Advanced Machine Learning and Neural Networks
Advanced Machine Learning and Neural Networks
Prerequisites: MET CS 521; MET CS 622, MET CS 673 or MET CS 682; MET CS 677 strongly recommended; 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: perceptrons, backpropagation, attention, and transformers. Each student creates a term project.
2025FALLMETCS767A1, Sep 2nd to Dec 10th 2025
Days | Start | End | Type | Bldg | Room |
---|---|---|---|---|---|
R | 06:00 PM | 08:45 PM | SOC | B57 |
2025FALLMETCS767A2, Sep 2nd to Dec 10th 2025
Days | Start | End | Type | Bldg | Room |
---|---|---|---|---|---|
W | 02:30 PM | 05:15 PM | CDS | 264 |
2025FALLMETCS767O2, Oct 28th to Dec 15th 2025
Days | Start | End | Type | Bldg | Room |
---|---|---|---|---|---|
ARR | 12:00 AM | 12:00 AM |
Format & Syllabus: