ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Catalog description

Introduces the fundamental concepts and techniques of intelligent systems. Topics include knowledge representation, search strategies, predicate logic, and expert systems. The course also covers machine learning, with topics such as regression, supervised learning (e.g., perceptrons and neural networks), unsupervised learning, and data visualization. Prerequisites: CSCI 152, CSCI 251, MATH 151. This course fulfills a MATH elective for mathematics majors.