Data Structures and Design Patterns for Game Developers

Go to class
Write Review

Free Online Course: Data Structures and Design Patterns for Game Developers provided by Coursera is a comprehensive online course, which lasts for 4 weeks long, 22 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. Data Structures and Design Patterns for Game Developers is taught by Dr. Tim "Dr. T" Chamillard.

Overview
  • This course is a stand-alone course that builds on the knowledge included in the C# Programming for Unity Game Development Specialization, so the course assumes you have the prerequisite knowledge from that Specialization. You should make sure you have that knowledge, either by taking those courses or from personal experience, before tackling this course. Throughout this course you'll build on your foundational C# and Unity knowledge by developing more robust games with better object-oriented designs using various data structures and design patterns.

    Data structures and design patterns are both general programming and software architecture topics that span all software, not just games. Although we'll discuss these ideas in the game domain, they also apply if you're writing a web app in ASP.NET, building a tool using WinForms, or any other software you decide to build.

    Module 1: Explore a Dynamic Array data structure and learn the basics of algorithm analysis
    Module 2: Learn about and use the common Linked List and Graph data structures
    Module 3: Learn about and use several additional data structures: Stacks, Queues, and Trees
    Module 4: Learn why design patterns are so useful and discover a number of design patterns useful in game development

    “Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.

    This course is an independent work and is not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates

Syllabus
    • Dynamic Arrays and Algorithm Analysis
    • Linked Lists and Graphs
    • Stacks, Queues, and Trees
    • Design Patterns