Integrated Lecture "Cognitive Algorithms"

Computer programs can learn useful cognitive skills. This integrated lecture tries to communicate an intuitive understanding of elementary concepts in machine learning and their application on real data with a special focus on methods that are simple to implement. We recommend the "Machine Learning 1" lecture or the "Machine learning lab course" for a more advanced treatment (this course is not a prerequisite).



Lecture Videos on Monday, Q&A Wednesday (more Info on ISIS)





Prof. Dr. Klaus-Robert Müller


Lorenz Vaitl



Lectures and tutorials take place every other week respectively. Normally there will be 3 groups for the tutorials, registration will happen via Moses. In the tutorials we will briefly recap the lecture and discuss the exercise sheet. Due to the Corona crisis everything will be held online. Teaching will happen via a mix of videos, optional exercises (for a bonus in the grade) and Q&A Zoom sessions. We will still more or less follow the Lecture/Tutorial structure


The following prerequisites are helpful for taking the course:


The integrated lecture is the compulsory part of the B.Sc. module "Kognitive Algorithmen" in Computer Science. This "Kognitive Algorithmen" module is a 6 ECTS/SP module, and consists of

The grade will be determined in a written exam at the end of the semester. The grades of the elective will not count towards the grade of the entire module.

IDA Wiki: Main/WS20_KA (last edited 2020-10-14 14:38:04 by LorenzVaitl)