BUS 2100 ARTIFICIAL INTELLIGENCE AND BUSINESS ANALYTICS
This course is an introduction to Artificial Intelligence, which enables machines to reason in uncertain environments. It covers search, representation, and uncertainty, with topics like classical search algorithms, constraint-satisfaction, probabilistic reasoning, and Bayesian networks. It also covers practical AI algorithms, natural language processing, vision, machine learning, and robotics.
***This is a consortial online course***
Prerequisite
CIT 1052 or
CIT 1100. This is a consortial course, chairperson approval is required.