- Do you enjoy being able to understand complex challenges?
- Do you want to better understand the potential of computers to solve problems?
- Are you interested in learning about the latest knowledge in electrical and computer engineering?
- Would you like to have the professional title of electrical engineer?
The MS in electrical and computer engineering provides students with the most up-to-date knowledge in the field. Students also learn to use appropriate tools and software for data analysis. They are trained in understanding complex challenges, setting targets, and creating and following a project schedule.
Students are expected to learn how to take on independent research projects, adopting a self-sufficient approach, an open-minded attitude and strong critical thinking skills.
At the start of the programme, students choose an administrative supervisor from among the permanent teaching staff at the Department. In consultation with the administrative supervisor, the student selects courses that will develop their knowledge in their area of interest. The administrative supervisor will also guide the student through the research project, which ends with writing a thesis and giving a lecture on the findings.
Programme structure
The programme is 120 ECTS and is organised as two years of full-time study.
The programme is made up of:
- Courses, 60 ECTS
- Master's thesis, 60 ECTS
Students may choose between the following specialisations:
Organisation of teaching
Courses are taught in Icelandic but most textbooks are in English.
Main objectives
Students are expected to specialise in a specific area of electrical and computer engineering and adopt disciplined independent working practices that will serve them well in their future careers.
Other
After completing the Master's degree in electrical and computer engineering, students can apply for the right to use the title of engineer. This professional title is legally protected.
Completing a Master's degree in electrical and computer engineering allows you to apply for doctoral studies.
- A BS degree in engineering or equivalent, with a minimum average grade of 6.5. In addition to the BS degree there may be some preliminary course requirements.
- All international applicants, whose native language is not English, are required to provide results of the TOEFL (79) or IELTS (6.5) tests as evidence of English proficiency.
- Applicants are asked to submit a letter of motivation, 1 page, where they should state the reasons they want to pursue graduate work, their academic goals and a suggestion or outline for a final paper.
- Letters of recommendation (2) should be submitted. These should be from faculty members or others who are familiar with your academic work and qualified to evaluate your potential for graduate study. Please ask your referees to send their letters of recommendation directly to the University of Iceland electronically by e-mail (PDF file as attachment) to transcript@hi.is.
120 ECTS credits have to be completed for the qualification. Organised as a two-year programme. The course of study is 60 ECTS credits in courses and 60 ECTS credits in thesis project.
- CV
- Statement of purpose
- Reference 1, Name and email
- Reference 2, Name and email
- Certified copies of diplomas and transcripts
- Proof of English proficiency
Further information on supporting documents can be found here
Programme structure
Check below to see how the programme is structured.
- Year unspecified
- Fall
- Not taught this semesterSelected topics in Electrical and Computer Engineering
- Final project
- Thesis skills: project management, writing skills and presentation
- Selected topics in Electrical and Computer Engineering
- Medical Imaging Systems
- Spring 1
- Not taught this semesterRemote Sensing and Processing of Remote Sensing Data
- Introduction to machine learning and artificial intelligence
- Not taught this semesterSelected topics in Electrical and Computer Engineering
- Embedded Systems Engineering
- Final project
- Selected topics in Electrical and Computer Engineering
- Not taught this semesterFundaments of the Internet
- Linear Systems
- Robotics and Computer Vision
- Science and innovation in medical technology
- Not taught this semesterWireless communications
Selected topics in Electrical and Computer Engineering (RAF511M)
Lectures on and study of selected topics in current research and recent development in the field of Electrical and Computer engineering. Topics may vary.
Final project (ROT441L)
- The topic of the Master's thesis must be chosen under the guidance of the supervisor of the student. The thesis represents 60 credits.
- The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
- Final project exam is divided into two parts: Oral examination and open lecture
- Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
- The student delivers a thesis and a project poster.
- According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
- All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
- According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.
Learning Outcomes:
Upon completion of an MS thesis, the student should be able to:
- Formulate engineering design project / research questions
- Use an appropriate theoretical framework to shed light on his / her topic
- Analyze and solve engineering tasks in a specialized field.
- Perform a literature search and a thorough review of the literature.
- Demonstrate initiative and independent creative thinking.
- Use economic methodology to answer a specific research question
- Competently discuss the current knowledge within the field and contribute to it with own research
- Work with results, analyze uncertainties and limitations and interpret results.
- Assess the scope of a research project and plan the work accordingly
- Effectively display results and provide logical reasoning and relate results to the state of knowledge.
Thesis skills: project management, writing skills and presentation (VON001F)
Introduction to the scientific method. Ethics of science and within the university community.
The role of the student, advisors and external examiner. Effective and honest communications.
Conducting a literature review, using bibliographic databases and reference handling. Thesis structure, formulating research questions, writing and argumentation. How scientific writing differs from general purpose writing. Writing a MS study plan and proposal. Practical skills for presenting tables and figures, layout, fonts and colors. Presentation skills. Project management for a thesis, how to divide a large project into smaller tasks, setting a work plan and following a timeline. Life after graduate school and being employable.
Selected topics in Electrical and Computer Engineering (RAF054F)
Lectures on and study of selected topics in current research and recent development in the field of Electrical and Computer engineering. Topics may vary.
Medical Imaging Systems (RAF507M)
Introduction to the instrumentation, physics and signal processing methods used in medical imaging systems from a signal processing perspective. The modalities covered include projection radiography, X-ray computed tomography, nuclear medicine (i.e. SPECT and PET), ultrasound, and magnetic resonance imaging. The primary focus is on the methods required to reconstruct images within each modality, the kind of signals being measured and how these data culminate in an image. Attention will also be given to image quality in each modality, including resolution, contrast, signal-to-noise ratio, and distortion of images.
Remote Sensing and Processing of Remote Sensing Data (RAF201M)
his course provides a basic understanding of remote sensing with the focus being on image processing techniques that are used to analyze remote sensing images.
An introduction is given to remote sensing and remote sensing images;
* image generation
* image characteristics
* errors and corrections
* the platforms used to acquire remote sensing images
Signal processing and image enhancement methods for remote sensing images are explored.
An introduction to multi- and hyperspectral images is given. Multi- and hyperspectral image analysis methods such as
* feature reduction
* spectral domain transforms
* classification
* image fusion
* hyperspectral unmixing
are explored.
Introduction to machine learning and artificial intelligence (RAF620M)
Pattern recognition is concerned with the development of methods for finding patterns in data and use them for example for classification. Pattern recognition is closely related to machine learning and statistical signal processing. Pattern recognition has extensive application areas, for example signal processing, control, computer vision, and medical imaging. The purpose of this course is to give the student in depth understanding and hands on experience with pattern recognition. The content of the courses is supervised learning e.g., regression and classification, unsupervised learning such as principal component analysis, and introduction to deep learning.
Selected topics in Electrical and Computer Engineering (RAF511M)
Lectures on and study of selected topics in current research and recent development in the field of Electrical and Computer engineering. Topics may vary.
Embedded Systems Engineering (TÖV602M)
The course introduces programming techniques for embedded systems. Emphasis is on concurrency, real-time systems and event driven programming. The course also addresses programming language support for the aforementioned issues. Unified Modeling Language (UML) for real-time systems is introduced along with the design and implementation of multitasking in embedded systems, and programming of threads that share memory and communicate. The course has lab sessions where development environment and boards from Xilinx are used.
Final project (ROT441L)
- The topic of the Master's thesis must be chosen under the guidance of the supervisor of the student. The thesis represents 60 credits.
- The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
- Final project exam is divided into two parts: Oral examination and open lecture
- Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
- The student delivers a thesis and a project poster.
- According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
- All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
- According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.
Learning Outcomes:
Upon completion of an MS thesis, the student should be able to:
- Formulate engineering design project / research questions
- Use an appropriate theoretical framework to shed light on his / her topic
- Analyze and solve engineering tasks in a specialized field.
- Perform a literature search and a thorough review of the literature.
- Demonstrate initiative and independent creative thinking.
- Use economic methodology to answer a specific research question
- Competently discuss the current knowledge within the field and contribute to it with own research
- Work with results, analyze uncertainties and limitations and interpret results.
- Assess the scope of a research project and plan the work accordingly
- Effectively display results and provide logical reasoning and relate results to the state of knowledge.
Selected topics in Electrical and Computer Engineering (RAF055F)
Lectures on and study of selected topics in current research and recent development in the field of Electrical and Computer engineering. Topics may vary.
Fundaments of the Internet (RAF617M)
Modern day telecommunications are characterised by the fact that communicated data is carried on fixed telecommunications infrastructure on a majority of the path between tranmitter and receiver. Wireless infrastructure often conveys the signals at the end of the path. This yields both high speed and the comfort of wireless communications. It is of utmost importance for engineers working in telecoms to have a fundamental knowledge of fixed networks and the range of technologies deployed.
In this course, the structure of fixed backbone and access networks will be described. Optical fibre and related technologies will be introduced, e.g. DWDM, SDH, Ethernet, ATM and MPLS-TP. Access network technologies on copper, coax and optical fibres will be treated, e.g. ADSL. VDSL, G.fast and DOCSIS. Different FTTH (Fibre to the Home) technologies will be treated such as PON (Passive Optical Network), Active Ethernet and point-to-point Ethernet.
IP (Internet Protocol) has become a fundamental technology for modern fixed networks. IP native technologies will be described from the physical to the application layer. On the link layer, Ethernet will be in the focus as well as MPLS. Circuit and packet switching will be treated as well as circuit and packet orientation of networks. Sevices such as PSTN, VoIP, OTT and P2P will be treated. Backhauling of wireless networks such as mobile networks and Wi-Fi will also be treated.
In introduction to network virtualisation and network function virtualisation (NFV) will be given as well as software defined networking (SDN). Legal and regulatory aspects will be introduced and aspects like network neutrality discfussed. Important players and stakeholders will be discussed, e.g. Google, Apple, Microsoft, Netflix and telecommunications service providers.
Finally, local area networks will be discussed, home networking, smart homes, set-top-boxes, NAS, PLC, plastic optical fibres, MOCA and Wi-Fi introduced.
The teaching form will be lectures and projects on IP communications will be worked. Students will write four papers on selected subjects and give presentations.
Linear Systems (RAF602M)
- Controllers for difficult systems
- Design of state feedback controllers
- Design of asymptotic observers
- Similarity transformations to canonical state space forms
- Controllability and observability
- Optimization (Linear Quadratic Regulator - LQR) - linear quadratic state feedback controllers
- Kalman filtering
- State feedback controllers and observers in transfer function form, reduced order observers
- Disturbance observers
- Feedforward (FF) controllers and Internal Model Controllers (IMC)
- Coefficient matching PID controllers
- Model Prediction Control (MPC)
- Systems Identification
Robotics and Computer Vision (RAF614M)
Mathematical foundations of coordinate systems and transformations. Kinematics, direct and reverse solutions. Analysis and control of movements. Trajectories in three-dimensional space and interpolation between programmed trajectory points. Use of computer vision, sensors and end-effectors in robotics. Control and programming of robots. Excercises and simulations.
Science and innovation in medical technology (RAF615M)
This course provides an introduction to the diverse applications of electrical and computer engineering in medicine and medical technology. Students will explore cutting-edge developments in the field through guest lecturers from industry professionals in Iceland who apply engineering methods to solve critical medical challenges. Key topics include signal and image processing in medicine and genetics, signal processing and sensors in relation to sleep and the central nervous system, prosthetics, artificial intelligence, and more. Finally, students will have the opportunity to design their own research projects focusing on applying engineering solutions to address medical challenges. Through this work, students will be introduced to writing research proposals and grant applications, with relevance to both industry and academic settings.
Wireless communications (RAF616M)
Digital mobile telecommunication systems were first deployed in the early 1990s. This was the basis for a great societal change, people now being able to contact others where- and whenever needed. The emergence of the smartphone and high speed mobile infrastructure has furthermore revolutionised peoples’ possibilities to gain information in text-, sound-, and video formats almost irrespective of place and time. The development of Wi-Fi has also been fast in recent years causing people to enjoy more and more “wireless freedom” in their homes and workplaces. Wireless communications are important in many other areas including television, radio broadcast, marine and aeronautical communications, positioning and navigation systems. Internet of things or device-to-device communications are also wireless to a large extent.
In this course there will be treatment of the fundamentals of wireless, including antennas and wave propagation, transmission lines, high-frequency circuits and characteristics of different mobile phone generations, from the first to the fifth. This includes modulation and multiplexing/multiple access technologies such as QAM, FDMA, CDMA,TDMA, W-CDMA, OFDM(A) and MIMO antenna technology. The duplexing technologies FDD and TDD will be treated as well as mobile service concepts such as data connectivity and voice incl. VoLTE. Standards for Wi-Fi, Bluetooth, Zigbee and Z-wave will be covered along with a short handling of Wireless sensor networks.
Furthermore, short description will be given on digital broadcasting such as DVB-T and DVB-S, satellite communications and satellite positioning/navigation systems.
The form of the course will be lectures and discussions. Students will work on four projects and write reports, hold short presentations or present their results otherwise.
- Fall
- Not taught this semesterRAF511MSelected topics in Electrical and Computer EngineeringElective course8Free elective course within the programme8 ECTS, creditsCourse Description
Lectures on and study of selected topics in current research and recent development in the field of Electrical and Computer engineering. Topics may vary.
Language of instruction: IcelandicFace-to-face learningAttendance required in classROT441LFinal projectMandatory (required) course0A mandatory (required) course for the programme0 ECTS, creditsCourse Description- The topic of the Master's thesis must be chosen under the guidance of the supervisor of the student. The thesis represents 60 credits.
- The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
- Final project exam is divided into two parts: Oral examination and open lecture
- Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
- The student delivers a thesis and a project poster.
- According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
- All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
- According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.
Learning Outcomes:
Upon completion of an MS thesis, the student should be able to:
- Formulate engineering design project / research questions
- Use an appropriate theoretical framework to shed light on his / her topic
- Analyze and solve engineering tasks in a specialized field.
- Perform a literature search and a thorough review of the literature.
- Demonstrate initiative and independent creative thinking.
- Use economic methodology to answer a specific research question
- Competently discuss the current knowledge within the field and contribute to it with own research
- Work with results, analyze uncertainties and limitations and interpret results.
- Assess the scope of a research project and plan the work accordingly
- Effectively display results and provide logical reasoning and relate results to the state of knowledge.
Self-studyPrerequisitesPart of the total project/thesis creditsVON001FThesis skills: project management, writing skills and presentationElective course4Free elective course within the programme4 ECTS, creditsCourse DescriptionIntroduction to the scientific method. Ethics of science and within the university community.
The role of the student, advisors and external examiner. Effective and honest communications.
Conducting a literature review, using bibliographic databases and reference handling. Thesis structure, formulating research questions, writing and argumentation. How scientific writing differs from general purpose writing. Writing a MS study plan and proposal. Practical skills for presenting tables and figures, layout, fonts and colors. Presentation skills. Project management for a thesis, how to divide a large project into smaller tasks, setting a work plan and following a timeline. Life after graduate school and being employable.Face-to-face learningOnline learningPrerequisitesRAF054FSelected topics in Electrical and Computer EngineeringElective course10Free elective course within the programme10 ECTS, creditsCourse DescriptionLectures on and study of selected topics in current research and recent development in the field of Electrical and Computer engineering. Topics may vary.
Self-studyThe course is taught if the specified conditions are metPrerequisitesRAF507MMedical Imaging SystemsElective course6Free elective course within the programme6 ECTS, creditsCourse DescriptionIntroduction to the instrumentation, physics and signal processing methods used in medical imaging systems from a signal processing perspective. The modalities covered include projection radiography, X-ray computed tomography, nuclear medicine (i.e. SPECT and PET), ultrasound, and magnetic resonance imaging. The primary focus is on the methods required to reconstruct images within each modality, the kind of signals being measured and how these data culminate in an image. Attention will also be given to image quality in each modality, including resolution, contrast, signal-to-noise ratio, and distortion of images.
Face-to-face learningPrerequisites- Spring 2
Not taught this semesterRAF201MRemote Sensing and Processing of Remote Sensing DataElective course10Free elective course within the programme10 ECTS, creditsCourse Descriptionhis course provides a basic understanding of remote sensing with the focus being on image processing techniques that are used to analyze remote sensing images.
An introduction is given to remote sensing and remote sensing images;
* image generation
* image characteristics
* errors and corrections
* the platforms used to acquire remote sensing imagesSignal processing and image enhancement methods for remote sensing images are explored.
An introduction to multi- and hyperspectral images is given. Multi- and hyperspectral image analysis methods such as
* feature reduction
* spectral domain transforms
* classification
* image fusion
* hyperspectral unmixing
are explored.Face-to-face learningPrerequisitesRAF620MIntroduction to machine learning and artificial intelligenceElective course6Free elective course within the programme6 ECTS, creditsCourse DescriptionPattern recognition is concerned with the development of methods for finding patterns in data and use them for example for classification. Pattern recognition is closely related to machine learning and statistical signal processing. Pattern recognition has extensive application areas, for example signal processing, control, computer vision, and medical imaging. The purpose of this course is to give the student in depth understanding and hands on experience with pattern recognition. The content of the courses is supervised learning e.g., regression and classification, unsupervised learning such as principal component analysis, and introduction to deep learning.
Face-to-face learningPrerequisitesNot taught this semesterRAF511MSelected topics in Electrical and Computer EngineeringElective course8Free elective course within the programme8 ECTS, creditsCourse DescriptionLectures on and study of selected topics in current research and recent development in the field of Electrical and Computer engineering. Topics may vary.
Face-to-face learningPrerequisitesTÖV602MEmbedded Systems EngineeringElective course6Free elective course within the programme6 ECTS, creditsCourse DescriptionThe course introduces programming techniques for embedded systems. Emphasis is on concurrency, real-time systems and event driven programming. The course also addresses programming language support for the aforementioned issues. Unified Modeling Language (UML) for real-time systems is introduced along with the design and implementation of multitasking in embedded systems, and programming of threads that share memory and communicate. The course has lab sessions where development environment and boards from Xilinx are used.
Face-to-face learningPrerequisitesROT441LFinal projectMandatory (required) course0A mandatory (required) course for the programme0 ECTS, creditsCourse Description- The topic of the Master's thesis must be chosen under the guidance of the supervisor of the student. The thesis represents 60 credits.
- The master’s student writes a thesis according to the School’s template and defends it in a master’s defense.
- Final project exam is divided into two parts: Oral examination and open lecture
- Present at the oral exam is the student, supervisor, examiner and members of the Master's committee. The student presents a brief introduction on his / her project. It is important that the objectives and research question(s) are clearly stated, and that main findings and lessons to be drawn from the project are discussed.
- The student delivers a thesis and a project poster.
- According to the rules of the Master's program, all students who intend to graduate from the School of Engineering and Natural Sciences need to give a public lecture on their final project.
- All students graduating from the University of Iceland shall submit an electronic copy of their final Master's thesis to Skemman.is. Skemman is the digital repository for all Icelandic universities and is maintained by the National and University Library.
- According to regulations of University of Iceland all MS thesis should have open access after they have been submitted to Skemman.
Learning Outcomes:
Upon completion of an MS thesis, the student should be able to:
- Formulate engineering design project / research questions
- Use an appropriate theoretical framework to shed light on his / her topic
- Analyze and solve engineering tasks in a specialized field.
- Perform a literature search and a thorough review of the literature.
- Demonstrate initiative and independent creative thinking.
- Use economic methodology to answer a specific research question
- Competently discuss the current knowledge within the field and contribute to it with own research
- Work with results, analyze uncertainties and limitations and interpret results.
- Assess the scope of a research project and plan the work accordingly
- Effectively display results and provide logical reasoning and relate results to the state of knowledge.
Self-studyPrerequisitesPart of the total project/thesis creditsRAF055FSelected topics in Electrical and Computer EngineeringElective course10Free elective course within the programme10 ECTS, creditsCourse DescriptionLectures on and study of selected topics in current research and recent development in the field of Electrical and Computer engineering. Topics may vary.
Self-studyThe course is taught if the specified conditions are metPrerequisitesNot taught this semesterRAF617MFundaments of the InternetElective course6Free elective course within the programme6 ECTS, creditsCourse DescriptionModern day telecommunications are characterised by the fact that communicated data is carried on fixed telecommunications infrastructure on a majority of the path between tranmitter and receiver. Wireless infrastructure often conveys the signals at the end of the path. This yields both high speed and the comfort of wireless communications. It is of utmost importance for engineers working in telecoms to have a fundamental knowledge of fixed networks and the range of technologies deployed.
In this course, the structure of fixed backbone and access networks will be described. Optical fibre and related technologies will be introduced, e.g. DWDM, SDH, Ethernet, ATM and MPLS-TP. Access network technologies on copper, coax and optical fibres will be treated, e.g. ADSL. VDSL, G.fast and DOCSIS. Different FTTH (Fibre to the Home) technologies will be treated such as PON (Passive Optical Network), Active Ethernet and point-to-point Ethernet.
IP (Internet Protocol) has become a fundamental technology for modern fixed networks. IP native technologies will be described from the physical to the application layer. On the link layer, Ethernet will be in the focus as well as MPLS. Circuit and packet switching will be treated as well as circuit and packet orientation of networks. Sevices such as PSTN, VoIP, OTT and P2P will be treated. Backhauling of wireless networks such as mobile networks and Wi-Fi will also be treated.
In introduction to network virtualisation and network function virtualisation (NFV) will be given as well as software defined networking (SDN). Legal and regulatory aspects will be introduced and aspects like network neutrality discfussed. Important players and stakeholders will be discussed, e.g. Google, Apple, Microsoft, Netflix and telecommunications service providers.
Finally, local area networks will be discussed, home networking, smart homes, set-top-boxes, NAS, PLC, plastic optical fibres, MOCA and Wi-Fi introduced.The teaching form will be lectures and projects on IP communications will be worked. Students will write four papers on selected subjects and give presentations.
Face-to-face learningPrerequisitesCourse Description- Controllers for difficult systems
- Design of state feedback controllers
- Design of asymptotic observers
- Similarity transformations to canonical state space forms
- Controllability and observability
- Optimization (Linear Quadratic Regulator - LQR) - linear quadratic state feedback controllers
- Kalman filtering
- State feedback controllers and observers in transfer function form, reduced order observers
- Disturbance observers
- Feedforward (FF) controllers and Internal Model Controllers (IMC)
- Coefficient matching PID controllers
- Model Prediction Control (MPC)
- Systems Identification
Face-to-face learningPrerequisitesRAF614MRobotics and Computer VisionElective course6Free elective course within the programme6 ECTS, creditsCourse DescriptionMathematical foundations of coordinate systems and transformations. Kinematics, direct and reverse solutions. Analysis and control of movements. Trajectories in three-dimensional space and interpolation between programmed trajectory points. Use of computer vision, sensors and end-effectors in robotics. Control and programming of robots. Excercises and simulations.
Face-to-face learningPrerequisitesRAF615MScience and innovation in medical technologyElective course6Free elective course within the programme6 ECTS, creditsCourse DescriptionThis course provides an introduction to the diverse applications of electrical and computer engineering in medicine and medical technology. Students will explore cutting-edge developments in the field through guest lecturers from industry professionals in Iceland who apply engineering methods to solve critical medical challenges. Key topics include signal and image processing in medicine and genetics, signal processing and sensors in relation to sleep and the central nervous system, prosthetics, artificial intelligence, and more. Finally, students will have the opportunity to design their own research projects focusing on applying engineering solutions to address medical challenges. Through this work, students will be introduced to writing research proposals and grant applications, with relevance to both industry and academic settings.
Face-to-face learningPrerequisitesNot taught this semesterRAF616MWireless communicationsElective course6Free elective course within the programme6 ECTS, creditsCourse DescriptionDigital mobile telecommunication systems were first deployed in the early 1990s. This was the basis for a great societal change, people now being able to contact others where- and whenever needed. The emergence of the smartphone and high speed mobile infrastructure has furthermore revolutionised peoples’ possibilities to gain information in text-, sound-, and video formats almost irrespective of place and time. The development of Wi-Fi has also been fast in recent years causing people to enjoy more and more “wireless freedom” in their homes and workplaces. Wireless communications are important in many other areas including television, radio broadcast, marine and aeronautical communications, positioning and navigation systems. Internet of things or device-to-device communications are also wireless to a large extent.
In this course there will be treatment of the fundamentals of wireless, including antennas and wave propagation, transmission lines, high-frequency circuits and characteristics of different mobile phone generations, from the first to the fifth. This includes modulation and multiplexing/multiple access technologies such as QAM, FDMA, CDMA,TDMA, W-CDMA, OFDM(A) and MIMO antenna technology. The duplexing technologies FDD and TDD will be treated as well as mobile service concepts such as data connectivity and voice incl. VoLTE. Standards for Wi-Fi, Bluetooth, Zigbee and Z-wave will be covered along with a short handling of Wireless sensor networks.
Furthermore, short description will be given on digital broadcasting such as DVB-T and DVB-S, satellite communications and satellite positioning/navigation systems.
The form of the course will be lectures and discussions. Students will work on four projects and write reports, hold short presentations or present their results otherwise.Face-to-face learningPrerequisitesAttendance required in class