BIOS1100 – Introduction to computational models for Biosciences

Schedule, syllabus and examination date

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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

We can often understand more of a complex system by examining simplified models of it. This course gives an introduction to creating and experimenting with simple models of biological systems. The computer and the programming language Python are used to create a virtual biological laboratory to find solutions to problems derived from genetics, evolution, ecology and bioinformatics.

Learning outcome

After completing this course, you

  • have familiarity with Python programming and can use data structures, functions and modules, as well as loops and conditionals
  • can organize biological data, read and write such data to / from file and make graphical representations
  • can model biological systems using vector and matrix arithmetic and basic probability calculations
  • can document, disseminate and present simple models of biological systems

Admission to the course

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

Special admission requirements

In addition to fulfilling theHigher Education Entrance Qualification, applicants have to meet the following special admission requirements:

  • Mathematics R1 (or Mathematics S1 and S2) + R2

And in addition one of these:

  • Physics (1+2)
  • Chemistry (1+2)
  • Biology (1+2)
  • Information technology (1+2)
  • Geosciences (1+2)
  • Technology and theories of research (1+2)

The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies(in Norwegian).

Overlapping courses


The weekly schedule consists of:

  • Lectures

  • Organized group tutorials with teaching assistants (mandatory)

  • Participatory live coding (mandatory)

Have a look at the semester page for further information.

Mandatory assignments must be approved and mandatory attendance registered before the student can attend the exam. 

Approved mandatory coursework is valid for 5 years.

Attendance at the first lecture is mandatory, also for those on the waiting list. You will lose your seat on the course if notice is not given to the student administration prior to the first lecture.

A student who has completed compulsory instruction and coursework and has had these approved, is not entitled to repeat that instruction and coursework. A student who has been admitted to a course, but who has not completed compulsory instruction and coursework or had these approved, is entitled to repeat that instruction and coursework, depending on available capacity.


This course has a final written digital exam in Inspera, 3 hours, that counts for 100% of the mark. 

Only students who have had their mandatory assignments approved and can document mandatory attendance during the mandatory teaching may attend the exam. 


Written examination

The written examination is conducted in the digital examination system Inspera. You will need to familiarize yourself with the digital examination arrangements in Inspera.

Read more about written examinations using Inspera.

Examination support material

No examination support material is allowed.

Language of examination

You may write your examination paper in Norwegian, Swedish, Danish or English.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Resit an examination

This course offers both postponed and resit of examination. Read more:

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Nov. 1, 2020 12:14:36 AM

Facts about this course

Teaching language