neu242 - Computational Neuroscience - Encoding and Decoding (Course overview)

neu242 - Computational Neuroscience - Encoding and Decoding (Course overview)

Department of Neurosciences 6 KP
Module components Semester courses Winter semester 2024/2025 Examination
Lecture
Exercises
Notes on the module
Prerequisites

Enrolment in Master program Neuroscience; Students from other study programs are welcome if space is available.This module requires good programming skills! (As taught in neu710 or neu715.)
Kapazität/Teilnehmerzahl 18
Prüfungszeiten
During the course (assignment tasks)
Module examination
Portfolio, consisting of short tests, programming tasks, and interpretation of modeling / data analysis results.
Skills to be acquired in this module
Upon completion of this module, students

- are able to implement and apply algorithms in Matlab or Python
- have learned to handle scientific data independently
- have acquired theoretical and practical knowledge of advanced data analysis techniques- can interpret simulation results in a neuroscientific context

Skills to be acquired/ competencies:

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