Offered each summer term.

This module is compulsory for students enrolled in the Master program Computational Neuroscience. Module components are compulsory elective or elective for students of other Master and Diploma programs of Berlin’s universities, who wish to specialize in the Cognitive Neurosciences. The number of participants is limited 30.
The module can be taken in different variants, with 6, 9 and 12 ECTS, respectively, by participating in different components.
Important: The 12 ECTS requires a participation in the Cognitive Neuroscience component, which takes place yearly in the winter term.
For more info, check out the website of the BCCN Berlin [1].
For the enrolment key, please contact the BCCN teaching coordinator: graduateprograms@bccn-berlin.de.

The module „Theoretische Grundlagen der Informatik” is offered in both summer and winter term and has no limit in the number of participants. All students can register for the exams provided they have met the homework criterion in any semester.

This module is targeted at bachelor students and researchers in "Wirtschaftsinformatik" and "Technische Informatik". Further information can be found on ISIS [2]

Offered in both summer and winter term.

This module is targeted at master students and researchers in the field of computational neuroscience. Mathematical skills and a basic familiarity with neuroscientific concepts are an advantage. 

Offered each summer term.

This module is compulsory for students enrolled in the Master program Computational Neuroscience. There are no special prerequisites. The maximum number of participants is 20.

Offered each winter term.

Students together choose a project at the beginning of semester, and subsequently develop it in small groups. Each student is individually assessed based upon three presentations, and the final software implementation. The maximum number of participants is 16. Enrollment is handled via ISIS [3]. For more information about that and the course in general, please visit the course page on ISIS a few weeks before the start of the winter term.