Advanced Machine Learning and Neural Networks


Advanced Machine Learning and Neural Networks

MET CS 767 (4 credits)

Formerly titled CS767 Machine Learning
Theories and methods for learning from data. The course covers a variety of approaches, including Supervised and Unsupervised Learning, Neural Nets and Deep Learning, Adversarial Learning, Bayesian Learning, and Genetic Algorithms. Each student focuses on two of these approaches and creates a term project. Laboratory course. Prerequisite: MET CS 521 and either MET CS 622, MET CS 673 or MET CS 682. MET CS 677 is strongly recommended. Or, instructor's consent.

2022FALLMETCS767 A1, Sep 8th to Dec 8th 2022

Days Start End Type Bldg Room
R 06:00 PM 08:45 PM CAS 229

2022FALLMETCS767 A2, Sep 6th to Dec 6th 2022

Days Start End Type Bldg Room
T 12:30 PM 03:15 PM CGS 515

2022FALLMETCS767 O2, Nov 1st to Dec 19th 2022

Days Start End Type Bldg Room
ARR TBD TBD ROOM

2023SPRGMETCS767 A1, Jan 24th to May 2nd 2023

Days Start End Type Bldg Room
T 06:00 PM 08:45 PM PHO 205

2023SPRGMETCS767 A2, Jan 24th to May 2nd 2023

Days Start End Type Bldg Room
T 09:00 AM 11:45 AM MET 122

Format & Syllabus: