IS 5610 Applications of Artificial Intelligence 3.0 Credits
This course covers various methods for developing artificial intelligence (AI) applications to solve real world problems. The underlying intuition of these AI methods (e.g., neural networks, constraint satisfaction, reinforcement learning) are presented in the context of real-world applications for students to learn to make decisions about when and why particular AI methods can be utilized to provide value to organizations and users. This course is delivered via lecture and readings, and assignments include analysis of existing applications and development of working demos of the main categories of AI methods.
Repeat Status: Not repeatable for credit