Scientific programming (FULL)

Course content

There is no vacancies on the course. It is therefore  not offered for post-registration.

The course introduces scientific programming with the Python programming language and addresses problem solving, organization and visualization of data, file organization and scripting, numerical computing, supervised learning, graphs, information retrieval, and neural networks.

See the curriculum:


IT & Cognition

Learning outcome

The student is able to:

  • program with linear algebra
  • implement routine procedures relevant to data managing
  • create plots or related visualisations of data
  • implement simple learning algorithms or related algorithms of importance to cognitive technologies


Lectures and exercise classes.

7,5 ECTS
Type of assessment
Active student participation consisting of 3-5 assignments
Marking scale
passed/not passed

Single subject courses (day)

  • Category
  • Hours
  • Class Instruction
  • 42
  • Course Preparation
  • 105
  • Exam Preparation
  • 59
  • English
  • 206