CMPM230: Game Data Science

Introduces the topic of game data science, where students use game data to understand players’ behaviors. Goes through the process of data collection, processing, cleaning, visualization, analysis and reporting in detail. Covers the fundamental tools, methods, and principles of data science, including the feature extraction and selection, pattern recognition. Uses outputs of such methods to help derive design decisions concerning churn analysis and user segmentation. Enrollment is restricted to graduate students in games and playable media, serious games, human computer interaction, and computational media programs; or by permission of the instructor.

5 credits

Year Fall Winter Spring Summer

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