Akademik Veri Yönetim Sistemi
This course aims to provide background information and provide an overview of contemporary data analytics uses in game development and entertainment. The lectures will cover subjects such as player profiling, approaches for analyzing player communities and their social structures, matchmaking, churn prediction and customer lifetime value estimation, analytical results communication, and visual approaches to game analytics. The course aims to balance theory and practice by having students implement all of the described methods, test them in various game environments, and study current research papers on data analytics in games and entertainment.