Artificial Intelligence I

3 credits · Undergraduate

This course introduces foundational concepts, techniques, and applications of artificial intelligence (AI), blending classical approaches with recent advancements in the field. Students study traditional AI methods, including search algorithms and knowledge representation, alongside contemporary techniques such as modern machine learning and probabilistic modeling. This course emphasizes understanding algorithmic frameworks and the evolution of AI methods to solve complex problems. Prerequisite(s): CPSC 281-3 and MATH 220-3, or permission of the instructor