Computational Thinking (Part 2) - Problem Solving Through Software

Alongside reading, writing, and arithmetic, computational thinking is a skill that everyone living in the AI era must possess. Computational thinking can be simply defined as thinking like a programmer or thinking like a computer scientist. This course faithfully reproduces an actual university semester-long course and covers essential content for those encountering programming for the first time or beginners planning to major in computer science. It also helps non-computer science majors and people with humanities backgrounds develop the ability to communicate easily with professional programmers. Even in an era when we need to learn prompting for AI vibe coding, this course helps learners develop the ability to give AI more accurate and effective instructions through computational thinking.

Alongside reading, writing, and arithmetic, computational thinking is a skill that everyone living in the AI era must possess. Computational thinking can be simply defined as thinking like a programmer or thinking like a computer scientist. This course faithfully reproduces an actual university semester-long course and covers essential content for those encountering programming for the first time or beginners planning to major in computer science. It also helps non-computer science majors and people with humanities backgrounds develop the ability to communicate easily with professional programmers. Even in an era when we need to learn prompting for AI vibe coding, this course helps learners develop the ability to give AI more accurate and effective instructions through computational thinking.

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.

Through this course, you can acquire the concepts and practices of Information Strategic Planning.

Learn object-oriented design methods, represented by the responsibility-driven design method, and explore how to make design tradeoffs in terms of cohesion, coupling, and encapsulation.

Are you a non-major who doesn't know how to start learning C language? Did you learn C language as a major in school, but still can't write code? What's the point of studying C language for a long time? When you can't even create a single line of code properly... I'll pass on the know-how so you can program yourself. In this course, together with an experienced senior developer, you'll gradually learn C language grammar and application methods, and I'll guide you to a level where you can work on simple projects.

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

In the software system design course taught by Silicon Valley engineers, you will learn the design principles and architectural patterns of large-scale systems and how to build stable and scalable software solutions. In addition, you will cover performance optimization and fault response strategies through practical cases.

This is a course where you can learn UML and object-oriented design even without programming experience. Concepts are explained through everyday examples (cafes, libraries, shopping malls), and you'll learn 9 types of UML diagrams step by step. You'll develop design skills that can be immediately applied in practice using theory and PlantUML.

This course breaks down microservice architecture and distributed environments not as a mere list of technologies, but through the "design perspective" required in actual practice and interviews. Starting from the differences between Monolithic and MSA, it covers gradual migration strategies, Modular Monoliths, Clean Architecture, and Hexagonal Architecture step-by-step, clearly explaining why each choice is necessary and the resulting trade-offs. Furthermore, through hands-on practice, you can directly verify the intent of the structures and learn about core issues inevitably encountered in distributed environments—such as data consistency, transactions, inter-service communication, and fault tolerance—through realistic scenarios. Based on the actual questions and perspectives of a Kakao interviewer, this course aims to go beyond simple knowledge acquisition and elevate your very way of thinking about distributed systems to the next level.

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.

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 course summarizes the essential concepts you must know before learning any programming language. Furthermore, by practicing with a dedicated training system, anyone can easily acquire the critical thinking skills necessary for programming.

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.

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.

A comprehensive course covering AI-era-proof Silicon Valley internships, 30 big-tech system designs, and hands-on open-source contributions. Using real-world cases from Netflix, Tesla, Meta, Tinder, and other big tech companies, you’ll design and scale 30 practical system designs. Finally, you’ll design your own service from architecture to database to scaling.

Hear essential insights for developer career growth from the top 1% of developers.

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++.

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."