Computational Thinking (Part 2)

Along with reading, writing, and arithmetic, computational thinking is an essential skill that everyone living in the AI era must possess. Simply put, computational thinking can be defined as thinking like a programmer or a computer scientist. This course replicates an actual full-semester university lecture and covers essential content for those new to programming or beginners planning to major in computer science. Furthermore, through this course, non-computer science majors or those with a background in the humanities can develop the ability to communicate easily with professional programmers. Even in an age where learning prompts for "AI vibe coding" is necessary, computational thinking will help you develop the ability to instruct AI more accurately and effectively.

In this lecture, you can learn linear data structures and algorithms.

Along with reading, writing, and arithmetic, computational thinking is an essential skill that everyone living in the AI era must possess. Simply put, computational thinking can be defined as thinking like a programmer or a computer scientist. This course replicates an actual full-semester university lecture and covers essential content for those new to programming or beginners planning to major in computer science. Furthermore, through this course, non-computer science majors or those with a background in the humanities can develop the ability to communicate easily with professional programmers. Even in an age where learning prompts for "AI vibe coding" is necessary, computational thinking will help you develop the ability to instruct AI more accurately and effectively.

✅ 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

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

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

Strengthen your coding skills through coding test problems by learning Python-based data structures and algorithms!

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.

This is a course for job seekers / career changers preparing for coding tests in JAVA as backend developers. We analyze 195 actual exam questions to clearly explain the question types.

Want to take your code to the next level? 🚀 For beginner developers, I've prepared the 'Python Design Patterns' 📖 course. Complex design know-how is made easy to understand with practical examples. In this course, you'll learn these things: 💼 **Practical Example-centric**: Real-world examples you can apply immediately 📚 **Mastering Classic Patterns**: Master GoF's core patterns 🐍 **Pythonic Tips**: How to write more concise and efficient code It will boost your confidence in code design! ✨

Learn Java-based data structures and algorithms, and grow into a competitive coding expert with practical problems!

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 guides you to accurately understand essential programming concepts and theories that are often neglected in the rush of implementation. By learning similar, contrasting, and related concepts together, you will master multiple ideas at once. After completing this course, you will become a developer with a solid conceptual foundation.

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++.

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

# Silicon Valley Internship That Won't Get Cut Even in the AI Era & Complete Course on 30 Big Tech System Designs & Open Source Practical Contributions All students who submit course missions can apply for an AI startup internship in Palo Alto, USA, with exemption from document screening and guaranteed interview opportunities. This course involves designing and scaling 30 real-world system designs based on big tech cases including Netflix, Tesla, Meta, and Tinder. Finally, you'll design your own service from architecture → DB → scaling, contribute to an actively operating open source AI coding agent project (achieving 1.8k downloads per week) to complete your portfolio, and finalize your resume.

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.

To solve the problems of 'complexity' and 'inefficiency' commonly experienced by professionals, researchers, and engineers in modern society, I propose practical solutions that I have refined over 40 years of intense field experience at Hyundai Motor Group. 1. The 'Problem' You Face: The Flood of Information and the Cycle of Reactive Firefighting Many students are blocked by the following three barriers: Information Overload and Search Limitations: Unable to identify what is essential among the millions of papers and data published each year, wasting time on search labor. Reactive Work Methods: In manufacturing and design settings, remaining stuck in a 'firefighter' role of finding causes and working through the night to solve problems only after they occur. Breakdown in Organizing Thoughts and Communication: Despite having excellent ideas in mind, experiencing frustration in front of a 'blank screen' due to inability to implement them into systematic reports or logic. 2. The 'Solution' Infused with My Experience: Architect of Systems and Prediction As a 40-year R&D veteran engineer, I will transform your work paradigm from 'reactive' to 'predictive' through a 'practical system' rather than mere theory. ① Optimization of Knowledge Exploration: AI Hybrid Workflow I help you become a strategic researcher rather than a simple searcher. By partnering with comprehensive Google Scholar and Semantic Scholar that penetrates the context of papers, I teach you a 3-step master plan that first sees the forest (big picture) then collects the trees (detailed materials), dramatically reducing research time. ② Innovation in Design Intelligence: Predictive Design and Digital Twin I guide you into the world of 'Predictive Design' that leaves no room for problems to arise. Through DFSS (Design for Six Sigma) and DFR (Design for Reliability), you learn how to secure perfect quality from day one of launch. I teach you the essence of engineering that completes thousands of tests in the virtual world before creating actual prototypes, utilizing Digital Twin and MBSE (Model-Based Systems Engineering), virtual twins identical to reality. ③ Visualization of Logic: Architecture of Ideas I define writing as a 'reliable system' rather than talent. I establish the framework of logic with the Pyramid Principle (Answer First) that presents conclusions first and the MECE principle without duplication or omission. Through CREC model-based power writing, I transform you into an 'architect of thought' who constructs solid paragraphs that persuade anyone upon reading. 3. How You Will Transform Through This Course After completing this course, you will no longer be a firefighter running around putting out fires. You become a strategic architect who foresees and prevents future failures and risks with data and systems. You evolve into an integrated expert who smoothly solves business challenges as complex as automotive systems from a systems engineering perspective. Beyond simple knowledge acquisition, you will become an independent leader who maximizes your metacognitive thinking ability by utilizing AI as a 'cognitive gym.' The outdated Fast Follower strategy is now over. Through this system containing my 40 years of field insights, I hope you will obtain powerful weapons to lead your next 10 years.

Because you never know when or how software will grow, you always need to be prepared to continue growing. This provides one direction for that.

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

This course explores microservice architecture and distributed environments not as a simple list of technologies, but from a 'design perspective' required in actual work and interviews. Starting from the differences between monolithic and MSA, it progressively covers incremental migration strategies, modular monoliths, clean architecture and hexagonal architecture, clearly explaining why each choice is necessary and the trade-offs involved. Through hands-on practice, you can directly verify the intent of the structure and learn about core issues inevitably encountered in distributed environments—such as data consistency, transactions, inter-service communication, and failure handling—through realistic scenarios. Based on actual questions and perspectives from Kakao interviewers, this course aims to go beyond simple knowledge acquisition and elevate your way of thinking about distributed systems to the next level.