MSIM 607: Machine Learning I

Course provides a practical treatment of design, analysis, implementation and applications of algorithms. Topics include multiple learning models: linear models, neural networks, support vector machines, instance-based learning, Bayesian learning, genetic algorithms, ensemble learning, reinforcement learning, unsupervised learning, etc. (Cross listed with ECE 607) 

Total Credit Hours: 3
Lecture Hours: 3
Spring 2018
Cross listed with ECE 607
Jiang Li
Instructor Email:

Weekly Live Sessions

Mon Tue Wed Thu Fri Sat
7:10 - 9:50 PM

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Questions? Contact the ODU CGEP Director:

Anothony W. Dean   •   Ph: 757-683-7121   •