Computational Psychiatry: Methods and Applications

3 credits

Introduces students to how computational models can be used to understand the brain and behavior from the point of view of mental health and mental health disorders. Illustrates how machine learning techniques and process models can be used to predict, diagnose, and explain psychological and neurological phenomena disorders such as addiction, depression, dementia, and aphasia. Prerequisite: a minimum 2.0 grade in PSYCH 209; and a minimum grade of 2.0 in either PSYCH 315 or PSYCH 317.