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Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: 1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.

Artificial intelligence is becoming an important component of modern computer games. Example applications of AI include increasing the subtly, sophistication, and intelligent behavior of non-player characters, enhancing the realism of the game world?s dynamics, and adapting game play to fit the user. In the context of computer games, fundamental AI methods for learning, planning, inference, and intelligent control can often be greatly strengthened compared to their real world counterparts. This course focusses on AI methods in a game setting which will be contrasted with AI in the real world. Students will develop an understanding of the methods rooted in this foundational difference and develop an appreciation for the state of the art. Grading is based on written and programming homework, and in particular on a sequence of implementation projects. An understanding of AI concepts and a solid facility in programming are required. Prerequisite CS 440 / ECE 448