Quantitative Approaches to Behavior

This course provides participants with a hands-on introduction to the end-to-end analysis of animal behavior, from processing video recordings to characterizing & modeling behavior. Participants will be introduced to the mathematical tools necessary to understand the basics of tracking, state estimation, and characterization of behavior on a week-to-week basis in the form of lectures. Since these topics cover many different disciplines, the focus will be put on gaining a high-level understanding of each of the topics. Furthermore, various renowned scientists will be invited to present state-of-the-art methods, research, and widely used open-source tools in computer vision, computational ethology, and behavioral sciences. These lectures serve to teach and inspire participants about what current research has to offer, as well as to demonstrate fruitful collaborations in highly interdisciplinary science.
You can already enroll in the ISIS course.
Course Duration
15 April – 20 July 2024
MAR Building @ TU Berlin
Marchstr. 23, 10587 Berlin
Room 2.057
Fridays 2–4pm
Exam registration*
*mandatory for those who wish to receive credit
Cathrin Bunkelmann
Programming skills in Python
Basic mathematical knowledge in linear algebra
Course organizers
Mark Boon
Supervising PI
Henning Sprekeler
Learning Outcomes
After completing this course, participants acquired a deeper level of knowledge in selected current topics of intelligence research. 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) will be covered in this course. Participants will be able to present and discuss current scientific results and perspectives both orally and in a written report.