An introduction to neural networks, covering the fundamentals of neural computation and how networks of neurons support information processing in the brain. Coursework will introduce techniques in computational modeling, programming and data science, focusing on recent developments in deep learning as applied to the context of explaining the brain.

Prerequisite(s): Applied Mathematics 3813A/B, Applied Mathematics 3815A/B and the former Applied Mathematics 3911F/G, or with the permission of the Department.

Extra Information: 2 lecture hours, 2 computer lab hours.