Cognitive systems- Predictive behavior analysis in human-technology interaction (summer semester 2024)

Lecturer: Prof. Dr. Dr. Marco Ragni

Contents: This seminar offers an exciting introduction to the basics and applications of cognitive systems and their modeling. In this seminar we will deal with the standard work by Farrell, S., & Lewandowsky, S. (2018). Computational modeling of cognition and behavior. Cambridge University Press. DOI: 10.1017/CBO9781316272503.,, which provides a comprehensive basis for the topic. The book is available as an ebook in the university network via the university library. The seminar is aimed at all students who are interested in researching and modeling cognitive processes and want to gain a deeper understanding of psychological theories, in particular their description by algorithms, as well as the subsequent evaluation of such models. Participants have the opportunity to deepen their understanding through practical applications and projects.

Qualification goals: The aim of this module is to provide students with an in-depth knowledge of integrative theories of cognitive systems, enabling them to analyse cognitive performance and identify intervention options. In addition, students will gain in-depth knowledge of psychological methods; they will develop sound methodological skills for designing empirical studies and applying appropriate procedures at all stages of empirical research.

Requirements: For the Research Methodology module, it is recommended that you attend the lecture and tutorial before the seminar.

Target groups: Master Human Factors, Master Human Movement Science, Bachelor/Master Psychology

Link: Opal-Course

Seminar

  Time: The seminar will be held as a block seminar.

A preliminary discussion will take place digitally on April 09 at 3.15 pm. - Link to the web room.
To attend this seminar, please register for the Opal course. A place on the waiting list does not guarantee a place on the seminar.

 

  Place: Online