Schedule, syllabus and examination date

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Changes in the course due to coronavirus

Autumn 2020 we plan for teaching and examinations to be conducted as described in the course description and on semester pages. However, changes may occur due to the corona situation. You will receive notifications about any changes at the semester page and/or in Canvas.

Spring 2020: Teaching and examinations was digitilized. See changes and common guidelines for exams at the MN faculty spring 2020.

Course content

Modern biological methods produce big data, a development that demands specialized computational methods to make such data to be understandable, and which also makes it possible to tackle questions in the biosciences that were previously seen as unanswerable. This course will teach you to use Python and other programming tools to organize, compare and analyse biological data, such as for example sequences of nucleotides and amino acids.

Learning outcome

After completing this course, you

  • are familiar with the underlying statistical principles for analyzing large biological datasets
  • know of the most important strategies and algorithms for processing large biological datasets
  • understand how the comparison of biological datasets can give functional and evolutionary information
  • can use programming to implement simple algorithms relevant for bioinformatics

Admission to the course

Priority will be given to students in the bachelor program in Biosciences.

Special admission requirements

In addition to fulfilling the Higher 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).

Formal prerequisite knowledge

A background in elementary  programming equivalent to the content of BIOS1100 - Introduction to Computational Modelling in the Biosciences

BIOS1110 – Celle- og molekylærbiologi (Cell and molecular biology) STK1000 – Introduction to Applied Statistics

Overlapping courses


The teaching is given as

  • lectures
  • organized group tutorials with TA per week
  • independent tutorials with TA available

There is mandatory attendance for the first weeks of group tutorials for students enrolled in the course. There are mandatory assignments in the group tutorials.

Attendance is mandatory for the first lecture, also for those on the waiting list. If you are unable to attend the first lecture, you will lose your seat on the course if you have not informed the student administration prior to the first lecture.

Approved mandatory course work is valid for 3 years.


Final written exam 3 hours that counts for 100 % of the mark

Mandatory assignments must be passed and mandatory attendance registered prior to students sitting for the exam. Approved mandatory course work is valid for 3 years.

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.

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) Aug. 15, 2020 1:16:37 AM

Facts about this course

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