Department of Engineering
Dean:Dr. Ármann Gylfason
Email:ru@ru.is
Website:http://www.ru.is/tvd
TeachersView
MSc in Biomedical Engineering
Semesters:4
Years:2
ETCS:120
About majorÍ 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 OutcomesView
Education cycle2
Degree titleMSc in Biomedical Engineering
Legend
Mandatory course on majorTeaching language
Optional course on majorPrerequisites for course
Print
Vorönn/Spring 2024
More infoEnergy Financial AssessmentElectiveSE-833-FA2ECTS 6
More infoEngineering OptimizationElectiveT-423-ENOPECTS 6
More infoSleepElectiveT-424-SLEEECTS 6
More infoDecision Analysis for ManagementElectiveT-603-AKVAECTS 6
More infoInternship in Engineering IElectiveT-706-INT1ECTS 6
More infoInternship in Engineering IIElectiveT-706-INT2ECTS 6
More infoSystems BiologyElectiveT-765-SYBIECTS 8
More infoProject Management and Strategic PlanningElectiveT-803-VERKECTS 8
More infoDerivatives and risk managementElectiveT-814-DERIECTS 8
More infoCreating a Complete Business Plan for a Technical Idea - Entrepreneurship and the Innovation ProcessElectiveT-814-INNOECTS 8
More infoTissue Engineering and BiomaterialsElectiveT-828-TISSECTS 8
More infoGraduate Research Opportunities IElectiveT-829-GRO1ECTS 6
More infoFinite Element Analysis in EngineeringElectiveT-844-FEMMECTS 8
More infoDigital Transformation of Medical ImagingElectiveT-845-DTMIECTS 6
More infoNeural EngineeringElectiveT-863-NEURECTS 8
More infoWind PowerElectiveT-863-WINDECTS 8
More infoPower System OperationElectiveT-867-POSYECTS 8
More infoStability and Control in Electric Power SystemsElectiveT-867-STABECTS 8
More infoProtection Philosophy for Smart-GridsElectiveT-868-PROTECTS 8
More infoMSc ThesisCoreT-899-MEISECTS 30
More infoMSc ThesisElectiveT-900-MEISECTS 30
More infoMSc thesis IIElectiveT-901-MEI2ECTS 30
More infoEntrepreneurial FinanceElectiveV-733-ENTRECTS 7,5
More infoEntrepreneurship and Starting New VenturesElectiveX-204-STOFECTS 6
More infoExchange StudiesElectiveX-699-EXCHECTS 30
Sumar/Summer 2024
More infoGraduate Research Opportunities IElectiveT-829-GRO1ECTS 6
More infoExchange StudiesElectiveX-699-EXCHECTS 30
Haustönn/Fall 2024
More infoEnergy EconomicsElectiveSE-805-EC1ECTS 6
More infoSpecial Topics in Energy IIIElectiveSE-806-STEECTS 6
More infoBiomechanicsElectiveT-561-LIFFECTS 6
More infoEmbedded System ProgrammingElectiveT-738-EMBEECTS 8
More infoSimulation IIElectiveT-806-SIMUECTS 6
More infoQuality ManagementElectiveT-807-QUALECTS 6
More infoApplying Models in ManagementElectiveT-808-NOLIECTS 8
More infoData Mining and Machine LearningCoreT-809-DATAECTS 8
More infoOptimization MethodsElectiveT-810-OPTIECTS 8
More infoApplied ProbabilityElectiveT-811-PROBECTS 8
More infoFinancial Engineering of the FirmElectiveT-814-FINAECTS 8
More infoManaging Research and Development - Methods and ModelsElectiveT-814-PRODECTS 8
More infoAdvanced Biomechanics IIElectiveT-828-BIOMECTS 8
More infoMedical Modelling and ImagingCoreT-862-IMAGECTS 8
More infoNeuro Science and TechnologyElectiveT-862-NEURECTS 8
More infoEnergy in Industrial ProcessesElectiveT-863-EIIPECTS 8
More infoNumerical fluid flow and heat transferElectiveT-864-NUFFECTS 8
More infoPrecision Machine DesignElectiveT-865-MADEECTS 8
More infoHigh Voltage EngineeringElectiveT-866-HIVOECTS 8
More infoSmart-Grid and Sustainable Power SystemsElectiveT-867-GRIDECTS 8
More infoComputer Vision ApplicationsElectiveT-869-COMPECTS 6
More infoMSc ThesisCoreT-899-MEISECTS 30
More infoMSc ThesisElectiveT-900-MEISECTS 30
More infoMSc thesis IIElectiveT-901-MEI2ECTS 30
More infoExchange StudiesElectiveX-699-EXCHECTS 30
Vorönn/Spring 2025
More infoSleepElectiveT-424-SLEEECTS 6
More infoDecision Analysis for ManagementElectiveT-603-AKVAECTS 6
More infoInternship in Engineering IElectiveT-706-INT1ECTS 6
More infoInternship in Engineering IIElectiveT-706-INT2ECTS 6
More infoRobust and Adaptive Control, with Aerospace ApplicationElectiveT-738-CONTECTS 8
More infoProject Management and Strategic PlanningElectiveT-803-VERKECTS 8
More infoDerivatives and risk managementElectiveT-814-DERIECTS 8
More infoCreating a Complete Business Plan for a Technical Idea - Entrepreneurship and the Innovation ProcessElectiveT-814-INNOECTS 8
More infoTissue Engineering and BiomaterialsElectiveT-828-TISSECTS 8
More infoFinite Element Analysis in EngineeringElectiveT-844-FEMMECTS 8
More infoNeural EngineeringElectiveT-863-NEURECTS 8
More infoWind PowerElectiveT-863-WINDECTS 8
Year
1. yearPrint
SemesterSpring 2025
Level of courseFirst cycle - Advanced / Second cycle - Introductory
Type of courseElective
PrerequisitesT-536-RENN, Fluid Dynamics
ScheduleNo schedule found.
Lecturer
Ármann Gylfason
Content
This is a project based design and experimentation course. Students will wind tunnel experiment specifically designed to evaluate specific wind farm configurations, such as wake characteristics and transport of kinetic energy. Projects will include developing and implementing the test facility, selecting and deploying appropriate sensors; in addition to analyze and process data, and interpret results.  Prerequisites: Introductory Fluid Mechanics at the level of T536RENN.  
Learning outcome - Objectives
At the end of the course, the students will have:
  • Knowledge of the fundamentals of the atmospheric boundary layer which relate to wind power.
  • Knowledge of the basics of horizontal axis wind turbines, efficiency, and energy extraction.
  • Skills in analyzing the aerodynamic performance of a given wind turbine, applying Blade Element Theory.
  • Skills to to design an experiment, applying appropriate engineering and measurment techniques to address the research goals.
  • Competence in assessing the power generation of a given wind turbine configuration.
  • Competence to analyze and present data or findings in reports and presentations, appropriate to describing the project for both scientific and general audience.
Course assessment
Final grade will be based on: Participation; Homework and small projects; Lab and design reports; Final exam.
Reading material
No reading material found.
Teaching and learning activities
Taught for 12 weeks. The class meets twice a week, discussions, presentations, lab work.
Language of instructionEnglish
More infoPower System OperationElectiveT-867-POSYECTS 8
More infoStability and Control in Electric Power SystemsElectiveT-867-STABECTS 8
More infoMSc ThesisCoreT-899-MEISECTS 30
More infoMSc ThesisElectiveT-900-MEISECTS 30
More infoMSc thesis IIElectiveT-901-MEI2ECTS 30