Mathematics for Game Development (PART 1)

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 teaches the fundamentals of graphics through DirectX 12. You will learn the principles behind how objects in a 3D world are drawn on a monitor screen.

Have you been getting stuck on linear algebra formulas every time you try to study AI? Instead of memorizing formulas, this lecture shows you visually how vectors and matrices actually move in space. By the end of the course, you will be able to interpret the mathematics behind neural networks, PCA, and SVD on your own.

This course is for those who want to understand the calculus and backpropagation formulas behind deep learning. Starting with functions and limits, you will learn derivatives, the chain rule, gradients, and gradient descent in sequence, then manually calculate the forward propagation, loss calculation, backpropagation, and weight updates of a small neural network. Explore the concepts through animations without coding or installation, and connect the formulas to the AI learning process.

You can understand the theoretical operating principles of the EKF (Extended Kalman), UKF (Unscented Kalman), and Particle Filter through simple examples.

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!

This course delves into the essential concepts of matrix calculus, focusing on its applications in machine learning and large-scale optimization. Learners will explore techniques to understand and compute derivatives of matrices and their factorizations, enhancing their ability to tackle complex mathematical operations in modern computing.

✅ (1) Creating an actual CUDA kernel, out of the complete series from (1) to (6) ✅ Explaining NVIDIA GPU + CUDA programming step-by-step from the basics. ✅ Processing arrays, matrices, image processing, statistical processing, and sorting very quickly using parallel computing with C++/C.

Linear Algebra in One Go. Learn linear algebra concepts in detail—concepts that, once learned, will serve as the building blocks for your thinking for a lifetime. Going beyond simple explanations, we kindly guide you through practical exercises to show you how to apply them in real-world situations.

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.

✅ (3) CUDA Memory Hierarchy Optimization, out of the full (1) to (6) series ✅ Explains NVIDIA GPU + CUDA programming step-by-step from the basics. ✅ Uses C++/C to process arrays, matrices, image processing, statistical processing, sorting, etc., extremely fast through parallel computing.

Introducing AI entry-level study methods for undergraduates.

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.

This course goes beyond simple grammar explanations and focuses on developing C++ programming skills that can be applied immediately in the field. Throughout my teaching, I have directly addressed common challenges faced by many learners—such as struggling to understand the STL or feeling confused by file handling and exception handling concepts. Based on this experience, I provide step-by-step explanations to ensure even complex concepts are understood easily and clearly. Furthermore, this course is not just about delivering theory; it is structured around: 👉 "Why this concept is necessary" 👉 "How it is used in actual code" 👉 "How it is applied in professional practice"

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.