FB 6 Mathematik/Informatik/Physik

Institut für Mathematik

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Neuroinformatics (Lecture + Tutorial)




Prerequisites: Angewandte Mathematik, oder Lineare Algebra, Analysis

In this lecture, we will discuss cutting edge approaches from the field of Neuroinformatics. The aim of the lecture is to get the students familiar with the concept of modelling and abstracting data, and the up to date knowledge about computational processes in the brain. After a short introduction that covers probability theory, and linear models for regression and classification, we will start a journey through the fields of graphical models and liquid computing. In the last part of the lecture we will conclude with an outlook to self-organization with the purpose to optimize information processing in complex systems like the brain. To link the knowledge acquired in this course with scientific question every second lecture a 30 min 3W session is offered. The three big W are: why should I learn this / what for can I use it / how can it be important my bachelor and master thesis . The lecture will be supplemented by a block seminar on decoding neuronal activity at the beginning of the semester break. This course is intended for Bachelor students in their third term and for master students as a compulsory module.

Weitere Angaben

Ort: 93/E43: Mi. 16:00 - 18:00 (14x), 93/E31: Do. 14:00 - 16:00 (13x), 66/E34: Fr. 10:00 - 12:00 (14x) Fr. 12:00 - 14:00 (14x) Donnerstag, 01.02.2024 12:00 - 16:00, Freitag, 05.04.2024 14:00 - 18:00
Zeiten: Mi. 16:00 - 18:00 (wöchentlich) - Extra Tutorial and Q&A, Ort: 93/E43, Do. 14:00 - 16:00 (wöchentlich), Ort: 93/E31, Fr. 10:00 - 12:00 (wöchentlich), Ort: 66/E34, Fr. 12:00 - 14:00 (wöchentlich), Ort: 66/E34, Termine am Donnerstag, 01.02.2024 12:00 - 16:00, Freitag, 05.04.2024 14:00 - 18:00, Ort: 66/E34
Erster Termin: Mittwoch, 18.10.2023 16:00 - 18:00, Ort: 93/E43
Veranstaltungsart: Vorlesung und Seminar (Offizielle Lehrveranstaltungen)


  • Cognitive Science > Bachelor-Programm
  • Data Science