Fall 2011 Course Descriptions
COMP 135-01 Introduction to Machine Learning
MW 10:30-11:45, Halligan Hall 106
E+ Block
An overview of methods whereby computers can learn from data or experience and make decisions accordingly. Topics include supervised learning, unsupervised learning, reinforcement learning, and knowledge extraction from large databases with applications to science, engineering, and medicine.
Prerequisite: Comp 15 and Math 22 or consent of instructor. (Comp 160 is highly recommended).