MySchool

Department of Engineering
Dean:	Dr. Ármann Gylfason
Email:	ru@ru.is
Website:	http://www.ru.is/tvd
Teachers	View

MSc in Biomedical Engineering
Semesters:	4
Years:	2
ETCS:	120
About major	Í heilbrigðisverkfræði er verkfræðilegum aðferðum beitt til að fást við líffræðileg og læknisfræðileg viðfangsefni, s.s. uppgötvun og þróun nýrrar tækni og aðferða við greiningu og meðferð sjúkdóma. Hér sameinast ólíkar greinar eins og stærðfræði og eðlisfræði við sameindalíffræði og lífeðlisfræði í leit að lausnum heilsufarslegra viðfangsefna. MSc námið er mótað að kröfum Verkfræðingafélags Íslands um fullnaðarmenntun í verkfræði.
Learning Outcomes	View
Education cycle	2
Degree title	MSc in Biomedical Engineering

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	Mandatory course on major		Teaching language
	Optional course on major		Prerequisites for course

Vorönn/Spring 2024

Energy Financial Assessment

SE-833-FA2

ECTS 6

Engineering Optimization

T-423-ENOP

ECTS 6

Sleep

T-424-SLEE

ECTS 6

Decision Analysis for Management

T-603-AKVA

ECTS 6

Internship in Engineering I

T-706-INT1

ECTS 6

Internship in Engineering II

T-706-INT2

ECTS 6

Systems Biology

T-765-SYBI

ECTS 8

Project Management and Strategic Planning

T-803-VERK

ECTS 8

Derivatives and risk management

T-814-DERI

ECTS 8

Creating a Complete Business Plan for a Technical Idea - Entrepreneurship and the Innovation Process

T-814-INNO

ECTS 8

Tissue Engineering and Biomaterials

T-828-TISS

ECTS 8

Graduate Research Opportunities I

T-829-GRO1

ECTS 6

Finite Element Analysis in Engineering

T-844-FEMM

ECTS 8

Digital Transformation of Medical Imaging

T-845-DTMI

ECTS 6

Neural Engineering

T-863-NEUR

ECTS 8

Wind Power

T-863-WIND

ECTS 8

Power System Operation

T-867-POSY

ECTS 8

Stability and Control in Electric Power Systems

T-867-STAB

ECTS 8

Protection Philosophy for Smart-Grids

T-868-PROT

ECTS 8

MSc Thesis

T-899-MEIS

ECTS 30

MSc Thesis

T-900-MEIS

ECTS 30

MSc thesis II

T-901-MEI2

ECTS 30

Entrepreneurial Finance

V-733-ENTR

ECTS 7,5

Entrepreneurship and Starting New Ventures

X-204-STOF

ECTS 6

Exchange Studies

X-699-EXCH

ECTS 30

Sumar/Summer 2024

Graduate Research Opportunities I

T-829-GRO1

ECTS 6

Exchange Studies

X-699-EXCH

ECTS 30

Haustönn/Fall 2024

Energy Economics

SE-805-EC1

ECTS 6

Special Topics in Energy III

SE-806-STE

ECTS 6

Biomechanics

T-561-LIFF

ECTS 6

Embedded System Programming

T-738-EMBE

ECTS 8

Simulation II

T-806-SIMU

ECTS 6

Quality Management

T-807-QUAL

ECTS 6

Applying Models in Management

T-808-NOLI

ECTS 8

Data Mining and Machine Learning

T-809-DATA

ECTS 8

Optimization Methods

T-810-OPTI

ECTS 8

Applied Probability

T-811-PROB

ECTS 8

Financial Engineering of the Firm

T-814-FINA

ECTS 8

Managing Research and Development - Methods and Models

T-814-PROD

ECTS 8

Advanced Biomechanics II

T-828-BIOM

ECTS 8

Medical Modelling and Imaging

T-862-IMAG

ECTS 8

Neuro Science and Technology

T-862-NEUR

ECTS 8

Energy in Industrial Processes

T-863-EIIP

ECTS 8

Numerical fluid flow and heat transfer

T-864-NUFF

ECTS 8

Precision Machine Design

T-865-MADE

ECTS 8

High Voltage Engineering

T-866-HIVO

ECTS 8

Year

1. year

Semester

Fall 2024

Level of course

6. Second cycle, advanced

Type of course

Elective

Prerequisites

No prerequisites.

Schedule

No schedule found.

Lecturer

No lecturer found.

Content

Content: • Electric field characteristics. Analytical estimation of electric fields.• Numerical computing of voltage distributions and electric fields using Finite-Difference codes. Numerical solving of Laplace Equation.• Numerical analysis of E-fields using CST EM Studio.• Generation of DC, AC and impulse high-voltages.• Measurement of DC, AC and impulse high-voltages.• Breakdown in gases, liquids, and solid dielectrics. Application of insulating materials in electrical components. Design of insulators.• Overvoltage phenomenon.

Learning outcome - Objectives

Knowledge: By the end of the course the students will be able:

to understand basic concepts and phenomena relevant to dimensioning and evaluation of high voltage (HV) components with regard to electrical, electro-mechanical, and thermal stress of insulators and conductors,
to identify key component’s parameters and define critical quantities/figures of HV components,
to examine the influence of the identified component’s parameters on the critical quantities/figures,
to differentiate and subsequently prioritise the critical figures with regard to safe and reliable operation of a particular component/insulator, as well as
to reliably estimate values and uncertainties of relevant figures.

Skills: By the completion of the course the students should be able:

to identify electric field characteristics (as well other related quantities, e.g., temperature, pressure, current, etc.,) and material parameters appropriate for a particular HV problem,
to use analytical methods to estimate: HV components/insulation characteristics, potential relief in the electric stress due to proper component dimensioning/grading, possible value of electric field build up due to insulation defects,
to develop, modify and, use finite-difference numerical codes for computing and visualization of electric fields and voltage distributions,
to set up and use electric schematic evaluators for steady-state and transient thermal analyses and ampacity evaluation of HV cables,
to simulate electric stress using CST EM studio,
to make a state of the art review on a particular HV problem using available databases (e.g., ieeexplore), as well as to evaluate reliability of the available formulas and approaches for HV problems.

Competence: By the completion of the course, the students should have developed a basic vision of existing methods and tools relevant to design and analysis of HV components/insulators. Completion of the course assignments requires the student (a) to elaborate the work plan for every assignment, (b) to list modelling approximations/assumptions, (c) to define the figures of interest, (d) to configure evaluation tools, (e) to interpret the evaluation results, (f) to present the completed assignment in the form of a report describing the problem formulation, description of methods, results, conclusion, and bibliography.

Course assessment

Projects (incl. project reports): 3 x 25% = 75%; Subject reviews (incl. ppt-presentations): 2 x 12.5% = 25%.

Reading material

No reading material found.

Teaching and learning activities

Lectures and practical (project) sessions.

Language of instruction

English

Smart-Grid and Sustainable Power Systems

T-867-GRID

ECTS 8

Computer Vision Applications