A practical guide on how to use Unity for building cross-platform mobile games and Augmented Reality apps using the latest Unity 2020 toolsetKey FeaturesCreate, deploy, and monetize captivating and immersive games on Android and iOS platformsTake your games into the real world by adding augmented reality features to your mobile projectsKick-start your mobile game development journey with step-by-step instructions and a demo game projectBook DescriptionUnity 2020 brings a lot of new features t...

Publisher's note: This edition from 2020 is outdated and does not make use of the most recent Unity and C# features. A new sixth edition, updated for Unity 2021 and including new advanced C# topics, such as reading, writing, and serializing data, has now been published. Key FeaturesUnderstand C# programming basics, terminology, and coding best practicesPut your knowledge of C# concepts into practice by building a fun and playable gameCome away with a clear direction for taking your C# program...

For database systems courses in Computer Science This book introduces the fundamental concepts necessary for designing, using, and implementing database systems and database applications. Our presentation stresses the fundamentals of database modeling and design, the languages and models provided by the database management systems, and database system implementation techniques. The book is meant to be used as a textbook for a one- or two-semester course in database systems at the junior, seni...

Usability Testing Essentials presents a practical, step-by-step approach to learning the entire process of planning and conducting a usability test. It explains how to analyze and apply the results and what to do when confronted with budgetary and time restrictions. This is the ideal book for anyone involved in usability or user-centered design-from students to seasoned professionals.

Filled with new examples and case studies, Usability Testing Essentials, Second Edition is completely updated...

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematica...

User interface (UI) design rules and guidelines, developed by early HCI gurus and recognized throughout the field, were based on cognitive psychology (study of mental processes such as problem solving, memory, and language), and early practitioners were well informed of its tenets. But today practitioners with backgrounds in cognitive psychology are a minority, as user interface designers and developers enter the field from a wide array of disciplines. HCI practitioners today have enough expe...