inf966 - Foundations of STS Eng.: Statistics and Programming (Course overview)

inf966 - Foundations of STS Eng.: Statistics and Programming (Course overview)

Department of Computing Science 6 KP
Module components Semester courses Wintersemester 2018/2019 Examination
Lecture
Exercises
Notes on the module
Prerequisites

No participant requirement
Prüfungszeiten

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
  • lern to analyze and evalutate the effects an relevance of datasets for specific research questions