Quantitative Approaches to Behavior

Quantitative Approaches to Behavior
A course with changing content in the areas of intelligence research. Interdisciplinary focus, combining different perspectives on intelligence from computer science (robotics, control theory, machine learning), natural sciences (ethology, neuroscience) and social sciences (psychology, educational science).

Course Duration
15 April – 20 July 2024

MAR Building @ TU Berlin
Marchstr. 23, 10587 Berlin
Room 2.057

Fridays 2–4:30pm


Exam registration*
*mandatory for those who wish to receive credit
Cathrin Bunkelmann

Course organizers
Mark Boon

Supervising PI
Henning Sprekeler

Learning Outcomes
Acquisition of deeper knowledge in selected current topics of intelligence research. Different topics will be covered in each semester, ranging from algorithms for artificial intelligence (e.g., machine learning, control, optimisation, robotics) to the application of methods from computer science to study biological intelligence (e.g, computer vision for behavioural tracking, computational models of behaviour, machine learning or statistical tools for behavioural data analysis). Students will be able to present and discuss current scientific results and perspectives both orally and in a written report.


An overview of our scientific work

See our Research Projects