Integrated Lecture "Kognitive Algorithmen"

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 will alternated a lecture and a practice session. In the practice session students will implement and apply machine learning algorithms on real data in Python.



Thursday, 10:00 - 12:00, 17.04.2014 - 17.07.2014


MAR 0.007


Prof. Dr. Klaus-Robert Müller

Contact Person:

Irene Winkler


We will cover

More information can be found on the ISIS Website. The password will be announced in the first lecture.


The following are prerequisites are helpful for taking the course:

As thematical preparation, it is recommended to visit the Python course or the mathematical foundations course which are also accreditable as optional compulsory course part and take place in the week prior to the start of the lecture period.


The integrated lecture is the compulsory part of the B.Sc. module "Kognitive Algorithmen" in Computer Science. This "Kognitive Algorihtmen" 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. You need to solve 50% of the exercise sheets to take part in the written exam. The grades of the elective will not count towards the grade of the entire module.

IDA Wiki: Main/SS14_KA (last edited 2014-04-11 14:43:13 by IreneWinkler)