This course explores the field of computational neuroscience, focusing on the role of modeling in understanding the biophysics of neurons and the ability of neural circuits to perform computations and drive behavior. Students will gain an understanding of the role of theoretical neuroscience in driving forward our understanding of the nervous system, develop a deeper understanding of the computations occurring in our brain, and enhance their quantitative and computational skills for analyzing and modeling scientific questions. The course will center around student computational modeling projects in the programming language Python: a basic understanding of Python is assumed.

This course explores the field of computational neuroscience, focusing on the role of modeling in understanding the biophysics of neurons and the ability of neural circuits to perform computations and drive behavior. Students will gain an understanding of the role of theoretical neuroscience in driving forward our understanding of the nervous system, develop a deeper understanding of the computations occurring in our brain, and enhance their quantitative and computational skills for analyzing and modeling scientific questions. The course will center around student computational modeling projects in the programming language Python. The first unit in the class will focus on developing the necessary programming skills for the class: no background in programming or Python is assumed.

This course assesses the current status of theory, research and action by psychologists as they grapple with the difficult, often values-related social and psychological problems in communities. Major topics include prevention, community-focused research methods, development of alternative human-service models and resources in the community, and the establishment of effective social and mental health policies. Note: counts as a Person and Society core course in Psychology.