BIOS-IN9010 – Computational physiology

Changes in the course due to coronavirus

Autumn 2020 the exams of most courses at the MN Faculty will be conducted as digital home exams or oral exams, using the normal grading scale. The semester page for your course will be updated with any changes in the form of examination.

See general guidelines for examination at the MN Faculty autumn 2020.

Course content

This course provides a thorough introduction to mathematical models of electrophysiologic and mechanical processes in the heart. Particular focus is on developing models extending from protein function through to continuum electroconduction and tissue mechanics. The course also introduces relevant numerical methods and software tools for solving ordinary and partial differential equations. The foundation principles of both the models and the numerical approaches are often used in other physiological disciplines, particularly neuroscience, muscle mechanics, and fluid dynamics. For this reason the course is usually relevant to students broadly engaged in multiscale modelling of physiology. The course includes a mandatory assignment in the form of a small research project, which is conducted in collaboration with the University of California, San Diego.

Learning outcome

Through this course you will:

  • gain a fundamental understanding of cardiac physiology
  • understand the derivation and common implementation strategies for describing chemical, physical and biological processes with mathematics
  • be introduced to both the principles and practice of relevant numerical methods and computational tools for modeling cardiac physiology.

Admission to the course

Course participation is limited

20 students can be admitted to BIOS-IN5010 and BIOS-IN9010. The program is designed for early PhD and late MSc students. Acceptance will be prioritized as follows:

1) PhD candidates and master students with BIOS-IN5010 or BIOS-IN9010 on their approved study plan

2) Master students having passed at least 30 ECTS from master level with a grade average of B in these courses.

3) Master students having passed at least 30 ECTS from master level.

In each category, qualified applicants will be prioritized by credits and then by lottery.

Interested students are strongly encouraged to familiarize themselves with the course content and requirements, before preparing their application. This information can be found here:

All applications should be submitted here: As part of your application, you will be asked to upload the following documents:

  • A current résumé or CV
  • A cover letter
  • A letter of support from a mentor or advisor
  • Your university transcripts

Fundamental knowledge of ordinary differential equations and their numerical solution, corresponding to IN1900 – Introduction to Programming with Scientific Applications MAT-INF1100 – Modelling and Computations or equivalent. It is also useful to have a basic knowledge of partial differential equations, corresponding to the introductory parts of MAT3360 – Introduction to Partial Differential Equations or similar.

Formal coding experience is important and used heavily during the course. We offer an introductory Python workshop the Sunday evening before the course starts, and any student without substantial Python experience should expect to take that workshop.

Overlapping courses


The course is organized as a summer school, in collaboration with the Simula School of Research and Innovation (SSRI) and University of California, San Diego. The first two weeks will be held in Oslo in late June, and consists of approximately 50 hours of theoretical lectures, plus time for self-study and preparations. Students will work in small groups to complete a mandatory project assignment in July, and the course concludes with a week of project presentations and reviews in early August. The August component of the summer school is held at the University of California San Diego campus in La Jolla, California. Over this time the students will be required to do an extensive literature review, and to put the results of their investigation into an international research perspective. PhD students will be examined during the final presentations in San Diego and required to submit a final report detailing this work shortly after the summer school has finished.

Cost of taking the course

Travel support is provided by SSRI. For further details and to apply for travel funding see


  •  Written project report.
  •  Oral presentation of project report.

All mandatory assignments must be approved prior to the exam and must be completed and approved in the same semester.

Withdrawal from an examination​

It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.

It will also be counted as one of the three attempts to sit the exam for this course, if you sit the exam for one of the following courses:INF5560 – Computational Physiology (continued), INF9560, BIOS-IN5010 – Computational physiology.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

Resit an examination

Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester. The postponed exam can be taken later when back in Norway. Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.

It will also be counted as one of the three attempts to sit the exam for this course, if you sit the exam for one of the following courses: INF9560 and BIOS-IN5010 – Computational physiology

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Oct. 23, 2020 11:23:25 PM

Facts about this course

Teaching language