HIOK0002EU Scientific Programming

Volume 2023/2024

IT & Cognition


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.


Learning Outcome

Academic objectives

See the curriculum:


2015 curriculum
2019 curriculum

See all the curriculums.

Lectures and exercise classes
  • Category
  • Hours
  • Class Instruction
  • 42
  • Preparation
  • 105
  • Exam Preparation
  • 59
  • Total
  • 206
Continuous feedback during the course of the semester
Feedback by final exam (In addition to the grade)
7,5 ECTS
Type of assessment
Course participation
Type of assessment details
Active student participation. The active participation consists of 3-5 written assignments, 6-10 standard pages in total.
Marking scale
passed/not passed
Censorship form
No external censorship

Take-home assignment, set subject