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GAME DATA SCIENCE



 

Game data science, defined as the practice of deriving insights from game data, has created a revolution in the multibillion-dollar games industry - informing and enhancing production, design, and development processes. Almost all game companies and academics have now adopted some type of game data science, every tool utilized by game developers allows collecting data from games, yet there has been no definitive resource for academics and professionals in this rapidly developing sector until now.


Games Data Science delivers an excellent introduction to this new domain and provides the definitive guide to methods and practices of computer science, analytics, and data science as applied to video games. It is the ideal resource for academic students and professional learners seeking to understand how data science is used within the game development and production cycle, as well as within the interdisciplinary field of games research.


Organized into chapters that integrate laboratory and game data examples, this book provides a unique resource to train and educate both industry professionals and academics about the use of game data science, with practical exercises and examples on how such processes are implemented and used in academia and industry, interweaving theoretical learning with practical application throughout.

 

PUBLICATION DETAILS

LANGUAGE

BINDING

EDITION

ISBN

YEAR

PAGES

English

Paperback


9780192897886

2022

416

English

Hardcover


9780192897879

2022

416

English

eBook


N/A

2021

416

OTHER NAMES

Game Data Science

 

TAGS


Publishers: #OxfordUniversityPress (Oxford University Press) #OUPOxford (OUP Oxford)

Languages: #English

Accessibility: N/A

Year: #Year2022

Genres: #GameDesign


Companies:

#Bioware (Bioware)

#EA (Electronic Arts)

#PlayableGames (PlayableGames)

#Sony (Sony)

#SquareEnix (Square Enix)

#THQ (THQ)

#Ubisoft (Ubisoft)

#Volition (Volition)


Public Figures:

N/A


Games:

N/A


Misc:

#CareerHelp (Career Help)

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