CSCI 280 - Artificial Intelligence

3 Credits
This course will present an introduction to the field of Artificial Intelligence. Topics will include problem solving, search techniques (including game playing), inductive learning, decision trees, reasoning, and natural language understanding.

Prerequisite(s): MATH 250; CSCI 231 or CISP 253 or DATA 288
Course Learning Outcomes:
1. Implement a search algorithm.
2. Differentiate between various search algorithms.
3. Explain the current machine learning algorithms.
4. Summarize types of probabilistic reasoning and inference.