Intermediate

The most up-to-date, comprehensive overview of e-commerce today. For courses in e-commerce. E-Commerce 2023: Business, Technology, Society, Global Edition is an in-depth, thought-provoking introduction to e-commerce focusing on key concepts and the latest empirical and financial data.

Hundreds of examples from companies such as Meta (R), TikTok (R), Netflix (R), YouTube (R), Walmart (R) and Amazon (R) illustrate how e-commerce is altering business practices and driving shifts in the global ec...

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.

Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and m...

Processing opened up the world of programming to artists, designers, educators, and beginners. This short book gently introduces the core concepts of computer programming and working with Processing. Written by the co-founders of the Processing project, Reas and Fry, Getting Started with Processing shows you how easy it is to make software and systems with interactive graphics.

If you're an artist looking to develop interactive graphics programs or a programmer on your way to becoming an arti...

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...

The book provides a contemporary foundation in designing social impact games. It is structured in 3 parts: understanding, application, and implementation. The book serves as a guide to designing social impact games, particularly focused on the needs of, media professionals, indie game designers and college students.

It serves as a guide for people looking to create social impact play, informed by heuristics in game design. Key FeaturesProvides contemporary guide on the use of games to create ...

Can we learn through play? Can we really play while learning?Of course! But how?!We all learn and educate others in our own unique ways. Successful educational games adapt to the particular learning needs of their players and facilitate the learning objectives of their designers. Educational Game Design Fundamentals embarks on a journey to explore the necessary aspects to create games that are both fun and help players learn.

This book examines the art of educational game design through vario...

Written by a game developer and professor trained in architecture, An Architectural Approach to Level Design is one of the first books to integrate architectural and spatial design theory with the field of level design. It explores the principles of level design through the context and history of architecture. Now in its second edition, An Architectural Approach to Level Design presents architectural techniques and theories for you to use in your own work.

The author connects architecture and...

The Art of Game Design guides you through the design process step-by-step, helping you to develop new and innovative games that will be played again and again. It explains the fundamental principles of game design and demonstrates how tactics used in classic board, card and athletic games also work in top-quality video games. Good game design happens when you view your game from as many perspectives as possible, and award-winning author Jesse Schell presents over 100 sets of questions to ask ...

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...