Introduction to Data Structures and Algorithms (Data Structure and Algorithms)

Let's develop the ability to find rational decision-making models based on mathematical thinking by understanding various elements of AI and data, and solving real-world problems using ChatGPT and no-code programming!

It improves logical thinking skills, fosters the ability to understand how to use programming tools, and develops the capacity to design algorithms for problem-solving.

Let's build the skills to develop web applications using React and cultivate the capability to apply them in practice!

Let's practice learning how to translate real-life and major-related problems into actual computer programs and utilizing Python-based AI tools!

Let's become creators using ChatGPT and generative AI!

Let's acquire the Python coding skills necessary for artificial intelligence by learning the basics of the Python programming language!

Understand and learn about Artificial Intelligence and AI ethics, and strengthen your AI digital capabilities by integrating them with your own field of study!

Let's understand the major algorithms of machine learning and deep learning, and get to know artificial intelligence!

Let's design, implement, and develop while learning the basic and object-oriented concepts of the C++ language!

Learn machine learning techniques using Python and improve your ability to extract information from real-world data and develop predictive models!

Let's use the R language, which processes data easily and conveniently, to help even non-computer science majors develop their skills in utilizing computer programs related to their own fields!

Modern C++ Programming based on Object-Oriented Concepts for Computer Science Majors

Java Programming Based on Object-Oriented Concepts for Computer Science Majors

Let's understand machine learning and deep learning model algorithms by using Keras!

Let's understand object-oriented concepts through Java programming and improve our program design and problem-solving skills!

It improves logical thinking skills and cultivates the capacity to converge one's major with information and communication technology in the era of the Fourth Industrial Revolution.

Let's collect and refine data through public data, web scraping, and more, and perform exploratory data analysis!

Let's learn how to use Git and GitHub and use them for collaboration!

Let's develop data-driven administrative practical skills to empirically solve administrative and policy problems by analyzing public data with R and Python!

Let's cultivate professional expertise in programming, algorithms, and statistical analysis!

Through this lecture, you can learn about nonlinear data structures and algorithms.

✅ Out of the entire series (1) ~ (7), (4) data structure, algorithm, object-oriented, programming language ✅ CS101 series lectures - From basic computer theory to the latest practical examples - Provides a wide range of basic knowledge

It improves logical thinking skills, fosters the ability to understand how to use programming tools, and develops the capacity to design algorithms for problem-solving.

Build your coding skills by implementing data structures in Java from the ground up.

Slowly study the C language, which includes the basics of program development that developers need to know.

For learners just starting programming, C can feel difficult because of unfamiliar concepts such as variables, operators, conditional statements, loops, functions, arrays, and pointers. This course is an introductory C programming course taught directly by Professor Chang-Hyun Lee, the author of *C Language on My Own* and a developer with 25 years of experience. Rather than simply memorizing C syntax, the course explains step by step why each piece of syntax is needed, how it works in a program, and how to solve real-world problems with code. Starting with the fundamental concepts of programming, you will learn the core basics of C one by one, including variables and data types, operators, conditional statements, loops, functions, arrays, and pointers. Assignments for each part also provide hands-on experience writing code and solving problems using what you have learned. Drawing on 25 years of experience in development and education, this course guides beginners in C programming so they can build a solid foundation in the fundamentals of programming.

The Code Puzzle Clear Challenge is a 4-week intensive training course based on "Learn to Code 1" in Swift Playgrounds, designed to develop "computational thinking" by giving commands to make a computer move as intended. By solving puzzle missions in each session, participants naturally learn to break down problems into smaller steps (decomposition), recognize patterns to organize repetitive rules using for-loops or functions, and make logical judgments to change actions based on specific situations. Beyond simply finding the right answer, participants reach a level where they can explain and refine "why they solved it this way."

This is a game development & algorithm course that focuses on the algorithms and principles of 2D game development from the ground up using Windows API and C++.

When learning Swift, the iOS programming language, it can be confusing when multiple concepts appear all at once. That's why I created this course with the principle that "when understanding a new concept, only previously learned concepts should be used." So this course is meticulously designed with a sequential structure between concepts, where only one new concept appears at each stage, and no other unfamiliar concepts appear at all. One concept per minute, 180 concepts total. From the basics of variables and constants to understanding memory structure from a CS perspective, and even the latest syntax for asynchronous processing. In 3 hours, you'll learn 180 core concepts in the designed order.

This is an online lecture that systematically organizes pathfinding and spatial partitioning algorithms used in game production.

When learning Swift, the iOS programming language, it can be confusing when multiple concepts appear all at once. That's why I created this course with the principle that "when understanding a new concept, only previously learned concepts should be used." So this course is meticulously designed with a sequential structure between concepts, where only one new concept appears at each stage, and no other unfamiliar concepts appear at all. One concept per minute, 180 concepts total. From the basics of variables and constants to understanding memory structure from a CS perspective, and even the latest syntax for asynchronous processing. In 3 hours, you'll learn 180 core concepts in the designed order.

Learn the principles of Diablo 1-style PCG dungeon generation by implementing its structure in the console, with the theme 'Technology Supporting Game Development in the AI Era'. Expand this to 3D in Unity to complete a generation pipeline equipped with seed-based dungeon generation, mesh placement rules, and debug tooling. Through sample code and hands-on practice, connect to AI-assisted art production workflows, enabling you to create immediately applicable dungeon crawler prototypes.