CSC 140

Introduction to Artificial Intelligence (Spring 2021)

GSSM Course Description

See: GSSM Course Catalog

This course focuses on the basic algorithms of Artificial Intelligence. Problem modeling methods include data classification, regression analysis, clustering, and time series analysis. Supervised and unsupervised training as well as stochastic and deterministic training will be employed in projects. Teach paper cups to win a simple game based on Nim. Learn several methods for normalization of data and error calculation. Different methods of training are applied to classic problems such as the traveling salesman problem and the knapsack problem. PREREQ: CSC130 or permission of instructor.