Intro Artificial Intelligence

(3 Credit Hours) · Undergraduate

Foundational concepts and techniques in AI and machine learning. Historical overview of the field. Search and logic programming. Canonical machine learning tasks and algorithms: supervised and unsupervised learning (classification and regression). Essential concepts from probability and statistics relevant to machine learning. Performance characterization. Modern software environments for machine learning and AI programming. Applications in unsupervised and supervised learning from image and textual data.