Lecture: 6.03.250 Computational Neuroscience - Statistical Learning - Details

Lecture: 6.03.250 Computational Neuroscience - Statistical Learning - Details

General information

Course name Lecture: 6.03.250 Computational Neuroscience - Statistical Learning
Subtitle
Course number 6.03.250
Semester SoSe2025
Current number of participants 13
expected number of participants 11
Home institute Department of Neurosciences
Associated institutions Institute of Physics
Courses type Lecture in category Teaching
First date Monday, 26.05.25, 09:00 - 16:00 o'clock W02 2-224
Type/Form V, S, Ü
Pre-requisites Programming experience, preferably in Matlab.
Students without Matlab experience should take part in the first week of module 'Computational Neuroscience - Introduction

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Programmiererfahrung, möglichst mit Matlab. Studierende ohne Vorkenntnisse sollten an der Kurzeinführung (1. Woche) im Modul Computational Neuroscience - Introduction teilnehmen.
Performance record Portfolio: daily anwers to three questions on max. 1 page
Lehrsprache englisch
Miscellanea Usefull combination with 'Computational Neuroscience - Introduction
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Sinnvolle Kombination mit Modul 'Computational Neuroscience - Introduction'
ECTS points 6

Rooms and times

W02 2-224

  • Monday, 26.05.25, 09:00 - 16:00 o'clock
  • Tuesday, 27.05.25, 09:00 - 16:00 o'clock
  • Wednesday, 28.05.25, 09:00 - 16:00 o'clock
  • Thursday, 29.05.25, 09:00 - 16:00 o'clock
  • Friday, 30.05.25, 09:00 - 16:00 o'clock
  • Monday, 02.06.25, 09:00 - 16:00 o'clock
  • Tuesday, 03.06.25, 09:00 - 16:00 o'clock
  • Wednesday, 04.06.25, 09:00 - 16:00 o'clock
  • Thursday, 05.06.25, 09:00 - 16:00 o'clock
  • Friday, 06.06.25, 09:00 - 16:00 o'clock
  • Monday, 09.06.25, 09:00 - 16:00 o'clock
  • Tuesday, 10.06.25, 09:00 - 16:00 o'clock
  • Wednesday, 11.06.25, 09:00 - 16:00 o'clock
  • Thursday, 12.06.25, 09:00 - 16:00 o'clock
  • Friday, 13.06.25, 09:00 - 16:00 o'clock

Module assignments

Admission settings

The course is part of admission "Anmeldung gesperrt (global)".
Erzeugt durch den Stud.IP-Support
The following rules apply for the admission:
  • Admission locked.

Registration mode

After enrolment, participants will manually be selected.

Potential participants are given additional information before enroling to the course.