HIOK0002EU Scientific Programming

Volume 2020/2021
Education

IT & Cognition

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:

MA-level 

2015 curriculum
2019 curriculum


See all the curriculums.

Lectures and exercise classes
  • Category
  • Hours
  • Class Instruction
  • 28
  • Preparation
  • 105
  • Exercises
  • 28
  • Exam Preparation
  • 45
  • Total
  • 206
Continuous feedback during the course of the semester
Credit
7,5 ECTS
Type of assessment
Course participation
Active student participation
Marking scale
passed/not passed
Censorship form
No external censorship
Re-exam

Take-home assignment