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.

2024SPRGMETCS767 A1, Jan 22nd to Apr 29th 2024

Days Start End Type Bldg Room
M 06:00 PM 08:45 PM CDS B62

2024SPRGMETCS767 A2, Jan 23rd to Apr 30th 2024

Days Start End Type Bldg Room
T 09:00 AM 11:45 AM MET 101

2023FALLMETCS767 A1, Sep 7th to Dec 7th 2023

Days Start End Type Bldg Room
R 06:00 PM 08:45 PM CAS 324

2023FALLMETCS767 A2, Sep 5th to Dec 12th 2023

Days Start End Type Bldg Room
T 09:00 AM 11:45 AM MET 101

2023FALLMETCS767 O2, Oct 31st to Dec 18th 2023

Days Start End Type Bldg Room
ARR TBD TBD ROOM

2023SUM1METCS767SC1, May 24th to Aug 9th 2023

Days Start End Type Bldg Room
W 06:00 PM 09:30 PM CAS 324

2023SUM1METCS767SO1, May 9th to Jun 26th 2023

Days Start End Type Bldg Room
ARR TBD TBD ROOM

Format & Syllabus: