Concepts, units, scales and dimensions. Vectors. Kinematics of particles. Particle dynamics, inertia, forces and Newton's laws. Friction. Work and energy, conservation of energy. Momentum, collisions. Systems of particles, center of mass. Rotation of a rigid body. Angular momentum and moment of inertia. Statics. Gravity. Solids and fluids, Bernoulli's equation. Oscillations: Simple, damped and forced. Waves. Sound. Temperature. Ideal gas. Heat and the first law of thermodynamics. Kinetic theory of gases. Entropy and the second law of thermodynamics. Home problems: Once a week the students have to solve homeproblems on the website MasteringPhysics.

Laboratory work: Three exercises, mainly centered on mechanics, where students are trained in handling physical instruments, collecting and inspecting data. Students hand in their lab notebooks for a grade.

Note that the textbook is accessible to students via Canvas free of charge.

The basis of the atomic theory. Stoichiometry. Types of chemical reactions and solution stoichiometry. Properties of gases. Chemical equilibrium. Acids and bases. Applications of aqueous equilibria. Chemical thermodynamics. Enthropy, free energy and equilibrium. Electrochemistry. Chemical kinetics. Physical properties of solutions.

Molar volume of gases, thermochemistry, reaction enthalpies and Hesse's law, Rate of chemical reactions, decomposition of hydrogen peroxide, reaction reversibility and Le Chatelier's principle, determination of acid ionization constant with potentiometric titration, determination of equilibrium constant with absorbtion measurements.

This is a foundational course in single variable calculus. The prerequisites are high school courses on algebra, trigonometry. derivatives, and integrals. The course aims to create a foundation for understanding of subjects such as natural and physical sciences, engineering, economics, and computer science. Topics of the course include the following:

• Real numbers.
• Limits and continuous functions.
• Differentiable functions, rules for derivatives, derivatives of higher order, applications of differential calculus (extremal value problems, linear approximation).
• Transcendental functions.
• Mean value theorem, theorems of l'Hôpital and Taylor.
• Integration, the definite integral and rules/techniques of integration, primitives, improper integrals.
• Fundamental theorem of calculus.
• Applications of integral calculus: Arc length, area, volume, centroids.
• Ordinary differential equations: First-order separable and homogeneous differential equations, first-order linear equations, second-order linear equations with constant coefficients.
• Sequences and series, convergence tests.
• Power series, Taylor series.

Basics of linear algebra over the reals.  

Subject matter: Systems of linear equations, matrices, Gauss-Jordan reduction.  Vector spaces and their subspaces.  Linearly independent sets, bases and dimension.  Linear maps, range space and nullk space.  The dot product, length and angle measures.  Volumes in higher dimension and the cross product in threedimensional space.  Flats, parametric descriptions and descriptions by equations.  Orthogonal projections and orthonormal bases.  Gram-Schmidt orthogonalization.  Determinants and inverses of matrices.  Eigenvalues, eigenvectors and diagonalization.

Programming in Python (for computations in engineering and science): Main commands and statements (computations, control statements, in- and output), definition and execution of functions, datatypes (numbers, matrices, strings, logical values, records), operations and built-in functions, array and matrix computation, file processing, statistics, graphics. Object-oriented programming: classes, objects, constructors and methods. Concepts associated with design and construction of program systems: Programming environment and practices, design and documentation of function and subroutine libraries, debugging and testing of programmes.

In this course, several energy and production processes and their technology in the Icelandic economy will be covered: aluminum production, silicon iron production, gas and composting from organic waste, paint, rock wool, fish oil and methanol production, etc.  New and environmentally friendly production processes that can possibly replace older production processes in the future will also be examined.

The course is taught together with EÐL201G. The class is given for 8 weeks (spread over 11 week period).Topics: Charge and electric field. Gauss' law. Electric potential. Capacitors and dielectrics. Electric currents and resistance. Magnetic fields. The laws of Ampère and Faraday. Induction. Maxwell's equations. Electromagnetic waves. Reflection and refraction. Lenses and mirrors. Wave optics. Two laboratory exercises in optics.

This course focuses on the structure of the periodic table and properties of the elements based on their place in the periodic table. The students learn about the naturally occurring forms of the elements, isolation of the elements and common chemical reactions. Atomic theory is taught as a base for understanding the properties of the elements and their reactivity. Early theories of the structure of the hydrogen atome put forward by Bohr and their development to modern view of the atom structure are covered. The electronic structure of the atom is described, and theories describing formation of chemical bonds such as valence bond theory, VSEPR, and molecular orbital theory are used to determine structures and predict reactivity of molecules. Processes for purification of metals from their naturally occurring ores is covered as well as properties of metalloids and nonmetals. The transition metal elements, and the formation of coordination compounds with solubility, equilibria, ions and electron pair donors will be introduced. Radioactivity, formation and types of radioactive species, reactions and their applications will be introduced.

The course contains independent, individual exercises in qualitative analyses. The student will conduct analyses of cations from the first, second, third and fourth group as well as selected anions. Supporting lectures accompany the laboratory work.

In the first half of the course, students will analyze prepared aqueous solutions of unknown compositions. In the second half the student will analyze unknown metallic alloys and salt compositions.

The student will keep a laboratory workbook during the whole course and hand it in for evaluation at the end of every exercise section.

The final grade is composed of the teacher’s grade for performance, the grade for the laboratory workbook and the grade for a short oral examination at the end of the course.

Book: Qualitative Analysis and the Property of Ions in aqueous solutions, 2. Ed., by Slowinski and Masterton.

Introduction to processes and material and energy balance calculations applied to industrial processes. Analysis of gas behavior, gas-liquid systems, and phase equilibrium. Material balances, including reaction systems and multiple-unit systems. Energy balances, including reaction systems and multiple-unit systems, and combined energy-material balances.

Open and closed sets. Mappings, limits and continuity. Differentiable mappings, partial derivatives and the chain rule. Jacobi matrices. Gradients and directional derivatives. Mixed partial derivatives. Curves. Vector fields and flow. Cylindrical and spherical coordinates. Taylor polynomials. Extreme values and the classification of stationary points. Extreme value problems with constraints. Implicit functions and local inverses. Line integrals, primitive functions and exact differential equations. Double integrals. Improper integrals. Green's theorem. Simply connected domains. Change of variables in double integrals. Multiple integrals. Change of variables in multiple integrals. Surface integrals. Integration of vector fields. The theorems of Stokes and Gauss.

Continuation of EVF401G. Methods in precessor course to solve simple or actual problems/subjects in single or few unit operation.  Thermodynamics with and without chemical reactions, use of simulators and softwares.  Energy processes (Carnor cycles, work cycles, cooling cycles) in chemical industry, separation analysis with McCabe-Tiele method, steady state and transient processes, safety in chemical industry, process control and models in chemical industry.

Energy balances for chemical processes that include mixing, phase change and reactions. Classical equilibrium thermodynamics with an emphasis on the use of thermodynamic data to predict reaction equilibrium and optimize selectivity and yield. The use of thermodynamic data and theory to predict vapor-liquid equilibrium for both ideal and non-ideal systems.

Goal: This course covers the basics of quantum chemistry. Additionally, a few simple electrochemical cells will be introduced. 

Course content:  The Schrödinger equation, wave functions and their interpretation, uncertainity principle, particle in a box, excitation with photons, harmonic oscillator, vibration of molecules, hydrogen atom, atoms with many electrons, orbitals, molecules and chemical bonds, Hartree-Fock approximation and methods for correcting it using variational calculations or perturbation calculations. Simple electrochemical cells.

The aim of this course is offer insights into the analysis and design of technical systems, i.e. systems that use energy, material and information to fulfill given goals. The following topics will be covered in the course:

1) Simple electrical circuits and their use to measure physical properties, such as position, pressure, temperature, and flow.

2) Simple actuators and their use for movement and control of mechanical systems.

3) The basics of automatic control and the use of feedback.

4) The use of microcontrollers for measurement and control of simple technical systems.

5) The process of designing technical systems, including requirements, analysis, implementation, testing, and improvements.

Functions of a complex variable. Analytic functions. The exponential function, logarithms and roots. Cauchy's Integral Theorem and Cauchy's Integral Formula. Uniform convergence. Power series. Laurent series. Residue integration method. Application of complex function theory to fluid flows. Ordinary differential equations and systems of ordinary differential equations. Linear differential equations with constant coefficients. Systems of linear differential equations. The matrix exponential function. Various methods for obtaining a particular solution. Green's functions for initial value problems. Flows and the phase plane. Nonlinear systems of ordinary differential equations in the plane, equilibrium points, stability and linear approximations. Series solutions and the method of Frobenius. Use of Laplace transforms in solving differential equations.

Basic principles of organic chemistry with special reference to the medical disciplines. All main classes of organic compounds from alkanes to amines are covered together with their major reaction mechanisms. Structure and chemistry of biological compounds such as carbohydrates, lipids, amino acids and proteins with special reference to biochemistry, enzyme catalysed reaction and medicine in general.

Students will be trained in the laboratory work needed in the organic lab. Organic compounds will be synthesized with addition, alkylation and aldol condensation. The idendtification of organic compounds will be performed with the help of derivatives and TLC.

The major equipment of chemical process plants is called "unit operastions" and consists mainly of three types. Firstly, there are reactors. Secondly separation equipment. Thirdly heat exchangers and boilers. This course covers the main examples of separation equipment used in industry. Heat exchangers will also be treated. The operating principles and modeling of every equipment type will be introduced. Students will simulate every equipment type in the process simulator Aspen. 

This course will also introduce students to process simulation software. For this purpose, it is highly recommended that every student have a Windows laptop or a Macintosh with virtual Windows installed.

Basic concepts in probability and statistics based on univariate calculus. 

Topics: 
Sample space, events, probability, equal probability, independent events, conditional probability, Bayes rule, random variables, distribution, density, joint distribution, independent random variables, condistional distribution, mean, variance, covariance, correlation, law of large numbers, Bernoulli, binomial, Poisson, uniform, exponential and normal random variables. Central limit theorem. Poisson process. Random sample, statistics, the distribution of the sample mean and the sample variance. Point estimate, maximum likelihood estimator, mean square error, bias. Interval estimates and hypotheses testing form normal, binomial and exponential samples. Simple linear regression. Goodness of fit tests, test of independence.

Fundamental concepts on approximation and error estimates. Solutions of systems of linear and non-linear equations. PLU decomposition. Interpolating polynomials, spline interpolation and regression. Numerical differentiation and integration. Extrapolation. Numerical solutions of initial value problems of systems of ordinary differential equations. Multistep methods. Numerical solutions to boundary value problems for ordinary differential equations.

Grades are given for programning projects and in total they amount to 30% of the final grade. The student has to receive the minimum grade of 5 for both the projects and the final exam.

Heat conduction, one and two dimensional systems, steady and unsteady heat conduction, numerical analysis of heat conduction systems. Fins and enlarged heat transfer surfaces. Heat transfer by convection, laminar and turbulent flow. Free and forced convection. Evaporation and condensation. Thermal radiation, Stefan-Boltzmann's and Planck's laws. Thermal radiation properties of materials. Shape factors, radiative heat exchange between surfaces, radiation properties of gases. Heat exchangers and their design. Special topics in heat transfer.

The objective of the course is that students get the skills to:

1.    Understand the main concepts in accounting, cost theory and investment theory.

2.    Be able to use methods of measuring the economic feasibility of technical projects.

3.    Be able to develop computer models to assess the profitability of investments, the value of companies and pricing of bonds

Among topics included are accounting, cost theory, cash flow analysis, investment theory, measures of profitability including net present value and internal rate of return, and the building of profitability models. The course ends with a group assignment where the students exercise the development of computer models for feasibility assessment of projects.

The class goal is to introduce students to the interdisciplinary field of environmental engineering. The class studies the causes and concerns of environmental problems and provides analytical tools to assess and control them. Topics include: Global and local environmental issues, mass transfer theory, environmental chemistry, risk assessments, water pollution, water and wastewater treatment, air pollution, solid waste management, global warming and united nations sustainable development goals.

Lectures and recitations will be conducted in Icelandic. Written materials (class notes, homeworks and textbook) are in English. Students perform a group research project which involves data collection in the field, oral presentation and report writing. 

Methods of classical automatic control systems. System models represented by transfer functions and state equations, simulation. System time and frequency responses. Properties of feedback control systems, stability, sensitivity, disturbance rejection, error coefficients. Stability analysis, Routh's stability criterion. Analysis and design using root-locus, lead, lag and PID controllers. Analysis and design in the frequency domain, lead, lag and PID compensators. Computer controlled systems, A/D and D/A converters, transformations of continuous controllers to discrete form. Analysis and design of digital control systems.

Basic principles and mathematical methods in thermodynamics,
laws of thermodynamics, state functions, Maxwell relations, equilibrium, phase transitions, quantum statistical mechanics, ideal and real gases, specific heat, rate theory.

Properties of liquids and gases. Pressure and force fields in liquids at rest, pressure gauges. Equations of motion, continuity, momentum and energy. Bernoulli equation of motion. Dimensional analysis and dynamic similarity. Two dimensional flow, non-viscous fluids, boundary layers theory, laminar and turbulent flow, fluid friction and form drag. Flow of compressible fluids, velocity of sound. Mach number, sound waves, nozzle shape for supersonic speed. Open channel flow. Several experiments are conducted.

Presentations on study and career options in Chemical Engineering and related fields are given by the instructors and invited speakers. The seminar will explore career options, MS degree options in Europe, the USA and elsewhere for students after completing their BS in Chemical Engineering.

Attendance is compulsory. A minimum of 4 lectures must be attended to complete the course.

A systematic introduction to the use of process simulators (like Aspen) to model, design and optimize chemical manufacturing processes. The selection, optimization and combination of reactors, separation equipment and heat exchangers. An introduction to the concepts and principles of project economics.

Design of chemical reactors for economical processes and waste minimization. Contacting patterns, kinetics and transport rate effects in single phase and catalytic systems. Another goal of the course is to introduce the fundamentals of mass transfer in chemical engineering such as the mass transfer theory and how to set up differential equations and solve them for such systems.

The purpose of the course is to train an engineering approach to experiments and experimental thinking. Experiments are designed, carried out, data collected and processed using statistical methods. Finally, it discussed how conclusions can be drawn from data / information when using experiments in for example product design and the design and operation of production systems.

Course material: Linear and non-linear regression analysis. Analysis of Variances (ANOVA). Design of experiments. Statistical quality control. Non-parametric tests that can be used in data processing. Use of statistical programs when solving tasks.

The course is a practical course with weekly supportive lectures.  The lectures provide heroretical background of the instrumental methods and the instruments. The supportive lectures are part of lab exercises and attendance is compulsory.

The students learn about modern methods and instruments used in analytical chemistry based on interaction between chemical- and physical properties of the substances and the electromagnetic field. Chromatographic methods used to separate mixtures into single pure compounds will be introduced.  The focus of the course is the analysis of organic compounds.

Laboratory work: Fluorimetry, atomic absorption, spectrophotometry and applications of IR, UV and visible and NMR spectroscopy. Gas- and liquid (HPLC) chromatography. Gas chromatography/mass spectrometry (GC/MS).

Objectives: This course is to provide the students an overview of treatment and reutilization technology in wastewater engineering, air pollution control engineering, and solid & hazardous waste engineering.

Topics: In this course, three major topics are covered:

(1) Treatment and reutilization technology in wastewater engineering, including wastewater and storm water systems; physical, chemical, and biological wastewater treatment unit processes; industrial wastewater treatment; advanced wastewater treatment and reclamation technology; sludge treatment and disposal technology

(2) Treatment and reutilization technology in air pollution control engineering, including techniques for air pollution measurements; sulphur oxides and nitrogen oxides abatement techniques; VOCs and HCs abatement techniques; particulate matters abatement techniques; Control technique of mobile source pollutants.

(3) Treatment and reutilization technology in solid & hazardous waste engineering, including waste minimization and processing,    biochemical waste conversion, thermal waste transformation, waste disposal, hazardous waste treatment and reuse.

Teaching: Lectures (teaching lecture, tutorial lecture, lab lecture), homework, and a mini-research project. Lectures introduce the fundamentals and advances of treatment and reutilization technology in environmental engineering (focusing on wastewater, air, and solid waste). Homework is assigned to help students review the lecture contents and practice technical calculation questions. Tutorial lectures are provided to discuss solutions of homework assignments with students. Lab lecture is performed in the research lab to demonstrate selected treatment processes and allow students hands-on practice. In the project, students review literatures of a selected topic relating to advanced treatment technology, write a report, and give an oral presentation.

The course is suitable for students specializing in Civil or Environmental Engineering, Chemical Engineering, other engineering fields, Environment and Natural Resources, Life and Environmental Science.

Students are given the opportunity to conduct a special topic in chemistry or chemical engineering under the guidance of a faculty member or industrial supervisor. The work is completed with a short thesis which is graded by the faculty member in charge and an additional faculty member.

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.

The main purpose of this course is to teach the principles of chemical structure and bonding. The main focus will be on using symmetry and group theory in constructing molecular orbitals for simple molecules and ions. VSEPR and VB methods will also be used to study bonding and structure of molecules. The crystalline solid state, formulas, structures and properties. Each students performance in two interm exams will count as 20% of the final grade. The assignments will count as 5% of the final grade

Methods for calculating and predicting properties of matter and the rate of transitions. Students will learn to use software for setting up and carrying out calculations of various organic and inorganic compounds and to interpret
the results for deeper insight and understanding of chemistry. Among the methods that will be introduced for calculating electron distribution are Hartree-Fock, density functional theory and perturbation theory (MP2). The compromises that need to be made in choosing basis sets and level of theory will be discussed.  Among methods used to calculate structure of molecules and movement of atoms are minimization techniques, classical dynamics, vibrational mode analysis, Monte Carlo and transition state theory.  The coursework includes laboratory exercises  involving computer calculations.

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.

The objective of the course is that students get the skills to:

1.    Understand the main concepts in accounting, cost theory and investment theory.

2.    Be able to use methods of measuring the economic feasibility of technical projects.

3.    Be able to develop computer models to assess the profitability of investments, the value of companies and pricing of bonds

Among topics included are accounting, cost theory, cash flow analysis, investment theory, measures of profitability including net present value and internal rate of return, and the building of profitability models. The course ends with a group assignment where the students exercise the development of computer models for feasibility assessment of projects.

The course is an introductory course in project management. It introduces key concepts of project management and covers context and selection of projects, project planning, project monitoring, management of project teams, and project closure. Students create and execute project plans in groups. Special emphasis is on using of project management for managing technological innovation in organizations.

A thorough treatment of the fundamentals of biochemistry - part one; structure and function of macromolecules. The scope of biochemistry. Water and its properties. Interactions in biomolecules. Amino acids, peptides and the structure of proteins. Protein function.  Protein stability, folding, and dynamics related to function. Carbohydrates and glycobiology. Lipids, membranes and membrane proteins. Enzyme kinetics, regulation of enzyme activity, and mechanisms of enzyme catalysis. Signal transduction and membrane receptors. Structure of nucleic acids, stability, and basic recombinant technology. Final grade is combined from the final exam (85% ) and a midterm exam (15%).

Lectures:
Twice weekly (2 x 40 min.) Probelm solving class (2 x 40 min.) weekly.

Course evaluation:
Final exam (3 hours): 85% of final grade.
Midterm: 15% of final grade.

Textbook:
Nelson D.L. & Cox M.M. Lehninger: Principles of Biochemistry, 8th Edition, 2021

The cell biology part includes four lectures each week for 14 weeks (4L week for 14 weeks). The content includes: Introduction to cell biology, structure and evolution of eukaryotic cells. The main emphasis is on eukaryotic cells. Chemistry of the cell and energy conversion, structure and function of cellular macromolecules. The structure and function of cellular organs and functional units like the cell membrane, nucleus, mitochondria, chloroplasts, cytoskeleton, golgi-system, lysosomes and peroxisomes. Intracellular regulation and signal pathways linked to communication between cells, together with cell differentiation and cancer. Details on extracellular matrix are included and basic immunology.

This course introduces biotechnology-based applications of microbes and their enzymes. The first part provides fundamental microbiology such as the classification of microorganisms, their structure, metabolism, growth and functional characteristics, handling and identification. The content of the first part will be emphasized with practical sessions, discussions and written assignments and is the foundation for more specific topics.

The second part will introduce different fields of microbial biotechnology and how they have been shaped by recent progress in microbiology, molecular biology and biochemistry. State of the art will be covered regarding subjects such as microbial diversity as a resource of enzymes and biocompounds; bioprospecting, thermophiles, marine microbes and microalgae, biorefineries (emphasis on seaweed and lignocellulose), enzymes (emphasis on carbohydrate active enzymes), metabolic engineering (genetic engineering, omics), energy-biotechnology, cultivation and fermentation technology. The course will exemplify Icelandic biotechnology where applicable. The subject will be presented in lectures and students will be trained in reading original research papers on selected topics in the field; Cultivation/production technology and yeast will be presented specifically in practical sessions in the brewing of beer.

This course is partly taught in parallel with Microbiology II (LÍF533M) and intended for students that have neither completed Microbiology (LÍF201G) nor a similar course. Students must complete the first part of the course before participating in the latter. The number of participants might be restricted.

Additional teaching one saturday in end of September or beginning of October.

The class goal is to introduce students to the interdisciplinary field of environmental engineering. The class studies the causes and concerns of environmental problems and provides analytical tools to assess and control them. Topics include: Global and local environmental issues, mass transfer theory, environmental chemistry, risk assessments, water pollution, water and wastewater treatment, air pollution, solid waste management, global warming and united nations sustainable development goals.

Lectures and recitations will be conducted in Icelandic. Written materials (class notes, homeworks and textbook) are in English. Students perform a group research project which involves data collection in the field, oral presentation and report writing. 

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.

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.

The objective of the course is to teach the fundamental principles of materials science so the student can better understand material behavior and select appropriate materials for a given application. Theoretical basis is given for the understanding of material behaviour from a microscopic view. The course includes the following topics: crystalline structures, imperfections, diffusion, mechanical properties, deformation and strengthening mechanisms, fracture and fatique, phase diagrams, phase transformations, thermal processing of metal alloys, types of materials (metal alloys, polymers, ceramics, composites), corrosion and degradation of of materials. The course includes homework problems and practical classes in laboratory.

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.

Students are given the opportunity to conduct a special topic in chemistry or chemical engineering under the guidance of a faculty member or industrial supervisor for 6, 8, 12 or 15 ECTS. The work is completed with a short thesis which is graded by the faculty member in charge and an additional faculty member.

Project submission information
Submissions are in May for the graduation in June
Submissions are in September for the graduation in October
Submissions are in January for the graduation in February

At the beginning of the semester, the student and supervisor come up with a timeline for the submission of assignments.

Submission of a completed project to the supervisor / supervisor is on the 10th of May / September / January

Students' submissions to Skemma are no later than 30th of May / September / January and a confirmation of approved submission must be sent to nemvon@hi.is

The grade from the supervisor must have been received by the office no later than 30th of May / September / January

Integrated circuits, history and future trends. Solid state electronics, the MOS-transistor and CMOS. Integrated circuit fabrication, crystal growth, oxidation, doping, diffusion, ion implantation, lithography, deposition and etching of thin fi ms, microelectromechanical systems (MEMS).

Goal: Enable the students to: 1: Study thermodynamics from the viewpoint of the second law of thermodynamics 2. Understand standard power cycles, and their use for analysis of power plants 3. Understand air conditioning systems and their necessity 4. Understand thermochemistry and be able to estimate heat release through combustion. Content: Work, heat and energy conversion. Exergy and anergy. Energy, energy price and energy quality. Standard power and refrigeration cycles. Steam power cycles, geothermal utilization. Gas mixtures, moist air, ventilation and air purifiers. The Mollier i-x chart. Thermochemistry, combustion and reactions, chemical equilibrium. New energy systems. Exercises, design project.

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.

Lectures: Summary of the chemistry of the main group elements. Coordination chemistry of the transition metals with main emphasis on bonding, structures, magnetic properties and electronic spectra. Each students performance in two interm exams will count as 25% of the final grade.

Laboratory work: Synthesis and analytical organic chemistry.

The course deals with the determination of the structure, energy levels, and reaction dynamics of molecules using the spectra resulting from the interaction between electromagnetic radiation and matter. The fundamentals of quantum mechanics applied to molecular spectra as well as experimental aspects of modern spectroscopic methods will be covered. The focus is on rotational and vibrational spectroscopies, electronic spectroscopy including time-resolved and single-molecule techniques, nuclear magnetic resonance, and electron paramagnetic resonance. The course involves weekly assignments and visits to experimental labs.

In this course, the main metabolic processes of cells are studied, with a focus on carbohydrate, fat, and protein metabolism, as well as the metabolic regulation of these processes. The course begins with a detailed examination of carbohydrate metabolism, including glycolysis (both aerobic and anaerobic), the citric acid cycle, and the pentose phosphate pathway. Then we continue into pathways such as gluconeogenesis, glycogen breakdown, and then into how carbohydrate metabolism is regulated.

Next, the focus shifts to fat metabolism, where the breakdown of triglycerides, fatty acid oxidation, and fatty acid synthesis are explained. Special emphasis is placed on the regulation of fat metabolism and the control of enzymes involved in these processes. Following this, protein metabolism is addressed, where protein hydrolysis, amino acid degradation, and the urea cycle are studied.

The course also covers the integration and regulation of metabolic pathways, with a focus on the complex regulation that occurs in the key steps of these pathways, considering both intracellular signals and hormones. It examines how these processes adapt to various conditions to maintain homeostasis and the effects of disruptions in their regulation. Lastly, photosynthesis and the Calvin cycle are covered.

This course is highly beneficial for those seeking an in-depth understanding of biochemical processes and the biochemistry of the human body.

Lectures are held twice a week (2 x 40 minutes) over 13-14 weeks. 

This course focuses on methodology and recent innovations in biochemistry, emphasizing both analytical and computational techniques. It is divided into several modules, each taught by experts in their respective fields. While lectures form the core of the material, additional resources such as articles or book chapters may be assigned when appropriate. Practical demonstrations of research equipment may also be included. Students are expected to submit several written assignments throughout the semester.

The course will explore recent research in various specialized areas of biochemistry, and the content of the modules is regularly updated.

Topics covered may include single-molecule spectroscopy, protein mass spectrometry, structural biochemistry, binding affinity and thermodynamics, enzymology, and computational biochemistry.

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.

This is an extension of the course "Probability and Statistics" STÆ203G. The basic concepts of probability are considered in more detail with emphasis on definitions and proofs. The course is a preparation for the two M-courses in probability and the two M-courses in statistics that are taught alternately every other year.

Topics beyond those discussed in the probability part of STÆ203G:

Kolmogorov's definition. Proofs of propositions on compound events and conditional probability. Proofs for discrete and continuous variables of propositions on expectation, variance, covariance, correlation, and conditional expectation and variance. Proofs of propositions for Bernoulli, binomial, Poisson, geometric, uniform, exponential, and gamma variables. Proof of the tail-summing proposition for expectation and the application to the geometric variable. Proof of the proposition on memoryless and exponential variables. Derivation of the distribution of sums of independent variables such as binomial, Poisson, normal, and gamma variables. Probability and moment generating functions.

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.

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.

Concepts, units, scales and dimensions. Vectors. Kinematics of particles. Particle dynamics, inertia, forces and Newton's laws. Friction. Work and energy, conservation of energy. Momentum, collisions. Systems of particles, center of mass. Rotation of a rigid body. Angular momentum and moment of inertia. Statics. Gravity. Solids and fluids, Bernoulli's equation. Oscillations: Simple, damped and forced. Waves. Sound. Temperature. Ideal gas. Heat and the first law of thermodynamics. Kinetic theory of gases. Entropy and the second law of thermodynamics. Home problems: Once a week the students have to solve homeproblems on the website MasteringPhysics.

Laboratory work: Three exercises, mainly centered on mechanics, where students are trained in handling physical instruments, collecting and inspecting data. Students hand in their lab notebooks for a grade.

Note that the textbook is accessible to students via Canvas free of charge.

The basis of the atomic theory. Stoichiometry. Types of chemical reactions and solution stoichiometry. Properties of gases. Chemical equilibrium. Acids and bases. Applications of aqueous equilibria. Chemical thermodynamics. Enthropy, free energy and equilibrium. Electrochemistry. Chemical kinetics. Physical properties of solutions.

Molar volume of gases, thermochemistry, reaction enthalpies and Hesse's law, Rate of chemical reactions, decomposition of hydrogen peroxide, reaction reversibility and Le Chatelier's principle, determination of acid ionization constant with potentiometric titration, determination of equilibrium constant with absorbtion measurements.

This is a foundational course in single variable calculus. The prerequisites are high school courses on algebra, trigonometry. derivatives, and integrals. The course aims to create a foundation for understanding of subjects such as natural and physical sciences, engineering, economics, and computer science. Topics of the course include the following:

• Real numbers.
• Limits and continuous functions.
• Differentiable functions, rules for derivatives, derivatives of higher order, applications of differential calculus (extremal value problems, linear approximation).
• Transcendental functions.
• Mean value theorem, theorems of l'Hôpital and Taylor.
• Integration, the definite integral and rules/techniques of integration, primitives, improper integrals.
• Fundamental theorem of calculus.
• Applications of integral calculus: Arc length, area, volume, centroids.
• Ordinary differential equations: First-order separable and homogeneous differential equations, first-order linear equations, second-order linear equations with constant coefficients.
• Sequences and series, convergence tests.
• Power series, Taylor series.

Basics of linear algebra over the reals.  

Subject matter: Systems of linear equations, matrices, Gauss-Jordan reduction.  Vector spaces and their subspaces.  Linearly independent sets, bases and dimension.  Linear maps, range space and nullk space.  The dot product, length and angle measures.  Volumes in higher dimension and the cross product in threedimensional space.  Flats, parametric descriptions and descriptions by equations.  Orthogonal projections and orthonormal bases.  Gram-Schmidt orthogonalization.  Determinants and inverses of matrices.  Eigenvalues, eigenvectors and diagonalization.

Programming in Python (for computations in engineering and science): Main commands and statements (computations, control statements, in- and output), definition and execution of functions, datatypes (numbers, matrices, strings, logical values, records), operations and built-in functions, array and matrix computation, file processing, statistics, graphics. Object-oriented programming: classes, objects, constructors and methods. Concepts associated with design and construction of program systems: Programming environment and practices, design and documentation of function and subroutine libraries, debugging and testing of programmes.

In this course, several energy and production processes and their technology in the Icelandic economy will be covered: aluminum production, silicon iron production, gas and composting from organic waste, paint, rock wool, fish oil and methanol production, etc.  New and environmentally friendly production processes that can possibly replace older production processes in the future will also be examined.

The course is taught together with EÐL201G. The class is given for 8 weeks (spread over 11 week period).Topics: Charge and electric field. Gauss' law. Electric potential. Capacitors and dielectrics. Electric currents and resistance. Magnetic fields. The laws of Ampère and Faraday. Induction. Maxwell's equations. Electromagnetic waves. Reflection and refraction. Lenses and mirrors. Wave optics. Two laboratory exercises in optics.

This course focuses on the structure of the periodic table and properties of the elements based on their place in the periodic table. The students learn about the naturally occurring forms of the elements, isolation of the elements and common chemical reactions. Atomic theory is taught as a base for understanding the properties of the elements and their reactivity. Early theories of the structure of the hydrogen atome put forward by Bohr and their development to modern view of the atom structure are covered. The electronic structure of the atom is described, and theories describing formation of chemical bonds such as valence bond theory, VSEPR, and molecular orbital theory are used to determine structures and predict reactivity of molecules. Processes for purification of metals from their naturally occurring ores is covered as well as properties of metalloids and nonmetals. The transition metal elements, and the formation of coordination compounds with solubility, equilibria, ions and electron pair donors will be introduced. Radioactivity, formation and types of radioactive species, reactions and their applications will be introduced.

The course contains independent, individual exercises in qualitative analyses. The student will conduct analyses of cations from the first, second, third and fourth group as well as selected anions. Supporting lectures accompany the laboratory work.

In the first half of the course, students will analyze prepared aqueous solutions of unknown compositions. In the second half the student will analyze unknown metallic alloys and salt compositions.

The student will keep a laboratory workbook during the whole course and hand it in for evaluation at the end of every exercise section.

The final grade is composed of the teacher’s grade for performance, the grade for the laboratory workbook and the grade for a short oral examination at the end of the course.

Book: Qualitative Analysis and the Property of Ions in aqueous solutions, 2. Ed., by Slowinski and Masterton.

Introduction to processes and material and energy balance calculations applied to industrial processes. Analysis of gas behavior, gas-liquid systems, and phase equilibrium. Material balances, including reaction systems and multiple-unit systems. Energy balances, including reaction systems and multiple-unit systems, and combined energy-material balances.

Open and closed sets. Mappings, limits and continuity. Differentiable mappings, partial derivatives and the chain rule. Jacobi matrices. Gradients and directional derivatives. Mixed partial derivatives. Curves. Vector fields and flow. Cylindrical and spherical coordinates. Taylor polynomials. Extreme values and the classification of stationary points. Extreme value problems with constraints. Implicit functions and local inverses. Line integrals, primitive functions and exact differential equations. Double integrals. Improper integrals. Green's theorem. Simply connected domains. Change of variables in double integrals. Multiple integrals. Change of variables in multiple integrals. Surface integrals. Integration of vector fields. The theorems of Stokes and Gauss.

Continuation of EVF401G. Methods in precessor course to solve simple or actual problems/subjects in single or few unit operation.  Thermodynamics with and without chemical reactions, use of simulators and softwares.  Energy processes (Carnor cycles, work cycles, cooling cycles) in chemical industry, separation analysis with McCabe-Tiele method, steady state and transient processes, safety in chemical industry, process control and models in chemical industry.

Energy balances for chemical processes that include mixing, phase change and reactions. Classical equilibrium thermodynamics with an emphasis on the use of thermodynamic data to predict reaction equilibrium and optimize selectivity and yield. The use of thermodynamic data and theory to predict vapor-liquid equilibrium for both ideal and non-ideal systems.

Goal: This course covers the basics of quantum chemistry. Additionally, a few simple electrochemical cells will be introduced. 

Course content:  The Schrödinger equation, wave functions and their interpretation, uncertainity principle, particle in a box, excitation with photons, harmonic oscillator, vibration of molecules, hydrogen atom, atoms with many electrons, orbitals, molecules and chemical bonds, Hartree-Fock approximation and methods for correcting it using variational calculations or perturbation calculations. Simple electrochemical cells.

The aim of this course is offer insights into the analysis and design of technical systems, i.e. systems that use energy, material and information to fulfill given goals. The following topics will be covered in the course:

1) Simple electrical circuits and their use to measure physical properties, such as position, pressure, temperature, and flow.

2) Simple actuators and their use for movement and control of mechanical systems.

3) The basics of automatic control and the use of feedback.

4) The use of microcontrollers for measurement and control of simple technical systems.

5) The process of designing technical systems, including requirements, analysis, implementation, testing, and improvements.

Functions of a complex variable. Analytic functions. The exponential function, logarithms and roots. Cauchy's Integral Theorem and Cauchy's Integral Formula. Uniform convergence. Power series. Laurent series. Residue integration method. Application of complex function theory to fluid flows. Ordinary differential equations and systems of ordinary differential equations. Linear differential equations with constant coefficients. Systems of linear differential equations. The matrix exponential function. Various methods for obtaining a particular solution. Green's functions for initial value problems. Flows and the phase plane. Nonlinear systems of ordinary differential equations in the plane, equilibrium points, stability and linear approximations. Series solutions and the method of Frobenius. Use of Laplace transforms in solving differential equations.

Basic principles of organic chemistry with special reference to the medical disciplines. All main classes of organic compounds from alkanes to amines are covered together with their major reaction mechanisms. Structure and chemistry of biological compounds such as carbohydrates, lipids, amino acids and proteins with special reference to biochemistry, enzyme catalysed reaction and medicine in general.

Students will be trained in the laboratory work needed in the organic lab. Organic compounds will be synthesized with addition, alkylation and aldol condensation. The idendtification of organic compounds will be performed with the help of derivatives and TLC.

The major equipment of chemical process plants is called "unit operastions" and consists mainly of three types. Firstly, there are reactors. Secondly separation equipment. Thirdly heat exchangers and boilers. This course covers the main examples of separation equipment used in industry. Heat exchangers will also be treated. The operating principles and modeling of every equipment type will be introduced. Students will simulate every equipment type in the process simulator Aspen. 

This course will also introduce students to process simulation software. For this purpose, it is highly recommended that every student have a Windows laptop or a Macintosh with virtual Windows installed.

Basic concepts in probability and statistics based on univariate calculus. 

Topics: 
Sample space, events, probability, equal probability, independent events, conditional probability, Bayes rule, random variables, distribution, density, joint distribution, independent random variables, condistional distribution, mean, variance, covariance, correlation, law of large numbers, Bernoulli, binomial, Poisson, uniform, exponential and normal random variables. Central limit theorem. Poisson process. Random sample, statistics, the distribution of the sample mean and the sample variance. Point estimate, maximum likelihood estimator, mean square error, bias. Interval estimates and hypotheses testing form normal, binomial and exponential samples. Simple linear regression. Goodness of fit tests, test of independence.

Fundamental concepts on approximation and error estimates. Solutions of systems of linear and non-linear equations. PLU decomposition. Interpolating polynomials, spline interpolation and regression. Numerical differentiation and integration. Extrapolation. Numerical solutions of initial value problems of systems of ordinary differential equations. Multistep methods. Numerical solutions to boundary value problems for ordinary differential equations.

Grades are given for programning projects and in total they amount to 30% of the final grade. The student has to receive the minimum grade of 5 for both the projects and the final exam.

Heat conduction, one and two dimensional systems, steady and unsteady heat conduction, numerical analysis of heat conduction systems. Fins and enlarged heat transfer surfaces. Heat transfer by convection, laminar and turbulent flow. Free and forced convection. Evaporation and condensation. Thermal radiation, Stefan-Boltzmann's and Planck's laws. Thermal radiation properties of materials. Shape factors, radiative heat exchange between surfaces, radiation properties of gases. Heat exchangers and their design. Special topics in heat transfer.

The objective of the course is that students get the skills to:

1.    Understand the main concepts in accounting, cost theory and investment theory.

2.    Be able to use methods of measuring the economic feasibility of technical projects.

3.    Be able to develop computer models to assess the profitability of investments, the value of companies and pricing of bonds

Among topics included are accounting, cost theory, cash flow analysis, investment theory, measures of profitability including net present value and internal rate of return, and the building of profitability models. The course ends with a group assignment where the students exercise the development of computer models for feasibility assessment of projects.

The class goal is to introduce students to the interdisciplinary field of environmental engineering. The class studies the causes and concerns of environmental problems and provides analytical tools to assess and control them. Topics include: Global and local environmental issues, mass transfer theory, environmental chemistry, risk assessments, water pollution, water and wastewater treatment, air pollution, solid waste management, global warming and united nations sustainable development goals.

Lectures and recitations will be conducted in Icelandic. Written materials (class notes, homeworks and textbook) are in English. Students perform a group research project which involves data collection in the field, oral presentation and report writing. 

Methods of classical automatic control systems. System models represented by transfer functions and state equations, simulation. System time and frequency responses. Properties of feedback control systems, stability, sensitivity, disturbance rejection, error coefficients. Stability analysis, Routh's stability criterion. Analysis and design using root-locus, lead, lag and PID controllers. Analysis and design in the frequency domain, lead, lag and PID compensators. Computer controlled systems, A/D and D/A converters, transformations of continuous controllers to discrete form. Analysis and design of digital control systems.

Basic principles and mathematical methods in thermodynamics,
laws of thermodynamics, state functions, Maxwell relations, equilibrium, phase transitions, quantum statistical mechanics, ideal and real gases, specific heat, rate theory.

Properties of liquids and gases. Pressure and force fields in liquids at rest, pressure gauges. Equations of motion, continuity, momentum and energy. Bernoulli equation of motion. Dimensional analysis and dynamic similarity. Two dimensional flow, non-viscous fluids, boundary layers theory, laminar and turbulent flow, fluid friction and form drag. Flow of compressible fluids, velocity of sound. Mach number, sound waves, nozzle shape for supersonic speed. Open channel flow. Several experiments are conducted.

Presentations on study and career options in Chemical Engineering and related fields are given by the instructors and invited speakers. The seminar will explore career options, MS degree options in Europe, the USA and elsewhere for students after completing their BS in Chemical Engineering.

Attendance is compulsory. A minimum of 4 lectures must be attended to complete the course.

A systematic introduction to the use of process simulators (like Aspen) to model, design and optimize chemical manufacturing processes. The selection, optimization and combination of reactors, separation equipment and heat exchangers. An introduction to the concepts and principles of project economics.

Design of chemical reactors for economical processes and waste minimization. Contacting patterns, kinetics and transport rate effects in single phase and catalytic systems. Another goal of the course is to introduce the fundamentals of mass transfer in chemical engineering such as the mass transfer theory and how to set up differential equations and solve them for such systems.

The purpose of the course is to train an engineering approach to experiments and experimental thinking. Experiments are designed, carried out, data collected and processed using statistical methods. Finally, it discussed how conclusions can be drawn from data / information when using experiments in for example product design and the design and operation of production systems.

Course material: Linear and non-linear regression analysis. Analysis of Variances (ANOVA). Design of experiments. Statistical quality control. Non-parametric tests that can be used in data processing. Use of statistical programs when solving tasks.

The course is a practical course with weekly supportive lectures.  The lectures provide heroretical background of the instrumental methods and the instruments. The supportive lectures are part of lab exercises and attendance is compulsory.

The students learn about modern methods and instruments used in analytical chemistry based on interaction between chemical- and physical properties of the substances and the electromagnetic field. Chromatographic methods used to separate mixtures into single pure compounds will be introduced.  The focus of the course is the analysis of organic compounds.

Laboratory work: Fluorimetry, atomic absorption, spectrophotometry and applications of IR, UV and visible and NMR spectroscopy. Gas- and liquid (HPLC) chromatography. Gas chromatography/mass spectrometry (GC/MS).

Objectives: This course is to provide the students an overview of treatment and reutilization technology in wastewater engineering, air pollution control engineering, and solid & hazardous waste engineering.

Topics: In this course, three major topics are covered:

(1) Treatment and reutilization technology in wastewater engineering, including wastewater and storm water systems; physical, chemical, and biological wastewater treatment unit processes; industrial wastewater treatment; advanced wastewater treatment and reclamation technology; sludge treatment and disposal technology

(2) Treatment and reutilization technology in air pollution control engineering, including techniques for air pollution measurements; sulphur oxides and nitrogen oxides abatement techniques; VOCs and HCs abatement techniques; particulate matters abatement techniques; Control technique of mobile source pollutants.

(3) Treatment and reutilization technology in solid & hazardous waste engineering, including waste minimization and processing,    biochemical waste conversion, thermal waste transformation, waste disposal, hazardous waste treatment and reuse.

Teaching: Lectures (teaching lecture, tutorial lecture, lab lecture), homework, and a mini-research project. Lectures introduce the fundamentals and advances of treatment and reutilization technology in environmental engineering (focusing on wastewater, air, and solid waste). Homework is assigned to help students review the lecture contents and practice technical calculation questions. Tutorial lectures are provided to discuss solutions of homework assignments with students. Lab lecture is performed in the research lab to demonstrate selected treatment processes and allow students hands-on practice. In the project, students review literatures of a selected topic relating to advanced treatment technology, write a report, and give an oral presentation.

The course is suitable for students specializing in Civil or Environmental Engineering, Chemical Engineering, other engineering fields, Environment and Natural Resources, Life and Environmental Science.

Students are given the opportunity to conduct a special topic in chemistry or chemical engineering under the guidance of a faculty member or industrial supervisor. The work is completed with a short thesis which is graded by the faculty member in charge and an additional faculty member.

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.

The main purpose of this course is to teach the principles of chemical structure and bonding. The main focus will be on using symmetry and group theory in constructing molecular orbitals for simple molecules and ions. VSEPR and VB methods will also be used to study bonding and structure of molecules. The crystalline solid state, formulas, structures and properties. Each students performance in two interm exams will count as 20% of the final grade. The assignments will count as 5% of the final grade

Methods for calculating and predicting properties of matter and the rate of transitions. Students will learn to use software for setting up and carrying out calculations of various organic and inorganic compounds and to interpret
the results for deeper insight and understanding of chemistry. Among the methods that will be introduced for calculating electron distribution are Hartree-Fock, density functional theory and perturbation theory (MP2). The compromises that need to be made in choosing basis sets and level of theory will be discussed.  Among methods used to calculate structure of molecules and movement of atoms are minimization techniques, classical dynamics, vibrational mode analysis, Monte Carlo and transition state theory.  The coursework includes laboratory exercises  involving computer calculations.

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.

The objective of the course is that students get the skills to:

1.    Understand the main concepts in accounting, cost theory and investment theory.

2.    Be able to use methods of measuring the economic feasibility of technical projects.

3.    Be able to develop computer models to assess the profitability of investments, the value of companies and pricing of bonds

Among topics included are accounting, cost theory, cash flow analysis, investment theory, measures of profitability including net present value and internal rate of return, and the building of profitability models. The course ends with a group assignment where the students exercise the development of computer models for feasibility assessment of projects.

The course is an introductory course in project management. It introduces key concepts of project management and covers context and selection of projects, project planning, project monitoring, management of project teams, and project closure. Students create and execute project plans in groups. Special emphasis is on using of project management for managing technological innovation in organizations.

A thorough treatment of the fundamentals of biochemistry - part one; structure and function of macromolecules. The scope of biochemistry. Water and its properties. Interactions in biomolecules. Amino acids, peptides and the structure of proteins. Protein function.  Protein stability, folding, and dynamics related to function. Carbohydrates and glycobiology. Lipids, membranes and membrane proteins. Enzyme kinetics, regulation of enzyme activity, and mechanisms of enzyme catalysis. Signal transduction and membrane receptors. Structure of nucleic acids, stability, and basic recombinant technology. Final grade is combined from the final exam (85% ) and a midterm exam (15%).

Lectures:
Twice weekly (2 x 40 min.) Probelm solving class (2 x 40 min.) weekly.

Course evaluation:
Final exam (3 hours): 85% of final grade.
Midterm: 15% of final grade.

Textbook:
Nelson D.L. & Cox M.M. Lehninger: Principles of Biochemistry, 8th Edition, 2021

The cell biology part includes four lectures each week for 14 weeks (4L week for 14 weeks). The content includes: Introduction to cell biology, structure and evolution of eukaryotic cells. The main emphasis is on eukaryotic cells. Chemistry of the cell and energy conversion, structure and function of cellular macromolecules. The structure and function of cellular organs and functional units like the cell membrane, nucleus, mitochondria, chloroplasts, cytoskeleton, golgi-system, lysosomes and peroxisomes. Intracellular regulation and signal pathways linked to communication between cells, together with cell differentiation and cancer. Details on extracellular matrix are included and basic immunology.

This course introduces biotechnology-based applications of microbes and their enzymes. The first part provides fundamental microbiology such as the classification of microorganisms, their structure, metabolism, growth and functional characteristics, handling and identification. The content of the first part will be emphasized with practical sessions, discussions and written assignments and is the foundation for more specific topics.

The second part will introduce different fields of microbial biotechnology and how they have been shaped by recent progress in microbiology, molecular biology and biochemistry. State of the art will be covered regarding subjects such as microbial diversity as a resource of enzymes and biocompounds; bioprospecting, thermophiles, marine microbes and microalgae, biorefineries (emphasis on seaweed and lignocellulose), enzymes (emphasis on carbohydrate active enzymes), metabolic engineering (genetic engineering, omics), energy-biotechnology, cultivation and fermentation technology. The course will exemplify Icelandic biotechnology where applicable. The subject will be presented in lectures and students will be trained in reading original research papers on selected topics in the field; Cultivation/production technology and yeast will be presented specifically in practical sessions in the brewing of beer.

This course is partly taught in parallel with Microbiology II (LÍF533M) and intended for students that have neither completed Microbiology (LÍF201G) nor a similar course. Students must complete the first part of the course before participating in the latter. The number of participants might be restricted.

Additional teaching one saturday in end of September or beginning of October.

The class goal is to introduce students to the interdisciplinary field of environmental engineering. The class studies the causes and concerns of environmental problems and provides analytical tools to assess and control them. Topics include: Global and local environmental issues, mass transfer theory, environmental chemistry, risk assessments, water pollution, water and wastewater treatment, air pollution, solid waste management, global warming and united nations sustainable development goals.

Lectures and recitations will be conducted in Icelandic. Written materials (class notes, homeworks and textbook) are in English. Students perform a group research project which involves data collection in the field, oral presentation and report writing. 

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.

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.

The objective of the course is to teach the fundamental principles of materials science so the student can better understand material behavior and select appropriate materials for a given application. Theoretical basis is given for the understanding of material behaviour from a microscopic view. The course includes the following topics: crystalline structures, imperfections, diffusion, mechanical properties, deformation and strengthening mechanisms, fracture and fatique, phase diagrams, phase transformations, thermal processing of metal alloys, types of materials (metal alloys, polymers, ceramics, composites), corrosion and degradation of of materials. The course includes homework problems and practical classes in laboratory.

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.

Students are given the opportunity to conduct a special topic in chemistry or chemical engineering under the guidance of a faculty member or industrial supervisor for 6, 8, 12 or 15 ECTS. The work is completed with a short thesis which is graded by the faculty member in charge and an additional faculty member.

Project submission information
Submissions are in May for the graduation in June
Submissions are in September for the graduation in October
Submissions are in January for the graduation in February

At the beginning of the semester, the student and supervisor come up with a timeline for the submission of assignments.

Submission of a completed project to the supervisor / supervisor is on the 10th of May / September / January

Students' submissions to Skemma are no later than 30th of May / September / January and a confirmation of approved submission must be sent to nemvon@hi.is

The grade from the supervisor must have been received by the office no later than 30th of May / September / January

Integrated circuits, history and future trends. Solid state electronics, the MOS-transistor and CMOS. Integrated circuit fabrication, crystal growth, oxidation, doping, diffusion, ion implantation, lithography, deposition and etching of thin fi ms, microelectromechanical systems (MEMS).

Goal: Enable the students to: 1: Study thermodynamics from the viewpoint of the second law of thermodynamics 2. Understand standard power cycles, and their use for analysis of power plants 3. Understand air conditioning systems and their necessity 4. Understand thermochemistry and be able to estimate heat release through combustion. Content: Work, heat and energy conversion. Exergy and anergy. Energy, energy price and energy quality. Standard power and refrigeration cycles. Steam power cycles, geothermal utilization. Gas mixtures, moist air, ventilation and air purifiers. The Mollier i-x chart. Thermochemistry, combustion and reactions, chemical equilibrium. New energy systems. Exercises, design project.

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.

Lectures: Summary of the chemistry of the main group elements. Coordination chemistry of the transition metals with main emphasis on bonding, structures, magnetic properties and electronic spectra. Each students performance in two interm exams will count as 25% of the final grade.

Laboratory work: Synthesis and analytical organic chemistry.

The course deals with the determination of the structure, energy levels, and reaction dynamics of molecules using the spectra resulting from the interaction between electromagnetic radiation and matter. The fundamentals of quantum mechanics applied to molecular spectra as well as experimental aspects of modern spectroscopic methods will be covered. The focus is on rotational and vibrational spectroscopies, electronic spectroscopy including time-resolved and single-molecule techniques, nuclear magnetic resonance, and electron paramagnetic resonance. The course involves weekly assignments and visits to experimental labs.

In this course, the main metabolic processes of cells are studied, with a focus on carbohydrate, fat, and protein metabolism, as well as the metabolic regulation of these processes. The course begins with a detailed examination of carbohydrate metabolism, including glycolysis (both aerobic and anaerobic), the citric acid cycle, and the pentose phosphate pathway. Then we continue into pathways such as gluconeogenesis, glycogen breakdown, and then into how carbohydrate metabolism is regulated.

Next, the focus shifts to fat metabolism, where the breakdown of triglycerides, fatty acid oxidation, and fatty acid synthesis are explained. Special emphasis is placed on the regulation of fat metabolism and the control of enzymes involved in these processes. Following this, protein metabolism is addressed, where protein hydrolysis, amino acid degradation, and the urea cycle are studied.

The course also covers the integration and regulation of metabolic pathways, with a focus on the complex regulation that occurs in the key steps of these pathways, considering both intracellular signals and hormones. It examines how these processes adapt to various conditions to maintain homeostasis and the effects of disruptions in their regulation. Lastly, photosynthesis and the Calvin cycle are covered.

This course is highly beneficial for those seeking an in-depth understanding of biochemical processes and the biochemistry of the human body.

Lectures are held twice a week (2 x 40 minutes) over 13-14 weeks. 

This course focuses on methodology and recent innovations in biochemistry, emphasizing both analytical and computational techniques. It is divided into several modules, each taught by experts in their respective fields. While lectures form the core of the material, additional resources such as articles or book chapters may be assigned when appropriate. Practical demonstrations of research equipment may also be included. Students are expected to submit several written assignments throughout the semester.

The course will explore recent research in various specialized areas of biochemistry, and the content of the modules is regularly updated.

Topics covered may include single-molecule spectroscopy, protein mass spectrometry, structural biochemistry, binding affinity and thermodynamics, enzymology, and computational biochemistry.

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.

This is an extension of the course "Probability and Statistics" STÆ203G. The basic concepts of probability are considered in more detail with emphasis on definitions and proofs. The course is a preparation for the two M-courses in probability and the two M-courses in statistics that are taught alternately every other year.

Topics beyond those discussed in the probability part of STÆ203G:

Kolmogorov's definition. Proofs of propositions on compound events and conditional probability. Proofs for discrete and continuous variables of propositions on expectation, variance, covariance, correlation, and conditional expectation and variance. Proofs of propositions for Bernoulli, binomial, Poisson, geometric, uniform, exponential, and gamma variables. Proof of the tail-summing proposition for expectation and the application to the geometric variable. Proof of the proposition on memoryless and exponential variables. Derivation of the distribution of sums of independent variables such as binomial, Poisson, normal, and gamma variables. Probability and moment generating functions.

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.

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.

Concepts, units, scales and dimensions. Vectors. Kinematics of particles. Particle dynamics, inertia, forces and Newton's laws. Friction. Work and energy, conservation of energy. Momentum, collisions. Systems of particles, center of mass. Rotation of a rigid body. Angular momentum and moment of inertia. Statics. Gravity. Solids and fluids, Bernoulli's equation. Oscillations: Simple, damped and forced. Waves. Sound. Temperature. Ideal gas. Heat and the first law of thermodynamics. Kinetic theory of gases. Entropy and the second law of thermodynamics. Home problems: Once a week the students have to solve homeproblems on the website MasteringPhysics.

Laboratory work: Three exercises, mainly centered on mechanics, where students are trained in handling physical instruments, collecting and inspecting data. Students hand in their lab notebooks for a grade.

Note that the textbook is accessible to students via Canvas free of charge.

The basis of the atomic theory. Stoichiometry. Types of chemical reactions and solution stoichiometry. Properties of gases. Chemical equilibrium. Acids and bases. Applications of aqueous equilibria. Chemical thermodynamics. Enthropy, free energy and equilibrium. Electrochemistry. Chemical kinetics. Physical properties of solutions.

Molar volume of gases, thermochemistry, reaction enthalpies and Hesse's law, Rate of chemical reactions, decomposition of hydrogen peroxide, reaction reversibility and Le Chatelier's principle, determination of acid ionization constant with potentiometric titration, determination of equilibrium constant with absorbtion measurements.

This is a foundational course in single variable calculus. The prerequisites are high school courses on algebra, trigonometry. derivatives, and integrals. The course aims to create a foundation for understanding of subjects such as natural and physical sciences, engineering, economics, and computer science. Topics of the course include the following:

• Real numbers.
• Limits and continuous functions.
• Differentiable functions, rules for derivatives, derivatives of higher order, applications of differential calculus (extremal value problems, linear approximation).
• Transcendental functions.
• Mean value theorem, theorems of l'Hôpital and Taylor.
• Integration, the definite integral and rules/techniques of integration, primitives, improper integrals.
• Fundamental theorem of calculus.
• Applications of integral calculus: Arc length, area, volume, centroids.
• Ordinary differential equations: First-order separable and homogeneous differential equations, first-order linear equations, second-order linear equations with constant coefficients.
• Sequences and series, convergence tests.
• Power series, Taylor series.

Basics of linear algebra over the reals.  

Subject matter: Systems of linear equations, matrices, Gauss-Jordan reduction.  Vector spaces and their subspaces.  Linearly independent sets, bases and dimension.  Linear maps, range space and nullk space.  The dot product, length and angle measures.  Volumes in higher dimension and the cross product in threedimensional space.  Flats, parametric descriptions and descriptions by equations.  Orthogonal projections and orthonormal bases.  Gram-Schmidt orthogonalization.  Determinants and inverses of matrices.  Eigenvalues, eigenvectors and diagonalization.

Programming in Python (for computations in engineering and science): Main commands and statements (computations, control statements, in- and output), definition and execution of functions, datatypes (numbers, matrices, strings, logical values, records), operations and built-in functions, array and matrix computation, file processing, statistics, graphics. Object-oriented programming: classes, objects, constructors and methods. Concepts associated with design and construction of program systems: Programming environment and practices, design and documentation of function and subroutine libraries, debugging and testing of programmes.

In this course, several energy and production processes and their technology in the Icelandic economy will be covered: aluminum production, silicon iron production, gas and composting from organic waste, paint, rock wool, fish oil and methanol production, etc.  New and environmentally friendly production processes that can possibly replace older production processes in the future will also be examined.

The course is taught together with EÐL201G. The class is given for 8 weeks (spread over 11 week period).Topics: Charge and electric field. Gauss' law. Electric potential. Capacitors and dielectrics. Electric currents and resistance. Magnetic fields. The laws of Ampère and Faraday. Induction. Maxwell's equations. Electromagnetic waves. Reflection and refraction. Lenses and mirrors. Wave optics. Two laboratory exercises in optics.

This course focuses on the structure of the periodic table and properties of the elements based on their place in the periodic table. The students learn about the naturally occurring forms of the elements, isolation of the elements and common chemical reactions. Atomic theory is taught as a base for understanding the properties of the elements and their reactivity. Early theories of the structure of the hydrogen atome put forward by Bohr and their development to modern view of the atom structure are covered. The electronic structure of the atom is described, and theories describing formation of chemical bonds such as valence bond theory, VSEPR, and molecular orbital theory are used to determine structures and predict reactivity of molecules. Processes for purification of metals from their naturally occurring ores is covered as well as properties of metalloids and nonmetals. The transition metal elements, and the formation of coordination compounds with solubility, equilibria, ions and electron pair donors will be introduced. Radioactivity, formation and types of radioactive species, reactions and their applications will be introduced.

The course contains independent, individual exercises in qualitative analyses. The student will conduct analyses of cations from the first, second, third and fourth group as well as selected anions. Supporting lectures accompany the laboratory work.

In the first half of the course, students will analyze prepared aqueous solutions of unknown compositions. In the second half the student will analyze unknown metallic alloys and salt compositions.

The student will keep a laboratory workbook during the whole course and hand it in for evaluation at the end of every exercise section.

The final grade is composed of the teacher’s grade for performance, the grade for the laboratory workbook and the grade for a short oral examination at the end of the course.

Book: Qualitative Analysis and the Property of Ions in aqueous solutions, 2. Ed., by Slowinski and Masterton.

Introduction to processes and material and energy balance calculations applied to industrial processes. Analysis of gas behavior, gas-liquid systems, and phase equilibrium. Material balances, including reaction systems and multiple-unit systems. Energy balances, including reaction systems and multiple-unit systems, and combined energy-material balances.

Open and closed sets. Mappings, limits and continuity. Differentiable mappings, partial derivatives and the chain rule. Jacobi matrices. Gradients and directional derivatives. Mixed partial derivatives. Curves. Vector fields and flow. Cylindrical and spherical coordinates. Taylor polynomials. Extreme values and the classification of stationary points. Extreme value problems with constraints. Implicit functions and local inverses. Line integrals, primitive functions and exact differential equations. Double integrals. Improper integrals. Green's theorem. Simply connected domains. Change of variables in double integrals. Multiple integrals. Change of variables in multiple integrals. Surface integrals. Integration of vector fields. The theorems of Stokes and Gauss.

Continuation of EVF401G. Methods in precessor course to solve simple or actual problems/subjects in single or few unit operation.  Thermodynamics with and without chemical reactions, use of simulators and softwares.  Energy processes (Carnor cycles, work cycles, cooling cycles) in chemical industry, separation analysis with McCabe-Tiele method, steady state and transient processes, safety in chemical industry, process control and models in chemical industry.

Energy balances for chemical processes that include mixing, phase change and reactions. Classical equilibrium thermodynamics with an emphasis on the use of thermodynamic data to predict reaction equilibrium and optimize selectivity and yield. The use of thermodynamic data and theory to predict vapor-liquid equilibrium for both ideal and non-ideal systems.

Goal: This course covers the basics of quantum chemistry. Additionally, a few simple electrochemical cells will be introduced. 

Course content:  The Schrödinger equation, wave functions and their interpretation, uncertainity principle, particle in a box, excitation with photons, harmonic oscillator, vibration of molecules, hydrogen atom, atoms with many electrons, orbitals, molecules and chemical bonds, Hartree-Fock approximation and methods for correcting it using variational calculations or perturbation calculations. Simple electrochemical cells.

The aim of this course is offer insights into the analysis and design of technical systems, i.e. systems that use energy, material and information to fulfill given goals. The following topics will be covered in the course:

1) Simple electrical circuits and their use to measure physical properties, such as position, pressure, temperature, and flow.

2) Simple actuators and their use for movement and control of mechanical systems.

3) The basics of automatic control and the use of feedback.

4) The use of microcontrollers for measurement and control of simple technical systems.

5) The process of designing technical systems, including requirements, analysis, implementation, testing, and improvements.

Functions of a complex variable. Analytic functions. The exponential function, logarithms and roots. Cauchy's Integral Theorem and Cauchy's Integral Formula. Uniform convergence. Power series. Laurent series. Residue integration method. Application of complex function theory to fluid flows. Ordinary differential equations and systems of ordinary differential equations. Linear differential equations with constant coefficients. Systems of linear differential equations. The matrix exponential function. Various methods for obtaining a particular solution. Green's functions for initial value problems. Flows and the phase plane. Nonlinear systems of ordinary differential equations in the plane, equilibrium points, stability and linear approximations. Series solutions and the method of Frobenius. Use of Laplace transforms in solving differential equations.

Basic principles of organic chemistry with special reference to the medical disciplines. All main classes of organic compounds from alkanes to amines are covered together with their major reaction mechanisms. Structure and chemistry of biological compounds such as carbohydrates, lipids, amino acids and proteins with special reference to biochemistry, enzyme catalysed reaction and medicine in general.

Students will be trained in the laboratory work needed in the organic lab. Organic compounds will be synthesized with addition, alkylation and aldol condensation. The idendtification of organic compounds will be performed with the help of derivatives and TLC.

The major equipment of chemical process plants is called "unit operastions" and consists mainly of three types. Firstly, there are reactors. Secondly separation equipment. Thirdly heat exchangers and boilers. This course covers the main examples of separation equipment used in industry. Heat exchangers will also be treated. The operating principles and modeling of every equipment type will be introduced. Students will simulate every equipment type in the process simulator Aspen. 

This course will also introduce students to process simulation software. For this purpose, it is highly recommended that every student have a Windows laptop or a Macintosh with virtual Windows installed.

Basic concepts in probability and statistics based on univariate calculus. 

Topics: 
Sample space, events, probability, equal probability, independent events, conditional probability, Bayes rule, random variables, distribution, density, joint distribution, independent random variables, condistional distribution, mean, variance, covariance, correlation, law of large numbers, Bernoulli, binomial, Poisson, uniform, exponential and normal random variables. Central limit theorem. Poisson process. Random sample, statistics, the distribution of the sample mean and the sample variance. Point estimate, maximum likelihood estimator, mean square error, bias. Interval estimates and hypotheses testing form normal, binomial and exponential samples. Simple linear regression. Goodness of fit tests, test of independence.

Fundamental concepts on approximation and error estimates. Solutions of systems of linear and non-linear equations. PLU decomposition. Interpolating polynomials, spline interpolation and regression. Numerical differentiation and integration. Extrapolation. Numerical solutions of initial value problems of systems of ordinary differential equations. Multistep methods. Numerical solutions to boundary value problems for ordinary differential equations.

Grades are given for programning projects and in total they amount to 30% of the final grade. The student has to receive the minimum grade of 5 for both the projects and the final exam.

Heat conduction, one and two dimensional systems, steady and unsteady heat conduction, numerical analysis of heat conduction systems. Fins and enlarged heat transfer surfaces. Heat transfer by convection, laminar and turbulent flow. Free and forced convection. Evaporation and condensation. Thermal radiation, Stefan-Boltzmann's and Planck's laws. Thermal radiation properties of materials. Shape factors, radiative heat exchange between surfaces, radiation properties of gases. Heat exchangers and their design. Special topics in heat transfer.

The objective of the course is that students get the skills to:

1.    Understand the main concepts in accounting, cost theory and investment theory.

2.    Be able to use methods of measuring the economic feasibility of technical projects.

3.    Be able to develop computer models to assess the profitability of investments, the value of companies and pricing of bonds

Among topics included are accounting, cost theory, cash flow analysis, investment theory, measures of profitability including net present value and internal rate of return, and the building of profitability models. The course ends with a group assignment where the students exercise the development of computer models for feasibility assessment of projects.

The class goal is to introduce students to the interdisciplinary field of environmental engineering. The class studies the causes and concerns of environmental problems and provides analytical tools to assess and control them. Topics include: Global and local environmental issues, mass transfer theory, environmental chemistry, risk assessments, water pollution, water and wastewater treatment, air pollution, solid waste management, global warming and united nations sustainable development goals.

Lectures and recitations will be conducted in Icelandic. Written materials (class notes, homeworks and textbook) are in English. Students perform a group research project which involves data collection in the field, oral presentation and report writing. 

Methods of classical automatic control systems. System models represented by transfer functions and state equations, simulation. System time and frequency responses. Properties of feedback control systems, stability, sensitivity, disturbance rejection, error coefficients. Stability analysis, Routh's stability criterion. Analysis and design using root-locus, lead, lag and PID controllers. Analysis and design in the frequency domain, lead, lag and PID compensators. Computer controlled systems, A/D and D/A converters, transformations of continuous controllers to discrete form. Analysis and design of digital control systems.

Basic principles and mathematical methods in thermodynamics,
laws of thermodynamics, state functions, Maxwell relations, equilibrium, phase transitions, quantum statistical mechanics, ideal and real gases, specific heat, rate theory.

Properties of liquids and gases. Pressure and force fields in liquids at rest, pressure gauges. Equations of motion, continuity, momentum and energy. Bernoulli equation of motion. Dimensional analysis and dynamic similarity. Two dimensional flow, non-viscous fluids, boundary layers theory, laminar and turbulent flow, fluid friction and form drag. Flow of compressible fluids, velocity of sound. Mach number, sound waves, nozzle shape for supersonic speed. Open channel flow. Several experiments are conducted.

Presentations on study and career options in Chemical Engineering and related fields are given by the instructors and invited speakers. The seminar will explore career options, MS degree options in Europe, the USA and elsewhere for students after completing their BS in Chemical Engineering.

Attendance is compulsory. A minimum of 4 lectures must be attended to complete the course.

A systematic introduction to the use of process simulators (like Aspen) to model, design and optimize chemical manufacturing processes. The selection, optimization and combination of reactors, separation equipment and heat exchangers. An introduction to the concepts and principles of project economics.

Design of chemical reactors for economical processes and waste minimization. Contacting patterns, kinetics and transport rate effects in single phase and catalytic systems. Another goal of the course is to introduce the fundamentals of mass transfer in chemical engineering such as the mass transfer theory and how to set up differential equations and solve them for such systems.

The purpose of the course is to train an engineering approach to experiments and experimental thinking. Experiments are designed, carried out, data collected and processed using statistical methods. Finally, it discussed how conclusions can be drawn from data / information when using experiments in for example product design and the design and operation of production systems.

Course material: Linear and non-linear regression analysis. Analysis of Variances (ANOVA). Design of experiments. Statistical quality control. Non-parametric tests that can be used in data processing. Use of statistical programs when solving tasks.

The course is a practical course with weekly supportive lectures.  The lectures provide heroretical background of the instrumental methods and the instruments. The supportive lectures are part of lab exercises and attendance is compulsory.

The students learn about modern methods and instruments used in analytical chemistry based on interaction between chemical- and physical properties of the substances and the electromagnetic field. Chromatographic methods used to separate mixtures into single pure compounds will be introduced.  The focus of the course is the analysis of organic compounds.

Laboratory work: Fluorimetry, atomic absorption, spectrophotometry and applications of IR, UV and visible and NMR spectroscopy. Gas- and liquid (HPLC) chromatography. Gas chromatography/mass spectrometry (GC/MS).

Objectives: This course is to provide the students an overview of treatment and reutilization technology in wastewater engineering, air pollution control engineering, and solid & hazardous waste engineering.

Topics: In this course, three major topics are covered:

(1) Treatment and reutilization technology in wastewater engineering, including wastewater and storm water systems; physical, chemical, and biological wastewater treatment unit processes; industrial wastewater treatment; advanced wastewater treatment and reclamation technology; sludge treatment and disposal technology

(2) Treatment and reutilization technology in air pollution control engineering, including techniques for air pollution measurements; sulphur oxides and nitrogen oxides abatement techniques; VOCs and HCs abatement techniques; particulate matters abatement techniques; Control technique of mobile source pollutants.

(3) Treatment and reutilization technology in solid & hazardous waste engineering, including waste minimization and processing,    biochemical waste conversion, thermal waste transformation, waste disposal, hazardous waste treatment and reuse.

Teaching: Lectures (teaching lecture, tutorial lecture, lab lecture), homework, and a mini-research project. Lectures introduce the fundamentals and advances of treatment and reutilization technology in environmental engineering (focusing on wastewater, air, and solid waste). Homework is assigned to help students review the lecture contents and practice technical calculation questions. Tutorial lectures are provided to discuss solutions of homework assignments with students. Lab lecture is performed in the research lab to demonstrate selected treatment processes and allow students hands-on practice. In the project, students review literatures of a selected topic relating to advanced treatment technology, write a report, and give an oral presentation.

The course is suitable for students specializing in Civil or Environmental Engineering, Chemical Engineering, other engineering fields, Environment and Natural Resources, Life and Environmental Science.

Students are given the opportunity to conduct a special topic in chemistry or chemical engineering under the guidance of a faculty member or industrial supervisor. The work is completed with a short thesis which is graded by the faculty member in charge and an additional faculty member.

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.

The main purpose of this course is to teach the principles of chemical structure and bonding. The main focus will be on using symmetry and group theory in constructing molecular orbitals for simple molecules and ions. VSEPR and VB methods will also be used to study bonding and structure of molecules. The crystalline solid state, formulas, structures and properties. Each students performance in two interm exams will count as 20% of the final grade. The assignments will count as 5% of the final grade

Methods for calculating and predicting properties of matter and the rate of transitions. Students will learn to use software for setting up and carrying out calculations of various organic and inorganic compounds and to interpret
the results for deeper insight and understanding of chemistry. Among the methods that will be introduced for calculating electron distribution are Hartree-Fock, density functional theory and perturbation theory (MP2). The compromises that need to be made in choosing basis sets and level of theory will be discussed.  Among methods used to calculate structure of molecules and movement of atoms are minimization techniques, classical dynamics, vibrational mode analysis, Monte Carlo and transition state theory.  The coursework includes laboratory exercises  involving computer calculations.

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.

The objective of the course is that students get the skills to:

1.    Understand the main concepts in accounting, cost theory and investment theory.

2.    Be able to use methods of measuring the economic feasibility of technical projects.

3.    Be able to develop computer models to assess the profitability of investments, the value of companies and pricing of bonds

Among topics included are accounting, cost theory, cash flow analysis, investment theory, measures of profitability including net present value and internal rate of return, and the building of profitability models. The course ends with a group assignment where the students exercise the development of computer models for feasibility assessment of projects.

The course is an introductory course in project management. It introduces key concepts of project management and covers context and selection of projects, project planning, project monitoring, management of project teams, and project closure. Students create and execute project plans in groups. Special emphasis is on using of project management for managing technological innovation in organizations.

A thorough treatment of the fundamentals of biochemistry - part one; structure and function of macromolecules. The scope of biochemistry. Water and its properties. Interactions in biomolecules. Amino acids, peptides and the structure of proteins. Protein function.  Protein stability, folding, and dynamics related to function. Carbohydrates and glycobiology. Lipids, membranes and membrane proteins. Enzyme kinetics, regulation of enzyme activity, and mechanisms of enzyme catalysis. Signal transduction and membrane receptors. Structure of nucleic acids, stability, and basic recombinant technology. Final grade is combined from the final exam (85% ) and a midterm exam (15%).

Lectures:
Twice weekly (2 x 40 min.) Probelm solving class (2 x 40 min.) weekly.

Course evaluation:
Final exam (3 hours): 85% of final grade.
Midterm: 15% of final grade.

Textbook:
Nelson D.L. & Cox M.M. Lehninger: Principles of Biochemistry, 8th Edition, 2021

The cell biology part includes four lectures each week for 14 weeks (4L week for 14 weeks). The content includes: Introduction to cell biology, structure and evolution of eukaryotic cells. The main emphasis is on eukaryotic cells. Chemistry of the cell and energy conversion, structure and function of cellular macromolecules. The structure and function of cellular organs and functional units like the cell membrane, nucleus, mitochondria, chloroplasts, cytoskeleton, golgi-system, lysosomes and peroxisomes. Intracellular regulation and signal pathways linked to communication between cells, together with cell differentiation and cancer. Details on extracellular matrix are included and basic immunology.

This course introduces biotechnology-based applications of microbes and their enzymes. The first part provides fundamental microbiology such as the classification of microorganisms, their structure, metabolism, growth and functional characteristics, handling and identification. The content of the first part will be emphasized with practical sessions, discussions and written assignments and is the foundation for more specific topics.

The second part will introduce different fields of microbial biotechnology and how they have been shaped by recent progress in microbiology, molecular biology and biochemistry. State of the art will be covered regarding subjects such as microbial diversity as a resource of enzymes and biocompounds; bioprospecting, thermophiles, marine microbes and microalgae, biorefineries (emphasis on seaweed and lignocellulose), enzymes (emphasis on carbohydrate active enzymes), metabolic engineering (genetic engineering, omics), energy-biotechnology, cultivation and fermentation technology. The course will exemplify Icelandic biotechnology where applicable. The subject will be presented in lectures and students will be trained in reading original research papers on selected topics in the field; Cultivation/production technology and yeast will be presented specifically in practical sessions in the brewing of beer.

This course is partly taught in parallel with Microbiology II (LÍF533M) and intended for students that have neither completed Microbiology (LÍF201G) nor a similar course. Students must complete the first part of the course before participating in the latter. The number of participants might be restricted.

Additional teaching one saturday in end of September or beginning of October.

The class goal is to introduce students to the interdisciplinary field of environmental engineering. The class studies the causes and concerns of environmental problems and provides analytical tools to assess and control them. Topics include: Global and local environmental issues, mass transfer theory, environmental chemistry, risk assessments, water pollution, water and wastewater treatment, air pollution, solid waste management, global warming and united nations sustainable development goals.

Lectures and recitations will be conducted in Icelandic. Written materials (class notes, homeworks and textbook) are in English. Students perform a group research project which involves data collection in the field, oral presentation and report writing. 

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.

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.

The objective of the course is to teach the fundamental principles of materials science so the student can better understand material behavior and select appropriate materials for a given application. Theoretical basis is given for the understanding of material behaviour from a microscopic view. The course includes the following topics: crystalline structures, imperfections, diffusion, mechanical properties, deformation and strengthening mechanisms, fracture and fatique, phase diagrams, phase transformations, thermal processing of metal alloys, types of materials (metal alloys, polymers, ceramics, composites), corrosion and degradation of of materials. The course includes homework problems and practical classes in laboratory.

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.

Students are given the opportunity to conduct a special topic in chemistry or chemical engineering under the guidance of a faculty member or industrial supervisor for 6, 8, 12 or 15 ECTS. The work is completed with a short thesis which is graded by the faculty member in charge and an additional faculty member.

Project submission information
Submissions are in May for the graduation in June
Submissions are in September for the graduation in October
Submissions are in January for the graduation in February

At the beginning of the semester, the student and supervisor come up with a timeline for the submission of assignments.

Submission of a completed project to the supervisor / supervisor is on the 10th of May / September / January

Students' submissions to Skemma are no later than 30th of May / September / January and a confirmation of approved submission must be sent to nemvon@hi.is

The grade from the supervisor must have been received by the office no later than 30th of May / September / January

Integrated circuits, history and future trends. Solid state electronics, the MOS-transistor and CMOS. Integrated circuit fabrication, crystal growth, oxidation, doping, diffusion, ion implantation, lithography, deposition and etching of thin fi ms, microelectromechanical systems (MEMS).

Goal: Enable the students to: 1: Study thermodynamics from the viewpoint of the second law of thermodynamics 2. Understand standard power cycles, and their use for analysis of power plants 3. Understand air conditioning systems and their necessity 4. Understand thermochemistry and be able to estimate heat release through combustion. Content: Work, heat and energy conversion. Exergy and anergy. Energy, energy price and energy quality. Standard power and refrigeration cycles. Steam power cycles, geothermal utilization. Gas mixtures, moist air, ventilation and air purifiers. The Mollier i-x chart. Thermochemistry, combustion and reactions, chemical equilibrium. New energy systems. Exercises, design project.

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.

Lectures: Summary of the chemistry of the main group elements. Coordination chemistry of the transition metals with main emphasis on bonding, structures, magnetic properties and electronic spectra. Each students performance in two interm exams will count as 25% of the final grade.

Laboratory work: Synthesis and analytical organic chemistry.

The course deals with the determination of the structure, energy levels, and reaction dynamics of molecules using the spectra resulting from the interaction between electromagnetic radiation and matter. The fundamentals of quantum mechanics applied to molecular spectra as well as experimental aspects of modern spectroscopic methods will be covered. The focus is on rotational and vibrational spectroscopies, electronic spectroscopy including time-resolved and single-molecule techniques, nuclear magnetic resonance, and electron paramagnetic resonance. The course involves weekly assignments and visits to experimental labs.

In this course, the main metabolic processes of cells are studied, with a focus on carbohydrate, fat, and protein metabolism, as well as the metabolic regulation of these processes. The course begins with a detailed examination of carbohydrate metabolism, including glycolysis (both aerobic and anaerobic), the citric acid cycle, and the pentose phosphate pathway. Then we continue into pathways such as gluconeogenesis, glycogen breakdown, and then into how carbohydrate metabolism is regulated.

Next, the focus shifts to fat metabolism, where the breakdown of triglycerides, fatty acid oxidation, and fatty acid synthesis are explained. Special emphasis is placed on the regulation of fat metabolism and the control of enzymes involved in these processes. Following this, protein metabolism is addressed, where protein hydrolysis, amino acid degradation, and the urea cycle are studied.

The course also covers the integration and regulation of metabolic pathways, with a focus on the complex regulation that occurs in the key steps of these pathways, considering both intracellular signals and hormones. It examines how these processes adapt to various conditions to maintain homeostasis and the effects of disruptions in their regulation. Lastly, photosynthesis and the Calvin cycle are covered.

This course is highly beneficial for those seeking an in-depth understanding of biochemical processes and the biochemistry of the human body.

Lectures are held twice a week (2 x 40 minutes) over 13-14 weeks. 

This course focuses on methodology and recent innovations in biochemistry, emphasizing both analytical and computational techniques. It is divided into several modules, each taught by experts in their respective fields. While lectures form the core of the material, additional resources such as articles or book chapters may be assigned when appropriate. Practical demonstrations of research equipment may also be included. Students are expected to submit several written assignments throughout the semester.

The course will explore recent research in various specialized areas of biochemistry, and the content of the modules is regularly updated.

Topics covered may include single-molecule spectroscopy, protein mass spectrometry, structural biochemistry, binding affinity and thermodynamics, enzymology, and computational biochemistry.

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.

This is an extension of the course "Probability and Statistics" STÆ203G. The basic concepts of probability are considered in more detail with emphasis on definitions and proofs. The course is a preparation for the two M-courses in probability and the two M-courses in statistics that are taught alternately every other year.

Topics beyond those discussed in the probability part of STÆ203G:

Kolmogorov's definition. Proofs of propositions on compound events and conditional probability. Proofs for discrete and continuous variables of propositions on expectation, variance, covariance, correlation, and conditional expectation and variance. Proofs of propositions for Bernoulli, binomial, Poisson, geometric, uniform, exponential, and gamma variables. Proof of the tail-summing proposition for expectation and the application to the geometric variable. Proof of the proposition on memoryless and exponential variables. Derivation of the distribution of sums of independent variables such as binomial, Poisson, normal, and gamma variables. Probability and moment generating functions.

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.

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.

Concepts, units, scales and dimensions. Vectors. Kinematics of particles. Particle dynamics, inertia, forces and Newton's laws. Friction. Work and energy, conservation of energy. Momentum, collisions. Systems of particles, center of mass. Rotation of a rigid body. Angular momentum and moment of inertia. Statics. Gravity. Solids and fluids, Bernoulli's equation. Oscillations: Simple, damped and forced. Waves. Sound. Temperature. Ideal gas. Heat and the first law of thermodynamics. Kinetic theory of gases. Entropy and the second law of thermodynamics. Home problems: Once a week the students have to solve homeproblems on the website MasteringPhysics.

Laboratory work: Three exercises, mainly centered on mechanics, where students are trained in handling physical instruments, collecting and inspecting data. Students hand in their lab notebooks for a grade.

Note that the textbook is accessible to students via Canvas free of charge.

The basis of the atomic theory. Stoichiometry. Types of chemical reactions and solution stoichiometry. Properties of gases. Chemical equilibrium. Acids and bases. Applications of aqueous equilibria. Chemical thermodynamics. Enthropy, free energy and equilibrium. Electrochemistry. Chemical kinetics. Physical properties of solutions.

Molar volume of gases, thermochemistry, reaction enthalpies and Hesse's law, Rate of chemical reactions, decomposition of hydrogen peroxide, reaction reversibility and Le Chatelier's principle, determination of acid ionization constant with potentiometric titration, determination of equilibrium constant with absorbtion measurements.

This is a foundational course in single variable calculus. The prerequisites are high school courses on algebra, trigonometry. derivatives, and integrals. The course aims to create a foundation for understanding of subjects such as natural and physical sciences, engineering, economics, and computer science. Topics of the course include the following:

• Real numbers.
• Limits and continuous functions.
• Differentiable functions, rules for derivatives, derivatives of higher order, applications of differential calculus (extremal value problems, linear approximation).
• Transcendental functions.
• Mean value theorem, theorems of l'Hôpital and Taylor.
• Integration, the definite integral and rules/techniques of integration, primitives, improper integrals.
• Fundamental theorem of calculus.
• Applications of integral calculus: Arc length, area, volume, centroids.
• Ordinary differential equations: First-order separable and homogeneous differential equations, first-order linear equations, second-order linear equations with constant coefficients.
• Sequences and series, convergence tests.
• Power series, Taylor series.

Basics of linear algebra over the reals.  

Subject matter: Systems of linear equations, matrices, Gauss-Jordan reduction.  Vector spaces and their subspaces.  Linearly independent sets, bases and dimension.  Linear maps, range space and nullk space.  The dot product, length and angle measures.  Volumes in higher dimension and the cross product in threedimensional space.  Flats, parametric descriptions and descriptions by equations.  Orthogonal projections and orthonormal bases.  Gram-Schmidt orthogonalization.  Determinants and inverses of matrices.  Eigenvalues, eigenvectors and diagonalization.

Programming in Python (for computations in engineering and science): Main commands and statements (computations, control statements, in- and output), definition and execution of functions, datatypes (numbers, matrices, strings, logical values, records), operations and built-in functions, array and matrix computation, file processing, statistics, graphics. Object-oriented programming: classes, objects, constructors and methods. Concepts associated with design and construction of program systems: Programming environment and practices, design and documentation of function and subroutine libraries, debugging and testing of programmes.

In this course, several energy and production processes and their technology in the Icelandic economy will be covered: aluminum production, silicon iron production, gas and composting from organic waste, paint, rock wool, fish oil and methanol production, etc.  New and environmentally friendly production processes that can possibly replace older production processes in the future will also be examined.

The course is taught together with EÐL201G. The class is given for 8 weeks (spread over 11 week period).Topics: Charge and electric field. Gauss' law. Electric potential. Capacitors and dielectrics. Electric currents and resistance. Magnetic fields. The laws of Ampère and Faraday. Induction. Maxwell's equations. Electromagnetic waves. Reflection and refraction. Lenses and mirrors. Wave optics. Two laboratory exercises in optics.

This course focuses on the structure of the periodic table and properties of the elements based on their place in the periodic table. The students learn about the naturally occurring forms of the elements, isolation of the elements and common chemical reactions. Atomic theory is taught as a base for understanding the properties of the elements and their reactivity. Early theories of the structure of the hydrogen atome put forward by Bohr and their development to modern view of the atom structure are covered. The electronic structure of the atom is described, and theories describing formation of chemical bonds such as valence bond theory, VSEPR, and molecular orbital theory are used to determine structures and predict reactivity of molecules. Processes for purification of metals from their naturally occurring ores is covered as well as properties of metalloids and nonmetals. The transition metal elements, and the formation of coordination compounds with solubility, equilibria, ions and electron pair donors will be introduced. Radioactivity, formation and types of radioactive species, reactions and their applications will be introduced.

The course contains independent, individual exercises in qualitative analyses. The student will conduct analyses of cations from the first, second, third and fourth group as well as selected anions. Supporting lectures accompany the laboratory work.

In the first half of the course, students will analyze prepared aqueous solutions of unknown compositions. In the second half the student will analyze unknown metallic alloys and salt compositions.

The student will keep a laboratory workbook during the whole course and hand it in for evaluation at the end of every exercise section.

The final grade is composed of the teacher’s grade for performance, the grade for the laboratory workbook and the grade for a short oral examination at the end of the course.

Book: Qualitative Analysis and the Property of Ions in aqueous solutions, 2. Ed., by Slowinski and Masterton.

Introduction to processes and material and energy balance calculations applied to industrial processes. Analysis of gas behavior, gas-liquid systems, and phase equilibrium. Material balances, including reaction systems and multiple-unit systems. Energy balances, including reaction systems and multiple-unit systems, and combined energy-material balances.

Open and closed sets. Mappings, limits and continuity. Differentiable mappings, partial derivatives and the chain rule. Jacobi matrices. Gradients and directional derivatives. Mixed partial derivatives. Curves. Vector fields and flow. Cylindrical and spherical coordinates. Taylor polynomials. Extreme values and the classification of stationary points. Extreme value problems with constraints. Implicit functions and local inverses. Line integrals, primitive functions and exact differential equations. Double integrals. Improper integrals. Green's theorem. Simply connected domains. Change of variables in double integrals. Multiple integrals. Change of variables in multiple integrals. Surface integrals. Integration of vector fields. The theorems of Stokes and Gauss.

Continuation of EVF401G. Methods in precessor course to solve simple or actual problems/subjects in single or few unit operation.  Thermodynamics with and without chemical reactions, use of simulators and softwares.  Energy processes (Carnor cycles, work cycles, cooling cycles) in chemical industry, separation analysis with McCabe-Tiele method, steady state and transient processes, safety in chemical industry, process control and models in chemical industry.

Energy balances for chemical processes that include mixing, phase change and reactions. Classical equilibrium thermodynamics with an emphasis on the use of thermodynamic data to predict reaction equilibrium and optimize selectivity and yield. The use of thermodynamic data and theory to predict vapor-liquid equilibrium for both ideal and non-ideal systems.

Goal: This course covers the basics of quantum chemistry. Additionally, a few simple electrochemical cells will be introduced. 

Course content:  The Schrödinger equation, wave functions and their interpretation, uncertainity principle, particle in a box, excitation with photons, harmonic oscillator, vibration of molecules, hydrogen atom, atoms with many electrons, orbitals, molecules and chemical bonds, Hartree-Fock approximation and methods for correcting it using variational calculations or perturbation calculations. Simple electrochemical cells.

The aim of this course is offer insights into the analysis and design of technical systems, i.e. systems that use energy, material and information to fulfill given goals. The following topics will be covered in the course:

1) Simple electrical circuits and their use to measure physical properties, such as position, pressure, temperature, and flow.

2) Simple actuators and their use for movement and control of mechanical systems.

3) The basics of automatic control and the use of feedback.

4) The use of microcontrollers for measurement and control of simple technical systems.

5) The process of designing technical systems, including requirements, analysis, implementation, testing, and improvements.

Functions of a complex variable. Analytic functions. The exponential function, logarithms and roots. Cauchy's Integral Theorem and Cauchy's Integral Formula. Uniform convergence. Power series. Laurent series. Residue integration method. Application of complex function theory to fluid flows. Ordinary differential equations and systems of ordinary differential equations. Linear differential equations with constant coefficients. Systems of linear differential equations. The matrix exponential function. Various methods for obtaining a particular solution. Green's functions for initial value problems. Flows and the phase plane. Nonlinear systems of ordinary differential equations in the plane, equilibrium points, stability and linear approximations. Series solutions and the method of Frobenius. Use of Laplace transforms in solving differential equations.

Basic principles of organic chemistry with special reference to the medical disciplines. All main classes of organic compounds from alkanes to amines are covered together with their major reaction mechanisms. Structure and chemistry of biological compounds such as carbohydrates, lipids, amino acids and proteins with special reference to biochemistry, enzyme catalysed reaction and medicine in general.

Students will be trained in the laboratory work needed in the organic lab. Organic compounds will be synthesized with addition, alkylation and aldol condensation. The idendtification of organic compounds will be performed with the help of derivatives and TLC.

The major equipment of chemical process plants is called "unit operastions" and consists mainly of three types. Firstly, there are reactors. Secondly separation equipment. Thirdly heat exchangers and boilers. This course covers the main examples of separation equipment used in industry. Heat exchangers will also be treated. The operating principles and modeling of every equipment type will be introduced. Students will simulate every equipment type in the process simulator Aspen. 

This course will also introduce students to process simulation software. For this purpose, it is highly recommended that every student have a Windows laptop or a Macintosh with virtual Windows installed.

Basic concepts in probability and statistics based on univariate calculus. 

Topics: 
Sample space, events, probability, equal probability, independent events, conditional probability, Bayes rule, random variables, distribution, density, joint distribution, independent random variables, condistional distribution, mean, variance, covariance, correlation, law of large numbers, Bernoulli, binomial, Poisson, uniform, exponential and normal random variables. Central limit theorem. Poisson process. Random sample, statistics, the distribution of the sample mean and the sample variance. Point estimate, maximum likelihood estimator, mean square error, bias. Interval estimates and hypotheses testing form normal, binomial and exponential samples. Simple linear regression. Goodness of fit tests, test of independence.

Fundamental concepts on approximation and error estimates. Solutions of systems of linear and non-linear equations. PLU decomposition. Interpolating polynomials, spline interpolation and regression. Numerical differentiation and integration. Extrapolation. Numerical solutions of initial value problems of systems of ordinary differential equations. Multistep methods. Numerical solutions to boundary value problems for ordinary differential equations.

Grades are given for programning projects and in total they amount to 30% of the final grade. The student has to receive the minimum grade of 5 for both the projects and the final exam.

Heat conduction, one and two dimensional systems, steady and unsteady heat conduction, numerical analysis of heat conduction systems. Fins and enlarged heat transfer surfaces. Heat transfer by convection, laminar and turbulent flow. Free and forced convection. Evaporation and condensation. Thermal radiation, Stefan-Boltzmann's and Planck's laws. Thermal radiation properties of materials. Shape factors, radiative heat exchange between surfaces, radiation properties of gases. Heat exchangers and their design. Special topics in heat transfer.

The objective of the course is that students get the skills to:

1.    Understand the main concepts in accounting, cost theory and investment theory.

2.    Be able to use methods of measuring the economic feasibility of technical projects.

3.    Be able to develop computer models to assess the profitability of investments, the value of companies and pricing of bonds

Among topics included are accounting, cost theory, cash flow analysis, investment theory, measures of profitability including net present value and internal rate of return, and the building of profitability models. The course ends with a group assignment where the students exercise the development of computer models for feasibility assessment of projects.

The class goal is to introduce students to the interdisciplinary field of environmental engineering. The class studies the causes and concerns of environmental problems and provides analytical tools to assess and control them. Topics include: Global and local environmental issues, mass transfer theory, environmental chemistry, risk assessments, water pollution, water and wastewater treatment, air pollution, solid waste management, global warming and united nations sustainable development goals.

Lectures and recitations will be conducted in Icelandic. Written materials (class notes, homeworks and textbook) are in English. Students perform a group research project which involves data collection in the field, oral presentation and report writing. 

Methods of classical automatic control systems. System models represented by transfer functions and state equations, simulation. System time and frequency responses. Properties of feedback control systems, stability, sensitivity, disturbance rejection, error coefficients. Stability analysis, Routh's stability criterion. Analysis and design using root-locus, lead, lag and PID controllers. Analysis and design in the frequency domain, lead, lag and PID compensators. Computer controlled systems, A/D and D/A converters, transformations of continuous controllers to discrete form. Analysis and design of digital control systems.

Basic principles and mathematical methods in thermodynamics,
laws of thermodynamics, state functions, Maxwell relations, equilibrium, phase transitions, quantum statistical mechanics, ideal and real gases, specific heat, rate theory.

Properties of liquids and gases. Pressure and force fields in liquids at rest, pressure gauges. Equations of motion, continuity, momentum and energy. Bernoulli equation of motion. Dimensional analysis and dynamic similarity. Two dimensional flow, non-viscous fluids, boundary layers theory, laminar and turbulent flow, fluid friction and form drag. Flow of compressible fluids, velocity of sound. Mach number, sound waves, nozzle shape for supersonic speed. Open channel flow. Several experiments are conducted.

Presentations on study and career options in Chemical Engineering and related fields are given by the instructors and invited speakers. The seminar will explore career options, MS degree options in Europe, the USA and elsewhere for students after completing their BS in Chemical Engineering.

Attendance is compulsory. A minimum of 4 lectures must be attended to complete the course.

A systematic introduction to the use of process simulators (like Aspen) to model, design and optimize chemical manufacturing processes. The selection, optimization and combination of reactors, separation equipment and heat exchangers. An introduction to the concepts and principles of project economics.

Design of chemical reactors for economical processes and waste minimization. Contacting patterns, kinetics and transport rate effects in single phase and catalytic systems. Another goal of the course is to introduce the fundamentals of mass transfer in chemical engineering such as the mass transfer theory and how to set up differential equations and solve them for such systems.

The purpose of the course is to train an engineering approach to experiments and experimental thinking. Experiments are designed, carried out, data collected and processed using statistical methods. Finally, it discussed how conclusions can be drawn from data / information when using experiments in for example product design and the design and operation of production systems.

Course material: Linear and non-linear regression analysis. Analysis of Variances (ANOVA). Design of experiments. Statistical quality control. Non-parametric tests that can be used in data processing. Use of statistical programs when solving tasks.

The course is a practical course with weekly supportive lectures.  The lectures provide heroretical background of the instrumental methods and the instruments. The supportive lectures are part of lab exercises and attendance is compulsory.

The students learn about modern methods and instruments used in analytical chemistry based on interaction between chemical- and physical properties of the substances and the electromagnetic field. Chromatographic methods used to separate mixtures into single pure compounds will be introduced.  The focus of the course is the analysis of organic compounds.

Laboratory work: Fluorimetry, atomic absorption, spectrophotometry and applications of IR, UV and visible and NMR spectroscopy. Gas- and liquid (HPLC) chromatography. Gas chromatography/mass spectrometry (GC/MS).

Objectives: This course is to provide the students an overview of treatment and reutilization technology in wastewater engineering, air pollution control engineering, and solid & hazardous waste engineering.

Topics: In this course, three major topics are covered:

(1) Treatment and reutilization technology in wastewater engineering, including wastewater and storm water systems; physical, chemical, and biological wastewater treatment unit processes; industrial wastewater treatment; advanced wastewater treatment and reclamation technology; sludge treatment and disposal technology

(2) Treatment and reutilization technology in air pollution control engineering, including techniques for air pollution measurements; sulphur oxides and nitrogen oxides abatement techniques; VOCs and HCs abatement techniques; particulate matters abatement techniques; Control technique of mobile source pollutants.

(3) Treatment and reutilization technology in solid & hazardous waste engineering, including waste minimization and processing,    biochemical waste conversion, thermal waste transformation, waste disposal, hazardous waste treatment and reuse.

Teaching: Lectures (teaching lecture, tutorial lecture, lab lecture), homework, and a mini-research project. Lectures introduce the fundamentals and advances of treatment and reutilization technology in environmental engineering (focusing on wastewater, air, and solid waste). Homework is assigned to help students review the lecture contents and practice technical calculation questions. Tutorial lectures are provided to discuss solutions of homework assignments with students. Lab lecture is performed in the research lab to demonstrate selected treatment processes and allow students hands-on practice. In the project, students review literatures of a selected topic relating to advanced treatment technology, write a report, and give an oral presentation.

The course is suitable for students specializing in Civil or Environmental Engineering, Chemical Engineering, other engineering fields, Environment and Natural Resources, Life and Environmental Science.

Students are given the opportunity to conduct a special topic in chemistry or chemical engineering under the guidance of a faculty member or industrial supervisor. The work is completed with a short thesis which is graded by the faculty member in charge and an additional faculty member.

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.

The main purpose of this course is to teach the principles of chemical structure and bonding. The main focus will be on using symmetry and group theory in constructing molecular orbitals for simple molecules and ions. VSEPR and VB methods will also be used to study bonding and structure of molecules. The crystalline solid state, formulas, structures and properties. Each students performance in two interm exams will count as 20% of the final grade. The assignments will count as 5% of the final grade

Methods for calculating and predicting properties of matter and the rate of transitions. Students will learn to use software for setting up and carrying out calculations of various organic and inorganic compounds and to interpret
the results for deeper insight and understanding of chemistry. Among the methods that will be introduced for calculating electron distribution are Hartree-Fock, density functional theory and perturbation theory (MP2). The compromises that need to be made in choosing basis sets and level of theory will be discussed.  Among methods used to calculate structure of molecules and movement of atoms are minimization techniques, classical dynamics, vibrational mode analysis, Monte Carlo and transition state theory.  The coursework includes laboratory exercises  involving computer calculations.

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.

The objective of the course is that students get the skills to:

1.    Understand the main concepts in accounting, cost theory and investment theory.

2.    Be able to use methods of measuring the economic feasibility of technical projects.

3.    Be able to develop computer models to assess the profitability of investments, the value of companies and pricing of bonds

Among topics included are accounting, cost theory, cash flow analysis, investment theory, measures of profitability including net present value and internal rate of return, and the building of profitability models. The course ends with a group assignment where the students exercise the development of computer models for feasibility assessment of projects.

The course is an introductory course in project management. It introduces key concepts of project management and covers context and selection of projects, project planning, project monitoring, management of project teams, and project closure. Students create and execute project plans in groups. Special emphasis is on using of project management for managing technological innovation in organizations.

A thorough treatment of the fundamentals of biochemistry - part one; structure and function of macromolecules. The scope of biochemistry. Water and its properties. Interactions in biomolecules. Amino acids, peptides and the structure of proteins. Protein function.  Protein stability, folding, and dynamics related to function. Carbohydrates and glycobiology. Lipids, membranes and membrane proteins. Enzyme kinetics, regulation of enzyme activity, and mechanisms of enzyme catalysis. Signal transduction and membrane receptors. Structure of nucleic acids, stability, and basic recombinant technology. Final grade is combined from the final exam (85% ) and a midterm exam (15%).

Lectures:
Twice weekly (2 x 40 min.) Probelm solving class (2 x 40 min.) weekly.

Course evaluation:
Final exam (3 hours): 85% of final grade.
Midterm: 15% of final grade.

Textbook:
Nelson D.L. & Cox M.M. Lehninger: Principles of Biochemistry, 8th Edition, 2021

The cell biology part includes four lectures each week for 14 weeks (4L week for 14 weeks). The content includes: Introduction to cell biology, structure and evolution of eukaryotic cells. The main emphasis is on eukaryotic cells. Chemistry of the cell and energy conversion, structure and function of cellular macromolecules. The structure and function of cellular organs and functional units like the cell membrane, nucleus, mitochondria, chloroplasts, cytoskeleton, golgi-system, lysosomes and peroxisomes. Intracellular regulation and signal pathways linked to communication between cells, together with cell differentiation and cancer. Details on extracellular matrix are included and basic immunology.

This course introduces biotechnology-based applications of microbes and their enzymes. The first part provides fundamental microbiology such as the classification of microorganisms, their structure, metabolism, growth and functional characteristics, handling and identification. The content of the first part will be emphasized with practical sessions, discussions and written assignments and is the foundation for more specific topics.

The second part will introduce different fields of microbial biotechnology and how they have been shaped by recent progress in microbiology, molecular biology and biochemistry. State of the art will be covered regarding subjects such as microbial diversity as a resource of enzymes and biocompounds; bioprospecting, thermophiles, marine microbes and microalgae, biorefineries (emphasis on seaweed and lignocellulose), enzymes (emphasis on carbohydrate active enzymes), metabolic engineering (genetic engineering, omics), energy-biotechnology, cultivation and fermentation technology. The course will exemplify Icelandic biotechnology where applicable. The subject will be presented in lectures and students will be trained in reading original research papers on selected topics in the field; Cultivation/production technology and yeast will be presented specifically in practical sessions in the brewing of beer.

This course is partly taught in parallel with Microbiology II (LÍF533M) and intended for students that have neither completed Microbiology (LÍF201G) nor a similar course. Students must complete the first part of the course before participating in the latter. The number of participants might be restricted.

Additional teaching one saturday in end of September or beginning of October.

The class goal is to introduce students to the interdisciplinary field of environmental engineering. The class studies the causes and concerns of environmental problems and provides analytical tools to assess and control them. Topics include: Global and local environmental issues, mass transfer theory, environmental chemistry, risk assessments, water pollution, water and wastewater treatment, air pollution, solid waste management, global warming and united nations sustainable development goals.

Lectures and recitations will be conducted in Icelandic. Written materials (class notes, homeworks and textbook) are in English. Students perform a group research project which involves data collection in the field, oral presentation and report writing. 

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.

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.

The objective of the course is to teach the fundamental principles of materials science so the student can better understand material behavior and select appropriate materials for a given application. Theoretical basis is given for the understanding of material behaviour from a microscopic view. The course includes the following topics: crystalline structures, imperfections, diffusion, mechanical properties, deformation and strengthening mechanisms, fracture and fatique, phase diagrams, phase transformations, thermal processing of metal alloys, types of materials (metal alloys, polymers, ceramics, composites), corrosion and degradation of of materials. The course includes homework problems and practical classes in laboratory.

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.

Students are given the opportunity to conduct a special topic in chemistry or chemical engineering under the guidance of a faculty member or industrial supervisor for 6, 8, 12 or 15 ECTS. The work is completed with a short thesis which is graded by the faculty member in charge and an additional faculty member.

Project submission information
Submissions are in May for the graduation in June
Submissions are in September for the graduation in October
Submissions are in January for the graduation in February

At the beginning of the semester, the student and supervisor come up with a timeline for the submission of assignments.

Submission of a completed project to the supervisor / supervisor is on the 10th of May / September / January

Students' submissions to Skemma are no later than 30th of May / September / January and a confirmation of approved submission must be sent to nemvon@hi.is

The grade from the supervisor must have been received by the office no later than 30th of May / September / January

Integrated circuits, history and future trends. Solid state electronics, the MOS-transistor and CMOS. Integrated circuit fabrication, crystal growth, oxidation, doping, diffusion, ion implantation, lithography, deposition and etching of thin fi ms, microelectromechanical systems (MEMS).

Goal: Enable the students to: 1: Study thermodynamics from the viewpoint of the second law of thermodynamics 2. Understand standard power cycles, and their use for analysis of power plants 3. Understand air conditioning systems and their necessity 4. Understand thermochemistry and be able to estimate heat release through combustion. Content: Work, heat and energy conversion. Exergy and anergy. Energy, energy price and energy quality. Standard power and refrigeration cycles. Steam power cycles, geothermal utilization. Gas mixtures, moist air, ventilation and air purifiers. The Mollier i-x chart. Thermochemistry, combustion and reactions, chemical equilibrium. New energy systems. Exercises, design project.

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.

Lectures: Summary of the chemistry of the main group elements. Coordination chemistry of the transition metals with main emphasis on bonding, structures, magnetic properties and electronic spectra. Each students performance in two interm exams will count as 25% of the final grade.

Laboratory work: Synthesis and analytical organic chemistry.

The course deals with the determination of the structure, energy levels, and reaction dynamics of molecules using the spectra resulting from the interaction between electromagnetic radiation and matter. The fundamentals of quantum mechanics applied to molecular spectra as well as experimental aspects of modern spectroscopic methods will be covered. The focus is on rotational and vibrational spectroscopies, electronic spectroscopy including time-resolved and single-molecule techniques, nuclear magnetic resonance, and electron paramagnetic resonance. The course involves weekly assignments and visits to experimental labs.

In this course, the main metabolic processes of cells are studied, with a focus on carbohydrate, fat, and protein metabolism, as well as the metabolic regulation of these processes. The course begins with a detailed examination of carbohydrate metabolism, including glycolysis (both aerobic and anaerobic), the citric acid cycle, and the pentose phosphate pathway. Then we continue into pathways such as gluconeogenesis, glycogen breakdown, and then into how carbohydrate metabolism is regulated.

Next, the focus shifts to fat metabolism, where the breakdown of triglycerides, fatty acid oxidation, and fatty acid synthesis are explained. Special emphasis is placed on the regulation of fat metabolism and the control of enzymes involved in these processes. Following this, protein metabolism is addressed, where protein hydrolysis, amino acid degradation, and the urea cycle are studied.

The course also covers the integration and regulation of metabolic pathways, with a focus on the complex regulation that occurs in the key steps of these pathways, considering both intracellular signals and hormones. It examines how these processes adapt to various conditions to maintain homeostasis and the effects of disruptions in their regulation. Lastly, photosynthesis and the Calvin cycle are covered.

This course is highly beneficial for those seeking an in-depth understanding of biochemical processes and the biochemistry of the human body.

Lectures are held twice a week (2 x 40 minutes) over 13-14 weeks. 

This course focuses on methodology and recent innovations in biochemistry, emphasizing both analytical and computational techniques. It is divided into several modules, each taught by experts in their respective fields. While lectures form the core of the material, additional resources such as articles or book chapters may be assigned when appropriate. Practical demonstrations of research equipment may also be included. Students are expected to submit several written assignments throughout the semester.

The course will explore recent research in various specialized areas of biochemistry, and the content of the modules is regularly updated.

Topics covered may include single-molecule spectroscopy, protein mass spectrometry, structural biochemistry, binding affinity and thermodynamics, enzymology, and computational biochemistry.

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.

This is an extension of the course "Probability and Statistics" STÆ203G. The basic concepts of probability are considered in more detail with emphasis on definitions and proofs. The course is a preparation for the two M-courses in probability and the two M-courses in statistics that are taught alternately every other year.

Topics beyond those discussed in the probability part of STÆ203G:

Kolmogorov's definition. Proofs of propositions on compound events and conditional probability. Proofs for discrete and continuous variables of propositions on expectation, variance, covariance, correlation, and conditional expectation and variance. Proofs of propositions for Bernoulli, binomial, Poisson, geometric, uniform, exponential, and gamma variables. Proof of the tail-summing proposition for expectation and the application to the geometric variable. Proof of the proposition on memoryless and exponential variables. Derivation of the distribution of sums of independent variables such as binomial, Poisson, normal, and gamma variables. Probability and moment generating functions.

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.

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.