This course is organized by the Translational Neuromodeling Unit (TNU), University of Zurich & ETH Zurich and is designed to provide students from different fields with the necessary toolkit to master challenges in computational psychiatry research.

The CPC Zurich is meant to be practically useful for students at all levels (MDs, Master, PhD, Postdoc, PI) and from diverse backgrounds (neuroscience, psychology, medicine, engineering, physics, etc.), who would like to apply modeling techniques to study cognition or brain physiology in mental health. The course will teach not only the theory of computational modeling, but also demonstrate open source software in application to example data sets.

The goal of the Computational Psychiatry Course (CPC) is to create a scientific and educational space for students, scientists, and other professionals to share and advance the state of knowledge in CP. Everyone is welcome at the CPC. To this end, we encourage all participants to treat each other respectfully. This Code of Conduct defines a set of guidelines to facilitate this.

Pre-requisites: The course is split into several parts. The first day features an introduction to Psychiatry and psychosomatic medicine. Days 2 - 4 will cover computational methods in detail. Day 5 presents concrete applications. The final day 6 (to be booked separately) consists of practical tutorials with open source software. Some background knowledge in statistics and computational methods is needed to master the more technical parts (Day 2-4). If you lack this background it is recommended that you prepare for this course. Here is a list of helpful (but not mandatory) introductory resources to get you started.