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Pre-course preparation

The Computational Psychiatry Course (CPC) Zurich is split into several parts. Starting with an introduction to Psychiatry (Day 1), the CPC then offers three days that will cover computational methods in detail and a final day on concrete applications. Some background knowledge in statistics and computational methods is needed to master the more technical parts (Days 2-4). If you lack this background, it is recommended that you prepare for this course. In this repository, we list some recommended reading and useful resources for you to best prepare. Enjoy!

Note: All recommended MOOCs are freely available. As for the recommended reading, try using tools and platforms such as Kopernio or Research Gate to find freely accessible versions of papers, in case you hit a paywall.

๐Ÿง  Basic and applied neuroscience

๐Ÿ’ฅ Neuroimaging

๐Ÿ“ Linear algebra

๐Ÿงฎ Calculus

๐ŸŽข Differential equations

๐ŸŽฒ Statistics & Probability

๐Ÿ’ป Programming

While you will only need to program during the CPC Zurich if you attend the tutorials, this is a crucial skill to develop if you wish to do research or work in the field of Computational Psychiatry! Here are a few resources to get started.

๐Ÿค– Machine learning

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