SYS 6016: Machine Learning

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. 

Total Credit Hours: 3
Spring 2018
Instructor Permission, A course covering statistical techniques such as regression.
Quanquan Gu
Instructor Email:

Weekly Live Sessions

Mon Tue Wed Thu Fri Sat
5:00 - 6:15 PM 5:00 - 6:15 PM

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Questions? Contact the UVA CGEP Director:

Dr. William Guilford   •   Ph: 434-243-2740