342 Neural Networks

Biological information processing; architectures and algorithms for supervised learning, self-organization, reinforcement learning, and neuro-evolution; hardware implementations and simulators; applications in engineering, artificial intelligence, and cognitive science. Three lecture hours a week for one semester. Prerequisite: The following coursework with a grade of at least C- in each: Computer Science 311, 311H, 313H, or 313K; Computer Science 307, 314, 314H, 315, or 315H; Computer Science 310, 310H, 429, or 429H; and Mathematics 408C, 408K, or 408N.

Undergraduate Program