Course syllabus adopted 2023-02-16 by Head of Programme (or corresponding).
Overview
- Swedish nameBiomedicinsk modellering och simulering
- CodeEEN035
- Credits7.5 Credits
- OwnerMPMED
- Education cycleSecond-cycle
- Main field of studyElectrical Engineering, Biomedical engineering
- DepartmentELECTRICAL ENGINEERING
- GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Course round 1
- Teaching language English
- Application code 41115
- Block schedule
- Open for exchange studentsYes
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
---|---|---|---|---|---|---|---|
0119 Examination 4.5 c Grading: TH | 4.5 c |
| |||||
0219 Laboratory 3 c Grading: UG | 3 c |
In programmes
- MPHPC - HIGH-PERFORMANCE COMPUTER SYSTEMS, MSC PROGR, Year 2 (elective)
- MPMED - BIOMEDICAL ENGINEERING, MSC PROGR, Year 1 (compulsory)
Examiner
- Andreas Fhager
- Head of Unit, Signal Processing and Biomedical Engineering, Electrical Engineering
Eligibility
General entry requirements for Master's level (second cycle)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Specific entry requirements
English 6 (or by other approved means with the equivalent proficiency level)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Course specific prerequisites
Basic knowledge in signal processing or linear transforms, mechanics and electric circuits. Basic knowledge in programming, (MATLAB).Undergraduate mathematics equivalent to what is obtained after three years at the Biomedical Engineering program. Particularly important is knowledge of linear algebra and ordinary differential equations.
Aim
The aim is to introduce and apply methods of general interest in modeling and simulations. The course aims at giving a mix between theory and hands on practice in relevant application areas. The focus is to study methods and applications that are of relevance in biomedical engineering within diagnostic and therapeutic applications as well as for physiological processes.Learning outcomes (after completion of the course the student should be able to)
- describe general methods and principles for modeling and simulating a system.
- apply these principles when designing mathematical models for realistic systems.
- implement and use computer based modeling and simulation for studying relevant problems within the field of biomedical engineering.
- apply these methods and principles for modeling of systems and processes relevant for diagnostics, treatment and as well as different physiological processes.
- critically evaluate the applicability and usability for different modells and simulation techniques.
Content
This course contains studying methods and principles used to construct mathematical models of dynamical systems and how to numerically solve or simulate them.The modeling methods studied in the course are based on basic physical principles and system identification.
Numerical simulation methods are studied, with particular emphasis on their accuracy and stability.
Methods and modeling principles of general interest are studied, however with a particular focus on methods that are relevant for modeling of biomedical applications within diagnostics and treatment as well as for modeling of physiological processes.
Organisation
The course contains lectures, exercises, project work and computer laboratory sessions.Literature
Lennart Ljung, Torkel Glad. Modeling and Identification of Dynamic Systems, 2021 ed. 2, Studentlitteratur, ISBN: 978-91-44-15345-2.(Course literature can be changed up to eight weeks before course start)
Examination including compulsory elements
The grading will be based on a written exam, grading scale TH.Project works / computer laboratory work must be passed.
The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.