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
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Sumar/Summer 2024
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Haustönn/Fall 2024
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More infoData Mining and Machine LearningCoreT-809-DATAECTS 8
More infoOptimization MethodsElectiveT-810-OPTIECTS 8
More infoApplied ProbabilityElectiveT-811-PROBECTS 8
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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
Year
1. yearPrint
SemesterFall 2024
Level of course5. Second cycle, intermediate
Type of courseElective
PrerequisitesT-301-MATH, Mathematics III
T-507-VARM, Thermodynamics
T-536-RENN, Fluid Dynamics
T-606-HEAT, Heat Transfer
ScheduleTaught for 12 weeks.
Lecturer
Yonatan Afework Tesfahunegn
Content
Level of course: 3. Undergraduate (First cycle), advanced / 4.-5. Graduate (Second cycle), introductory-intermediate.
Type of course: Core in MSc Mechanical Engineering, elective for other programmes.
Prerequisites (mandatory): Mathematics III T-301-MATH; Thermodynamics T-507-VARM; Fluid Dynamics T-536-RENN, T-606-HEAT Heat Transfer (may be taken parallelly).The main purpose of this course is to introduce the basic principles of computational fluid dynamics (CFD) for analyzing fluid flows and heat transfer. Hands on exercises are used to study the basic theory of CFD through programming and using existing commercial and open source CFD codes. Finite difference and finite volume techniques are emphasized.Reading material: Essential computational fluid dynamics, Zikanov Oleg, 2010.
Learning outcome - Objectives
Knowledge: After completing this course the students will have knowledge on:
•    Mathematical modeling
•    Classification of basic equations of fluid dynamics
•    Discretization methods
•    Stability and accuracy analysis
•    Solution methodsSkills: After completion of this course the students will have skills on:
•     Practical use and programming of numerical methods in fluid dynamics
•    Setting up a given problem using commercial and open source CFD codes
•    Generating computation grids
•    Choosing appropriate boundary conditions for model problems
•    Interpreting the results criticallyCompetence: After completion of this course, the students will have competence on:
•    Numerical solution of model problems in fluid dynamics and heat transfer
•    Checking and assessing basic numerical methods for fluid flow and heat transfer problems
Course assessment
Assessment is based on: Programming assignments and homework, Programming project; Grid generation assignments; CFD code assignments ; CFD code projects ; Quiz.
Reading material
No reading material found.
Teaching and learning activities

Language of instructionEnglish
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