Module PY4310-KP04
Models of learning and decision-making (LernEntsch)
Duration
1 Semester
Turnus of offer
each summer semester
Credit points
4
Course of studies, specific fields and terms:
- Master Psychology - Clinical Psychology and Psychotherapy 2027, optional subject, psychology
- Master Psychology - Clinical Psychology and Psychotherapy 2022, optional subject, psychology
Classes and lectures:
- Models of learning and decision making (seminar, 2 SWS)
Workload:
- 30 hours in-classroom work
- 90 hours private studies
Contents of teaching:
- Introduction into the basic principles and background of computational modeling.
- Models of learning (i.e. Rescorla-Wagner-Model and adaptations)
- Models for decision making (i.e. Drift-diffusion-Models)
- General principles in model comparison and parameter estimation
- Application in the research of mental disorders (Anxiety disorders, Psychosis and Depression)
- Practical exercises on data simulation (among other things) to illustrate the respective models discussed in the content-related topic blocks.
Qualification-goals/Competencies:
- Students gain in-depth insights into the principles and methods of computational modeling.
- Students can understand and evaluate studies that make use of the learned computational models.
- Students understand the relevance of computational modeling for the research on mental disorders.
Grading through:
- written homework
Responsible for this module:
Literature:
- Farrell, & Lewandowski (2018) : Computational Modeling of Cognition and Behavior Cambridge: Cambridge University Press
- Wilson, R. C., & Collins, A. G. (2019) : Ten simple rules for the computational modeling of behavioral data. eLife, 8. https://doi.org/10.7554/eLife.49547
- Friston, K. J., Stephan, K. E., Montague, R., & Dolan, R. J. (2014) : Computational psychiatry: The brain as a phantastic organ. The Lancet Psychiatry, 1(2), 148158.
Language:
- German and English skills required
Notes:
Admission requirements for taking the module:- None
Admission requirements for participation in module examination(s):
- Co-design of a session; academic performance is to be provided as active contributions to the discussion and participation in the practical exercise sessions.
Module Exam(s):
- PY4310-L1: Models of Learning and Decision Making, Term Paper, 100% of the module grade
Last Updated:
28.11.2025