CIS 481: Computational Learning

Course Description

This course covers basic computational aspects of learning to perform a task and improve with experience. Topics include learning frameworks and problem formulations; standard models, methods, computational tools, algorithms and modern techniques; and methodologies to evaluate learning ability and to automatically select optimal models. The main focus is on computer science (e.g., basic runtime, space and complexity analysis, programming, and empirical evaluations?. Simple applications to areas such as computer vision, natural language processing (NLP), and robotics will also motivate the course material. (W)