SYS 6016 - Machine Learning

Effective Date 08/01/2023
A graduate-level course on machine learning techniques and applications with emphasis on their application to systems engineering. Topics include: Bayesian learning, evolutionary algorithms, instance-based learning, reinforcement learning, and neural networks. Students are required to have sufficient computational background to complete several substantive programming assignments. Prerequisite: A course covering statistical techniques such as regression. Co-Listed with CS 6316.

Credits: 3
Grading Basis Graded