Scientific Programming

Course content

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

Lectures and exercise classes

7,5 ECTS
Type of assessment
Active student participation consisting of 3-5 assignments.
Marking scale
passed/not passed
Censorship form
No external censorship
  • Category
  • Hours
  • Class Instruction
  • 56
  • Course Preparation
  • 105
  • Exam Preparation
  • 45
  • English
  • 206