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

Year

1. year

Semester

Fall 2024

Level of course

6. Second cycle, advanced

Type of course

Elective

Prerequisites

T-101-STA1, Calculus I
T-302-TOLF, Statistics I
T-403-ADGE, Operation Research
T-502-HERM, Simulation

Schedule

No schedule found.

Lecturer

No lecturer found.

Content

This course is thought as a final course in the field of Operations Research ans Operations Management. Vey few new methods will be covered, the objective is rather to train students in designing and applying mathematical OR models in real life management. In each week we study a particular field of management, we analyse the role of this manager and his needs for quantitative methods and we try to search for his possibilities of applying mathematical models more than is done today. These particular fields will be marketing, inventory management, production, distribution, service, financing, quality, executive manager and finally government. This takes 8 sessions with one home assignment after each session. There is also group work where students solve a self selected real life case. Reading Material: The following textbook will be used : „Management Science Modeling“ by Winston & Albright Note that we will not follow the textbook chapter by chapter as it is organized in a different way than the course. Further reading: „Optimization in Operations Research“ by Ronald L. Rardin. Prerequisites: The students must have a good knowledge in the field of Operations Research and Operations Management, including courses likeOperations Research, Simulation, Operational Analysis and Management II, or a similar knowledge from other courses. It is assumed that the students have already learned OR methods like Linear Programming, Simulation, Network Models, Queueing Theory, Forecasting Models, Integer Programming, Nonlinear Programming, Decision Theory etc. Also that they are have been exposed to some fields of Management like Quality Management, Production Management, Project Management and Financial management.

Learning outcome - Objectives

Upon completion of the course the student should be able to demonstrate knowledge and skills in the following:

Understanding the fundamentals of the application of models in management.
Be able to develop and use models and know about the possibilities and limitations of these.
Have an overview over the most important types of practical models in Operations Research and training in designing them and applying in the various fields of management.
Be able to develope OR models for managers with Excel and also other tools like MPL and Simul8. 5. Having had the training and developed the necessary insight to use mathematical models in real life situations.

Course assessment

Reading material

No reading material found.

Teaching and learning activities

Language of instruction

English

Data Mining and Machine Learning

T-809-DATA

ECTS 8

Optimization Methods

T-810-OPTI

ECTS 8