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Spring 2024 Semester
May 15, 2024
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GSND 6350 - Data-Driven Player Modeling
Introduces the topic of game analytics, defined as the process of discovering and communicating patterns in data with a goal of solving problems and developing predictions in user behavior supporting decision management, driving action, and/or improving game products. Covers the fundamental tools, methods, and principles of game analytics, including the knowledge-discovery process, data collection, feature extraction and selection, pattern recognition to aid in prediction and churn analysis, visualization, and reporting. Covers analytics across game forms, notably online games and delivery platforms. Presents analytical tools recommended during development and tools designed for ongoing maintenance of games.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Seminar

Art and Design Department

Course Attributes:
GS Col of Arts, Media & Design

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate
Must be enrolled in one of the following Colleges:     
      Coll of Soc Sci & Humanities
      College of Engineering
      College of Science
      Coll of Arts, Media & Design
      Khoury Coll of Comp Sciences

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