neu715 - Neuroscientific Data Analysis in Python

neu715 - Neuroscientific Data Analysis in Python

Department of Neurosciences 6 KP
module responsibility
  • Jan Clemens
Prüfungsberechtigt
  • Jan Clemens
Module counselling
  • Jan Clemens
Module components Semester courses Summer semester 2025 Examination
Lecture
Exercises
Hinweise zum Modul
Prerequisites
Enrolment in Master program Neuroscience
Kapazität/Teilnehmerzahl 25
Prüfungszeiten
During the course
Module examination
Portfolio, consisting of 7 weekly programming and interpretation tasks
Skills to be acquired in this module

Goals of this module:

upon completion of this module, students…

  • understand basic programming concepts.
  • have good knowledge about the most important aspects of the programming language Python and are able to write their own programs.
  • have basic knowledge in statistical testing.
  • have developed and applied programs for the analysis of neuroscientific data.
  • have practiced the interpretation of data analysis results in a neuroscience context.
  • have learned about and practiced data sharing and version control.


Skills to be acquired/ competencies:

+             Neuroscience knowledge
+             Social skills
++          Maths/Stats/Programming
+             Data presentation/discussion
+             Scientific English
+             Ethics

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