Mathematics 354 - Mathematics of Deep Learning

Deep Learning

Fall
2026
01
4.00
Luca Capogna

TU TH 9:25 AM - 10:40 AM

Smith College
MTH-354-01-202701
Burton 301
lcapogna@smith.edu
The developments of Artificial Intelligence (AI) are tied to an unprecedented reshaping of the human experience throughout society, impacting the arts, literature, science, politics, commerce, law, education, etc. Despite these consequential effects, understanding of AI is mostly empirical. The state of knowledge of deep learning has been recently likened to a pseudo-science like alchemy. Progress in this direction rests on truly interdisciplinary approaches that are equally informed from mathematics, computer science, statistics and data science. The course goals are: (1) Understand the mathematical foundations of deep learning, (2) Develop proficiency in using mathematical tools to analyze deep learning algorithms, (3) Apply mathematical concepts to implement real-world applications of deep learning. Not recommended for first-years. Prerequisites: MTH 211 and MTH 212. Enrollment limited to 12.

Permission is required for interchange registration during the add/drop period only.
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