CSC 422 - Machine and Deep Learning

Units: 3
When Offered: Fall
This course covers introductory machine learning topics including supervised and unsupervised learning, linear and logistic regression, support vector machines, neural networks (MLPs, CNNs, RNNs, GANs) and more. Coursework includes instruction and programming assignments in algorithmic implementations and high-level library usage. Students also apply machine learning techniques to a unique research project.
Grade Type: Letter Grade
Prerequisite(s): EGR 121 or CIS 268, and one of the following: EGR 305, MAT 353, STA 144, 310, or one additional, approved statistic course