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 and Applied Mathematics 3815A/B or with the permission of the Department of Mathematics.

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