Mathematics for Game Development (PART 1)

This lecture reveals employment secrets to prepare you for game programmer interviews. It handpicks frequently asked interview questions for game programmers.

You should stop programming by searching for and copying source code from Google. It is important to code freely on your own without relying on other people's code.

I had previously created a simple engine structure with DX11, and now this is a course where the functionality implementations of the engine transitioning to DX12 are implemented in earnest. From the standpoint of having developed my own engine for a long time, I have made efforts to make it easy to approach so that many people can develop their own engines. Stop struggling with GPT, Google, and searching for materials anymore.

This lecture is for those who tried to study advanced algorithms but feel lost on how to approach problems with just the basic data structures and algorithms found in books.

Easily learn data structures and algorithms, which were difficult to learn with C++, in easy steps. Unlike typical lectures, this course combines data structures and algorithms, allowing you to learn them simultaneously while considering their interrelationships.

This is the process of refactoring a game engine made with C++ using the DirectX 11 library. It was developed by inferring internal code, allowing you to think about the internal principles of the Unity engine. This is not a project at the level of a rendering program typically covered in academies/lectures. It builds a real game engine incorporating various technologies, from the build system and scripting.

This is the process of creating a game engine using C++, similar to the Unity game engine. It was created by inferring the internal code, and through this, we can think about the internal principles of the Unity engine.

This lecture covers the basics of how the virtual world that makes up a game is created with mathematics. Through basic mathematics, you will understand the principles of game engine composition and learn practical game mathematics that makes up a three-dimensional space.

This course covers introduction to linear algebra, and you can master introduction to linear algebra through the lectures.

This course is a practical one that covers the fundamental concepts of machine learning mathematics and statistics using Python. Machine learning and deep learning require programming skills, but also a mathematical background to grasp their principles. Through this course, you can steadily master the foundational math needed for AI!

It's an undeniable fact that mathematics is essential for game developers. Instead of excessively deep traditional math lectures, learn all the mathematical techniques you can use right away!

In this course, you will learn how to solve various matrix calculation related problems using Python's SciPy library. Even if you do not know Python or have only a little prior knowledge, you will be able to solve the given problems.

For those who are interested in game development and know that math is important, but don't know what math to study, I've prepared a lecture that provides a general explanation. I want to talk about the various maths used in the game production process.

These mock technical interview questions were created by Jushin Game Academy, which has produced numerous game client developers over the past 10 years, based on their diverse experiences. We will support your employment as a game client developer.

This is a course to create a game using C++. If you want to learn basic grammar step by step and create a game quickly, learn the grammar through this course and apply it right away to create a game.

Introducing AI entry-level study methods for undergraduates.

✅ Of the series (1) to (6), (1) Making a CUDA kernel ✅ NVIDIA GPU + CUDA programming is explained step by step from the basics. ✅ Processes arrays/matrices/image processing/statistical processing/sorting, etc. very quickly with parallel computing in C++/C language.

Easily learn data structures and algorithms, which were difficult to learn with C++, in easy steps. Unlike typical lectures, this course combines data structures and algorithms, allowing you to learn them simultaneously while considering their interrelationships.

This lecture is for those who tried to study advanced algorithms but feel lost on how to approach problems with just the basic data structures and algorithms found in books.