Game Data Science

Introduces the topic of data science in computational experiences such as games, digital apps, and social media. Students develop methods to model behavioral patterns using data with the goal of supporting user research goals and/or improving the user experience. Covers the tools, methods, and principles of data science, including knowledge discovery, data collection, feature extraction and selection, pattern recognition, visualization, and reporting. Also covers analytics across computational media forms, e.g., games, digital apps, and social media. Enrollment is restricted to graduate students in Computational Media, and by permission of the instructor. Students must have a computational background to enroll. Enrollment is by permission of the instructor. (Formerly Game Data Science.)