Mathematics for Game Development (PART 1)

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.

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.

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

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 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.

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.

"Skip the formulas and code—focus on the principles and visual results!" This lecture was designed for 3D artists and modelers who have given up on understanding PBR (Physically Based Rendering) due to technical barriers. To ensure you can apply it directly to your actual work without any programming knowledge, we explain the visual principles of how light reacts on object surfaces. Basic Physics of Light: We break down intimidating terms like speed of light, illuminance, and luminance into concepts that are easy for artists to understand. Visual Implementation of Surfaces: Learn the Fresnel characteristics inherent in all objects and light reflection based on roughness through 'visual principles' rather than code. Advanced Lighting Techniques: Analyze what difference IBL (Image-Based Lighting) and Global Illumination make in actual modeling results. Understanding the Rendering Equation: Elevate the quality of your work by understanding the Rendering Equation—the core of rendering engines—not as a formula, but as a 'promise' that shows the flow of light. #PBRforArtists #3DModelerCourse #NoCodeGraphics #PhysicallyBasedRendering #PBRPrinciples #RenderingEquation #FresnelEffect #GraphicsforNonMajors #3DRenderingBasics #CGArtist #IntroToRendering #VisualPrinciplesLecture #3DWorkTips

This is optimization theory required for AI/deep learning, computer vision, computer graphics, and more. Optimization Theory 1 focuses primarily on the definition of multivariable functions and their derivatives. Why is that? It is because all optimization problems are expressed in the form of multivariable functions. If you acquire an accurate definition of multivariable functions and the concept of differentiation, the theoretical approach to the aforementioned fields will become significantly easier.

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.

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.

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!

Based on questions from companies such as Nexon, NCSOFT, Krafton, and Netmarble, this explains core C++ concepts and problem-solving skills that job seekers and career changers must know. Pass your job tests and technical interviews all at once with actual exam questions from the past 10 years.

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.

Based on questions from companies such as Nexon, NCSOFT, Krafton, and Netmarble, this explains core C++ concepts and problem-solving skills that job seekers and career changers must know. Pass your job tests and technical interviews all at once with actual exam questions from the past 10 years.

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 provides a solid foundation in the essential linear algebra required for AI learning and research. It covers core concepts frequently encountered when preparing for AI graduate school admissions, reading research papers, and conducting research, as well as fundamental numerical linear algebra techniques.

This course is not just about "knowing how to use" C++, but about elevating your skills to a level where you can "explain how it works." It is dedicated to students who want to properly learn object-oriented programming.

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.

Introducing AI entry-level study methods for undergraduates.