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Jan 30, 2026
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MATH 625 - Mathematical Principles of Artificial Intelligence Credits: 3
Examines the mathematical principles of artificial intelligence. Provides a survey of core topics, including optimization and automatic differentiation. Explores how neural network architectures can be generalized to learn from structured data, such as graphs and manifolds, by leveraging principles of symmetry and geometric invariance.
Repeat for Credit N
Requisites Prerequisite: MATH 221 or MATH 251; and MATH 551 or MATH 350 or MATH 515 or MATH 751; and, CIS 209 or CIS 200 or CC210 or STAT 728
Typically Offered Fall or Spring
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