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Language skills
required
Programme length
Full time study for two academic years.
Study mode
Face-to-face learning
Application status
International students:
Students with Icelandic or Nordic citizenship:
Overview

  • Do you want to learn more about the environment, recycling and sustainability?
  • Do you want to find solutions and design products and procedures that improve society?
  • Would you like to learn more about energy and how it can be generated and used in a sustainable way?
  • Do you want to make the world a better place?

MS students in mechanical engineering complete an extensive research project, often in partnership with a company, which can lead to job opportunities after graduation. Dynamic research, strong links with industry, and international partnerships ensure that student projects are based on real-world conditions and the most up-to-date knowledge.

Programme structure

The programme is 120 ECTS and is organised as two years of full-time study.

The programme is made up of:

  • Courses, 60-90 ECTS
  • Research project, 30-60 ECTS

Specialisations

Students may choose between the following specialisation

Most or all courses are electives, chosen in consultation with the administrative supervisor to suit the student's areas of interest.

Organisation of teaching

This programme is taught in Icelandic but the learning material is generally in English.

There are various funding opportunities for Master's students and good work facilities are available.

Main objectives

Students should acquire the knowledge and skills required to analyse and resolve complex problems in various specialist areas of mechanical engineering. Students will learn to adopt independent and creative thinking in their approach to problems and develop the ability to analyse issues to produce clear conclusions.

Students should become familiar with the most up-to-date knowledge in mechanical engineering.

Other

After completing the Master's degree in mechanical engineering, students can apply for the right to use the title of engineer. This professional title is legally protected.

Completing a Master's degree in mechanical engineering allows you to apply for doctoral studies.

  1. Applicants must have completed a BS degree in mechanical engineering or similar subjects at the University of Iceland, or a comparable degree from another University with a grade point average of at least 6.5 on a scale from 1-10. Additional Prerequisite courses may be required.
  2. All international applicants, whose native language is not English, are required to provide results of the TOEFL (79) or IELTS (6.5) tests as evidence of English proficiency.
  3. Applicants are asked to submit a letter of motivation, 1 page, where they should state the reasons they want to pursue graduate work, their academic goals and a suggestion or outline for a final paper.
  4. Letters of recommendation (2) should be submitted. These should be from faculty members or others who are familiar with your academic work and qualified to evaluate your potential for graduate study. Please ask your referees to send their letters of recommendation directly to the University of Iceland electronically by e-mail (PDF file as attachment) to transcript@hi.is. 

120 ECTS credits have to be completed for the qualification. Organised as a two-year programme. The study is either 90 ECTS credits in courses and 30 ECTS credits in an individual project or 60 ECTS credits in courses and 60 ECTS credits in an individual project. The choice between 30 and 60 ECTS credit MS projects must be agreed by a faculty advisor.

The following documents must accompany an application for this programme:
  • CV
  • Statement of purpose
  • Reference 1, Name and email
  • Reference 2, Name and email
  • Certified copies of diplomas and transcripts
  • Proof of English proficiency

Further information on supporting documents can be found here

Programme structure

Check below to see how the programme is structured.

  • First year
  • Fall
Year unspecified | Fall
Geothermal Power Plants (VÉL114F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

The main topics of the course are: 

  • Geothermal power plants worldwide and in Iceland.
  • Thermodynamics in flash power plants, power cycles.
  • Steam separators, condensers, incondensable gases, cooling.
  • Alternative power cycles, ORC and Kalina power plants.
  • Co-production of heat and power.
  • Mechanical design of pipe systems, especially for steam and steam gathering.
  • Scaling and corrosion.  Environmental effects related to geothermal utilization.
  • Economics and cost, both in building phase and operation.
  • Exergy and its relation to environmental conditions.
  • Energy and exergy analysis, Sankey og Grassmann charts.
  • Flow of energy cost, thermo-economics and estimation of net cost in improving parts of energy systems.
  • Production control and equipment for process regulation.
Language of instruction: English
Face-to-face learning
Year unspecified | Fall
Thesis (VÉL118F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

Students are given the opportunity to suggest an idea for project topics in consultation with faculty members.

Language of instruction: Icelandic/English
Self-study
Year unspecified | Fall
Geothermal Wells (VÉL120F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

The main topics of the course are: 

  • Geothermal wells, different types and drilling methods.
  • Well casings and mechanical design of geothermal wells.
  • Well cementing, work procedures and standards.
  • Wellheads and their design.  Load on wellheads and related security issues.
  • Well logging and measurements along wells. Methods for measuring temperature and pressure.
  • Well flow initiation and measurement of the mass flow of steam and water. Energy flow from geothermal wells and potential power production capacity.
  • Two phase flow of steam and water. Flow in wells and steam gathering pipes on the surface. Flow properties and determination of flow regimes. Pressure variations in two phase flow.
Language of instruction: English
Face-to-face learning
Not taught this semester
Year unspecified | Fall
Fish Processing Technology 1 (VÉL502M)
Free elective course within the programme
6 ECTS, credits
Course Description

The role of the fish industry in the Icelandic economy. Fish as raw material, its composition, physical and chemical properties. Fish stocks, fishing gear, selectivity. Storage methods on board and after landing. Processing methods, production process and processing equipment for cooling, superchilling, freezing, salting, drying, canning and shell process. Energy and mass balance for each step in the process and the whole process. 

Language of instruction: English
Face-to-face learning
Not taught this semester
Year unspecified | Fall
Quality Management (IÐN101M)
Free elective course within the programme
6 ECTS, credits
Course Description

Organization and management systems. The systems approach. Quality management, quality concepts. Historical development of quality management. Quality cost. Quality in manufacturing. x, R, p, c and cusum-chart. Statistical quality control. Tests of hypotheses. Acceptance sampling - OC curves. Inspection planning. Quality systems and quality assurance. Quality handbook and organizing for quality. ISO 9001. Total Quality Management, improvement step by step, motivations theories. Quality tools. Practical assignment: Designing a quality system for a company.

Language of instruction: Icelandic
Face-to-face learning
Not taught this semester
Year unspecified | Fall
Computational Intelligence (IÐN102M)
Free elective course within the programme
6 ECTS, credits
Course Description

Basic aspects of computational intelligence, which is the study of algorithms that improve automatically through experience.

Language of instruction: Icelandic
Face-to-face learning
The course is taught if the specified conditions are met
Year unspecified | Fall
Operations Research 2 (IÐN508M)
Free elective course within the programme
6 ECTS, credits
Course Description

This course will introduce the student to decision and optimization models in operations research. On completing the course the student will be able to formulate, analyze, and solve mathematical models, which represent real-world problems, and critically interpret their results. The course will cover integer programming and modeling with stochastic programming. The student will become familiar with building mathematical models using Python.

Language of instruction: Icelandic
Face-to-face learning
Year unspecified | Fall
Medical Imaging Systems (RAF507M)
Free elective course within the programme
6 ECTS, credits
Course Description

Introduction to the instrumentation, physics and signal processing methods used in medical imaging systems from a signal processing perspective. The modalities covered include projection radiography, X-ray computed tomography, nuclear medicine (i.e. SPECT and PET), ultrasound, and magnetic resonance imaging.  The primary focus is on the methods required to reconstruct images within each modality, the kind of signals being measured and how these data culminate in an image.  Attention will also be given to image quality in each modality, including resolution, contrast, signal-to-noise ratio, and distortion of images.

Language of instruction: Icelandic
Face-to-face learning
Year unspecified | Fall
Cloud Computing and Big Data (REI504M)
Free elective course within the programme
6 ECTS, credits
Course Description

Overview of high performance computing (HPC) and “Big Data”, HPC environments with computing, network and storage resources, overview of parallel programming. Storage infrastructures and services for Big Data, Big Data analytics, the map-reduce paradigm, structured and unstructured data. Practical exercises: (A) Students will use the Amazon Web Services (AWS) cloud or equivalent to set up a multi-computer web service and an associated multi-computer testing application. (B) Students will get hands on experience of processing large data sets using map-reduce techniques with AWS.

Language of instruction: English
Face-to-face learning
Year unspecified | Fall
Machine Learning (REI505M)
Free elective course within the programme
6 ECTS, credits
Course Description

An overview of some of the main concepts, techniques and algorithms in machine learning. Supervised learning and unsupervised learning. Data preprocessing and data visualization. Model evaluation and model selection. Linear regression, nearest neighbors, support vector machines, decision trees and ensemble methods. Deep learning. Cluster analysis and the k-means algorithm. The students implement simple algorithms in Python and learn how to use specialized software packages. At the end of the course the students work on a practical machine learning project.

Language of instruction: English
Face-to-face learning
Year unspecified | Fall
Membrane Technology (UMV501M)
Free elective course within the programme
6 ECTS, credits
Course Description

Objectives: This course is to provide an understanding of membrane technology applied in various industries, such as utilities (water and sewer), environmental industry, food industry, pharmaceutical industry, and chemical/biochemical industry. 

Topics: (1) Membrane technology as a solution in industries (separation and purification of food, pharmaceutical,  and chemical products) and in environments (water and wastewater treatment; air pollution control; nutrients recovery and reuse); (2) Membrane materials, chemical-based synthesis methods, modifications; (3) Membrane physical, chemical, and mechanical properties and characterization; (4) Transport phenomena in membrane processes; (5) Membrane fouling and fouling mitigation; (6) Membrane operation unit (such as microfiltration, ultrafiltration, nanofiltration, reverse osmosis, forward osmosis, pressure retarded osmosis, membrane distillation, electrodialysis, gas separation) and their applications in industries; (7) Hybrid membrane processes and their applications in industries; (8) Membrane system design.

Teaching: Lectures (teaching lecture, tutorial lecture, lab lecture) and a group project. Teaching lectures introduce the fundamentals and advances of membrane technology, the application of membrane technology in industry. Tutorial lectures are provided to discuss calculation questions and solutions with students. Lab lecture is performed in the research lab to demonstrate selected membrane processes and allow students hands-on practice. In the group project, students review literatures of a selected topic relating to advanced membrane technology, write a report, and give an oral presentation. 

The course is also suitable for students specializing in other fields than Civil or Environmental Engineering, e.g., Chemical engineering, Industrial Engineering, Mechanical Engineering, Bioengineering, and Food science.

Language of instruction: English
Face-to-face learning
Year unspecified | Fall
Final project (VÉL441L)
A mandatory (required) course for the programme
0 ECTS, credits
Course Description
  • The topic of the Master's thesis must be chosen under the guidance of the supervisor and the Faculty Coordinator of the student. The thesis represents 30 or 60 credits. All Master's student have been assigned to a Faculty Coordinator from the beginning of their studies, who advises the student regarding the organization of the program. If a student does not have a supervisor for the final project, he / she must turn to the Faculty Coordinator for assistance.
  • The choice of topic is primarily the responsibility of the student in collaboration with his or her project supervisor. The topic of the project should fall within the student's area of study, i.e. course of study and chosen specialisation.
  • The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
  • Final project exam is divided into two parts: Oral examination and open lecture
  • Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
  • The student delivers a thesis and a project poster.
  • According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
  • All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
  • According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.

Learning Outcomes:

Upon completion of an MS thesis, the student should be able to:

  • Formulate engineering design project  / research questions
  • Use an appropriate theoretical framework to shed light on his / her topic
  • Analyze and solve engineering tasks in a specialized field.
  • Perform a literature search and a thorough review of the literature.
  • Demonstrate initiative and independent creative thinking.
  • Use economic methodology to answer a specific research question
  • Competently discuss the current knowledge within the field and contribute to it with own research
  • Work with results, analyze uncertainties and limitations and interpret results.
  • Assess the scope of a research project and plan the work accordingly
  • Effectively display results and provide logical reasoning and relate results to the state of knowledge.
Language of instruction: Icelandic/English
Self-study
Part of the total project/thesis credits
Year unspecified | Fall
Selected Topics in Mechanical Engineering (VÉL049F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

Students contact the teacher and the chair of department regarding registration for the course.

Language of instruction: Icelandic/English
Self-study
Not taught this semester
Year unspecified | Fall
Energy Intensive Production Processes (VÉL102M)
Free elective course within the programme
6 ECTS, credits
Course Description

The aim of the course is:- To give students overview of processes in materials engineering;- To encourage students to think about feasible ways to utilize renewable energy. The course will cover the industrial processes in some of the larger Icelandic companies, including the production of ferro-alloys, aluminium smelting, rockwool production, recycling of steel, algea and diatomitemining, and production of sodium chlorine, fertilizers, cement. The course will also cover some of the larger material engineering processes that are not in practice in Iceland but may be a feasible option for Icelandic industry. Students will get good overview of the processes, required materials, source of power and power consumption, pollution, products etc. Discussions will be held on the financial background for individual processes, covering aspects such as production cost, profit and the influences of market share changes. Grades are based on 2 larger projects the students work on through the semester. Field trips are an important part of the course.

Language of instruction: Icelandic
Face-to-face learning
Year unspecified | Fall
Computational Structural Mechanics (VÉL103M)
Free elective course within the programme
6 ECTS, credits
Course Description

The aim of this course is to give students an exposure to the theoretical basis of the finite element method and its implementation principles. Furthermore, to introduce the use of available finite element application software for solving real-life engineering problems.

The course covers such topics as: stiffness matrices, elements stiffness matrix, system stiffness matrix, local and global stiffness, shape functions, isoparametric formulation and numerical integration. Various elements are studied, such as, trusses and beams, plane elements, 3D elements, plates and shells. Students mostly solve problems in solid mechanics (stress analysis) but can choose to work on a design project in other areas, such as vibrations or heat transfer.

The course includes class lectures and work sessions where students solve problems, both in python (can also choose matlab) and in the commercial software Ansys, under the supervison of the instructor. There is extensive use of Python (Matlab) and Ansys in solving homework problems and semester projects.

Language of instruction: Icelandic
Face-to-face learning
Year unspecified | Fall
Vibration Analysis (VÉL101M)
Free elective course within the programme
6 ECTS, credits
Course Description

Spectral and wavelet analysis. Linear and nonlinear systems. Envelope and cepstrum analysis Measurement, identification and response problems. Vibrations of continuous systems. Formulation of finite element model for analysis of dynamic problems. Fault diagnostic and machine condition monitoring.

Language of instruction: Icelandic
Face-to-face learning
Year unspecified | Fall
Design Optimization (VÉL113F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

Optimum design concepts. Fundamentals of linear and nonlinear programming, constrained and unconstrained optimum design problems. Simulated annealing and genetic algorithms. Project and applications to realistic engineering design problems.

Language of instruction: English
Face-to-face learning
Year unspecified | Fall
Corrosion (VÉL501M)
Free elective course within the programme
6 ECTS, credits
Course Description

Basic thermodynamic and electrochemical principles that cause corrosion. Procedures of electrochemical measurements used to investigate corrosion behavior. Methods of corrosion protection and prevention, materials selection and design.

The course is taught every other year on even numbered years.

Language of instruction: English
Face-to-face learning
The course is taught if the specified conditions are met
Year unspecified | Fall
Condensed Matter Physics 1 (EÐL520M)
Free elective course within the programme
8 ECTS, credits
Course Description

The course is an introduction to some basic concepts of condensed matter physics. Curriculum: Chemical bonds, crystal structure, crystal symmetry, the reciprocal lattice. Vibrational modes of crystals, phonons, specific heat, thermal conductivity. The free electron model, band structure of condensed matter, effective mass. Metals, insulators and semiconductors. The course includes three labs.

Language of instruction: Icelandic/English
Face-to-face learning
Year unspecified | Fall
Time Series Analysis (IÐN113F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

ARMAX and other similar time series models. Non-stationary time series. Correlation and spectral analysis. Parameter estimation, parametric and non-parametric approaches, Least Squares and Maximum Likelihood. Model validation methods. Models with time dependent parameters. Numerical methods for minimization. Outlier detection and interpolation. Introduction to nonlinear time series models. Discrete state space models. Discrete state space models. Extensive use of MATLAB, especially the System Identification Toolbox.

Language of instruction: English
Distance learning
Self-study
Year unspecified | Fall
Continuum Mechanics and Heat Transfer (JEÐ503M)
Free elective course within the programme
7,5 ECTS, credits
Course Description

Objectives:   To introduce continuum mechanics, fluid dynamics and heat transfer and their application to problems in physics and geophysics. I. Stress and strain, stress fields, stress tensor, bending of plates, models of material behaviour: elastic, viscous, plastic materials. II. Fluids, viscous fluids, laminar and turbulent flow, equation of continuity, Navier-Stokes equation. III. Heat transfer: Heat conduction, convection, advection and geothermal resources. Examples and problems from various branches of physics will be studied, particularly from geophysics.

Teaching statement: To do well in this course, students should actively participate in the discussions, attend lectures, give student presentations and deliver the problem sets assigned in the course. Students will gain knowledge through the lectures, but it is necessary to do the exercises to understand and train the use of the concepts. The exercises are intergrated in the text of the book, it is recommended to do them while reading the text. Instructors will strive to make the concepts and terminology accessible, but it is expected that students study independently and ask questions if something is unclear. In order to improve the course and its content, it is appreciated that students participate in the course evaluation, both the mid-term and the end of term course evaluation.

Language of instruction: English
Face-to-face learning
Prerequisites
Year unspecified | Fall
Applied Linear Statistical Models (STÆ312M)
Free elective course within the programme
6 ECTS, credits
Course Description

The course focuses on simple and multiple linear regression as well as analysis of variance (ANOVA), analysis of covariance (ANCOVA) and binomial regression. The course is a natural continuation of a typical introductory course in statistics taught in various departments of the university.

We will discuss methods for estimating parameters in linear models, how to construct confidence intervals and test hypotheses for the parameters, which assumptions need to hold for applying the models and what to do when they are not met.

Students will work on projects using the statistical software R.

 

Language of instruction: Icelandic
Face-to-face learning
Prerequisites
Year unspecified | Fall
Thesis skills: project management, writing skills and presentation (VON001F)
Free elective course within the programme
4 ECTS, credits
Course Description

Introduction to the scientific method. Ethics of science and within the university community.
The role of the student, advisors and external examiner. Effective and honest communications.
Conducting a literature review, using bibliographic databases and reference handling. Thesis structure, formulating research questions, writing and argumentation. How scientific writing differs from general purpose writing. Writing a MS study plan and proposal. Practical skills for presenting tables and figures, layout, fonts and colors. Presentation skills. Project management for a thesis, how to divide a large project into smaller tasks, setting a work plan and following a timeline. Life after graduate school and being employable.

Language of instruction: English
Face-to-face learning
Online learning
Year unspecified | Spring 1
Food Engineering 2 (MAT803F)
Free elective course within the programme
8 ECTS, credits
Course Description

Course Description:

Objective: That students can evaluate food processes and calculate the main variables in different unit operations, plan and control food processes. To make students more capable of making decisions about changes in manufacture and transport processes.

In the lectures, the main food processes are reviewed:

  • The effect of holding time and temperature in manufacturing processes and water content and water activity on the quality and properties of foods
  • Processing/preservation methods such as chilling, superchilling, freezing and thawing, salting, smoking, heating and canning, drying, evaporation, separation and fermentation. Use of steam tables, enthalpy- and Mollier diagrams.  
  • Process flow diagrams/charts by process steps, material flow and balance calculations and risk analysis.
  • Processing and packaging equipment and packaging for different foods
  • Main parameters of production control.
  • Storage conditions (light, humidity, temperature, air composition, etc.) and key factors affecting changes in food during storage, transportation and sale/distribution of food.
  • Design considerations for food processing companies and the food value chain. Processing machines, storage methods, technologicalization, logistics and control of environmental factors, packaging, use of raw materials and energy, losses in the food value chain.

 

Teaching material: textbooks, lectures by teachers and scientific articles.  

 

The course will be taught in sessions, a total of 7 weeks from March to May. 

Recommended preparation: Food Processing Operations/Food Engineering 1/Fish Processing Technology 1

Language of instruction: English
Face-to-face learning
Course taught second half of the semester
Not taught this semester
Year unspecified | Spring 1
Engineering Design Processes (VÉL203M)
Free elective course within the programme
6 ECTS, credits
Course Description

Background for design and engineering design process. Conceptual design, need analysis, specifications, boundary conditions and evaluation criteria. Embodiment and detailed design. CAD system and development of computer graphics. Wire frame model, surface and solid models. Design for reliability, safety and environmental protection.

Language of instruction: Icelandic
Face-to-face learning
Year unspecified | Spring 1
Mechatronics (VÉL205M)
Free elective course within the programme
6 ECTS, credits
Course Description

Mechanical systems and mechatronics system elements. Mechanism, motors, drives, motion converters, sensors and transducers. Signal processing and microprocessor.

Language of instruction: Icelandic
Face-to-face learning
Year unspecified | Spring 1
Computer Aided Design (VÉL206M)
Free elective course within the programme
6 ECTS, credits
Course Description

In this course students are introduced to the basic concepts and methods for parametric representation of curves such as the Bezier-, Hermite- and NURBS curves.  Students will learn about the methods for representing three-dimensional wireframe-, solid- and surface models.  The course will cover the use of parameters when developing and creating three-dimensional modeling, the creation of assembly drawings using mating operators and how different engineering software solutions can communicate. 

The course provides a good fundamental overview of the available engineering software solutions – their advantages and limitations – and the students will learn about the current trends in their field, e.g. in the analysis, simulation, prototyping and manufacturing.  The current trends will be indroduced through guest lectures, company visits and a mini-seminar where the students write articles and present new and exciting research or new techniques (based on peer-review papers). 

Concurrently with the lectures, students work on an unstructured engineering project where they will engineer and build a working prototype, write the results in a report and present the results.

Language of instruction: English
Face-to-face learning
Year unspecified | Spring 1
Plastic, Metals and Fibre Composites (VÉL213F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

The objective of the course is to teach the principles of design with plastic, metals and fibre composites. The course includes topics such as material properties of plastics and manufacturing methods, fiber composites, sandwiches and calculations of stress and strains in  structures made of composites materials.

Language of instruction: English
Face-to-face learning
Year unspecified | Spring 1
Thesis (VÉL217F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

Students are given the opportunity to suggest an idea for project topics in consultation with faculty members.

Language of instruction: Icelandic
Self-study
The course is taught if the specified conditions are met
Year unspecified | Spring 1
Direct Geothermal Utilization (VÉL218F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

The main topics of the course are:

  • Energy usage in Iceland, a broad overview.
  • House heating and district heating systems:
  • Thermodynamics of house heating and energy flow in houses.  Heat loss and heat transfer from radiators.
  • Minimum requirements for indoor temperature levels, related to quality of living.
  • District heating connections to houses, obligatory equipment, heat exchangers.
  • Mathematical representation of district heating systems, steady and unsteady operation.
  • Base load for district heating suppliers, its determination based on weather data.
  • Swimming pools.
  • Greenhouses and heating of soil.
  • Snow melting and the use of heat in industry.
  • Fish farming.
  • Heat pumps.
Language of instruction: English
Face-to-face learning
Not taught this semester
Year unspecified | Spring 1
Fish Processing Technology 2 (VÉL601M)
Free elective course within the programme
6 ECTS, credits
Course Description

The main goal of the course is to train students to use their knowledge from various fields in mechanical engineering to organize and design fish processing plants and companies. Design requirements and design of production processes for fresh fish, frozen fish, dried fish, fish meal and canning plants. Production management, productivity estimates, quality control, wage structure, etc. for such companies. Heat and mass balances, steady and time dependent heat transfer, utilization of Heisler- and Mollier charts.

Exercises: Fish processing company or certain processes are analyzed and/or redesigned.

Language of instruction: Icelandic
Face-to-face learning
Not taught this semester
Year unspecified | Spring 1
Introduction to Nanotechnology (EÐL624M)
Free elective course within the programme
8 ECTS, credits
Course Description

Nanostructures and Nanomaterials, Nanoparticles, Nanowires, Thin films, thin film growth, growth modes, transport properties.  Characterization of nanomaterials, Crystallography,Particle Size Determination, Surface Structure, Scanning Tunneling Microscope, Atomic Force Microscope, X-ray diffraction (XRD), X-ray reflectometry (XRR), Scanning Electron Microscpe (SEM), and Transmission Electron Microscopy (TEM). Scaling of transistors, MOSFET, and finFET. Carbon Nanoscructures, Graphene and Carbon nanotubes. Lithography. Nanostructred Ferromagnetism. Nano-optics,  Plasmonics, metamaterials, cloaking and invinsibility. Molecular Electronics.

Language of instruction: Icelandic
Face-to-face learning
Not taught this semester
Year unspecified | Spring 1
Innovation, Product Development, Marketing (IÐN202M)
Free elective course within the programme
6 ECTS, credits
Course Description

An insight into the structure of innovation, product development and marketing and how to use this methodology as a tool of management in industrial companies. Theory and practical methods of innovation, product development and marketing. Training in project management and how to run integrated projects covering those three areas by solving realistic problems.

Language of instruction: Icelandic
Face-to-face learning
Prerequisites
Year unspecified | Spring 1
Field Course in Innovation and Entrepreneurship (II) (IÐN216F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

The course is a continuation of the course "Field Course in Innovation and Entrepreneurship (I)". This part of the course consists of detailed development of the business model related to a particular business opportunity. This work takes place in groups, where cross-disciplinary collaboration, between individuals with a background in business and individuals with a background in a particular technical or professional field related to the relevant opportunity, is emphasized. Projects can originate in an independent business idea or in collaboration with companies that partner with the course. In both cases, the emphasis will be on product or service develepment, built on technical or professional expertise, where the business case of the opportunity and its verification is in the foreground.

Language of instruction: Icelandic
Face-to-face learning
Course taught second half of the semester
Year unspecified | Spring 1
Field Course in Innovation and Entrepreneurship (I) (IÐN222F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

The course is taught in two parts, and the expectation is that students register for both parts. The course will cover the practical issues related to innovation and entrepreneurship. It covers the emergence of a business idea and the initial evaluation of the business opportunity, and the development and testing of a business model. This part of the course consists of lectures and case discussions that deal with various aspects of innovation and entrepreneurship: Analysis of business opportunities, evaluation of market size and unit contribution, the management of organizational units that are involved in innovation, financing, and other issues. Students will also tackle projects where they apply the methods taught in the class to isolated tasks in product and business development in both new and existing firms.

Language of instruction: Icelandic
Face-to-face learning
Prerequisites
Course taught first half of the semester
Not taught this semester
Year unspecified | Spring 1
Introduction to Systems Biology (LVF601M)
Free elective course within the programme
6 ECTS, credits
Course Description

Systems biology is an interdisciplinary field that studies the biological phenomena that emerge from multiple interacting biological elements. Understanding how biological systems change across time is a particular focus of systems biology. In this course, we will prioritize aspects of systems biology relevant to human health and disease.

This course provides an introduction to 1) basic principles in modelling molecular networks, both gene regulatory and metabolic networks; 2) cellular phenomena that support homeostasis like tissue morphogenesis and microbiome resilience, and 3) analysis of molecular patterns found in genomics data at population scale relevant to human disease such as patient classification and biomarker discovery. In this manner, the course covers the three major scales in systems biology: molecules, cells and organisms.

The course activities include reading and interpreting scientific papers, implementation of computational algorithms, working on a research project and presentation of scientific results.

Lectures will comprise of both (1) presentations on foundational concepts and (2) hands-on sessions using Python as the programming language. The course will be taught in English.

Language of instruction: English
Face-to-face learning
Year unspecified | Spring 1
Robotics and Computer Vision (RAF614M)
Free elective course within the programme
6 ECTS, credits
Course Description

Mathematical foundations of coordinate systems and transformations. Kinematics, direct and reverse solutions. Analysis and control of movements. Trajectories in three-dimensional space and interpolation between programmed trajectory points. Use of computer vision, sensors and end-effectors in robotics. Control and programming of robots. Excercises and simulations.

Language of instruction: Icelandic
Face-to-face learning
Year unspecified | Spring 1
Science and innovation in medical technology (RAF615M)
Free elective course within the programme
6 ECTS, credits
Course Description

This course provides an introduction to the diverse applications of electrical and computer engineering in medicine and medical technology.  Students will explore cutting-edge developments in the field through guest lecturers from industry professionals in Iceland who apply engineering methods to solve critical medical challenges. Key topics include signal and image processing in medicine and genetics, signal processing and sensors in relation to sleep and the central nervous system, prosthetics, artificial intelligence, and more. Finally, students will have the opportunity to design their own research projects focusing on applying engineering solutions to address medical challenges. Through this work, students will be introduced to writing research proposals and grant applications, with relevance to both industry and academic settings.

Language of instruction: Icelandic
Face-to-face learning
Prerequisites
Year unspecified | Spring 1
The AI lifecycle (REI603M)
Free elective course within the programme
6 ECTS, credits
Course Description

In this course, we study the AI lifecycle, i.e. the productionisation of AI methods.
We explore the following parts of the lifecycle:
- Data collection and preparation
- Feature engineering
- Model training
- Model evaluation
- Model deployment
- Model serving
- Model monitoring
- Model maintenance
Three large projects will be handed out during the semester where students compete to solve AI problems.

Language of instruction: English
Face-to-face learning
Year unspecified | Spring 1
Final project (VÉL441L)
A mandatory (required) course for the programme
0 ECTS, credits
Course Description
  • The topic of the Master's thesis must be chosen under the guidance of the supervisor and the Faculty Coordinator of the student. The thesis represents 30 or 60 credits. All Master's student have been assigned to a Faculty Coordinator from the beginning of their studies, who advises the student regarding the organization of the program. If a student does not have a supervisor for the final project, he / she must turn to the Faculty Coordinator for assistance.
  • The choice of topic is primarily the responsibility of the student in collaboration with his or her project supervisor. The topic of the project should fall within the student's area of study, i.e. course of study and chosen specialisation.
  • The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
  • Final project exam is divided into two parts: Oral examination and open lecture
  • Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
  • The student delivers a thesis and a project poster.
  • According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
  • All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
  • According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.

Learning Outcomes:

Upon completion of an MS thesis, the student should be able to:

  • Formulate engineering design project  / research questions
  • Use an appropriate theoretical framework to shed light on his / her topic
  • Analyze and solve engineering tasks in a specialized field.
  • Perform a literature search and a thorough review of the literature.
  • Demonstrate initiative and independent creative thinking.
  • Use economic methodology to answer a specific research question
  • Competently discuss the current knowledge within the field and contribute to it with own research
  • Work with results, analyze uncertainties and limitations and interpret results.
  • Assess the scope of a research project and plan the work accordingly
  • Effectively display results and provide logical reasoning and relate results to the state of knowledge.
Language of instruction: Icelandic/English
Self-study
Part of the total project/thesis credits
Year unspecified | Spring 1
Selected Topics in Mechanical Engineering (VÉL049F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

Students contact the teacher and the chair of department regarding registration for the course.

Language of instruction: Icelandic/English
Self-study
Year unspecified | Spring 1
Computational Fluid Dynamics (VÉL215F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

The main purpose is to develop methods of predicting numerical solutions in fluid mechanics and heat transfer. Especially of predicting boundary layer phenomena and modelling of turbulence transport properties. Both finite volume and finite difference methods are demonstrated. Solution of non-linear equations and stability criterium. Emphasis is laid on solution of practical problems.

The course is taught every other year on odd numbered years.

Language of instruction: English
Face-to-face learning
The course is taught if the specified conditions are met
Year unspecified | Spring 1
High Performance Computing (REI204M)
Free elective course within the programme
6 ECTS, credits
Course Description

Design of parallel computers and parallel programming models. Shared memory architecture. Message passing and distributed memory architecture. Parallel programming of computer clusters using MPI and multicore programming using OpenMP. Parallel algorithms for sorting, searching, linear algebra, and various graph problems.

Course topics will be very similar like HPC in Fall 2019:

http://www.morrisriedel.de/hpc-course-fall-2019

Positioning in the Field of High-Performance Computing (HPC)

  • Consists of techniques for programming & using large-scale HPC Systems
  • Approach: Get a broad understanding of what HPC is and what can be done
  • Goal: Train general HPC techniques and systems and selected details of domain-specific applications

Course Motivation

Parallel processing and distributed computing

  • Matured over the past three decades
  • Both emerged as a well-developed field in computer science
  • Still a lot of innovation, e.g. from hardware/software

‘Scientific computing‘ with Maple, Matlab, etc.

  • Performed on small (‘serial‘) computing machines like Desktop PCs or Laptops
  • An increasing number of cores enables ‘better scientific computing‘ today
  • Good for small & fewer complex applications, quickly reach memory limits

‘Advanced scientific computing‘

  • Used with computational simulations and large-scale machine & deep learning
  • Performed on large parallel computers; often scientific domain-specific approaches
  • Use orders of magnitude multi-core chips & large memory & specific many-core chips
  • Enables ‘simulations of reality‘ - often based on known physical laws and numerical methods

Language of instruction: English
Face-to-face learning
Year unspecified | Spring 1
Selected Topics in Mechanical Engineering (VÉL072M)
Free elective course within the programme
6 ECTS, credits
Course Description

Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

Students contact the teacher and the chair of department regarding registration for the course.

Language of instruction: Icelandic
Self-study
Year unspecified | Year unspecified
Fish Processing Technology 1 (MAT508M)
Free elective course within the programme
6 ECTS, credits
Course Description

The role of the fish industry in the Icelandic economy. Fish as raw material, its composition, physical and chemical properties. Fish stocks, fishing gear, selectivity. Storage methods on board and after landing. Processing methods, production process and processing equipment for cooling, superchilling, freezing, salting, drying, canning and shell process. Energy and mass balance for each step in the process and the whole process. 

Language of instruction: Icelandic
Face-to-face learning
First year | Fall
Renewable energy: introduction (UAU111F)
A mandatory (required) course for the programme
6 ECTS, credits
Course Description

Sustainable energy development requires a transition to low-carbon and environmentally benign energy resources.  This introductory course will;  i) provide an overview of the history energy use in the world and status of energy use today.  It in addition will provide an overview of various alternative energy futures derived from IEA scenarios, with focus on low-carbon energy resources and sustainability ii) provide an overview of conventional and alternative energy resources, such as hydropower, geothermal power, wave- , solar- and wind-power in addition to biomass with focus on physical and engineering perspectives, iii) given an introduction to electricity production iv) provide an overview over the environmental impact of energy use and v) provide an introduction to energy policy in the context of sustainable energy futures and other pressing issues such as climate change. 

The structure of the course consists of lectures and field trips.

The course is only open for students registered in the specialization renewable energy.

Language of instruction: English
Face-to-face learning
Prerequisites
First year | Fall
Geothermal Power Plants (VÉL114F)
A mandatory (required) course for the programme
7,5 ECTS, credits
Course Description

The main topics of the course are: 

  • Geothermal power plants worldwide and in Iceland.
  • Thermodynamics in flash power plants, power cycles.
  • Steam separators, condensers, incondensable gases, cooling.
  • Alternative power cycles, ORC and Kalina power plants.
  • Co-production of heat and power.
  • Mechanical design of pipe systems, especially for steam and steam gathering.
  • Scaling and corrosion.  Environmental effects related to geothermal utilization.
  • Economics and cost, both in building phase and operation.
  • Exergy and its relation to environmental conditions.
  • Energy and exergy analysis, Sankey og Grassmann charts.
  • Flow of energy cost, thermo-economics and estimation of net cost in improving parts of energy systems.
  • Production control and equipment for process regulation.
Language of instruction: English
Face-to-face learning
First year | Fall
Geothermal Wells (VÉL120F)
A mandatory (required) course for the programme
7,5 ECTS, credits
Course Description

The main topics of the course are: 

  • Geothermal wells, different types and drilling methods.
  • Well casings and mechanical design of geothermal wells.
  • Well cementing, work procedures and standards.
  • Wellheads and their design.  Load on wellheads and related security issues.
  • Well logging and measurements along wells. Methods for measuring temperature and pressure.
  • Well flow initiation and measurement of the mass flow of steam and water. Energy flow from geothermal wells and potential power production capacity.
  • Two phase flow of steam and water. Flow in wells and steam gathering pipes on the surface. Flow properties and determination of flow regimes. Pressure variations in two phase flow.
Language of instruction: English
Face-to-face learning
First year | Spring 1
Direct Geothermal Utilization (VÉL218F)
A mandatory (required) course for the programme
7,5 ECTS, credits
Course Description

The main topics of the course are:

  • Energy usage in Iceland, a broad overview.
  • House heating and district heating systems:
  • Thermodynamics of house heating and energy flow in houses.  Heat loss and heat transfer from radiators.
  • Minimum requirements for indoor temperature levels, related to quality of living.
  • District heating connections to houses, obligatory equipment, heat exchangers.
  • Mathematical representation of district heating systems, steady and unsteady operation.
  • Base load for district heating suppliers, its determination based on weather data.
  • Swimming pools.
  • Greenhouses and heating of soil.
  • Snow melting and the use of heat in industry.
  • Fish farming.
  • Heat pumps.
Language of instruction: English
Face-to-face learning
First year | Spring 1
Interdisciplinary Group Project Within Renewable Energy (VÉL240F)
A mandatory (required) course for the programme
4 ECTS, credits
Course Description

The course is split into two sessions:

Part 1: April 8th – 10th
Introduction, groups formed, and project planning.

Part 2: May 11th – 19th
Data gathering, group work, report and presentation.

This is an independent project course for students within the Renewable Energy Graduate Program. The project is based on interdisciplinary collaboration involving the following topics and related faculties:

Geothermal Engineering (Mechanical Engineering)
Hydroelectric Engineering (Environmental and Civil Engineering)
Electrical Power Engineering (Electrical and Computer Engineering)
Geothermal Resources (Earth Sciences)
Energy Economics, Policy and Sustainability (Environment and Natural Resources

In the project, realistic scenarios are considered that involve the students in evaluating the use of a resource for energy production or direct utilization. Main points of emphasis are:

Resource estimation and sustainability assessment.
Assessment of the possible utilization processes and engineering design of the chosen energy process.
Business plan for the project including capital cost estimates and sensitivity analysis of cost data.
Environmental assessment and permits for utilization and construction.
Social and environmental impacts of the project.
Project management of interdisciplinary projects.

Language of instruction: English
Face-to-face learning
Prerequisites
Year unspecified | Fall
Geothermal energy (JAR508M)
Free elective course within the programme
7,5 ECTS, credits
Course Description

Heat budget of the Earth, heat transport to the Earth´s surface. Geothermal systems and their structure, renewability of geothermal systems, methodology in geothermal development, estimation of resource size, fluid origin and chemistry, water-rock interaction, environmental impact of utilization, well testing and well data integration.  The coruse is taught during 7 week period first part of the fall semester.  It consists of lectures, practical, student lectures, student posters, essay and exams.  The course is taught in English.

Language of instruction: English
Face-to-face learning
Attendance required in class
Course taught first half of the semester
Not taught this semester
Year unspecified | Fall
Energy and resources of the Earth (JAR513M)
Free elective course within the programme
7,5 ECTS, credits
Course Description

sustainable development.  To approach sustainability we need a holistic vision which takes into account three major foundations: environment, economy and society.  The course will give an overview of Earth´s energy resources, generation and use of fossil fuels, non-renewable and renewable energy sources - including the non-renewable resources of coal, oil, gas, uranium and thorium. The course will cover resources that need to be carefully exploited such as geothermal, hydro- and bio-energy. Other topics of the course include renewable energy based on the sun, wind, tides and waves. The course will also outline the most important natural resources that are used for technology, infrastructue of society and in agriculture, including metals, fertilizers, soil and water. The course will cover how resources are formed, are used, how long they will last and what effect the use has on the environment, the economy and society.  Understanding the socio-economic system that drives natural resource consumption patterns is key to assessing the sustainability of resource management. Thus, recycling of non-renewable resources is also discussed in addition to recent prosperity thinking based on the circular economy and wellbeing economy.

Language of instruction: English
Face-to-face learning
Prerequisites
Attendance required in class
Year unspecified | Fall
Geothermal Reservoir Physics/Engineering (JEÐ116F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

A 7-week intensive course (later 7 weeks of autumn term). Taught if sufficient number of students. May be taugth as a reading course.

The course gives basic insight into geothermal reservoir engineering, on how to monitor, conceptualize, model and manage geothermal reservoirs. Contents:  Heat conduction and convection, well logging, heat and fluid transfer in geothermal reservoirs, well test analysis, resource assessment, lumped parameter modelling, two phase flow, numerical models, reservoir management, reinjection, production strategies and sustainability.

Course layout: Lectures, practical sessions, exercises/projects, student lecture on a selected topic and a one-day well logging field exercise.

Language of instruction: English
Face-to-face learning
The course is taught if the specified conditions are met
Prerequisites
Course taught second half of the semester
Year unspecified | Fall
Groundwater Hydrology (JEÐ502M)
Free elective course within the programme
7,5 ECTS, credits
Course Description

A 7-week intensive course (first 7 weeks of fall term). 

Taught if sufficient number of students. May be taugth as a reading course.

Occurrence of groundwater, the water content of soil, properties and types of aquifers (porosity, retention, yield, storage coefficients; unconfined, confined, leaky, homogeneous, isotropic aquifers). Principles of groundwater flow. Darcy's law, groundwater potential, potentiometric surface, hydraulic conductivity, transmissivity, permeability, determination of hydraulic conductivity in homogeneous and anisotropic aquifers, permeability, flow lines and flow nets, refraction of flow lines, steady and unsteady flow in confined, unconfined and leaky aquifers, general flow equations. Groundwater flow to wells, drawdown and recovery caused by pumping wells, determination of aquifer parameters from time-drawdown data, well loss, capacity and efficiency. Sea-water intrusion in coastal aquifers. Mass transport of solutes by groundwater flow. Quality and pollution of groundwater. Case histories from groundwater studies in Iceland. Numerical models of groundwater flow.   Students carry out an interdisciplinary project on groundwater hydrology and management.

Language of instruction: English
Face-to-face learning
The course is taught if the specified conditions are met
Prerequisites
Course taught first half of the semester
Year unspecified | Fall
Sustainable Development, Environmental Policy and Resource Management (UAU101F)
Free elective course within the programme
6 ECTS, credits
Course Description

Various incentives, policies and management initiatives are used to influence human behavior, to limit the ecological footprint (EF), and to promote sustainable development. This course focuses on environmental and resource management and policy - in the context of sustainable development (SD). The course is broken to three sessions. In the first session we assess the concept SD from various perspectives - followed by an attempt to operationalize the concept. We compare the concepts growth and SD and ask if the two are compatible and discuss sustainability indicators. In the second session we critically examine various tools that are frequently used in environmental and resource decision-making, such as formal decision analysis, cost-benefit and cost-effectiveness analysis in addition to valuing ecosystem services. In the third session we examine the ideological foundations behind environmental and resource policy, and assess various policy and management initiatives for diverse situations in a comparative international context. Examples are much based on student interests but possible examples include bottle-deposit systems, ITQ's, voluntary approaches and multi-criteria management.

Language of instruction: English
Face-to-face learning
Year unspecified | Fall
Corporate Environmental Management (UAU108F)
Free elective course within the programme
6 ECTS, credits
Course Description

This course seeks to explore the responsibility of companies towards the environment. Active participation of students is required by analysing issues related to companies, the natural environment and various stakeholders, but that is for instance done through a simulation and case studies.

The aim of the course is to create an understanding of and teach students to choose and employ the necessary tools to assess goals and make decisions when it comes to environmental and resource management in the context of sustainable development. Among the tools used are the Sustainable Development Goals, the Paris Agreement, the UN Global Compact, the Global Reporting Initiative and more.

The course is divided into three parts. In part one, we will explore the origins and meaning of corporate liability. The second part focuses on how to manage and implement corporate responsibility. In the third part, we will learn about corporate responsibility from the perspective of impact, criticism, and future prospects.

At a minimum, the successful completion of this course assumes that students have acquired a theoretical understanding of the subject, are able to apply the methods that have been taught and are literate in case of information related to companies and their environmental issues, outcomes, and impacts.

Language of instruction: English
Face-to-face learning
Year unspecified | Fall
Final project (VÉL441L)
A mandatory (required) course for the programme
0 ECTS, credits
Course Description
  • The topic of the Master's thesis must be chosen under the guidance of the supervisor and the Faculty Coordinator of the student. The thesis represents 30 or 60 credits. All Master's student have been assigned to a Faculty Coordinator from the beginning of their studies, who advises the student regarding the organization of the program. If a student does not have a supervisor for the final project, he / she must turn to the Faculty Coordinator for assistance.
  • The choice of topic is primarily the responsibility of the student in collaboration with his or her project supervisor. The topic of the project should fall within the student's area of study, i.e. course of study and chosen specialisation.
  • The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
  • Final project exam is divided into two parts: Oral examination and open lecture
  • Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
  • The student delivers a thesis and a project poster.
  • According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
  • All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
  • According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.

Learning Outcomes:

Upon completion of an MS thesis, the student should be able to:

  • Formulate engineering design project  / research questions
  • Use an appropriate theoretical framework to shed light on his / her topic
  • Analyze and solve engineering tasks in a specialized field.
  • Perform a literature search and a thorough review of the literature.
  • Demonstrate initiative and independent creative thinking.
  • Use economic methodology to answer a specific research question
  • Competently discuss the current knowledge within the field and contribute to it with own research
  • Work with results, analyze uncertainties and limitations and interpret results.
  • Assess the scope of a research project and plan the work accordingly
  • Effectively display results and provide logical reasoning and relate results to the state of knowledge.
Language of instruction: Icelandic/English
Self-study
Part of the total project/thesis credits
Year unspecified | Fall
Selected Topics in Mechanical Engineering (VÉL049F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

Students contact the teacher and the chair of department regarding registration for the course.

Language of instruction: Icelandic/English
Self-study
Not taught this semester
Year unspecified | Fall
Energy Intensive Production Processes (VÉL102M)
Free elective course within the programme
6 ECTS, credits
Course Description

The aim of the course is:- To give students overview of processes in materials engineering;- To encourage students to think about feasible ways to utilize renewable energy. The course will cover the industrial processes in some of the larger Icelandic companies, including the production of ferro-alloys, aluminium smelting, rockwool production, recycling of steel, algea and diatomitemining, and production of sodium chlorine, fertilizers, cement. The course will also cover some of the larger material engineering processes that are not in practice in Iceland but may be a feasible option for Icelandic industry. Students will get good overview of the processes, required materials, source of power and power consumption, pollution, products etc. Discussions will be held on the financial background for individual processes, covering aspects such as production cost, profit and the influences of market share changes. Grades are based on 2 larger projects the students work on through the semester. Field trips are an important part of the course.

Language of instruction: Icelandic
Face-to-face learning
Year unspecified | Fall
Computational Structural Mechanics (VÉL103M)
Free elective course within the programme
6 ECTS, credits
Course Description

The aim of this course is to give students an exposure to the theoretical basis of the finite element method and its implementation principles. Furthermore, to introduce the use of available finite element application software for solving real-life engineering problems.

The course covers such topics as: stiffness matrices, elements stiffness matrix, system stiffness matrix, local and global stiffness, shape functions, isoparametric formulation and numerical integration. Various elements are studied, such as, trusses and beams, plane elements, 3D elements, plates and shells. Students mostly solve problems in solid mechanics (stress analysis) but can choose to work on a design project in other areas, such as vibrations or heat transfer.

The course includes class lectures and work sessions where students solve problems, both in python (can also choose matlab) and in the commercial software Ansys, under the supervison of the instructor. There is extensive use of Python (Matlab) and Ansys in solving homework problems and semester projects.

Language of instruction: Icelandic
Face-to-face learning
Year unspecified | Fall
Vibration Analysis (VÉL101M)
Free elective course within the programme
6 ECTS, credits
Course Description

Spectral and wavelet analysis. Linear and nonlinear systems. Envelope and cepstrum analysis Measurement, identification and response problems. Vibrations of continuous systems. Formulation of finite element model for analysis of dynamic problems. Fault diagnostic and machine condition monitoring.

Language of instruction: Icelandic
Face-to-face learning
Year unspecified | Fall
Design Optimization (VÉL113F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

Optimum design concepts. Fundamentals of linear and nonlinear programming, constrained and unconstrained optimum design problems. Simulated annealing and genetic algorithms. Project and applications to realistic engineering design problems.

Language of instruction: English
Face-to-face learning
Year unspecified | Fall
Corrosion (VÉL501M)
Free elective course within the programme
6 ECTS, credits
Course Description

Basic thermodynamic and electrochemical principles that cause corrosion. Procedures of electrochemical measurements used to investigate corrosion behavior. Methods of corrosion protection and prevention, materials selection and design.

The course is taught every other year on even numbered years.

Language of instruction: English
Face-to-face learning
The course is taught if the specified conditions are met
Year unspecified | Fall
Condensed Matter Physics 1 (EÐL520M)
Free elective course within the programme
8 ECTS, credits
Course Description

The course is an introduction to some basic concepts of condensed matter physics. Curriculum: Chemical bonds, crystal structure, crystal symmetry, the reciprocal lattice. Vibrational modes of crystals, phonons, specific heat, thermal conductivity. The free electron model, band structure of condensed matter, effective mass. Metals, insulators and semiconductors. The course includes three labs.

Language of instruction: Icelandic/English
Face-to-face learning
Year unspecified | Fall
Time Series Analysis (IÐN113F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

ARMAX and other similar time series models. Non-stationary time series. Correlation and spectral analysis. Parameter estimation, parametric and non-parametric approaches, Least Squares and Maximum Likelihood. Model validation methods. Models with time dependent parameters. Numerical methods for minimization. Outlier detection and interpolation. Introduction to nonlinear time series models. Discrete state space models. Discrete state space models. Extensive use of MATLAB, especially the System Identification Toolbox.

Language of instruction: English
Distance learning
Self-study
Year unspecified | Fall
Continuum Mechanics and Heat Transfer (JEÐ503M)
Free elective course within the programme
7,5 ECTS, credits
Course Description

Objectives:   To introduce continuum mechanics, fluid dynamics and heat transfer and their application to problems in physics and geophysics. I. Stress and strain, stress fields, stress tensor, bending of plates, models of material behaviour: elastic, viscous, plastic materials. II. Fluids, viscous fluids, laminar and turbulent flow, equation of continuity, Navier-Stokes equation. III. Heat transfer: Heat conduction, convection, advection and geothermal resources. Examples and problems from various branches of physics will be studied, particularly from geophysics.

Teaching statement: To do well in this course, students should actively participate in the discussions, attend lectures, give student presentations and deliver the problem sets assigned in the course. Students will gain knowledge through the lectures, but it is necessary to do the exercises to understand and train the use of the concepts. The exercises are intergrated in the text of the book, it is recommended to do them while reading the text. Instructors will strive to make the concepts and terminology accessible, but it is expected that students study independently and ask questions if something is unclear. In order to improve the course and its content, it is appreciated that students participate in the course evaluation, both the mid-term and the end of term course evaluation.

Language of instruction: English
Face-to-face learning
Prerequisites
Year unspecified | Fall
Applied Linear Statistical Models (STÆ312M)
Free elective course within the programme
6 ECTS, credits
Course Description

The course focuses on simple and multiple linear regression as well as analysis of variance (ANOVA), analysis of covariance (ANCOVA) and binomial regression. The course is a natural continuation of a typical introductory course in statistics taught in various departments of the university.

We will discuss methods for estimating parameters in linear models, how to construct confidence intervals and test hypotheses for the parameters, which assumptions need to hold for applying the models and what to do when they are not met.

Students will work on projects using the statistical software R.

 

Language of instruction: Icelandic
Face-to-face learning
Prerequisites
Year unspecified | Fall
Thesis skills: project management, writing skills and presentation (VON001F)
Free elective course within the programme
4 ECTS, credits
Course Description

Introduction to the scientific method. Ethics of science and within the university community.
The role of the student, advisors and external examiner. Effective and honest communications.
Conducting a literature review, using bibliographic databases and reference handling. Thesis structure, formulating research questions, writing and argumentation. How scientific writing differs from general purpose writing. Writing a MS study plan and proposal. Practical skills for presenting tables and figures, layout, fonts and colors. Presentation skills. Project management for a thesis, how to divide a large project into smaller tasks, setting a work plan and following a timeline. Life after graduate school and being employable.

Language of instruction: English
Face-to-face learning
Online learning
Year unspecified | Spring 1
Hydropower Plants (UMV605M)
Free elective course within the programme
6 ECTS, credits
Course Description

Iceland is somewhat unique in that almost all electricity is produced with renewable energy sources. Hydropower is one of the two main pillars of electricity supply in Iceland, together with geothermal power. 

Goal: Provide technological insights into hydropower harnessing, with special emphasis on Icelandic conditions. This is a critical class in the emphasis areas of Water Resources Engineering and Renewable Energy Engineering, and touches upon United Nations Sustainable Development Goal nr. 7, sustainable energy.

Topics: Hydropower potential. Technically feasible hydropower. Main structural components in a hydropower plant. Structural design of hydropower plants, both underground (tunnels) and above ground (dams, spillways). Regulations. Environment, health and safety considerations over life cycle of plant. Ice and sedimentation. Hydro- and electromechanical components. Electricity production. 

Assessment

Term assignments/projects, final presentation and oral final exam at the end of semester. 

Teaching methods 

Emphasis is on self-study and independent project work. Weekly meetings, 3 x 40 min, are planned. A field site visit is planned. The class is taught in English.

Students in following specialization have predecedence over others in registration in the course:  Renewable Energy - Hydroelectric Engineering, Water resource engineering

Language of instruction: English
Face-to-face learning
Prerequisites
Year unspecified | Spring 1
Sustainable Energy Options (UAU213M)
Free elective course within the programme
6 ECTS, credits
Course Description

Mankind depends heavily on energy for virtually every aspect of daily life. The main energy source is currently fossil fuels, but the associated pollution (greenhouse gasses, particulate matter, ...), and the fact that it is a limited resource, has lead to an increased interest in other energy resources. Sustainable energy development is the requirement, and in this course we will look at different energy options. For example, we will consider hydropower, geothermal energy, wave-, wind- and solar-energy and biomass energy (nuclear energy).  An overview of current energy use in the world and fossil fuels will be given.

The physical principles behind each energy source will be explained. Also the environmental impact, the associated risks, policy and economics of different energy options.

Language of instruction: English
Face-to-face learning
Prerequisites
Not taught this semester
Year unspecified | Spring 1
Water Supply and Drinking Water Quality (UMV601M)
Free elective course within the programme
6 ECTS, credits
Course Description

The aim of this course is to introduce water supply systems design and operation, and how to secure drinking water safety.  Also to introduce simple solutions for water supply in rural areas.

Course content: Legal framework for water supply. Drinking water quality requirement, threats to water quality and preventive management to secure public health. Water demand estimate for design. Water resources, water harnessing and water supply solutions.  Main elements of water treatment. Storage tanks and their design. Pumps and pumps selections. Design of supply network. Pipes, valves and hydrants.

The course includes design project of a small water supply from catchment to consumer, project in water safety planning including risk assessment and planning of preventive measures to secure water safety, and a field visit.

Language of instruction: English
Face-to-face learning
Prerequisites
Year unspecified | Spring 1
Wastewater collection and urban drainage (UMV602M)
Free elective course within the programme
6 ECTS, credits
Course Description

This is an introductory course in the collection and transportation of wastewater in urban areas. This class covers topics relating to the United Nations Sustainable Development goals nr. 6 (sanitation) and nr. 11 (sustainable cities).

Course contents: Chemical and biological characteristics of sewage and stormwater. Types and quantities of sanitary sewage.  Design of wastewater systems: Pipe flow calculations, allowable pipe slopes and water speeds, Manning´s equation. System components: Pipelines, manholes, pumping stations, combined sewer overflows. Construction, operation and rehabilitation of sewers. Rainwater quantity: Rainfall intensity, duration, frequency and run-off coefficients. Causes and characteristics of urban floods in Iceland. Climate adaptation with sustainable, blue-green stormwater management. Soil capacity to infiltrate water in cold climate. 

The course includes a design project of a wastewater system, data collection and analyses.

Language of instruction: English
Face-to-face learning
Year unspecified | Spring 1
Final project (VÉL441L)
A mandatory (required) course for the programme
0 ECTS, credits
Course Description
  • The topic of the Master's thesis must be chosen under the guidance of the supervisor and the Faculty Coordinator of the student. The thesis represents 30 or 60 credits. All Master's student have been assigned to a Faculty Coordinator from the beginning of their studies, who advises the student regarding the organization of the program. If a student does not have a supervisor for the final project, he / she must turn to the Faculty Coordinator for assistance.
  • The choice of topic is primarily the responsibility of the student in collaboration with his or her project supervisor. The topic of the project should fall within the student's area of study, i.e. course of study and chosen specialisation.
  • The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
  • Final project exam is divided into two parts: Oral examination and open lecture
  • Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
  • The student delivers a thesis and a project poster.
  • According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
  • All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
  • According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.

Learning Outcomes:

Upon completion of an MS thesis, the student should be able to:

  • Formulate engineering design project  / research questions
  • Use an appropriate theoretical framework to shed light on his / her topic
  • Analyze and solve engineering tasks in a specialized field.
  • Perform a literature search and a thorough review of the literature.
  • Demonstrate initiative and independent creative thinking.
  • Use economic methodology to answer a specific research question
  • Competently discuss the current knowledge within the field and contribute to it with own research
  • Work with results, analyze uncertainties and limitations and interpret results.
  • Assess the scope of a research project and plan the work accordingly
  • Effectively display results and provide logical reasoning and relate results to the state of knowledge.
Language of instruction: Icelandic/English
Self-study
Part of the total project/thesis credits
Year unspecified | Spring 1
Selected Topics in Mechanical Engineering (VÉL049F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

Students contact the teacher and the chair of department regarding registration for the course.

Language of instruction: Icelandic/English
Self-study
Year unspecified | Spring 1
Computational Fluid Dynamics (VÉL215F)
Free elective course within the programme
7,5 ECTS, credits
Course Description

The main purpose is to develop methods of predicting numerical solutions in fluid mechanics and heat transfer. Especially of predicting boundary layer phenomena and modelling of turbulence transport properties. Both finite volume and finite difference methods are demonstrated. Solution of non-linear equations and stability criterium. Emphasis is laid on solution of practical problems.

The course is taught every other year on odd numbered years.

Language of instruction: English
Face-to-face learning
The course is taught if the specified conditions are met
Year unspecified | Spring 1
High Performance Computing (REI204M)
Free elective course within the programme
6 ECTS, credits
Course Description

Design of parallel computers and parallel programming models. Shared memory architecture. Message passing and distributed memory architecture. Parallel programming of computer clusters using MPI and multicore programming using OpenMP. Parallel algorithms for sorting, searching, linear algebra, and various graph problems.

Course topics will be very similar like HPC in Fall 2019:

http://www.morrisriedel.de/hpc-course-fall-2019

Positioning in the Field of High-Performance Computing (HPC)

  • Consists of techniques for programming & using large-scale HPC Systems
  • Approach: Get a broad understanding of what HPC is and what can be done
  • Goal: Train general HPC techniques and systems and selected details of domain-specific applications

Course Motivation

Parallel processing and distributed computing

  • Matured over the past three decades
  • Both emerged as a well-developed field in computer science
  • Still a lot of innovation, e.g. from hardware/software

‘Scientific computing‘ with Maple, Matlab, etc.

  • Performed on small (‘serial‘) computing machines like Desktop PCs or Laptops
  • An increasing number of cores enables ‘better scientific computing‘ today
  • Good for small & fewer complex applications, quickly reach memory limits

‘Advanced scientific computing‘

  • Used with computational simulations and large-scale machine & deep learning
  • Performed on large parallel computers; often scientific domain-specific approaches
  • Use orders of magnitude multi-core chips & large memory & specific many-core chips
  • Enables ‘simulations of reality‘ - often based on known physical laws and numerical methods

Language of instruction: English
Face-to-face learning
Year unspecified | Spring 1
Selected Topics in Mechanical Engineering (VÉL072M)
Free elective course within the programme
6 ECTS, credits
Course Description

Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

Students contact the teacher and the chair of department regarding registration for the course.

Language of instruction: Icelandic
Self-study
Not taught this semester
Year unspecified | Year unspecified
Environmental Impact Assessment 1 (UMV205M, UMV205M)
Free elective course within the programme
6/6 ECTS, credits
Course Description

Aim: To give an overview of the principles of Environmental Impact Assessment (EIA) of anthropogenic activities and to introduce the procedures and methods used in the environmental assessment process. At the end of the course, students should have gained an understanding of the main principles of EIA and the methods used for its application.  After having completed the course, students should be able to actively participate in the making of EIA. Subject: Environmental Impact Assessment of Projects is the main subject of the course.  EIA is a systematic process meant to streamline development projects by minimizing environmental effects. The first part of the course is an introduction to the global context and history of EIA, the subject of EIA, and an introduction to the EIA methodology.  The second part of the course focuses on processes. The aim, subject, and process of EIA will be explained, including a discussion on the various stages and aspects of the EIA procedure (such as screening, scoping, participants, stakeholders and consultation, impact prediction and assessment, reporting and monitoring).  Although the examples of processes, definitions and methods introduced in the course will be based on the Icelandic legislation, the learning outcome will be of practical use for all students, without regard to their nationality. Through individual assignments, each student will be able to explore the EIA process in context with an area of their choice.  

Language of instruction: English
Face-to-face learning
Prerequisites
Not taught this semester
Year unspecified | Year unspecified
Environmental Impact Assessment 1 (UMV205M, UMV205M)
Free elective course within the programme
6/6 ECTS, credits
Course Description

Aim: To give an overview of the principles of Environmental Impact Assessment (EIA) of anthropogenic activities and to introduce the procedures and methods used in the environmental assessment process. At the end of the course, students should have gained an understanding of the main principles of EIA and the methods used for its application.  After having completed the course, students should be able to actively participate in the making of EIA. Subject: Environmental Impact Assessment of Projects is the main subject of the course.  EIA is a systematic process meant to streamline development projects by minimizing environmental effects. The first part of the course is an introduction to the global context and history of EIA, the subject of EIA, and an introduction to the EIA methodology.  The second part of the course focuses on processes. The aim, subject, and process of EIA will be explained, including a discussion on the various stages and aspects of the EIA procedure (such as screening, scoping, participants, stakeholders and consultation, impact prediction and assessment, reporting and monitoring).  Although the examples of processes, definitions and methods introduced in the course will be based on the Icelandic legislation, the learning outcome will be of practical use for all students, without regard to their nationality. Through individual assignments, each student will be able to explore the EIA process in context with an area of their choice.  

Language of instruction: English
Face-to-face learning
Prerequisites
Year unspecified | Year unspecified
Fish Processing Technology 1 (MAT508M)
Free elective course within the programme
6 ECTS, credits
Course Description

The role of the fish industry in the Icelandic economy. Fish as raw material, its composition, physical and chemical properties. Fish stocks, fishing gear, selectivity. Storage methods on board and after landing. Processing methods, production process and processing equipment for cooling, superchilling, freezing, salting, drying, canning and shell process. Energy and mass balance for each step in the process and the whole process. 

Language of instruction: Icelandic
Face-to-face learning
First year
  • Fall
  • Fall
  • VÉL114F
    Geothermal Power Plants
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The main topics of the course are: 

    • Geothermal power plants worldwide and in Iceland.
    • Thermodynamics in flash power plants, power cycles.
    • Steam separators, condensers, incondensable gases, cooling.
    • Alternative power cycles, ORC and Kalina power plants.
    • Co-production of heat and power.
    • Mechanical design of pipe systems, especially for steam and steam gathering.
    • Scaling and corrosion.  Environmental effects related to geothermal utilization.
    • Economics and cost, both in building phase and operation.
    • Exergy and its relation to environmental conditions.
    • Energy and exergy analysis, Sankey og Grassmann charts.
    • Flow of energy cost, thermo-economics and estimation of net cost in improving parts of energy systems.
    • Production control and equipment for process regulation.
    Face-to-face learning
    Prerequisites
  • VÉL118F
    Thesis
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Students are given the opportunity to suggest an idea for project topics in consultation with faculty members.

    Self-study
    Prerequisites
  • VÉL120F
    Geothermal Wells
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The main topics of the course are: 

    • Geothermal wells, different types and drilling methods.
    • Well casings and mechanical design of geothermal wells.
    • Well cementing, work procedures and standards.
    • Wellheads and their design.  Load on wellheads and related security issues.
    • Well logging and measurements along wells. Methods for measuring temperature and pressure.
    • Well flow initiation and measurement of the mass flow of steam and water. Energy flow from geothermal wells and potential power production capacity.
    • Two phase flow of steam and water. Flow in wells and steam gathering pipes on the surface. Flow properties and determination of flow regimes. Pressure variations in two phase flow.
    Face-to-face learning
    Prerequisites
  • Not taught this semester
    VÉL502M
    Fish Processing Technology 1
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The role of the fish industry in the Icelandic economy. Fish as raw material, its composition, physical and chemical properties. Fish stocks, fishing gear, selectivity. Storage methods on board and after landing. Processing methods, production process and processing equipment for cooling, superchilling, freezing, salting, drying, canning and shell process. Energy and mass balance for each step in the process and the whole process. 

    Face-to-face learning
    Prerequisites
  • Not taught this semester
    IÐN101M
    Quality Management
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Organization and management systems. The systems approach. Quality management, quality concepts. Historical development of quality management. Quality cost. Quality in manufacturing. x, R, p, c and cusum-chart. Statistical quality control. Tests of hypotheses. Acceptance sampling - OC curves. Inspection planning. Quality systems and quality assurance. Quality handbook and organizing for quality. ISO 9001. Total Quality Management, improvement step by step, motivations theories. Quality tools. Practical assignment: Designing a quality system for a company.

    Face-to-face learning
    Prerequisites
  • Not taught this semester
    IÐN102M
    Computational Intelligence
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Basic aspects of computational intelligence, which is the study of algorithms that improve automatically through experience.

    Face-to-face learning
    The course is taught if the specified conditions are met
    Prerequisites
  • IÐN508M
    Operations Research 2
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    This course will introduce the student to decision and optimization models in operations research. On completing the course the student will be able to formulate, analyze, and solve mathematical models, which represent real-world problems, and critically interpret their results. The course will cover integer programming and modeling with stochastic programming. The student will become familiar with building mathematical models using Python.

    Face-to-face learning
    Prerequisites
  • RAF507M
    Medical Imaging Systems
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Introduction to the instrumentation, physics and signal processing methods used in medical imaging systems from a signal processing perspective. The modalities covered include projection radiography, X-ray computed tomography, nuclear medicine (i.e. SPECT and PET), ultrasound, and magnetic resonance imaging.  The primary focus is on the methods required to reconstruct images within each modality, the kind of signals being measured and how these data culminate in an image.  Attention will also be given to image quality in each modality, including resolution, contrast, signal-to-noise ratio, and distortion of images.

    Face-to-face learning
    Prerequisites
  • REI504M
    Cloud Computing and Big Data
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Overview of high performance computing (HPC) and “Big Data”, HPC environments with computing, network and storage resources, overview of parallel programming. Storage infrastructures and services for Big Data, Big Data analytics, the map-reduce paradigm, structured and unstructured data. Practical exercises: (A) Students will use the Amazon Web Services (AWS) cloud or equivalent to set up a multi-computer web service and an associated multi-computer testing application. (B) Students will get hands on experience of processing large data sets using map-reduce techniques with AWS.

    Face-to-face learning
    Prerequisites
  • REI505M
    Machine Learning
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    An overview of some of the main concepts, techniques and algorithms in machine learning. Supervised learning and unsupervised learning. Data preprocessing and data visualization. Model evaluation and model selection. Linear regression, nearest neighbors, support vector machines, decision trees and ensemble methods. Deep learning. Cluster analysis and the k-means algorithm. The students implement simple algorithms in Python and learn how to use specialized software packages. At the end of the course the students work on a practical machine learning project.

    Face-to-face learning
    Prerequisites
  • UMV501M
    Membrane Technology
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Objectives: This course is to provide an understanding of membrane technology applied in various industries, such as utilities (water and sewer), environmental industry, food industry, pharmaceutical industry, and chemical/biochemical industry. 

    Topics: (1) Membrane technology as a solution in industries (separation and purification of food, pharmaceutical,  and chemical products) and in environments (water and wastewater treatment; air pollution control; nutrients recovery and reuse); (2) Membrane materials, chemical-based synthesis methods, modifications; (3) Membrane physical, chemical, and mechanical properties and characterization; (4) Transport phenomena in membrane processes; (5) Membrane fouling and fouling mitigation; (6) Membrane operation unit (such as microfiltration, ultrafiltration, nanofiltration, reverse osmosis, forward osmosis, pressure retarded osmosis, membrane distillation, electrodialysis, gas separation) and their applications in industries; (7) Hybrid membrane processes and their applications in industries; (8) Membrane system design.

    Teaching: Lectures (teaching lecture, tutorial lecture, lab lecture) and a group project. Teaching lectures introduce the fundamentals and advances of membrane technology, the application of membrane technology in industry. Tutorial lectures are provided to discuss calculation questions and solutions with students. Lab lecture is performed in the research lab to demonstrate selected membrane processes and allow students hands-on practice. In the group project, students review literatures of a selected topic relating to advanced membrane technology, write a report, and give an oral presentation. 

    The course is also suitable for students specializing in other fields than Civil or Environmental Engineering, e.g., Chemical engineering, Industrial Engineering, Mechanical Engineering, Bioengineering, and Food science.

    Face-to-face learning
    Prerequisites
  • VÉL441L
    Final project
    Mandatory (required) course
    0
    A mandatory (required) course for the programme
    0 ECTS, credits
    Course Description
    • The topic of the Master's thesis must be chosen under the guidance of the supervisor and the Faculty Coordinator of the student. The thesis represents 30 or 60 credits. All Master's student have been assigned to a Faculty Coordinator from the beginning of their studies, who advises the student regarding the organization of the program. If a student does not have a supervisor for the final project, he / she must turn to the Faculty Coordinator for assistance.
    • The choice of topic is primarily the responsibility of the student in collaboration with his or her project supervisor. The topic of the project should fall within the student's area of study, i.e. course of study and chosen specialisation.
    • The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
    • Final project exam is divided into two parts: Oral examination and open lecture
    • Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
    • The student delivers a thesis and a project poster.
    • According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
    • All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
    • According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.

    Learning Outcomes:

    Upon completion of an MS thesis, the student should be able to:

    • Formulate engineering design project  / research questions
    • Use an appropriate theoretical framework to shed light on his / her topic
    • Analyze and solve engineering tasks in a specialized field.
    • Perform a literature search and a thorough review of the literature.
    • Demonstrate initiative and independent creative thinking.
    • Use economic methodology to answer a specific research question
    • Competently discuss the current knowledge within the field and contribute to it with own research
    • Work with results, analyze uncertainties and limitations and interpret results.
    • Assess the scope of a research project and plan the work accordingly
    • Effectively display results and provide logical reasoning and relate results to the state of knowledge.
    Self-study
    Prerequisites
    Part of the total project/thesis credits
  • VÉL049F
    Selected Topics in Mechanical Engineering
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

    Students contact the teacher and the chair of department regarding registration for the course.

    Self-study
    Prerequisites
  • Not taught this semester
    VÉL102M
    Energy Intensive Production Processes
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The aim of the course is:- To give students overview of processes in materials engineering;- To encourage students to think about feasible ways to utilize renewable energy. The course will cover the industrial processes in some of the larger Icelandic companies, including the production of ferro-alloys, aluminium smelting, rockwool production, recycling of steel, algea and diatomitemining, and production of sodium chlorine, fertilizers, cement. The course will also cover some of the larger material engineering processes that are not in practice in Iceland but may be a feasible option for Icelandic industry. Students will get good overview of the processes, required materials, source of power and power consumption, pollution, products etc. Discussions will be held on the financial background for individual processes, covering aspects such as production cost, profit and the influences of market share changes. Grades are based on 2 larger projects the students work on through the semester. Field trips are an important part of the course.

    Face-to-face learning
    Prerequisites
  • VÉL103M
    Computational Structural Mechanics
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The aim of this course is to give students an exposure to the theoretical basis of the finite element method and its implementation principles. Furthermore, to introduce the use of available finite element application software for solving real-life engineering problems.

    The course covers such topics as: stiffness matrices, elements stiffness matrix, system stiffness matrix, local and global stiffness, shape functions, isoparametric formulation and numerical integration. Various elements are studied, such as, trusses and beams, plane elements, 3D elements, plates and shells. Students mostly solve problems in solid mechanics (stress analysis) but can choose to work on a design project in other areas, such as vibrations or heat transfer.

    The course includes class lectures and work sessions where students solve problems, both in python (can also choose matlab) and in the commercial software Ansys, under the supervison of the instructor. There is extensive use of Python (Matlab) and Ansys in solving homework problems and semester projects.

    Face-to-face learning
    Prerequisites
  • VÉL101M
    Vibration Analysis
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Spectral and wavelet analysis. Linear and nonlinear systems. Envelope and cepstrum analysis Measurement, identification and response problems. Vibrations of continuous systems. Formulation of finite element model for analysis of dynamic problems. Fault diagnostic and machine condition monitoring.

    Face-to-face learning
    Prerequisites
  • VÉL113F
    Design Optimization
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Optimum design concepts. Fundamentals of linear and nonlinear programming, constrained and unconstrained optimum design problems. Simulated annealing and genetic algorithms. Project and applications to realistic engineering design problems.

    Face-to-face learning
    Prerequisites
  • VÉL501M
    Corrosion
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Basic thermodynamic and electrochemical principles that cause corrosion. Procedures of electrochemical measurements used to investigate corrosion behavior. Methods of corrosion protection and prevention, materials selection and design.

    The course is taught every other year on even numbered years.

    Face-to-face learning
    The course is taught if the specified conditions are met
    Prerequisites
  • EÐL520M
    Condensed Matter Physics 1
    Elective course
    8
    Free elective course within the programme
    8 ECTS, credits
    Course Description

    The course is an introduction to some basic concepts of condensed matter physics. Curriculum: Chemical bonds, crystal structure, crystal symmetry, the reciprocal lattice. Vibrational modes of crystals, phonons, specific heat, thermal conductivity. The free electron model, band structure of condensed matter, effective mass. Metals, insulators and semiconductors. The course includes three labs.

    Face-to-face learning
    Prerequisites
  • IÐN113F
    Time Series Analysis
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    ARMAX and other similar time series models. Non-stationary time series. Correlation and spectral analysis. Parameter estimation, parametric and non-parametric approaches, Least Squares and Maximum Likelihood. Model validation methods. Models with time dependent parameters. Numerical methods for minimization. Outlier detection and interpolation. Introduction to nonlinear time series models. Discrete state space models. Discrete state space models. Extensive use of MATLAB, especially the System Identification Toolbox.

    Distance learning
    Self-study
    Prerequisites
  • JEÐ503M
    Continuum Mechanics and Heat Transfer
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Objectives:   To introduce continuum mechanics, fluid dynamics and heat transfer and their application to problems in physics and geophysics. I. Stress and strain, stress fields, stress tensor, bending of plates, models of material behaviour: elastic, viscous, plastic materials. II. Fluids, viscous fluids, laminar and turbulent flow, equation of continuity, Navier-Stokes equation. III. Heat transfer: Heat conduction, convection, advection and geothermal resources. Examples and problems from various branches of physics will be studied, particularly from geophysics.

    Teaching statement: To do well in this course, students should actively participate in the discussions, attend lectures, give student presentations and deliver the problem sets assigned in the course. Students will gain knowledge through the lectures, but it is necessary to do the exercises to understand and train the use of the concepts. The exercises are intergrated in the text of the book, it is recommended to do them while reading the text. Instructors will strive to make the concepts and terminology accessible, but it is expected that students study independently and ask questions if something is unclear. In order to improve the course and its content, it is appreciated that students participate in the course evaluation, both the mid-term and the end of term course evaluation.

    Face-to-face learning
    Prerequisites
  • STÆ312M
    Applied Linear Statistical Models
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The course focuses on simple and multiple linear regression as well as analysis of variance (ANOVA), analysis of covariance (ANCOVA) and binomial regression. The course is a natural continuation of a typical introductory course in statistics taught in various departments of the university.

    We will discuss methods for estimating parameters in linear models, how to construct confidence intervals and test hypotheses for the parameters, which assumptions need to hold for applying the models and what to do when they are not met.

    Students will work on projects using the statistical software R.

     

    Face-to-face learning
    Prerequisites
  • VON001F
    Thesis skills: project management, writing skills and presentation
    Elective course
    4
    Free elective course within the programme
    4 ECTS, credits
    Course Description

    Introduction to the scientific method. Ethics of science and within the university community.
    The role of the student, advisors and external examiner. Effective and honest communications.
    Conducting a literature review, using bibliographic databases and reference handling. Thesis structure, formulating research questions, writing and argumentation. How scientific writing differs from general purpose writing. Writing a MS study plan and proposal. Practical skills for presenting tables and figures, layout, fonts and colors. Presentation skills. Project management for a thesis, how to divide a large project into smaller tasks, setting a work plan and following a timeline. Life after graduate school and being employable.

    Face-to-face learning
    Online learning
    Prerequisites
  • Spring 2
  • MAT803F
    Food Engineering 2
    Elective course
    8
    Free elective course within the programme
    8 ECTS, credits
    Course Description

    Course Description:

    Objective: That students can evaluate food processes and calculate the main variables in different unit operations, plan and control food processes. To make students more capable of making decisions about changes in manufacture and transport processes.

    In the lectures, the main food processes are reviewed:

    • The effect of holding time and temperature in manufacturing processes and water content and water activity on the quality and properties of foods
    • Processing/preservation methods such as chilling, superchilling, freezing and thawing, salting, smoking, heating and canning, drying, evaporation, separation and fermentation. Use of steam tables, enthalpy- and Mollier diagrams.  
    • Process flow diagrams/charts by process steps, material flow and balance calculations and risk analysis.
    • Processing and packaging equipment and packaging for different foods
    • Main parameters of production control.
    • Storage conditions (light, humidity, temperature, air composition, etc.) and key factors affecting changes in food during storage, transportation and sale/distribution of food.
    • Design considerations for food processing companies and the food value chain. Processing machines, storage methods, technologicalization, logistics and control of environmental factors, packaging, use of raw materials and energy, losses in the food value chain.

     

    Teaching material: textbooks, lectures by teachers and scientific articles.  

     

    The course will be taught in sessions, a total of 7 weeks from March to May. 

    Recommended preparation: Food Processing Operations/Food Engineering 1/Fish Processing Technology 1

    Face-to-face learning
    Prerequisites
    Course taught second half of the semester
  • Not taught this semester
    VÉL203M
    Engineering Design Processes
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Background for design and engineering design process. Conceptual design, need analysis, specifications, boundary conditions and evaluation criteria. Embodiment and detailed design. CAD system and development of computer graphics. Wire frame model, surface and solid models. Design for reliability, safety and environmental protection.

    Face-to-face learning
    Prerequisites
  • VÉL205M
    Mechatronics
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Mechanical systems and mechatronics system elements. Mechanism, motors, drives, motion converters, sensors and transducers. Signal processing and microprocessor.

    Face-to-face learning
    Prerequisites
  • VÉL206M
    Computer Aided Design
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    In this course students are introduced to the basic concepts and methods for parametric representation of curves such as the Bezier-, Hermite- and NURBS curves.  Students will learn about the methods for representing three-dimensional wireframe-, solid- and surface models.  The course will cover the use of parameters when developing and creating three-dimensional modeling, the creation of assembly drawings using mating operators and how different engineering software solutions can communicate. 

    The course provides a good fundamental overview of the available engineering software solutions – their advantages and limitations – and the students will learn about the current trends in their field, e.g. in the analysis, simulation, prototyping and manufacturing.  The current trends will be indroduced through guest lectures, company visits and a mini-seminar where the students write articles and present new and exciting research or new techniques (based on peer-review papers). 

    Concurrently with the lectures, students work on an unstructured engineering project where they will engineer and build a working prototype, write the results in a report and present the results.

    Face-to-face learning
    Prerequisites
  • VÉL213F
    Plastic, Metals and Fibre Composites
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The objective of the course is to teach the principles of design with plastic, metals and fibre composites. The course includes topics such as material properties of plastics and manufacturing methods, fiber composites, sandwiches and calculations of stress and strains in  structures made of composites materials.

    Face-to-face learning
    Prerequisites
  • VÉL217F
    Thesis
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Students are given the opportunity to suggest an idea for project topics in consultation with faculty members.

    Self-study
    The course is taught if the specified conditions are met
    Prerequisites
  • VÉL218F
    Direct Geothermal Utilization
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The main topics of the course are:

    • Energy usage in Iceland, a broad overview.
    • House heating and district heating systems:
    • Thermodynamics of house heating and energy flow in houses.  Heat loss and heat transfer from radiators.
    • Minimum requirements for indoor temperature levels, related to quality of living.
    • District heating connections to houses, obligatory equipment, heat exchangers.
    • Mathematical representation of district heating systems, steady and unsteady operation.
    • Base load for district heating suppliers, its determination based on weather data.
    • Swimming pools.
    • Greenhouses and heating of soil.
    • Snow melting and the use of heat in industry.
    • Fish farming.
    • Heat pumps.
    Face-to-face learning
    Prerequisites
  • Not taught this semester
    VÉL601M
    Fish Processing Technology 2
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The main goal of the course is to train students to use their knowledge from various fields in mechanical engineering to organize and design fish processing plants and companies. Design requirements and design of production processes for fresh fish, frozen fish, dried fish, fish meal and canning plants. Production management, productivity estimates, quality control, wage structure, etc. for such companies. Heat and mass balances, steady and time dependent heat transfer, utilization of Heisler- and Mollier charts.

    Exercises: Fish processing company or certain processes are analyzed and/or redesigned.

    Face-to-face learning
    Prerequisites
  • Not taught this semester
    EÐL624M
    Introduction to Nanotechnology
    Elective course
    8
    Free elective course within the programme
    8 ECTS, credits
    Course Description

    Nanostructures and Nanomaterials, Nanoparticles, Nanowires, Thin films, thin film growth, growth modes, transport properties.  Characterization of nanomaterials, Crystallography,Particle Size Determination, Surface Structure, Scanning Tunneling Microscope, Atomic Force Microscope, X-ray diffraction (XRD), X-ray reflectometry (XRR), Scanning Electron Microscpe (SEM), and Transmission Electron Microscopy (TEM). Scaling of transistors, MOSFET, and finFET. Carbon Nanoscructures, Graphene and Carbon nanotubes. Lithography. Nanostructred Ferromagnetism. Nano-optics,  Plasmonics, metamaterials, cloaking and invinsibility. Molecular Electronics.

    Face-to-face learning
    Prerequisites
  • Not taught this semester
    IÐN202M
    Innovation, Product Development, Marketing
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    An insight into the structure of innovation, product development and marketing and how to use this methodology as a tool of management in industrial companies. Theory and practical methods of innovation, product development and marketing. Training in project management and how to run integrated projects covering those three areas by solving realistic problems.

    Face-to-face learning
    Prerequisites
  • IÐN216F
    Field Course in Innovation and Entrepreneurship (II)
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The course is a continuation of the course "Field Course in Innovation and Entrepreneurship (I)". This part of the course consists of detailed development of the business model related to a particular business opportunity. This work takes place in groups, where cross-disciplinary collaboration, between individuals with a background in business and individuals with a background in a particular technical or professional field related to the relevant opportunity, is emphasized. Projects can originate in an independent business idea or in collaboration with companies that partner with the course. In both cases, the emphasis will be on product or service develepment, built on technical or professional expertise, where the business case of the opportunity and its verification is in the foreground.

    Face-to-face learning
    Prerequisites
    Course taught second half of the semester
  • IÐN222F
    Field Course in Innovation and Entrepreneurship (I)
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The course is taught in two parts, and the expectation is that students register for both parts. The course will cover the practical issues related to innovation and entrepreneurship. It covers the emergence of a business idea and the initial evaluation of the business opportunity, and the development and testing of a business model. This part of the course consists of lectures and case discussions that deal with various aspects of innovation and entrepreneurship: Analysis of business opportunities, evaluation of market size and unit contribution, the management of organizational units that are involved in innovation, financing, and other issues. Students will also tackle projects where they apply the methods taught in the class to isolated tasks in product and business development in both new and existing firms.

    Face-to-face learning
    Prerequisites
    Course taught first half of the semester
  • Not taught this semester
    LVF601M
    Introduction to Systems Biology
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Systems biology is an interdisciplinary field that studies the biological phenomena that emerge from multiple interacting biological elements. Understanding how biological systems change across time is a particular focus of systems biology. In this course, we will prioritize aspects of systems biology relevant to human health and disease.

    This course provides an introduction to 1) basic principles in modelling molecular networks, both gene regulatory and metabolic networks; 2) cellular phenomena that support homeostasis like tissue morphogenesis and microbiome resilience, and 3) analysis of molecular patterns found in genomics data at population scale relevant to human disease such as patient classification and biomarker discovery. In this manner, the course covers the three major scales in systems biology: molecules, cells and organisms.

    The course activities include reading and interpreting scientific papers, implementation of computational algorithms, working on a research project and presentation of scientific results.

    Lectures will comprise of both (1) presentations on foundational concepts and (2) hands-on sessions using Python as the programming language. The course will be taught in English.

    Face-to-face learning
    Prerequisites
  • RAF614M
    Robotics and Computer Vision
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Mathematical foundations of coordinate systems and transformations. Kinematics, direct and reverse solutions. Analysis and control of movements. Trajectories in three-dimensional space and interpolation between programmed trajectory points. Use of computer vision, sensors and end-effectors in robotics. Control and programming of robots. Excercises and simulations.

    Face-to-face learning
    Prerequisites
  • RAF615M
    Science and innovation in medical technology
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    This course provides an introduction to the diverse applications of electrical and computer engineering in medicine and medical technology.  Students will explore cutting-edge developments in the field through guest lecturers from industry professionals in Iceland who apply engineering methods to solve critical medical challenges. Key topics include signal and image processing in medicine and genetics, signal processing and sensors in relation to sleep and the central nervous system, prosthetics, artificial intelligence, and more. Finally, students will have the opportunity to design their own research projects focusing on applying engineering solutions to address medical challenges. Through this work, students will be introduced to writing research proposals and grant applications, with relevance to both industry and academic settings.

    Face-to-face learning
    Prerequisites
  • REI603M
    The AI lifecycle
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    In this course, we study the AI lifecycle, i.e. the productionisation of AI methods.
    We explore the following parts of the lifecycle:
    - Data collection and preparation
    - Feature engineering
    - Model training
    - Model evaluation
    - Model deployment
    - Model serving
    - Model monitoring
    - Model maintenance
    Three large projects will be handed out during the semester where students compete to solve AI problems.

    Face-to-face learning
    Prerequisites
  • VÉL441L
    Final project
    Mandatory (required) course
    0
    A mandatory (required) course for the programme
    0 ECTS, credits
    Course Description
    • The topic of the Master's thesis must be chosen under the guidance of the supervisor and the Faculty Coordinator of the student. The thesis represents 30 or 60 credits. All Master's student have been assigned to a Faculty Coordinator from the beginning of their studies, who advises the student regarding the organization of the program. If a student does not have a supervisor for the final project, he / she must turn to the Faculty Coordinator for assistance.
    • The choice of topic is primarily the responsibility of the student in collaboration with his or her project supervisor. The topic of the project should fall within the student's area of study, i.e. course of study and chosen specialisation.
    • The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
    • Final project exam is divided into two parts: Oral examination and open lecture
    • Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
    • The student delivers a thesis and a project poster.
    • According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
    • All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
    • According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.

    Learning Outcomes:

    Upon completion of an MS thesis, the student should be able to:

    • Formulate engineering design project  / research questions
    • Use an appropriate theoretical framework to shed light on his / her topic
    • Analyze and solve engineering tasks in a specialized field.
    • Perform a literature search and a thorough review of the literature.
    • Demonstrate initiative and independent creative thinking.
    • Use economic methodology to answer a specific research question
    • Competently discuss the current knowledge within the field and contribute to it with own research
    • Work with results, analyze uncertainties and limitations and interpret results.
    • Assess the scope of a research project and plan the work accordingly
    • Effectively display results and provide logical reasoning and relate results to the state of knowledge.
    Self-study
    Prerequisites
    Part of the total project/thesis credits
  • VÉL049F
    Selected Topics in Mechanical Engineering
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

    Students contact the teacher and the chair of department regarding registration for the course.

    Self-study
    Prerequisites
  • VÉL215F
    Computational Fluid Dynamics
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The main purpose is to develop methods of predicting numerical solutions in fluid mechanics and heat transfer. Especially of predicting boundary layer phenomena and modelling of turbulence transport properties. Both finite volume and finite difference methods are demonstrated. Solution of non-linear equations and stability criterium. Emphasis is laid on solution of practical problems.

    The course is taught every other year on odd numbered years.

    Face-to-face learning
    The course is taught if the specified conditions are met
    Prerequisites
  • REI204M
    High Performance Computing
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Design of parallel computers and parallel programming models. Shared memory architecture. Message passing and distributed memory architecture. Parallel programming of computer clusters using MPI and multicore programming using OpenMP. Parallel algorithms for sorting, searching, linear algebra, and various graph problems.

    Course topics will be very similar like HPC in Fall 2019:

    http://www.morrisriedel.de/hpc-course-fall-2019

    Positioning in the Field of High-Performance Computing (HPC)

    • Consists of techniques for programming & using large-scale HPC Systems
    • Approach: Get a broad understanding of what HPC is and what can be done
    • Goal: Train general HPC techniques and systems and selected details of domain-specific applications

    Course Motivation

    Parallel processing and distributed computing

    • Matured over the past three decades
    • Both emerged as a well-developed field in computer science
    • Still a lot of innovation, e.g. from hardware/software

    ‘Scientific computing‘ with Maple, Matlab, etc.

    • Performed on small (‘serial‘) computing machines like Desktop PCs or Laptops
    • An increasing number of cores enables ‘better scientific computing‘ today
    • Good for small & fewer complex applications, quickly reach memory limits

    ‘Advanced scientific computing‘

    • Used with computational simulations and large-scale machine & deep learning
    • Performed on large parallel computers; often scientific domain-specific approaches
    • Use orders of magnitude multi-core chips & large memory & specific many-core chips
    • Enables ‘simulations of reality‘ - often based on known physical laws and numerical methods

    Face-to-face learning
    Prerequisites
  • VÉL072M
    Selected Topics in Mechanical Engineering
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

    Students contact the teacher and the chair of department regarding registration for the course.

    Self-study
    Prerequisites
  • Year unspecified
  • MAT508M
    Fish Processing Technology 1
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The role of the fish industry in the Icelandic economy. Fish as raw material, its composition, physical and chemical properties. Fish stocks, fishing gear, selectivity. Storage methods on board and after landing. Processing methods, production process and processing equipment for cooling, superchilling, freezing, salting, drying, canning and shell process. Energy and mass balance for each step in the process and the whole process. 

    Face-to-face learning
    Prerequisites
Year unspecified
  • Fall
  • Fall
  • VÉL114F
    Geothermal Power Plants
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The main topics of the course are: 

    • Geothermal power plants worldwide and in Iceland.
    • Thermodynamics in flash power plants, power cycles.
    • Steam separators, condensers, incondensable gases, cooling.
    • Alternative power cycles, ORC and Kalina power plants.
    • Co-production of heat and power.
    • Mechanical design of pipe systems, especially for steam and steam gathering.
    • Scaling and corrosion.  Environmental effects related to geothermal utilization.
    • Economics and cost, both in building phase and operation.
    • Exergy and its relation to environmental conditions.
    • Energy and exergy analysis, Sankey og Grassmann charts.
    • Flow of energy cost, thermo-economics and estimation of net cost in improving parts of energy systems.
    • Production control and equipment for process regulation.
    Face-to-face learning
    Prerequisites
  • VÉL118F
    Thesis
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Students are given the opportunity to suggest an idea for project topics in consultation with faculty members.

    Self-study
    Prerequisites
  • VÉL120F
    Geothermal Wells
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The main topics of the course are: 

    • Geothermal wells, different types and drilling methods.
    • Well casings and mechanical design of geothermal wells.
    • Well cementing, work procedures and standards.
    • Wellheads and their design.  Load on wellheads and related security issues.
    • Well logging and measurements along wells. Methods for measuring temperature and pressure.
    • Well flow initiation and measurement of the mass flow of steam and water. Energy flow from geothermal wells and potential power production capacity.
    • Two phase flow of steam and water. Flow in wells and steam gathering pipes on the surface. Flow properties and determination of flow regimes. Pressure variations in two phase flow.
    Face-to-face learning
    Prerequisites
  • Not taught this semester
    VÉL502M
    Fish Processing Technology 1
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The role of the fish industry in the Icelandic economy. Fish as raw material, its composition, physical and chemical properties. Fish stocks, fishing gear, selectivity. Storage methods on board and after landing. Processing methods, production process and processing equipment for cooling, superchilling, freezing, salting, drying, canning and shell process. Energy and mass balance for each step in the process and the whole process. 

    Face-to-face learning
    Prerequisites
  • Not taught this semester
    IÐN101M
    Quality Management
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Organization and management systems. The systems approach. Quality management, quality concepts. Historical development of quality management. Quality cost. Quality in manufacturing. x, R, p, c and cusum-chart. Statistical quality control. Tests of hypotheses. Acceptance sampling - OC curves. Inspection planning. Quality systems and quality assurance. Quality handbook and organizing for quality. ISO 9001. Total Quality Management, improvement step by step, motivations theories. Quality tools. Practical assignment: Designing a quality system for a company.

    Face-to-face learning
    Prerequisites
  • Not taught this semester
    IÐN102M
    Computational Intelligence
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Basic aspects of computational intelligence, which is the study of algorithms that improve automatically through experience.

    Face-to-face learning
    The course is taught if the specified conditions are met
    Prerequisites
  • IÐN508M
    Operations Research 2
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    This course will introduce the student to decision and optimization models in operations research. On completing the course the student will be able to formulate, analyze, and solve mathematical models, which represent real-world problems, and critically interpret their results. The course will cover integer programming and modeling with stochastic programming. The student will become familiar with building mathematical models using Python.

    Face-to-face learning
    Prerequisites
  • RAF507M
    Medical Imaging Systems
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Introduction to the instrumentation, physics and signal processing methods used in medical imaging systems from a signal processing perspective. The modalities covered include projection radiography, X-ray computed tomography, nuclear medicine (i.e. SPECT and PET), ultrasound, and magnetic resonance imaging.  The primary focus is on the methods required to reconstruct images within each modality, the kind of signals being measured and how these data culminate in an image.  Attention will also be given to image quality in each modality, including resolution, contrast, signal-to-noise ratio, and distortion of images.

    Face-to-face learning
    Prerequisites
  • REI504M
    Cloud Computing and Big Data
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Overview of high performance computing (HPC) and “Big Data”, HPC environments with computing, network and storage resources, overview of parallel programming. Storage infrastructures and services for Big Data, Big Data analytics, the map-reduce paradigm, structured and unstructured data. Practical exercises: (A) Students will use the Amazon Web Services (AWS) cloud or equivalent to set up a multi-computer web service and an associated multi-computer testing application. (B) Students will get hands on experience of processing large data sets using map-reduce techniques with AWS.

    Face-to-face learning
    Prerequisites
  • REI505M
    Machine Learning
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    An overview of some of the main concepts, techniques and algorithms in machine learning. Supervised learning and unsupervised learning. Data preprocessing and data visualization. Model evaluation and model selection. Linear regression, nearest neighbors, support vector machines, decision trees and ensemble methods. Deep learning. Cluster analysis and the k-means algorithm. The students implement simple algorithms in Python and learn how to use specialized software packages. At the end of the course the students work on a practical machine learning project.

    Face-to-face learning
    Prerequisites
  • UMV501M
    Membrane Technology
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Objectives: This course is to provide an understanding of membrane technology applied in various industries, such as utilities (water and sewer), environmental industry, food industry, pharmaceutical industry, and chemical/biochemical industry. 

    Topics: (1) Membrane technology as a solution in industries (separation and purification of food, pharmaceutical,  and chemical products) and in environments (water and wastewater treatment; air pollution control; nutrients recovery and reuse); (2) Membrane materials, chemical-based synthesis methods, modifications; (3) Membrane physical, chemical, and mechanical properties and characterization; (4) Transport phenomena in membrane processes; (5) Membrane fouling and fouling mitigation; (6) Membrane operation unit (such as microfiltration, ultrafiltration, nanofiltration, reverse osmosis, forward osmosis, pressure retarded osmosis, membrane distillation, electrodialysis, gas separation) and their applications in industries; (7) Hybrid membrane processes and their applications in industries; (8) Membrane system design.

    Teaching: Lectures (teaching lecture, tutorial lecture, lab lecture) and a group project. Teaching lectures introduce the fundamentals and advances of membrane technology, the application of membrane technology in industry. Tutorial lectures are provided to discuss calculation questions and solutions with students. Lab lecture is performed in the research lab to demonstrate selected membrane processes and allow students hands-on practice. In the group project, students review literatures of a selected topic relating to advanced membrane technology, write a report, and give an oral presentation. 

    The course is also suitable for students specializing in other fields than Civil or Environmental Engineering, e.g., Chemical engineering, Industrial Engineering, Mechanical Engineering, Bioengineering, and Food science.

    Face-to-face learning
    Prerequisites
  • VÉL441L
    Final project
    Mandatory (required) course
    0
    A mandatory (required) course for the programme
    0 ECTS, credits
    Course Description
    • The topic of the Master's thesis must be chosen under the guidance of the supervisor and the Faculty Coordinator of the student. The thesis represents 30 or 60 credits. All Master's student have been assigned to a Faculty Coordinator from the beginning of their studies, who advises the student regarding the organization of the program. If a student does not have a supervisor for the final project, he / she must turn to the Faculty Coordinator for assistance.
    • The choice of topic is primarily the responsibility of the student in collaboration with his or her project supervisor. The topic of the project should fall within the student's area of study, i.e. course of study and chosen specialisation.
    • The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
    • Final project exam is divided into two parts: Oral examination and open lecture
    • Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
    • The student delivers a thesis and a project poster.
    • According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
    • All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
    • According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.

    Learning Outcomes:

    Upon completion of an MS thesis, the student should be able to:

    • Formulate engineering design project  / research questions
    • Use an appropriate theoretical framework to shed light on his / her topic
    • Analyze and solve engineering tasks in a specialized field.
    • Perform a literature search and a thorough review of the literature.
    • Demonstrate initiative and independent creative thinking.
    • Use economic methodology to answer a specific research question
    • Competently discuss the current knowledge within the field and contribute to it with own research
    • Work with results, analyze uncertainties and limitations and interpret results.
    • Assess the scope of a research project and plan the work accordingly
    • Effectively display results and provide logical reasoning and relate results to the state of knowledge.
    Self-study
    Prerequisites
    Part of the total project/thesis credits
  • VÉL049F
    Selected Topics in Mechanical Engineering
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

    Students contact the teacher and the chair of department regarding registration for the course.

    Self-study
    Prerequisites
  • Not taught this semester
    VÉL102M
    Energy Intensive Production Processes
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The aim of the course is:- To give students overview of processes in materials engineering;- To encourage students to think about feasible ways to utilize renewable energy. The course will cover the industrial processes in some of the larger Icelandic companies, including the production of ferro-alloys, aluminium smelting, rockwool production, recycling of steel, algea and diatomitemining, and production of sodium chlorine, fertilizers, cement. The course will also cover some of the larger material engineering processes that are not in practice in Iceland but may be a feasible option for Icelandic industry. Students will get good overview of the processes, required materials, source of power and power consumption, pollution, products etc. Discussions will be held on the financial background for individual processes, covering aspects such as production cost, profit and the influences of market share changes. Grades are based on 2 larger projects the students work on through the semester. Field trips are an important part of the course.

    Face-to-face learning
    Prerequisites
  • VÉL103M
    Computational Structural Mechanics
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The aim of this course is to give students an exposure to the theoretical basis of the finite element method and its implementation principles. Furthermore, to introduce the use of available finite element application software for solving real-life engineering problems.

    The course covers such topics as: stiffness matrices, elements stiffness matrix, system stiffness matrix, local and global stiffness, shape functions, isoparametric formulation and numerical integration. Various elements are studied, such as, trusses and beams, plane elements, 3D elements, plates and shells. Students mostly solve problems in solid mechanics (stress analysis) but can choose to work on a design project in other areas, such as vibrations or heat transfer.

    The course includes class lectures and work sessions where students solve problems, both in python (can also choose matlab) and in the commercial software Ansys, under the supervison of the instructor. There is extensive use of Python (Matlab) and Ansys in solving homework problems and semester projects.

    Face-to-face learning
    Prerequisites
  • VÉL101M
    Vibration Analysis
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Spectral and wavelet analysis. Linear and nonlinear systems. Envelope and cepstrum analysis Measurement, identification and response problems. Vibrations of continuous systems. Formulation of finite element model for analysis of dynamic problems. Fault diagnostic and machine condition monitoring.

    Face-to-face learning
    Prerequisites
  • VÉL113F
    Design Optimization
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Optimum design concepts. Fundamentals of linear and nonlinear programming, constrained and unconstrained optimum design problems. Simulated annealing and genetic algorithms. Project and applications to realistic engineering design problems.

    Face-to-face learning
    Prerequisites
  • VÉL501M
    Corrosion
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Basic thermodynamic and electrochemical principles that cause corrosion. Procedures of electrochemical measurements used to investigate corrosion behavior. Methods of corrosion protection and prevention, materials selection and design.

    The course is taught every other year on even numbered years.

    Face-to-face learning
    The course is taught if the specified conditions are met
    Prerequisites
  • EÐL520M
    Condensed Matter Physics 1
    Elective course
    8
    Free elective course within the programme
    8 ECTS, credits
    Course Description

    The course is an introduction to some basic concepts of condensed matter physics. Curriculum: Chemical bonds, crystal structure, crystal symmetry, the reciprocal lattice. Vibrational modes of crystals, phonons, specific heat, thermal conductivity. The free electron model, band structure of condensed matter, effective mass. Metals, insulators and semiconductors. The course includes three labs.

    Face-to-face learning
    Prerequisites
  • IÐN113F
    Time Series Analysis
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    ARMAX and other similar time series models. Non-stationary time series. Correlation and spectral analysis. Parameter estimation, parametric and non-parametric approaches, Least Squares and Maximum Likelihood. Model validation methods. Models with time dependent parameters. Numerical methods for minimization. Outlier detection and interpolation. Introduction to nonlinear time series models. Discrete state space models. Discrete state space models. Extensive use of MATLAB, especially the System Identification Toolbox.

    Distance learning
    Self-study
    Prerequisites
  • JEÐ503M
    Continuum Mechanics and Heat Transfer
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Objectives:   To introduce continuum mechanics, fluid dynamics and heat transfer and their application to problems in physics and geophysics. I. Stress and strain, stress fields, stress tensor, bending of plates, models of material behaviour: elastic, viscous, plastic materials. II. Fluids, viscous fluids, laminar and turbulent flow, equation of continuity, Navier-Stokes equation. III. Heat transfer: Heat conduction, convection, advection and geothermal resources. Examples and problems from various branches of physics will be studied, particularly from geophysics.

    Teaching statement: To do well in this course, students should actively participate in the discussions, attend lectures, give student presentations and deliver the problem sets assigned in the course. Students will gain knowledge through the lectures, but it is necessary to do the exercises to understand and train the use of the concepts. The exercises are intergrated in the text of the book, it is recommended to do them while reading the text. Instructors will strive to make the concepts and terminology accessible, but it is expected that students study independently and ask questions if something is unclear. In order to improve the course and its content, it is appreciated that students participate in the course evaluation, both the mid-term and the end of term course evaluation.

    Face-to-face learning
    Prerequisites
  • STÆ312M
    Applied Linear Statistical Models
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The course focuses on simple and multiple linear regression as well as analysis of variance (ANOVA), analysis of covariance (ANCOVA) and binomial regression. The course is a natural continuation of a typical introductory course in statistics taught in various departments of the university.

    We will discuss methods for estimating parameters in linear models, how to construct confidence intervals and test hypotheses for the parameters, which assumptions need to hold for applying the models and what to do when they are not met.

    Students will work on projects using the statistical software R.

     

    Face-to-face learning
    Prerequisites
  • VON001F
    Thesis skills: project management, writing skills and presentation
    Elective course
    4
    Free elective course within the programme
    4 ECTS, credits
    Course Description

    Introduction to the scientific method. Ethics of science and within the university community.
    The role of the student, advisors and external examiner. Effective and honest communications.
    Conducting a literature review, using bibliographic databases and reference handling. Thesis structure, formulating research questions, writing and argumentation. How scientific writing differs from general purpose writing. Writing a MS study plan and proposal. Practical skills for presenting tables and figures, layout, fonts and colors. Presentation skills. Project management for a thesis, how to divide a large project into smaller tasks, setting a work plan and following a timeline. Life after graduate school and being employable.

    Face-to-face learning
    Online learning
    Prerequisites
  • Spring 2
  • MAT803F
    Food Engineering 2
    Elective course
    8
    Free elective course within the programme
    8 ECTS, credits
    Course Description

    Course Description:

    Objective: That students can evaluate food processes and calculate the main variables in different unit operations, plan and control food processes. To make students more capable of making decisions about changes in manufacture and transport processes.

    In the lectures, the main food processes are reviewed:

    • The effect of holding time and temperature in manufacturing processes and water content and water activity on the quality and properties of foods
    • Processing/preservation methods such as chilling, superchilling, freezing and thawing, salting, smoking, heating and canning, drying, evaporation, separation and fermentation. Use of steam tables, enthalpy- and Mollier diagrams.  
    • Process flow diagrams/charts by process steps, material flow and balance calculations and risk analysis.
    • Processing and packaging equipment and packaging for different foods
    • Main parameters of production control.
    • Storage conditions (light, humidity, temperature, air composition, etc.) and key factors affecting changes in food during storage, transportation and sale/distribution of food.
    • Design considerations for food processing companies and the food value chain. Processing machines, storage methods, technologicalization, logistics and control of environmental factors, packaging, use of raw materials and energy, losses in the food value chain.

     

    Teaching material: textbooks, lectures by teachers and scientific articles.  

     

    The course will be taught in sessions, a total of 7 weeks from March to May. 

    Recommended preparation: Food Processing Operations/Food Engineering 1/Fish Processing Technology 1

    Face-to-face learning
    Prerequisites
    Course taught second half of the semester
  • Not taught this semester
    VÉL203M
    Engineering Design Processes
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Background for design and engineering design process. Conceptual design, need analysis, specifications, boundary conditions and evaluation criteria. Embodiment and detailed design. CAD system and development of computer graphics. Wire frame model, surface and solid models. Design for reliability, safety and environmental protection.

    Face-to-face learning
    Prerequisites
  • VÉL205M
    Mechatronics
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Mechanical systems and mechatronics system elements. Mechanism, motors, drives, motion converters, sensors and transducers. Signal processing and microprocessor.

    Face-to-face learning
    Prerequisites
  • VÉL206M
    Computer Aided Design
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    In this course students are introduced to the basic concepts and methods for parametric representation of curves such as the Bezier-, Hermite- and NURBS curves.  Students will learn about the methods for representing three-dimensional wireframe-, solid- and surface models.  The course will cover the use of parameters when developing and creating three-dimensional modeling, the creation of assembly drawings using mating operators and how different engineering software solutions can communicate. 

    The course provides a good fundamental overview of the available engineering software solutions – their advantages and limitations – and the students will learn about the current trends in their field, e.g. in the analysis, simulation, prototyping and manufacturing.  The current trends will be indroduced through guest lectures, company visits and a mini-seminar where the students write articles and present new and exciting research or new techniques (based on peer-review papers). 

    Concurrently with the lectures, students work on an unstructured engineering project where they will engineer and build a working prototype, write the results in a report and present the results.

    Face-to-face learning
    Prerequisites
  • VÉL213F
    Plastic, Metals and Fibre Composites
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The objective of the course is to teach the principles of design with plastic, metals and fibre composites. The course includes topics such as material properties of plastics and manufacturing methods, fiber composites, sandwiches and calculations of stress and strains in  structures made of composites materials.

    Face-to-face learning
    Prerequisites
  • VÉL217F
    Thesis
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Students are given the opportunity to suggest an idea for project topics in consultation with faculty members.

    Self-study
    The course is taught if the specified conditions are met
    Prerequisites
  • VÉL218F
    Direct Geothermal Utilization
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The main topics of the course are:

    • Energy usage in Iceland, a broad overview.
    • House heating and district heating systems:
    • Thermodynamics of house heating and energy flow in houses.  Heat loss and heat transfer from radiators.
    • Minimum requirements for indoor temperature levels, related to quality of living.
    • District heating connections to houses, obligatory equipment, heat exchangers.
    • Mathematical representation of district heating systems, steady and unsteady operation.
    • Base load for district heating suppliers, its determination based on weather data.
    • Swimming pools.
    • Greenhouses and heating of soil.
    • Snow melting and the use of heat in industry.
    • Fish farming.
    • Heat pumps.
    Face-to-face learning
    Prerequisites
  • Not taught this semester
    VÉL601M
    Fish Processing Technology 2
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The main goal of the course is to train students to use their knowledge from various fields in mechanical engineering to organize and design fish processing plants and companies. Design requirements and design of production processes for fresh fish, frozen fish, dried fish, fish meal and canning plants. Production management, productivity estimates, quality control, wage structure, etc. for such companies. Heat and mass balances, steady and time dependent heat transfer, utilization of Heisler- and Mollier charts.

    Exercises: Fish processing company or certain processes are analyzed and/or redesigned.

    Face-to-face learning
    Prerequisites
  • Not taught this semester
    EÐL624M
    Introduction to Nanotechnology
    Elective course
    8
    Free elective course within the programme
    8 ECTS, credits
    Course Description

    Nanostructures and Nanomaterials, Nanoparticles, Nanowires, Thin films, thin film growth, growth modes, transport properties.  Characterization of nanomaterials, Crystallography,Particle Size Determination, Surface Structure, Scanning Tunneling Microscope, Atomic Force Microscope, X-ray diffraction (XRD), X-ray reflectometry (XRR), Scanning Electron Microscpe (SEM), and Transmission Electron Microscopy (TEM). Scaling of transistors, MOSFET, and finFET. Carbon Nanoscructures, Graphene and Carbon nanotubes. Lithography. Nanostructred Ferromagnetism. Nano-optics,  Plasmonics, metamaterials, cloaking and invinsibility. Molecular Electronics.

    Face-to-face learning
    Prerequisites
  • Not taught this semester
    IÐN202M
    Innovation, Product Development, Marketing
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    An insight into the structure of innovation, product development and marketing and how to use this methodology as a tool of management in industrial companies. Theory and practical methods of innovation, product development and marketing. Training in project management and how to run integrated projects covering those three areas by solving realistic problems.

    Face-to-face learning
    Prerequisites
  • IÐN216F
    Field Course in Innovation and Entrepreneurship (II)
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The course is a continuation of the course "Field Course in Innovation and Entrepreneurship (I)". This part of the course consists of detailed development of the business model related to a particular business opportunity. This work takes place in groups, where cross-disciplinary collaboration, between individuals with a background in business and individuals with a background in a particular technical or professional field related to the relevant opportunity, is emphasized. Projects can originate in an independent business idea or in collaboration with companies that partner with the course. In both cases, the emphasis will be on product or service develepment, built on technical or professional expertise, where the business case of the opportunity and its verification is in the foreground.

    Face-to-face learning
    Prerequisites
    Course taught second half of the semester
  • IÐN222F
    Field Course in Innovation and Entrepreneurship (I)
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The course is taught in two parts, and the expectation is that students register for both parts. The course will cover the practical issues related to innovation and entrepreneurship. It covers the emergence of a business idea and the initial evaluation of the business opportunity, and the development and testing of a business model. This part of the course consists of lectures and case discussions that deal with various aspects of innovation and entrepreneurship: Analysis of business opportunities, evaluation of market size and unit contribution, the management of organizational units that are involved in innovation, financing, and other issues. Students will also tackle projects where they apply the methods taught in the class to isolated tasks in product and business development in both new and existing firms.

    Face-to-face learning
    Prerequisites
    Course taught first half of the semester
  • Not taught this semester
    LVF601M
    Introduction to Systems Biology
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Systems biology is an interdisciplinary field that studies the biological phenomena that emerge from multiple interacting biological elements. Understanding how biological systems change across time is a particular focus of systems biology. In this course, we will prioritize aspects of systems biology relevant to human health and disease.

    This course provides an introduction to 1) basic principles in modelling molecular networks, both gene regulatory and metabolic networks; 2) cellular phenomena that support homeostasis like tissue morphogenesis and microbiome resilience, and 3) analysis of molecular patterns found in genomics data at population scale relevant to human disease such as patient classification and biomarker discovery. In this manner, the course covers the three major scales in systems biology: molecules, cells and organisms.

    The course activities include reading and interpreting scientific papers, implementation of computational algorithms, working on a research project and presentation of scientific results.

    Lectures will comprise of both (1) presentations on foundational concepts and (2) hands-on sessions using Python as the programming language. The course will be taught in English.

    Face-to-face learning
    Prerequisites
  • RAF614M
    Robotics and Computer Vision
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Mathematical foundations of coordinate systems and transformations. Kinematics, direct and reverse solutions. Analysis and control of movements. Trajectories in three-dimensional space and interpolation between programmed trajectory points. Use of computer vision, sensors and end-effectors in robotics. Control and programming of robots. Excercises and simulations.

    Face-to-face learning
    Prerequisites
  • RAF615M
    Science and innovation in medical technology
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    This course provides an introduction to the diverse applications of electrical and computer engineering in medicine and medical technology.  Students will explore cutting-edge developments in the field through guest lecturers from industry professionals in Iceland who apply engineering methods to solve critical medical challenges. Key topics include signal and image processing in medicine and genetics, signal processing and sensors in relation to sleep and the central nervous system, prosthetics, artificial intelligence, and more. Finally, students will have the opportunity to design their own research projects focusing on applying engineering solutions to address medical challenges. Through this work, students will be introduced to writing research proposals and grant applications, with relevance to both industry and academic settings.

    Face-to-face learning
    Prerequisites
  • REI603M
    The AI lifecycle
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    In this course, we study the AI lifecycle, i.e. the productionisation of AI methods.
    We explore the following parts of the lifecycle:
    - Data collection and preparation
    - Feature engineering
    - Model training
    - Model evaluation
    - Model deployment
    - Model serving
    - Model monitoring
    - Model maintenance
    Three large projects will be handed out during the semester where students compete to solve AI problems.

    Face-to-face learning
    Prerequisites
  • VÉL441L
    Final project
    Mandatory (required) course
    0
    A mandatory (required) course for the programme
    0 ECTS, credits
    Course Description
    • The topic of the Master's thesis must be chosen under the guidance of the supervisor and the Faculty Coordinator of the student. The thesis represents 30 or 60 credits. All Master's student have been assigned to a Faculty Coordinator from the beginning of their studies, who advises the student regarding the organization of the program. If a student does not have a supervisor for the final project, he / she must turn to the Faculty Coordinator for assistance.
    • The choice of topic is primarily the responsibility of the student in collaboration with his or her project supervisor. The topic of the project should fall within the student's area of study, i.e. course of study and chosen specialisation.
    • The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
    • Final project exam is divided into two parts: Oral examination and open lecture
    • Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
    • The student delivers a thesis and a project poster.
    • According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
    • All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
    • According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.

    Learning Outcomes:

    Upon completion of an MS thesis, the student should be able to:

    • Formulate engineering design project  / research questions
    • Use an appropriate theoretical framework to shed light on his / her topic
    • Analyze and solve engineering tasks in a specialized field.
    • Perform a literature search and a thorough review of the literature.
    • Demonstrate initiative and independent creative thinking.
    • Use economic methodology to answer a specific research question
    • Competently discuss the current knowledge within the field and contribute to it with own research
    • Work with results, analyze uncertainties and limitations and interpret results.
    • Assess the scope of a research project and plan the work accordingly
    • Effectively display results and provide logical reasoning and relate results to the state of knowledge.
    Self-study
    Prerequisites
    Part of the total project/thesis credits
  • VÉL049F
    Selected Topics in Mechanical Engineering
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

    Students contact the teacher and the chair of department regarding registration for the course.

    Self-study
    Prerequisites
  • VÉL215F
    Computational Fluid Dynamics
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The main purpose is to develop methods of predicting numerical solutions in fluid mechanics and heat transfer. Especially of predicting boundary layer phenomena and modelling of turbulence transport properties. Both finite volume and finite difference methods are demonstrated. Solution of non-linear equations and stability criterium. Emphasis is laid on solution of practical problems.

    The course is taught every other year on odd numbered years.

    Face-to-face learning
    The course is taught if the specified conditions are met
    Prerequisites
  • REI204M
    High Performance Computing
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Design of parallel computers and parallel programming models. Shared memory architecture. Message passing and distributed memory architecture. Parallel programming of computer clusters using MPI and multicore programming using OpenMP. Parallel algorithms for sorting, searching, linear algebra, and various graph problems.

    Course topics will be very similar like HPC in Fall 2019:

    http://www.morrisriedel.de/hpc-course-fall-2019

    Positioning in the Field of High-Performance Computing (HPC)

    • Consists of techniques for programming & using large-scale HPC Systems
    • Approach: Get a broad understanding of what HPC is and what can be done
    • Goal: Train general HPC techniques and systems and selected details of domain-specific applications

    Course Motivation

    Parallel processing and distributed computing

    • Matured over the past three decades
    • Both emerged as a well-developed field in computer science
    • Still a lot of innovation, e.g. from hardware/software

    ‘Scientific computing‘ with Maple, Matlab, etc.

    • Performed on small (‘serial‘) computing machines like Desktop PCs or Laptops
    • An increasing number of cores enables ‘better scientific computing‘ today
    • Good for small & fewer complex applications, quickly reach memory limits

    ‘Advanced scientific computing‘

    • Used with computational simulations and large-scale machine & deep learning
    • Performed on large parallel computers; often scientific domain-specific approaches
    • Use orders of magnitude multi-core chips & large memory & specific many-core chips
    • Enables ‘simulations of reality‘ - often based on known physical laws and numerical methods

    Face-to-face learning
    Prerequisites
  • VÉL072M
    Selected Topics in Mechanical Engineering
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

    Students contact the teacher and the chair of department regarding registration for the course.

    Self-study
    Prerequisites
  • Year unspecified
  • MAT508M
    Fish Processing Technology 1
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The role of the fish industry in the Icelandic economy. Fish as raw material, its composition, physical and chemical properties. Fish stocks, fishing gear, selectivity. Storage methods on board and after landing. Processing methods, production process and processing equipment for cooling, superchilling, freezing, salting, drying, canning and shell process. Energy and mass balance for each step in the process and the whole process. 

    Face-to-face learning
    Prerequisites
First year
  • Fall
  • UAU111F
    Renewable energy: introduction hide
    Mandatory (required) course
    6
    A mandatory (required) course for the programme
    6 ECTS, credits
    Course Description

    Sustainable energy development requires a transition to low-carbon and environmentally benign energy resources.  This introductory course will;  i) provide an overview of the history energy use in the world and status of energy use today.  It in addition will provide an overview of various alternative energy futures derived from IEA scenarios, with focus on low-carbon energy resources and sustainability ii) provide an overview of conventional and alternative energy resources, such as hydropower, geothermal power, wave- , solar- and wind-power in addition to biomass with focus on physical and engineering perspectives, iii) given an introduction to electricity production iv) provide an overview over the environmental impact of energy use and v) provide an introduction to energy policy in the context of sustainable energy futures and other pressing issues such as climate change. 

    The structure of the course consists of lectures and field trips.

    The course is only open for students registered in the specialization renewable energy.

    Face-to-face learning
    Prerequisites
  • VÉL114F
    Geothermal Power Plants hide
    Mandatory (required) course
    7,5
    A mandatory (required) course for the programme
    7,5 ECTS, credits
    Course Description

    The main topics of the course are: 

    • Geothermal power plants worldwide and in Iceland.
    • Thermodynamics in flash power plants, power cycles.
    • Steam separators, condensers, incondensable gases, cooling.
    • Alternative power cycles, ORC and Kalina power plants.
    • Co-production of heat and power.
    • Mechanical design of pipe systems, especially for steam and steam gathering.
    • Scaling and corrosion.  Environmental effects related to geothermal utilization.
    • Economics and cost, both in building phase and operation.
    • Exergy and its relation to environmental conditions.
    • Energy and exergy analysis, Sankey og Grassmann charts.
    • Flow of energy cost, thermo-economics and estimation of net cost in improving parts of energy systems.
    • Production control and equipment for process regulation.
    Face-to-face learning
    Prerequisites
  • VÉL120F
    Geothermal Wells hide
    Mandatory (required) course
    7,5
    A mandatory (required) course for the programme
    7,5 ECTS, credits
    Course Description

    The main topics of the course are: 

    • Geothermal wells, different types and drilling methods.
    • Well casings and mechanical design of geothermal wells.
    • Well cementing, work procedures and standards.
    • Wellheads and their design.  Load on wellheads and related security issues.
    • Well logging and measurements along wells. Methods for measuring temperature and pressure.
    • Well flow initiation and measurement of the mass flow of steam and water. Energy flow from geothermal wells and potential power production capacity.
    • Two phase flow of steam and water. Flow in wells and steam gathering pipes on the surface. Flow properties and determination of flow regimes. Pressure variations in two phase flow.
    Face-to-face learning
    Prerequisites
  • Spring 2
  • VÉL218F
    Direct Geothermal Utilization hide
    Mandatory (required) course
    7,5
    A mandatory (required) course for the programme
    7,5 ECTS, credits
    Course Description

    The main topics of the course are:

    • Energy usage in Iceland, a broad overview.
    • House heating and district heating systems:
    • Thermodynamics of house heating and energy flow in houses.  Heat loss and heat transfer from radiators.
    • Minimum requirements for indoor temperature levels, related to quality of living.
    • District heating connections to houses, obligatory equipment, heat exchangers.
    • Mathematical representation of district heating systems, steady and unsteady operation.
    • Base load for district heating suppliers, its determination based on weather data.
    • Swimming pools.
    • Greenhouses and heating of soil.
    • Snow melting and the use of heat in industry.
    • Fish farming.
    • Heat pumps.
    Face-to-face learning
    Prerequisites
  • VÉL240F
    Interdisciplinary Group Project Within Renewable Energy hide
    Mandatory (required) course
    4
    A mandatory (required) course for the programme
    4 ECTS, credits
    Course Description

    The course is split into two sessions:

    Part 1: April 8th – 10th
    Introduction, groups formed, and project planning.

    Part 2: May 11th – 19th
    Data gathering, group work, report and presentation.

    This is an independent project course for students within the Renewable Energy Graduate Program. The project is based on interdisciplinary collaboration involving the following topics and related faculties:

    Geothermal Engineering (Mechanical Engineering)
    Hydroelectric Engineering (Environmental and Civil Engineering)
    Electrical Power Engineering (Electrical and Computer Engineering)
    Geothermal Resources (Earth Sciences)
    Energy Economics, Policy and Sustainability (Environment and Natural Resources

    In the project, realistic scenarios are considered that involve the students in evaluating the use of a resource for energy production or direct utilization. Main points of emphasis are:

    Resource estimation and sustainability assessment.
    Assessment of the possible utilization processes and engineering design of the chosen energy process.
    Business plan for the project including capital cost estimates and sensitivity analysis of cost data.
    Environmental assessment and permits for utilization and construction.
    Social and environmental impacts of the project.
    Project management of interdisciplinary projects.

    Face-to-face learning
    Prerequisites
  • Fall
  • JAR508M
    Geothermal energy hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Heat budget of the Earth, heat transport to the Earth´s surface. Geothermal systems and their structure, renewability of geothermal systems, methodology in geothermal development, estimation of resource size, fluid origin and chemistry, water-rock interaction, environmental impact of utilization, well testing and well data integration.  The coruse is taught during 7 week period first part of the fall semester.  It consists of lectures, practical, student lectures, student posters, essay and exams.  The course is taught in English.

    Face-to-face learning
    Prerequisites
    Attendance required in class
    Course taught first half of the semester
  • Not taught this semester
    JAR513M
    Energy and resources of the Earth hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    sustainable development.  To approach sustainability we need a holistic vision which takes into account three major foundations: environment, economy and society.  The course will give an overview of Earth´s energy resources, generation and use of fossil fuels, non-renewable and renewable energy sources - including the non-renewable resources of coal, oil, gas, uranium and thorium. The course will cover resources that need to be carefully exploited such as geothermal, hydro- and bio-energy. Other topics of the course include renewable energy based on the sun, wind, tides and waves. The course will also outline the most important natural resources that are used for technology, infrastructue of society and in agriculture, including metals, fertilizers, soil and water. The course will cover how resources are formed, are used, how long they will last and what effect the use has on the environment, the economy and society.  Understanding the socio-economic system that drives natural resource consumption patterns is key to assessing the sustainability of resource management. Thus, recycling of non-renewable resources is also discussed in addition to recent prosperity thinking based on the circular economy and wellbeing economy.

    Face-to-face learning
    Prerequisites
    Attendance required in class
  • JEÐ116F
    Geothermal Reservoir Physics/Engineering hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    A 7-week intensive course (later 7 weeks of autumn term). Taught if sufficient number of students. May be taugth as a reading course.

    The course gives basic insight into geothermal reservoir engineering, on how to monitor, conceptualize, model and manage geothermal reservoirs. Contents:  Heat conduction and convection, well logging, heat and fluid transfer in geothermal reservoirs, well test analysis, resource assessment, lumped parameter modelling, two phase flow, numerical models, reservoir management, reinjection, production strategies and sustainability.

    Course layout: Lectures, practical sessions, exercises/projects, student lecture on a selected topic and a one-day well logging field exercise.

    Face-to-face learning
    The course is taught if the specified conditions are met
    Prerequisites
    Course taught second half of the semester
  • JEÐ502M
    Groundwater Hydrology hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    A 7-week intensive course (first 7 weeks of fall term). 

    Taught if sufficient number of students. May be taugth as a reading course.

    Occurrence of groundwater, the water content of soil, properties and types of aquifers (porosity, retention, yield, storage coefficients; unconfined, confined, leaky, homogeneous, isotropic aquifers). Principles of groundwater flow. Darcy's law, groundwater potential, potentiometric surface, hydraulic conductivity, transmissivity, permeability, determination of hydraulic conductivity in homogeneous and anisotropic aquifers, permeability, flow lines and flow nets, refraction of flow lines, steady and unsteady flow in confined, unconfined and leaky aquifers, general flow equations. Groundwater flow to wells, drawdown and recovery caused by pumping wells, determination of aquifer parameters from time-drawdown data, well loss, capacity and efficiency. Sea-water intrusion in coastal aquifers. Mass transport of solutes by groundwater flow. Quality and pollution of groundwater. Case histories from groundwater studies in Iceland. Numerical models of groundwater flow.   Students carry out an interdisciplinary project on groundwater hydrology and management.

    Face-to-face learning
    The course is taught if the specified conditions are met
    Prerequisites
    Course taught first half of the semester
  • UAU101F
    Sustainable Development, Environmental Policy and Resource Management hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Various incentives, policies and management initiatives are used to influence human behavior, to limit the ecological footprint (EF), and to promote sustainable development. This course focuses on environmental and resource management and policy - in the context of sustainable development (SD). The course is broken to three sessions. In the first session we assess the concept SD from various perspectives - followed by an attempt to operationalize the concept. We compare the concepts growth and SD and ask if the two are compatible and discuss sustainability indicators. In the second session we critically examine various tools that are frequently used in environmental and resource decision-making, such as formal decision analysis, cost-benefit and cost-effectiveness analysis in addition to valuing ecosystem services. In the third session we examine the ideological foundations behind environmental and resource policy, and assess various policy and management initiatives for diverse situations in a comparative international context. Examples are much based on student interests but possible examples include bottle-deposit systems, ITQ's, voluntary approaches and multi-criteria management.

    Face-to-face learning
    Prerequisites
  • UAU108F
    Corporate Environmental Management hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    This course seeks to explore the responsibility of companies towards the environment. Active participation of students is required by analysing issues related to companies, the natural environment and various stakeholders, but that is for instance done through a simulation and case studies.

    The aim of the course is to create an understanding of and teach students to choose and employ the necessary tools to assess goals and make decisions when it comes to environmental and resource management in the context of sustainable development. Among the tools used are the Sustainable Development Goals, the Paris Agreement, the UN Global Compact, the Global Reporting Initiative and more.

    The course is divided into three parts. In part one, we will explore the origins and meaning of corporate liability. The second part focuses on how to manage and implement corporate responsibility. In the third part, we will learn about corporate responsibility from the perspective of impact, criticism, and future prospects.

    At a minimum, the successful completion of this course assumes that students have acquired a theoretical understanding of the subject, are able to apply the methods that have been taught and are literate in case of information related to companies and their environmental issues, outcomes, and impacts.

    Face-to-face learning
    Prerequisites
  • VÉL441L
    Final project hide
    Mandatory (required) course
    0
    A mandatory (required) course for the programme
    0 ECTS, credits
    Course Description
    • The topic of the Master's thesis must be chosen under the guidance of the supervisor and the Faculty Coordinator of the student. The thesis represents 30 or 60 credits. All Master's student have been assigned to a Faculty Coordinator from the beginning of their studies, who advises the student regarding the organization of the program. If a student does not have a supervisor for the final project, he / she must turn to the Faculty Coordinator for assistance.
    • The choice of topic is primarily the responsibility of the student in collaboration with his or her project supervisor. The topic of the project should fall within the student's area of study, i.e. course of study and chosen specialisation.
    • The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
    • Final project exam is divided into two parts: Oral examination and open lecture
    • Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
    • The student delivers a thesis and a project poster.
    • According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
    • All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
    • According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.

    Learning Outcomes:

    Upon completion of an MS thesis, the student should be able to:

    • Formulate engineering design project  / research questions
    • Use an appropriate theoretical framework to shed light on his / her topic
    • Analyze and solve engineering tasks in a specialized field.
    • Perform a literature search and a thorough review of the literature.
    • Demonstrate initiative and independent creative thinking.
    • Use economic methodology to answer a specific research question
    • Competently discuss the current knowledge within the field and contribute to it with own research
    • Work with results, analyze uncertainties and limitations and interpret results.
    • Assess the scope of a research project and plan the work accordingly
    • Effectively display results and provide logical reasoning and relate results to the state of knowledge.
    Self-study
    Prerequisites
    Part of the total project/thesis credits
  • VÉL049F
    Selected Topics in Mechanical Engineering hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

    Students contact the teacher and the chair of department regarding registration for the course.

    Self-study
    Prerequisites
  • Not taught this semester
    VÉL102M
    Energy Intensive Production Processes hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The aim of the course is:- To give students overview of processes in materials engineering;- To encourage students to think about feasible ways to utilize renewable energy. The course will cover the industrial processes in some of the larger Icelandic companies, including the production of ferro-alloys, aluminium smelting, rockwool production, recycling of steel, algea and diatomitemining, and production of sodium chlorine, fertilizers, cement. The course will also cover some of the larger material engineering processes that are not in practice in Iceland but may be a feasible option for Icelandic industry. Students will get good overview of the processes, required materials, source of power and power consumption, pollution, products etc. Discussions will be held on the financial background for individual processes, covering aspects such as production cost, profit and the influences of market share changes. Grades are based on 2 larger projects the students work on through the semester. Field trips are an important part of the course.

    Face-to-face learning
    Prerequisites
  • VÉL103M
    Computational Structural Mechanics hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The aim of this course is to give students an exposure to the theoretical basis of the finite element method and its implementation principles. Furthermore, to introduce the use of available finite element application software for solving real-life engineering problems.

    The course covers such topics as: stiffness matrices, elements stiffness matrix, system stiffness matrix, local and global stiffness, shape functions, isoparametric formulation and numerical integration. Various elements are studied, such as, trusses and beams, plane elements, 3D elements, plates and shells. Students mostly solve problems in solid mechanics (stress analysis) but can choose to work on a design project in other areas, such as vibrations or heat transfer.

    The course includes class lectures and work sessions where students solve problems, both in python (can also choose matlab) and in the commercial software Ansys, under the supervison of the instructor. There is extensive use of Python (Matlab) and Ansys in solving homework problems and semester projects.

    Face-to-face learning
    Prerequisites
  • VÉL101M
    Vibration Analysis hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Spectral and wavelet analysis. Linear and nonlinear systems. Envelope and cepstrum analysis Measurement, identification and response problems. Vibrations of continuous systems. Formulation of finite element model for analysis of dynamic problems. Fault diagnostic and machine condition monitoring.

    Face-to-face learning
    Prerequisites
  • VÉL113F
    Design Optimization hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Optimum design concepts. Fundamentals of linear and nonlinear programming, constrained and unconstrained optimum design problems. Simulated annealing and genetic algorithms. Project and applications to realistic engineering design problems.

    Face-to-face learning
    Prerequisites
  • VÉL501M
    Corrosion hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Basic thermodynamic and electrochemical principles that cause corrosion. Procedures of electrochemical measurements used to investigate corrosion behavior. Methods of corrosion protection and prevention, materials selection and design.

    The course is taught every other year on even numbered years.

    Face-to-face learning
    The course is taught if the specified conditions are met
    Prerequisites
  • EÐL520M
    Condensed Matter Physics 1 hide
    Elective course
    8
    Free elective course within the programme
    8 ECTS, credits
    Course Description

    The course is an introduction to some basic concepts of condensed matter physics. Curriculum: Chemical bonds, crystal structure, crystal symmetry, the reciprocal lattice. Vibrational modes of crystals, phonons, specific heat, thermal conductivity. The free electron model, band structure of condensed matter, effective mass. Metals, insulators and semiconductors. The course includes three labs.

    Face-to-face learning
    Prerequisites
  • IÐN113F
    Time Series Analysis hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    ARMAX and other similar time series models. Non-stationary time series. Correlation and spectral analysis. Parameter estimation, parametric and non-parametric approaches, Least Squares and Maximum Likelihood. Model validation methods. Models with time dependent parameters. Numerical methods for minimization. Outlier detection and interpolation. Introduction to nonlinear time series models. Discrete state space models. Discrete state space models. Extensive use of MATLAB, especially the System Identification Toolbox.

    Distance learning
    Self-study
    Prerequisites
  • JEÐ503M
    Continuum Mechanics and Heat Transfer hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Objectives:   To introduce continuum mechanics, fluid dynamics and heat transfer and their application to problems in physics and geophysics. I. Stress and strain, stress fields, stress tensor, bending of plates, models of material behaviour: elastic, viscous, plastic materials. II. Fluids, viscous fluids, laminar and turbulent flow, equation of continuity, Navier-Stokes equation. III. Heat transfer: Heat conduction, convection, advection and geothermal resources. Examples and problems from various branches of physics will be studied, particularly from geophysics.

    Teaching statement: To do well in this course, students should actively participate in the discussions, attend lectures, give student presentations and deliver the problem sets assigned in the course. Students will gain knowledge through the lectures, but it is necessary to do the exercises to understand and train the use of the concepts. The exercises are intergrated in the text of the book, it is recommended to do them while reading the text. Instructors will strive to make the concepts and terminology accessible, but it is expected that students study independently and ask questions if something is unclear. In order to improve the course and its content, it is appreciated that students participate in the course evaluation, both the mid-term and the end of term course evaluation.

    Face-to-face learning
    Prerequisites
  • STÆ312M
    Applied Linear Statistical Models hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The course focuses on simple and multiple linear regression as well as analysis of variance (ANOVA), analysis of covariance (ANCOVA) and binomial regression. The course is a natural continuation of a typical introductory course in statistics taught in various departments of the university.

    We will discuss methods for estimating parameters in linear models, how to construct confidence intervals and test hypotheses for the parameters, which assumptions need to hold for applying the models and what to do when they are not met.

    Students will work on projects using the statistical software R.

     

    Face-to-face learning
    Prerequisites
  • VON001F
    Thesis skills: project management, writing skills and presentation hide
    Elective course
    4
    Free elective course within the programme
    4 ECTS, credits
    Course Description

    Introduction to the scientific method. Ethics of science and within the university community.
    The role of the student, advisors and external examiner. Effective and honest communications.
    Conducting a literature review, using bibliographic databases and reference handling. Thesis structure, formulating research questions, writing and argumentation. How scientific writing differs from general purpose writing. Writing a MS study plan and proposal. Practical skills for presenting tables and figures, layout, fonts and colors. Presentation skills. Project management for a thesis, how to divide a large project into smaller tasks, setting a work plan and following a timeline. Life after graduate school and being employable.

    Face-to-face learning
    Online learning
    Prerequisites
  • Spring 2
  • UMV605M
    Hydropower Plants hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Iceland is somewhat unique in that almost all electricity is produced with renewable energy sources. Hydropower is one of the two main pillars of electricity supply in Iceland, together with geothermal power. 

    Goal: Provide technological insights into hydropower harnessing, with special emphasis on Icelandic conditions. This is a critical class in the emphasis areas of Water Resources Engineering and Renewable Energy Engineering, and touches upon United Nations Sustainable Development Goal nr. 7, sustainable energy.

    Topics: Hydropower potential. Technically feasible hydropower. Main structural components in a hydropower plant. Structural design of hydropower plants, both underground (tunnels) and above ground (dams, spillways). Regulations. Environment, health and safety considerations over life cycle of plant. Ice and sedimentation. Hydro- and electromechanical components. Electricity production. 

    Assessment

    Term assignments/projects, final presentation and oral final exam at the end of semester. 

    Teaching methods 

    Emphasis is on self-study and independent project work. Weekly meetings, 3 x 40 min, are planned. A field site visit is planned. The class is taught in English.

    Students in following specialization have predecedence over others in registration in the course:  Renewable Energy - Hydroelectric Engineering, Water resource engineering

    Face-to-face learning
    Prerequisites
  • UAU213M
    Sustainable Energy Options hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Mankind depends heavily on energy for virtually every aspect of daily life. The main energy source is currently fossil fuels, but the associated pollution (greenhouse gasses, particulate matter, ...), and the fact that it is a limited resource, has lead to an increased interest in other energy resources. Sustainable energy development is the requirement, and in this course we will look at different energy options. For example, we will consider hydropower, geothermal energy, wave-, wind- and solar-energy and biomass energy (nuclear energy).  An overview of current energy use in the world and fossil fuels will be given.

    The physical principles behind each energy source will be explained. Also the environmental impact, the associated risks, policy and economics of different energy options.

    Face-to-face learning
    Prerequisites
  • Not taught this semester
    UMV601M
    Water Supply and Drinking Water Quality hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The aim of this course is to introduce water supply systems design and operation, and how to secure drinking water safety.  Also to introduce simple solutions for water supply in rural areas.

    Course content: Legal framework for water supply. Drinking water quality requirement, threats to water quality and preventive management to secure public health. Water demand estimate for design. Water resources, water harnessing and water supply solutions.  Main elements of water treatment. Storage tanks and their design. Pumps and pumps selections. Design of supply network. Pipes, valves and hydrants.

    The course includes design project of a small water supply from catchment to consumer, project in water safety planning including risk assessment and planning of preventive measures to secure water safety, and a field visit.

    Face-to-face learning
    Prerequisites
  • UMV602M
    Wastewater collection and urban drainage hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    This is an introductory course in the collection and transportation of wastewater in urban areas. This class covers topics relating to the United Nations Sustainable Development goals nr. 6 (sanitation) and nr. 11 (sustainable cities).

    Course contents: Chemical and biological characteristics of sewage and stormwater. Types and quantities of sanitary sewage.  Design of wastewater systems: Pipe flow calculations, allowable pipe slopes and water speeds, Manning´s equation. System components: Pipelines, manholes, pumping stations, combined sewer overflows. Construction, operation and rehabilitation of sewers. Rainwater quantity: Rainfall intensity, duration, frequency and run-off coefficients. Causes and characteristics of urban floods in Iceland. Climate adaptation with sustainable, blue-green stormwater management. Soil capacity to infiltrate water in cold climate. 

    The course includes a design project of a wastewater system, data collection and analyses.

    Face-to-face learning
    Prerequisites
  • VÉL441L
    Final project hide
    Mandatory (required) course
    0
    A mandatory (required) course for the programme
    0 ECTS, credits
    Course Description
    • The topic of the Master's thesis must be chosen under the guidance of the supervisor and the Faculty Coordinator of the student. The thesis represents 30 or 60 credits. All Master's student have been assigned to a Faculty Coordinator from the beginning of their studies, who advises the student regarding the organization of the program. If a student does not have a supervisor for the final project, he / she must turn to the Faculty Coordinator for assistance.
    • The choice of topic is primarily the responsibility of the student in collaboration with his or her project supervisor. The topic of the project should fall within the student's area of study, i.e. course of study and chosen specialisation.
    • The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
    • Final project exam is divided into two parts: Oral examination and open lecture
    • Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
    • The student delivers a thesis and a project poster.
    • According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
    • All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
    • According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.

    Learning Outcomes:

    Upon completion of an MS thesis, the student should be able to:

    • Formulate engineering design project  / research questions
    • Use an appropriate theoretical framework to shed light on his / her topic
    • Analyze and solve engineering tasks in a specialized field.
    • Perform a literature search and a thorough review of the literature.
    • Demonstrate initiative and independent creative thinking.
    • Use economic methodology to answer a specific research question
    • Competently discuss the current knowledge within the field and contribute to it with own research
    • Work with results, analyze uncertainties and limitations and interpret results.
    • Assess the scope of a research project and plan the work accordingly
    • Effectively display results and provide logical reasoning and relate results to the state of knowledge.
    Self-study
    Prerequisites
    Part of the total project/thesis credits
  • VÉL049F
    Selected Topics in Mechanical Engineering hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

    Students contact the teacher and the chair of department regarding registration for the course.

    Self-study
    Prerequisites
  • VÉL215F
    Computational Fluid Dynamics hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The main purpose is to develop methods of predicting numerical solutions in fluid mechanics and heat transfer. Especially of predicting boundary layer phenomena and modelling of turbulence transport properties. Both finite volume and finite difference methods are demonstrated. Solution of non-linear equations and stability criterium. Emphasis is laid on solution of practical problems.

    The course is taught every other year on odd numbered years.

    Face-to-face learning
    The course is taught if the specified conditions are met
    Prerequisites
  • REI204M
    High Performance Computing hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Design of parallel computers and parallel programming models. Shared memory architecture. Message passing and distributed memory architecture. Parallel programming of computer clusters using MPI and multicore programming using OpenMP. Parallel algorithms for sorting, searching, linear algebra, and various graph problems.

    Course topics will be very similar like HPC in Fall 2019:

    http://www.morrisriedel.de/hpc-course-fall-2019

    Positioning in the Field of High-Performance Computing (HPC)

    • Consists of techniques for programming & using large-scale HPC Systems
    • Approach: Get a broad understanding of what HPC is and what can be done
    • Goal: Train general HPC techniques and systems and selected details of domain-specific applications

    Course Motivation

    Parallel processing and distributed computing

    • Matured over the past three decades
    • Both emerged as a well-developed field in computer science
    • Still a lot of innovation, e.g. from hardware/software

    ‘Scientific computing‘ with Maple, Matlab, etc.

    • Performed on small (‘serial‘) computing machines like Desktop PCs or Laptops
    • An increasing number of cores enables ‘better scientific computing‘ today
    • Good for small & fewer complex applications, quickly reach memory limits

    ‘Advanced scientific computing‘

    • Used with computational simulations and large-scale machine & deep learning
    • Performed on large parallel computers; often scientific domain-specific approaches
    • Use orders of magnitude multi-core chips & large memory & specific many-core chips
    • Enables ‘simulations of reality‘ - often based on known physical laws and numerical methods

    Face-to-face learning
    Prerequisites
  • VÉL072M
    Selected Topics in Mechanical Engineering hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

    Students contact the teacher and the chair of department regarding registration for the course.

    Self-study
    Prerequisites
  • Year unspecified
  • Not taught this semester
    UMV205M, UMV205M
    Environmental Impact Assessment 1 hide
    Elective course
    6/6
    Free elective course within the programme
    6/6 ECTS, credits
    Course Description

    Aim: To give an overview of the principles of Environmental Impact Assessment (EIA) of anthropogenic activities and to introduce the procedures and methods used in the environmental assessment process. At the end of the course, students should have gained an understanding of the main principles of EIA and the methods used for its application.  After having completed the course, students should be able to actively participate in the making of EIA. Subject: Environmental Impact Assessment of Projects is the main subject of the course.  EIA is a systematic process meant to streamline development projects by minimizing environmental effects. The first part of the course is an introduction to the global context and history of EIA, the subject of EIA, and an introduction to the EIA methodology.  The second part of the course focuses on processes. The aim, subject, and process of EIA will be explained, including a discussion on the various stages and aspects of the EIA procedure (such as screening, scoping, participants, stakeholders and consultation, impact prediction and assessment, reporting and monitoring).  Although the examples of processes, definitions and methods introduced in the course will be based on the Icelandic legislation, the learning outcome will be of practical use for all students, without regard to their nationality. Through individual assignments, each student will be able to explore the EIA process in context with an area of their choice.  

    Face-to-face learning
    Prerequisites
  • UMV205M, UMV205M
    Environmental Impact Assessment 1 hide
    Elective course
    6/6
    Free elective course within the programme
    6/6 ECTS, credits
    Course Description

    Aim: To give an overview of the principles of Environmental Impact Assessment (EIA) of anthropogenic activities and to introduce the procedures and methods used in the environmental assessment process. At the end of the course, students should have gained an understanding of the main principles of EIA and the methods used for its application.  After having completed the course, students should be able to actively participate in the making of EIA. Subject: Environmental Impact Assessment of Projects is the main subject of the course.  EIA is a systematic process meant to streamline development projects by minimizing environmental effects. The first part of the course is an introduction to the global context and history of EIA, the subject of EIA, and an introduction to the EIA methodology.  The second part of the course focuses on processes. The aim, subject, and process of EIA will be explained, including a discussion on the various stages and aspects of the EIA procedure (such as screening, scoping, participants, stakeholders and consultation, impact prediction and assessment, reporting and monitoring).  Although the examples of processes, definitions and methods introduced in the course will be based on the Icelandic legislation, the learning outcome will be of practical use for all students, without regard to their nationality. Through individual assignments, each student will be able to explore the EIA process in context with an area of their choice.  

    Face-to-face learning
    Prerequisites
  • MAT508M
    Fish Processing Technology 1 hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The role of the fish industry in the Icelandic economy. Fish as raw material, its composition, physical and chemical properties. Fish stocks, fishing gear, selectivity. Storage methods on board and after landing. Processing methods, production process and processing equipment for cooling, superchilling, freezing, salting, drying, canning and shell process. Energy and mass balance for each step in the process and the whole process. 

    Face-to-face learning
    Prerequisites
Year unspecified
  • Fall
  • UAU111F
    Renewable energy: introduction hide
    Mandatory (required) course
    6
    A mandatory (required) course for the programme
    6 ECTS, credits
    Course Description

    Sustainable energy development requires a transition to low-carbon and environmentally benign energy resources.  This introductory course will;  i) provide an overview of the history energy use in the world and status of energy use today.  It in addition will provide an overview of various alternative energy futures derived from IEA scenarios, with focus on low-carbon energy resources and sustainability ii) provide an overview of conventional and alternative energy resources, such as hydropower, geothermal power, wave- , solar- and wind-power in addition to biomass with focus on physical and engineering perspectives, iii) given an introduction to electricity production iv) provide an overview over the environmental impact of energy use and v) provide an introduction to energy policy in the context of sustainable energy futures and other pressing issues such as climate change. 

    The structure of the course consists of lectures and field trips.

    The course is only open for students registered in the specialization renewable energy.

    Face-to-face learning
    Prerequisites
  • VÉL114F
    Geothermal Power Plants hide
    Mandatory (required) course
    7,5
    A mandatory (required) course for the programme
    7,5 ECTS, credits
    Course Description

    The main topics of the course are: 

    • Geothermal power plants worldwide and in Iceland.
    • Thermodynamics in flash power plants, power cycles.
    • Steam separators, condensers, incondensable gases, cooling.
    • Alternative power cycles, ORC and Kalina power plants.
    • Co-production of heat and power.
    • Mechanical design of pipe systems, especially for steam and steam gathering.
    • Scaling and corrosion.  Environmental effects related to geothermal utilization.
    • Economics and cost, both in building phase and operation.
    • Exergy and its relation to environmental conditions.
    • Energy and exergy analysis, Sankey og Grassmann charts.
    • Flow of energy cost, thermo-economics and estimation of net cost in improving parts of energy systems.
    • Production control and equipment for process regulation.
    Face-to-face learning
    Prerequisites
  • VÉL120F
    Geothermal Wells hide
    Mandatory (required) course
    7,5
    A mandatory (required) course for the programme
    7,5 ECTS, credits
    Course Description

    The main topics of the course are: 

    • Geothermal wells, different types and drilling methods.
    • Well casings and mechanical design of geothermal wells.
    • Well cementing, work procedures and standards.
    • Wellheads and their design.  Load on wellheads and related security issues.
    • Well logging and measurements along wells. Methods for measuring temperature and pressure.
    • Well flow initiation and measurement of the mass flow of steam and water. Energy flow from geothermal wells and potential power production capacity.
    • Two phase flow of steam and water. Flow in wells and steam gathering pipes on the surface. Flow properties and determination of flow regimes. Pressure variations in two phase flow.
    Face-to-face learning
    Prerequisites
  • Spring 2
  • VÉL218F
    Direct Geothermal Utilization hide
    Mandatory (required) course
    7,5
    A mandatory (required) course for the programme
    7,5 ECTS, credits
    Course Description

    The main topics of the course are:

    • Energy usage in Iceland, a broad overview.
    • House heating and district heating systems:
    • Thermodynamics of house heating and energy flow in houses.  Heat loss and heat transfer from radiators.
    • Minimum requirements for indoor temperature levels, related to quality of living.
    • District heating connections to houses, obligatory equipment, heat exchangers.
    • Mathematical representation of district heating systems, steady and unsteady operation.
    • Base load for district heating suppliers, its determination based on weather data.
    • Swimming pools.
    • Greenhouses and heating of soil.
    • Snow melting and the use of heat in industry.
    • Fish farming.
    • Heat pumps.
    Face-to-face learning
    Prerequisites
  • VÉL240F
    Interdisciplinary Group Project Within Renewable Energy hide
    Mandatory (required) course
    4
    A mandatory (required) course for the programme
    4 ECTS, credits
    Course Description

    The course is split into two sessions:

    Part 1: April 8th – 10th
    Introduction, groups formed, and project planning.

    Part 2: May 11th – 19th
    Data gathering, group work, report and presentation.

    This is an independent project course for students within the Renewable Energy Graduate Program. The project is based on interdisciplinary collaboration involving the following topics and related faculties:

    Geothermal Engineering (Mechanical Engineering)
    Hydroelectric Engineering (Environmental and Civil Engineering)
    Electrical Power Engineering (Electrical and Computer Engineering)
    Geothermal Resources (Earth Sciences)
    Energy Economics, Policy and Sustainability (Environment and Natural Resources

    In the project, realistic scenarios are considered that involve the students in evaluating the use of a resource for energy production or direct utilization. Main points of emphasis are:

    Resource estimation and sustainability assessment.
    Assessment of the possible utilization processes and engineering design of the chosen energy process.
    Business plan for the project including capital cost estimates and sensitivity analysis of cost data.
    Environmental assessment and permits for utilization and construction.
    Social and environmental impacts of the project.
    Project management of interdisciplinary projects.

    Face-to-face learning
    Prerequisites
  • Fall
  • JAR508M
    Geothermal energy hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Heat budget of the Earth, heat transport to the Earth´s surface. Geothermal systems and their structure, renewability of geothermal systems, methodology in geothermal development, estimation of resource size, fluid origin and chemistry, water-rock interaction, environmental impact of utilization, well testing and well data integration.  The coruse is taught during 7 week period first part of the fall semester.  It consists of lectures, practical, student lectures, student posters, essay and exams.  The course is taught in English.

    Face-to-face learning
    Prerequisites
    Attendance required in class
    Course taught first half of the semester
  • Not taught this semester
    JAR513M
    Energy and resources of the Earth hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    sustainable development.  To approach sustainability we need a holistic vision which takes into account three major foundations: environment, economy and society.  The course will give an overview of Earth´s energy resources, generation and use of fossil fuels, non-renewable and renewable energy sources - including the non-renewable resources of coal, oil, gas, uranium and thorium. The course will cover resources that need to be carefully exploited such as geothermal, hydro- and bio-energy. Other topics of the course include renewable energy based on the sun, wind, tides and waves. The course will also outline the most important natural resources that are used for technology, infrastructue of society and in agriculture, including metals, fertilizers, soil and water. The course will cover how resources are formed, are used, how long they will last and what effect the use has on the environment, the economy and society.  Understanding the socio-economic system that drives natural resource consumption patterns is key to assessing the sustainability of resource management. Thus, recycling of non-renewable resources is also discussed in addition to recent prosperity thinking based on the circular economy and wellbeing economy.

    Face-to-face learning
    Prerequisites
    Attendance required in class
  • JEÐ116F
    Geothermal Reservoir Physics/Engineering hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    A 7-week intensive course (later 7 weeks of autumn term). Taught if sufficient number of students. May be taugth as a reading course.

    The course gives basic insight into geothermal reservoir engineering, on how to monitor, conceptualize, model and manage geothermal reservoirs. Contents:  Heat conduction and convection, well logging, heat and fluid transfer in geothermal reservoirs, well test analysis, resource assessment, lumped parameter modelling, two phase flow, numerical models, reservoir management, reinjection, production strategies and sustainability.

    Course layout: Lectures, practical sessions, exercises/projects, student lecture on a selected topic and a one-day well logging field exercise.

    Face-to-face learning
    The course is taught if the specified conditions are met
    Prerequisites
    Course taught second half of the semester
  • JEÐ502M
    Groundwater Hydrology hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    A 7-week intensive course (first 7 weeks of fall term). 

    Taught if sufficient number of students. May be taugth as a reading course.

    Occurrence of groundwater, the water content of soil, properties and types of aquifers (porosity, retention, yield, storage coefficients; unconfined, confined, leaky, homogeneous, isotropic aquifers). Principles of groundwater flow. Darcy's law, groundwater potential, potentiometric surface, hydraulic conductivity, transmissivity, permeability, determination of hydraulic conductivity in homogeneous and anisotropic aquifers, permeability, flow lines and flow nets, refraction of flow lines, steady and unsteady flow in confined, unconfined and leaky aquifers, general flow equations. Groundwater flow to wells, drawdown and recovery caused by pumping wells, determination of aquifer parameters from time-drawdown data, well loss, capacity and efficiency. Sea-water intrusion in coastal aquifers. Mass transport of solutes by groundwater flow. Quality and pollution of groundwater. Case histories from groundwater studies in Iceland. Numerical models of groundwater flow.   Students carry out an interdisciplinary project on groundwater hydrology and management.

    Face-to-face learning
    The course is taught if the specified conditions are met
    Prerequisites
    Course taught first half of the semester
  • UAU101F
    Sustainable Development, Environmental Policy and Resource Management hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Various incentives, policies and management initiatives are used to influence human behavior, to limit the ecological footprint (EF), and to promote sustainable development. This course focuses on environmental and resource management and policy - in the context of sustainable development (SD). The course is broken to three sessions. In the first session we assess the concept SD from various perspectives - followed by an attempt to operationalize the concept. We compare the concepts growth and SD and ask if the two are compatible and discuss sustainability indicators. In the second session we critically examine various tools that are frequently used in environmental and resource decision-making, such as formal decision analysis, cost-benefit and cost-effectiveness analysis in addition to valuing ecosystem services. In the third session we examine the ideological foundations behind environmental and resource policy, and assess various policy and management initiatives for diverse situations in a comparative international context. Examples are much based on student interests but possible examples include bottle-deposit systems, ITQ's, voluntary approaches and multi-criteria management.

    Face-to-face learning
    Prerequisites
  • UAU108F
    Corporate Environmental Management hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    This course seeks to explore the responsibility of companies towards the environment. Active participation of students is required by analysing issues related to companies, the natural environment and various stakeholders, but that is for instance done through a simulation and case studies.

    The aim of the course is to create an understanding of and teach students to choose and employ the necessary tools to assess goals and make decisions when it comes to environmental and resource management in the context of sustainable development. Among the tools used are the Sustainable Development Goals, the Paris Agreement, the UN Global Compact, the Global Reporting Initiative and more.

    The course is divided into three parts. In part one, we will explore the origins and meaning of corporate liability. The second part focuses on how to manage and implement corporate responsibility. In the third part, we will learn about corporate responsibility from the perspective of impact, criticism, and future prospects.

    At a minimum, the successful completion of this course assumes that students have acquired a theoretical understanding of the subject, are able to apply the methods that have been taught and are literate in case of information related to companies and their environmental issues, outcomes, and impacts.

    Face-to-face learning
    Prerequisites
  • VÉL441L
    Final project hide
    Mandatory (required) course
    0
    A mandatory (required) course for the programme
    0 ECTS, credits
    Course Description
    • The topic of the Master's thesis must be chosen under the guidance of the supervisor and the Faculty Coordinator of the student. The thesis represents 30 or 60 credits. All Master's student have been assigned to a Faculty Coordinator from the beginning of their studies, who advises the student regarding the organization of the program. If a student does not have a supervisor for the final project, he / she must turn to the Faculty Coordinator for assistance.
    • The choice of topic is primarily the responsibility of the student in collaboration with his or her project supervisor. The topic of the project should fall within the student's area of study, i.e. course of study and chosen specialisation.
    • The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
    • Final project exam is divided into two parts: Oral examination and open lecture
    • Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
    • The student delivers a thesis and a project poster.
    • According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
    • All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
    • According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.

    Learning Outcomes:

    Upon completion of an MS thesis, the student should be able to:

    • Formulate engineering design project  / research questions
    • Use an appropriate theoretical framework to shed light on his / her topic
    • Analyze and solve engineering tasks in a specialized field.
    • Perform a literature search and a thorough review of the literature.
    • Demonstrate initiative and independent creative thinking.
    • Use economic methodology to answer a specific research question
    • Competently discuss the current knowledge within the field and contribute to it with own research
    • Work with results, analyze uncertainties and limitations and interpret results.
    • Assess the scope of a research project and plan the work accordingly
    • Effectively display results and provide logical reasoning and relate results to the state of knowledge.
    Self-study
    Prerequisites
    Part of the total project/thesis credits
  • VÉL049F
    Selected Topics in Mechanical Engineering hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

    Students contact the teacher and the chair of department regarding registration for the course.

    Self-study
    Prerequisites
  • Not taught this semester
    VÉL102M
    Energy Intensive Production Processes hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The aim of the course is:- To give students overview of processes in materials engineering;- To encourage students to think about feasible ways to utilize renewable energy. The course will cover the industrial processes in some of the larger Icelandic companies, including the production of ferro-alloys, aluminium smelting, rockwool production, recycling of steel, algea and diatomitemining, and production of sodium chlorine, fertilizers, cement. The course will also cover some of the larger material engineering processes that are not in practice in Iceland but may be a feasible option for Icelandic industry. Students will get good overview of the processes, required materials, source of power and power consumption, pollution, products etc. Discussions will be held on the financial background for individual processes, covering aspects such as production cost, profit and the influences of market share changes. Grades are based on 2 larger projects the students work on through the semester. Field trips are an important part of the course.

    Face-to-face learning
    Prerequisites
  • VÉL103M
    Computational Structural Mechanics hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The aim of this course is to give students an exposure to the theoretical basis of the finite element method and its implementation principles. Furthermore, to introduce the use of available finite element application software for solving real-life engineering problems.

    The course covers such topics as: stiffness matrices, elements stiffness matrix, system stiffness matrix, local and global stiffness, shape functions, isoparametric formulation and numerical integration. Various elements are studied, such as, trusses and beams, plane elements, 3D elements, plates and shells. Students mostly solve problems in solid mechanics (stress analysis) but can choose to work on a design project in other areas, such as vibrations or heat transfer.

    The course includes class lectures and work sessions where students solve problems, both in python (can also choose matlab) and in the commercial software Ansys, under the supervison of the instructor. There is extensive use of Python (Matlab) and Ansys in solving homework problems and semester projects.

    Face-to-face learning
    Prerequisites
  • VÉL101M
    Vibration Analysis hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Spectral and wavelet analysis. Linear and nonlinear systems. Envelope and cepstrum analysis Measurement, identification and response problems. Vibrations of continuous systems. Formulation of finite element model for analysis of dynamic problems. Fault diagnostic and machine condition monitoring.

    Face-to-face learning
    Prerequisites
  • VÉL113F
    Design Optimization hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Optimum design concepts. Fundamentals of linear and nonlinear programming, constrained and unconstrained optimum design problems. Simulated annealing and genetic algorithms. Project and applications to realistic engineering design problems.

    Face-to-face learning
    Prerequisites
  • VÉL501M
    Corrosion hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Basic thermodynamic and electrochemical principles that cause corrosion. Procedures of electrochemical measurements used to investigate corrosion behavior. Methods of corrosion protection and prevention, materials selection and design.

    The course is taught every other year on even numbered years.

    Face-to-face learning
    The course is taught if the specified conditions are met
    Prerequisites
  • EÐL520M
    Condensed Matter Physics 1 hide
    Elective course
    8
    Free elective course within the programme
    8 ECTS, credits
    Course Description

    The course is an introduction to some basic concepts of condensed matter physics. Curriculum: Chemical bonds, crystal structure, crystal symmetry, the reciprocal lattice. Vibrational modes of crystals, phonons, specific heat, thermal conductivity. The free electron model, band structure of condensed matter, effective mass. Metals, insulators and semiconductors. The course includes three labs.

    Face-to-face learning
    Prerequisites
  • IÐN113F
    Time Series Analysis hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    ARMAX and other similar time series models. Non-stationary time series. Correlation and spectral analysis. Parameter estimation, parametric and non-parametric approaches, Least Squares and Maximum Likelihood. Model validation methods. Models with time dependent parameters. Numerical methods for minimization. Outlier detection and interpolation. Introduction to nonlinear time series models. Discrete state space models. Discrete state space models. Extensive use of MATLAB, especially the System Identification Toolbox.

    Distance learning
    Self-study
    Prerequisites
  • JEÐ503M
    Continuum Mechanics and Heat Transfer hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Objectives:   To introduce continuum mechanics, fluid dynamics and heat transfer and their application to problems in physics and geophysics. I. Stress and strain, stress fields, stress tensor, bending of plates, models of material behaviour: elastic, viscous, plastic materials. II. Fluids, viscous fluids, laminar and turbulent flow, equation of continuity, Navier-Stokes equation. III. Heat transfer: Heat conduction, convection, advection and geothermal resources. Examples and problems from various branches of physics will be studied, particularly from geophysics.

    Teaching statement: To do well in this course, students should actively participate in the discussions, attend lectures, give student presentations and deliver the problem sets assigned in the course. Students will gain knowledge through the lectures, but it is necessary to do the exercises to understand and train the use of the concepts. The exercises are intergrated in the text of the book, it is recommended to do them while reading the text. Instructors will strive to make the concepts and terminology accessible, but it is expected that students study independently and ask questions if something is unclear. In order to improve the course and its content, it is appreciated that students participate in the course evaluation, both the mid-term and the end of term course evaluation.

    Face-to-face learning
    Prerequisites
  • STÆ312M
    Applied Linear Statistical Models hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The course focuses on simple and multiple linear regression as well as analysis of variance (ANOVA), analysis of covariance (ANCOVA) and binomial regression. The course is a natural continuation of a typical introductory course in statistics taught in various departments of the university.

    We will discuss methods for estimating parameters in linear models, how to construct confidence intervals and test hypotheses for the parameters, which assumptions need to hold for applying the models and what to do when they are not met.

    Students will work on projects using the statistical software R.

     

    Face-to-face learning
    Prerequisites
  • VON001F
    Thesis skills: project management, writing skills and presentation hide
    Elective course
    4
    Free elective course within the programme
    4 ECTS, credits
    Course Description

    Introduction to the scientific method. Ethics of science and within the university community.
    The role of the student, advisors and external examiner. Effective and honest communications.
    Conducting a literature review, using bibliographic databases and reference handling. Thesis structure, formulating research questions, writing and argumentation. How scientific writing differs from general purpose writing. Writing a MS study plan and proposal. Practical skills for presenting tables and figures, layout, fonts and colors. Presentation skills. Project management for a thesis, how to divide a large project into smaller tasks, setting a work plan and following a timeline. Life after graduate school and being employable.

    Face-to-face learning
    Online learning
    Prerequisites
  • Spring 2
  • UMV605M
    Hydropower Plants hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Iceland is somewhat unique in that almost all electricity is produced with renewable energy sources. Hydropower is one of the two main pillars of electricity supply in Iceland, together with geothermal power. 

    Goal: Provide technological insights into hydropower harnessing, with special emphasis on Icelandic conditions. This is a critical class in the emphasis areas of Water Resources Engineering and Renewable Energy Engineering, and touches upon United Nations Sustainable Development Goal nr. 7, sustainable energy.

    Topics: Hydropower potential. Technically feasible hydropower. Main structural components in a hydropower plant. Structural design of hydropower plants, both underground (tunnels) and above ground (dams, spillways). Regulations. Environment, health and safety considerations over life cycle of plant. Ice and sedimentation. Hydro- and electromechanical components. Electricity production. 

    Assessment

    Term assignments/projects, final presentation and oral final exam at the end of semester. 

    Teaching methods 

    Emphasis is on self-study and independent project work. Weekly meetings, 3 x 40 min, are planned. A field site visit is planned. The class is taught in English.

    Students in following specialization have predecedence over others in registration in the course:  Renewable Energy - Hydroelectric Engineering, Water resource engineering

    Face-to-face learning
    Prerequisites
  • UAU213M
    Sustainable Energy Options hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Mankind depends heavily on energy for virtually every aspect of daily life. The main energy source is currently fossil fuels, but the associated pollution (greenhouse gasses, particulate matter, ...), and the fact that it is a limited resource, has lead to an increased interest in other energy resources. Sustainable energy development is the requirement, and in this course we will look at different energy options. For example, we will consider hydropower, geothermal energy, wave-, wind- and solar-energy and biomass energy (nuclear energy).  An overview of current energy use in the world and fossil fuels will be given.

    The physical principles behind each energy source will be explained. Also the environmental impact, the associated risks, policy and economics of different energy options.

    Face-to-face learning
    Prerequisites
  • Not taught this semester
    UMV601M
    Water Supply and Drinking Water Quality hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The aim of this course is to introduce water supply systems design and operation, and how to secure drinking water safety.  Also to introduce simple solutions for water supply in rural areas.

    Course content: Legal framework for water supply. Drinking water quality requirement, threats to water quality and preventive management to secure public health. Water demand estimate for design. Water resources, water harnessing and water supply solutions.  Main elements of water treatment. Storage tanks and their design. Pumps and pumps selections. Design of supply network. Pipes, valves and hydrants.

    The course includes design project of a small water supply from catchment to consumer, project in water safety planning including risk assessment and planning of preventive measures to secure water safety, and a field visit.

    Face-to-face learning
    Prerequisites
  • UMV602M
    Wastewater collection and urban drainage hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    This is an introductory course in the collection and transportation of wastewater in urban areas. This class covers topics relating to the United Nations Sustainable Development goals nr. 6 (sanitation) and nr. 11 (sustainable cities).

    Course contents: Chemical and biological characteristics of sewage and stormwater. Types and quantities of sanitary sewage.  Design of wastewater systems: Pipe flow calculations, allowable pipe slopes and water speeds, Manning´s equation. System components: Pipelines, manholes, pumping stations, combined sewer overflows. Construction, operation and rehabilitation of sewers. Rainwater quantity: Rainfall intensity, duration, frequency and run-off coefficients. Causes and characteristics of urban floods in Iceland. Climate adaptation with sustainable, blue-green stormwater management. Soil capacity to infiltrate water in cold climate. 

    The course includes a design project of a wastewater system, data collection and analyses.

    Face-to-face learning
    Prerequisites
  • VÉL441L
    Final project hide
    Mandatory (required) course
    0
    A mandatory (required) course for the programme
    0 ECTS, credits
    Course Description
    • The topic of the Master's thesis must be chosen under the guidance of the supervisor and the Faculty Coordinator of the student. The thesis represents 30 or 60 credits. All Master's student have been assigned to a Faculty Coordinator from the beginning of their studies, who advises the student regarding the organization of the program. If a student does not have a supervisor for the final project, he / she must turn to the Faculty Coordinator for assistance.
    • The choice of topic is primarily the responsibility of the student in collaboration with his or her project supervisor. The topic of the project should fall within the student's area of study, i.e. course of study and chosen specialisation.
    • The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
    • Final project exam is divided into two parts: Oral examination and open lecture
    • Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
    • The student delivers a thesis and a project poster.
    • According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
    • All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
    • According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.

    Learning Outcomes:

    Upon completion of an MS thesis, the student should be able to:

    • Formulate engineering design project  / research questions
    • Use an appropriate theoretical framework to shed light on his / her topic
    • Analyze and solve engineering tasks in a specialized field.
    • Perform a literature search and a thorough review of the literature.
    • Demonstrate initiative and independent creative thinking.
    • Use economic methodology to answer a specific research question
    • Competently discuss the current knowledge within the field and contribute to it with own research
    • Work with results, analyze uncertainties and limitations and interpret results.
    • Assess the scope of a research project and plan the work accordingly
    • Effectively display results and provide logical reasoning and relate results to the state of knowledge.
    Self-study
    Prerequisites
    Part of the total project/thesis credits
  • VÉL049F
    Selected Topics in Mechanical Engineering hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

    Students contact the teacher and the chair of department regarding registration for the course.

    Self-study
    Prerequisites
  • VÉL215F
    Computational Fluid Dynamics hide
    Elective course
    7,5
    Free elective course within the programme
    7,5 ECTS, credits
    Course Description

    The main purpose is to develop methods of predicting numerical solutions in fluid mechanics and heat transfer. Especially of predicting boundary layer phenomena and modelling of turbulence transport properties. Both finite volume and finite difference methods are demonstrated. Solution of non-linear equations and stability criterium. Emphasis is laid on solution of practical problems.

    The course is taught every other year on odd numbered years.

    Face-to-face learning
    The course is taught if the specified conditions are met
    Prerequisites
  • REI204M
    High Performance Computing hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Design of parallel computers and parallel programming models. Shared memory architecture. Message passing and distributed memory architecture. Parallel programming of computer clusters using MPI and multicore programming using OpenMP. Parallel algorithms for sorting, searching, linear algebra, and various graph problems.

    Course topics will be very similar like HPC in Fall 2019:

    http://www.morrisriedel.de/hpc-course-fall-2019

    Positioning in the Field of High-Performance Computing (HPC)

    • Consists of techniques for programming & using large-scale HPC Systems
    • Approach: Get a broad understanding of what HPC is and what can be done
    • Goal: Train general HPC techniques and systems and selected details of domain-specific applications

    Course Motivation

    Parallel processing and distributed computing

    • Matured over the past three decades
    • Both emerged as a well-developed field in computer science
    • Still a lot of innovation, e.g. from hardware/software

    ‘Scientific computing‘ with Maple, Matlab, etc.

    • Performed on small (‘serial‘) computing machines like Desktop PCs or Laptops
    • An increasing number of cores enables ‘better scientific computing‘ today
    • Good for small & fewer complex applications, quickly reach memory limits

    ‘Advanced scientific computing‘

    • Used with computational simulations and large-scale machine & deep learning
    • Performed on large parallel computers; often scientific domain-specific approaches
    • Use orders of magnitude multi-core chips & large memory & specific many-core chips
    • Enables ‘simulations of reality‘ - often based on known physical laws and numerical methods

    Face-to-face learning
    Prerequisites
  • VÉL072M
    Selected Topics in Mechanical Engineering hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    Lectures on and study of selected topics in current research and recent development in the field of Mechanical engineering. Topics may vary.

    Students contact the teacher and the chair of department regarding registration for the course.

    Self-study
    Prerequisites
  • Year unspecified
  • Not taught this semester
    UMV205M, UMV205M
    Environmental Impact Assessment 1 hide
    Elective course
    6/6
    Free elective course within the programme
    6/6 ECTS, credits
    Course Description

    Aim: To give an overview of the principles of Environmental Impact Assessment (EIA) of anthropogenic activities and to introduce the procedures and methods used in the environmental assessment process. At the end of the course, students should have gained an understanding of the main principles of EIA and the methods used for its application.  After having completed the course, students should be able to actively participate in the making of EIA. Subject: Environmental Impact Assessment of Projects is the main subject of the course.  EIA is a systematic process meant to streamline development projects by minimizing environmental effects. The first part of the course is an introduction to the global context and history of EIA, the subject of EIA, and an introduction to the EIA methodology.  The second part of the course focuses on processes. The aim, subject, and process of EIA will be explained, including a discussion on the various stages and aspects of the EIA procedure (such as screening, scoping, participants, stakeholders and consultation, impact prediction and assessment, reporting and monitoring).  Although the examples of processes, definitions and methods introduced in the course will be based on the Icelandic legislation, the learning outcome will be of practical use for all students, without regard to their nationality. Through individual assignments, each student will be able to explore the EIA process in context with an area of their choice.  

    Face-to-face learning
    Prerequisites
  • UMV205M, UMV205M
    Environmental Impact Assessment 1 hide
    Elective course
    6/6
    Free elective course within the programme
    6/6 ECTS, credits
    Course Description

    Aim: To give an overview of the principles of Environmental Impact Assessment (EIA) of anthropogenic activities and to introduce the procedures and methods used in the environmental assessment process. At the end of the course, students should have gained an understanding of the main principles of EIA and the methods used for its application.  After having completed the course, students should be able to actively participate in the making of EIA. Subject: Environmental Impact Assessment of Projects is the main subject of the course.  EIA is a systematic process meant to streamline development projects by minimizing environmental effects. The first part of the course is an introduction to the global context and history of EIA, the subject of EIA, and an introduction to the EIA methodology.  The second part of the course focuses on processes. The aim, subject, and process of EIA will be explained, including a discussion on the various stages and aspects of the EIA procedure (such as screening, scoping, participants, stakeholders and consultation, impact prediction and assessment, reporting and monitoring).  Although the examples of processes, definitions and methods introduced in the course will be based on the Icelandic legislation, the learning outcome will be of practical use for all students, without regard to their nationality. Through individual assignments, each student will be able to explore the EIA process in context with an area of their choice.  

    Face-to-face learning
    Prerequisites
  • MAT508M
    Fish Processing Technology 1 hide
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The role of the fish industry in the Icelandic economy. Fish as raw material, its composition, physical and chemical properties. Fish stocks, fishing gear, selectivity. Storage methods on board and after landing. Processing methods, production process and processing equipment for cooling, superchilling, freezing, salting, drying, canning and shell process. Energy and mass balance for each step in the process and the whole process. 

    Face-to-face learning
    Prerequisites
Additional information

The University of Iceland collaborates with over 400 universities worldwide. This provides a unique opportunity to pursue part of your studies at an international university thus gaining added experience and fresh insight into your field of study.

Students generally have the opportunity to join an exchange programme, internship, or summer courses. However, exchanges are always subject to faculty approval.

Students have the opportunity to have courses evaluated as part of their studies at the University of Iceland, so their stay does not have to affect the duration of their studies.

Mechanical engineers from the University of Iceland are in great demand on the job market, not least due to their skills in applying disciplined working procedures to find solutions to complex problems. Mechanical engineers work in design and analysis, but also as planners and managing directors.

An education in this area can open up opportunities with:

  • Manufacturing companies
  • Engineering firms
  • Energy companies
  • Software companies
  • Financial institutions

This list is not exhaustive

Vélin is the organisation for students in industrial, mechanical and chemical engineering at the University of Iceland. Vélin advocates for members and organises social events. 

Students' comments
Aron Óttarsson
The education at the University of Iceland has provided me with various opportunities that would not have otherwise been available, such as using the knowledge I acquire to design and build a race car from scratch. Also, the social life is excellent; it is easy to meet new people, and student associations make sure that the group bonds through science trips and other fun events, while also safeguarding the interests of their members.
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Engineering and Natural Sciences
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School of Engineering and Natural Sciences has facilities both in Tæknigarður and Askja.

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University of Iceland, Tæknigarður (Centre for Technical Innovation)

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