Stud.IP Uni Oldenburg
University of Oldenburg
05.06.2020 15:14:27
inf966 - Foundations of STS Eng.: Statistics and Programming (Course overview)
Department of Computing Science 6 KP
Module responsibility
  • Antje Timmer
  • Andreas Hein
Authorized examiners
  • Die im Modul Lehrenden
module components Semester courses Sommersemester 2020 Examination
Lecture
Exercises
Notes for the module
Time of examination
At the end of the lecture period
Module examination
Written or oral exam
Skills to be acquired in this module
Professional competences:
The students learn:
To plan, program and interpret statistical data evaluation via programming.

Methodological competences:
The students:
  • understand the main statistical methods and their practical use through application
  • can evaluate statistical methods regarding the qualities and their limits
  • learn the use of statistical software in application scenarios
  • can implement programms via a programming language
  • know how to program statistical data analyses

Social competences:
The students gain experience in interdisciplinary work.

Self-competences:
The students gain experiences in
  • Pursuing goals: Thinking, problem solving and acting
  • Ability to analyze and evaluate the effects and relevance of datasets for specific research questions