Matthew Guzdial

CMPUT 256 - Game Artificial Intelligence

The purpose of this course is for students to gain a breadth of understanding of the AI approaches employed in digital games. This involves learning basic topics covered in other AI courses as they apply to digital games and more specialized game AI topics. Assignments will involve programming Game AI algorithms across a variety of areas including pathfinding, decision making, and data science. Prerequisite: CMPUT 174 or 274.

MMA 606 - Machine Learning for Business II

Builds upon the foundational knowledge students acquired in Machine Learning for Business I, diving deeper into the specialized applications of machine learning techniques to unstructured data. By exploring areas such as text analytics, network analytics, recommender systems, and deep learning applications, students will gain a robust understanding of how to handle and analyze unstructured data such as text and images, which constitute a significant proportion of the data businesses encounter Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

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