Course syllabus

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Course-PM

EEN035 Modelling and Simulation in Biomedical Engineering lp1 HT2021 (7.5 hp)

Course is offered by the department of Electrical Engineering

Contact details

Course purpose

The purpose of the course is to introduce and apply methods of general interest in modelling 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.

Course 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 modelling 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 modelling principles of general interest are studied, however with a particular focus on methods that are relevant for modelling of biomedical applications within diagnostics and treatment as well as for modelling of physiological processes.

Schedule

Here is a link to the general schedule in TimeEdit

For detailed planning see the information on this Canvas page.

Course literature

Lennart Ljung, Torkel Glad. Modeling and Identification of Dynamic Systems, 2016, ed. 1:2, Studentlitteratur, ISBN: 978-91-44-11688-4. Available at Chalmers book store STORE.

Supplementary books:

Suresh R. Devasahayam. Signals and Systems in Biomedical Engineering: Physiological Systems Modeling and Signal Processing 2019, Third ed, Springer Nature Singapore Pte Ltd. ISBN 978-981-13-3530-3. Available at the library as eBook.

Stanley M. Dunn, Alkis Constantinides, Prabhas V. Moghe. Numerical methods in biomedical engineering, Elsevier Science & Technology, 2005. ISBN 9780080470801. Available at the library as eBook.

Additional material will be made available during the course and uploaded on the course page. 

Course design

The course consists of lectures, exercises, self-study sessions and home assignments.

In the lectures, the basic theory is presented and exemplified. Based on the lecture material problem solving is exemplified and demonstrated in exercises. The course also consists of a number of home assignments where students work with and solve problems related to the course material. The assignments cover both theoretical questions and computer exercises in MATLAB and Comsol. The projects are solved in groups of two students. Each project is to be presented and documented in a written report that is handed in online. If a deadline to hand in an assignment is missed you can still hand it in, but there is no guarantee that we will have time to correct it so that the result can be reported by the end of the course. We will correct them when we have time. 

All course material, such as lecture notes, project assignments and complementary course material will be uploaded in Canvas. The material will be added throughout the course and we recommend that you regularly visit the course page in Canvas. Home assignments are handed in by uploading them in Canvas. 

Should contain a description of how the digital tools (Canvas and others) should be used and how they are organized, as well as how communication between teachers and students takes place (Canvas, e-mail, other).

 

Learning objectives and syllabus

Learning objectives:

  • describe general methods and principles for modelling and simulating a system.
  • apply these principles when designing mathematical models for realistic systems.
  • implement and use computer-based modelling and simulation for studying relevant problems within the field of biomedical engineering.
  • apply these methods and principles for modelling of systems and processes relevant for diagnostics, treatment and as well as different physiological processes.
  • critically evaluate the applicability and usability for different models and simulation techniques.

Link to the syllabus on Studieportalen.

Study plan

Examination form

The grading will be based on a written exam and assessment of the assignments, grading scale U, 3, 4, 5.


The project works/computer laboratory works are graded and at least grade 3 or higher are required on all four assignments to pass the course. The projects are reported separately in LADOk with grades completed or incomplete (pass or fail). Project handed in after the deadline can only receive grade 3 at most.

The exam tests the theoretical knowledge and problem solving of the course material. Part of the exam will cover material from the home assignments, it is therefore an advantage to have completed those before the exam. The examination is a closed book written exam. You may bring one A4 page where you can write down, on both sides, your own formulas. It is not allowed to write down solutions to problems. Time and place of ordinary and reexaminations can be found here: https://student.portal.chalmers.se/sv/chalmersstudier/tentamen/Sidor/Tentamensdatum.aspx
(use course code EEN035 to search)

The final grade in the course will be based on the combined results from the projects and the exam with weighting according to the credits of the course, 3 hp for the projects and 4,5 hp for the exam. 

Adaptations of the course due to Covid-19 restrictions

Most of the teaching will be held on campus. But we provide material that makes it possible to follow the course online.  If the infection rates of Covid-19 in the society changes we might need to adapt the teaching with shot notice.

Most lectures will be given on Campus. Recordings from last year will be provided for online studies. See the detailed planning on this page.

Tutorials and Supervised self-study sessions will be held on Campus and also streamed in Zoom.

For the home assignments, the software MATLAB and COMSOL will be used. COMSOL is available on the on-campus computers, or via remote login to an on-campus computer (and requires very good internet speed to be run remotely). It is also possible to install COMSOL on private computers.

Information regarding scheduling and access to Zoom links will be posted on this web-page.

General information about the education at Chalmers during the autumn can be found here.

Course summary:

Date Details Due