Advanced Machine Learning and Neural Networks

Advanced Machine Learning and Neural Networks

MET CS 767 (4 credits)

Prerequisites: MET CS 521 and at least one of MET CS 577, MET CS 622, MET CS 673 or MET CS 682; or consent of instructor. Theories and methods for learning from data. The course covers a variety of approaches, including Supervised and Unsupervised Learning, Regression, k-means, KNN's, Neural Nets and Deep Learning, Transformers, Recurrent Neural Nets, Adversarial Learning, Bayesian Learning, and Genetic Algorithms. The underpinnings are covered: perceptron's, backpropagation, attention, and transformers. Each student creates a term project.

2026SPRGMETCS767A1, Jan 20th to Apr 30th 2026

2026SPRGMETCS767O2, Mar 10th to Apr 27th 2026