neu900 - Recent Skills for Neuroscience (Complete module description)

neu900 - Recent Skills for Neuroscience (Complete module description)

Original version English PDF download
Module label Recent Skills for Neuroscience
Module code neu900
Credit points 3.0 KP
Workload 90 h
Institute directory Department of Neurosciences
Applicability of the module
  • Master's Programme Neuroscience (Master) > Skills Modules
Responsible persons
  • Kretzberg, Jutta (module responsibility)
  • Albert, Jörg (authorised to take exams)
  • Clemens, Jan (authorised to take exams)
  • Kretzberg, Jutta (authorised to take exams)
Prerequisites
Skills to be acquired in this module
Upon completion of this module, students know about a specific field of skills and its application in neuroscience. (Topics are subject to change)
 

Skills to be acquired/ competencies:

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

Module contents

The contents of this module can change every semester to serve as a flexible addition to the standard choice of modules that are offered yearly.

Please check Stud.IP for more specific information.

Recommended reading
Journal papers will be selected based on the specific topic of the module in each semester.
Links
Language of instruction English
Duration (semesters) 1 Semester
Module frequency This module is not offered on a regular basis, but serves as flexible addition to the standard choice of modules. The course period changes depending on lab availability.
Module capacity 12
Type of module Wahlpflicht / Elective
Module level AS (Akzentsetzung / Accentuation)
Previous knowledge Students are expected to know the content of ‘neu715 Neuroscientific data analysis in Python’ or ‘neu710 Neuroscientific data analysis in Matlab’ and 'neu350 Biological Foundations of Neuroscience’.
Examination Prüfungszeiten Type of examination
Final exam of module
Präsentation
Active participation: presentation, ungraded
Type of course Seminar
SWS 2
Frequency SuSe or WiSe
Workload attendance time 28 h