COGS 4430 - Learning and Advanced Game AI

In this course students will explore machine learning techniques to automate the design process of digital games. The course will provide hands-on experience using topics such as Decision Trees, Neural Networks, Genetic Algorithms, and Reinforcement Learning. The course will also introduce psychological theories about peoples’ decision-making and emotional processes and how they relate to players’ experience in games. The course will consist of a combination of lectures, presentations by students, class discussions, and independent study.

Prerequisite: COGS 4420 or CSCI 4150

When Offered: FALL TERM ANNUALLY

Co-Listed: COGS 6430 . Students cannot obtain credit for both COGS 4430 and COGS 6430.

Graded: GRADED

Credit Hours: 4