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).



Tuesday, 16:00-18:00 in MA 005


Monday, 14:00-16:00 in MA 004

Monday, 16:00-18:00 in H 0107

Tuesday, 16:00-18:00 in MA 005


Prof. Dr. Klaus-Robert Müller


Stephanie Brandl (


Lectures and tutorials take place every other week respectively. There will be 3 groups for the tutorials, registration will happen via Moses. In the tutorials we will briefly recap the lecture and discuss more theoretical exercises.


After each lecture there will be assignments where you mainly implement the algorithms discussed in the lecture. Those assignments can be handed in in groups which will be organised via ISIS.


We will cover (among other things)

More information can be found on the ISIS Website.




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/SS19_KA (last edited 2019-04-10 09:54:28 by StephanieBrandl)