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MET CS 767

Advanced Machine Learning and Neural Networks

Offered Fall 2026

An advanced course on learning from data, moving from supervised and unsupervised fundamentals through neural networks to transformers and attention mechanisms. Students also study adversarial learning, Bayesian methods, and genetic algorithms, and each designs and completes an individual term project applying the material.

Level
Graduate
Department
MET
Credits
4
Prerequisites
MET CS 521 & one of 577/622/673/682

Last verified: August 22, 2026

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