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✅ Out of the entire series (1) ~ (7), (5) operating system, user interface, database ✅ CS101 series lectures - From basic computer theory to the latest practical examples - Provides a wide range of basic knowledge

Have you ever had a hard time because you didn't understand IT infrastructure (server, network, storage, etc.) technology? Do you want to understand how IT infrastructure is structured and what technologies are applied? This is the only lecture in Korea that explains the various technologies that make up IT infrastructure!

AI Tech DNA Series: Core Principles of Computer Basics from an AI Perspective is an introductory course designed to help you easily understand the fundamental computer concepts necessary for the AI era. By explaining basic principles such as CPU, memory, storage, networks, and data structures through real-life analogies and an AI-focused lens, it builds the solid foundational strength needed to advance into Python, AI, security, and the cloud.

This guide provides easy and detailed explanations of the core concepts and practical tips for RISC-V, the latest open-source-based CPU architecture.

You can learn about the basic structure and operating principles of computer hardware, design methods, and OS, and acquire the knowledge necessary to create good programs.

Together with Professor Soon-chil Lee, South Korea's leading authority on quantum computing, you will systematically learn everything from the core principles of quantum technology to its business impact. Through the basic concepts of quantum mechanics, the operating principles of quantum computers, and industrial application cases, you will complete your quantum literacy to preemptively understand future technological changes and establish strategies.

An introductory course to experience the entire flow of embedded development, from Linux installation to robot control. When starting with embedded systems, it can be overwhelming to know where to begin. This course is designed for those people, structured so you can experience the entire process—from a single PC to moving a robot—all at once. We cover everything from Linux installation, basic configuration, and Raspberry Pi preparation to reading schematics and datasheets, as well as hands-on practice with basic communication interfaces. The focus is on understanding the overall structure rather than deep technical complexity.

This is a practical AP-based high-speed motherboard design course required by professionals at Samsung, LG, Hyundai Motor, and Hanwha Systems in the robotics and industrial equipment sectors. Based on the RK3399 SOM, the course covers PMIC power sequencing, LPDDR4 constraints (length/impedance/return path), and the design of USB3, HDMI, MIPI, and PCIe all in one package. You will complete the process from design rationale documentation and schematic creation to layout design and bring-up inspection as final deliverables.

The author of "Learning the Structure and Principles of the Linux Kernel Through Debugging" provides a proper explanation of the core concepts of 'Workqueues' in the latest Linux kernel (v6.1), which is most widely used in system software.

This course covers the fundamental concepts of electromagnetism and teaches how to connect theories related to Maxwell's equations with actual physical phenomena. Students will come to understand physical meanings through the mathematical analysis of electromagnetics.

This lecture explains the principles of computer architecture, which is the knowledge underlying programming, for non-majors. The goal of the lecture is to become familiar with the principles of program operation.

The rules of every game are changing — a new dimension of business opened by quantum computing. Moving beyond simple technological advancement, quantum computing has already emerged as a key variable determining the future business landscape, poised to shift paradigms across all industries. This analysis provides insightful perspectives on the massive wave of technological change, covering everything from the basic principles of quantum computers to innovation cases in finance, pharmaceuticals, security, and the strategic moves of global Big Tech. It offers the most definitive roadmap for professionals who wish to gain quantum literacy without complex physics knowledge and transform into future-ready talent.

The 0s and 1s we talk about, HIGH and LOW, logic gates and flip-flops— they all emerge from the physical event of analog signals crossing a threshold. If so, wouldn't understanding the world before logic— the movements created by current and voltage— be the true beginning of circuit design? This course takes that first step together.

It explains the core concepts and practical tips of RISC-V, the latest open-source-based CPU architecture, in an easy and detailed manner.

This course is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems. Learners will study kinematics, force-momentum formulations, and work-energy concepts.

This course emphasizes the structural principles of digital systems and introduces architectures commonly applied across various technologies. Learners will cover a wide range of topics, including multi-level implementation strategies, the definition and mechanisms of new primitive elements, and performance measurement.

We explain the core concepts of computer architecture and operating principles that SW developers need to know, using easy-to-understand illustrations.

✅ This is an introductory lecture (0) that introduces the entire series of lectures (1) to (7). ✅ CS101 series lectures - From basic computer theory to the latest practical examples - Provides a wide range of basic knowledge

Students will learn the fundamentals of digital circuits, including Boolean logic, logic gates, circuit simplification, state machines, and Register Transfer Level (RTL) design. Additionally, students will learn design methods using Verilog.

Many developers say they have learned object-oriented programming. However, in reality, most only know the "syntax" of classes, inheritance, and polymorphism. This lecture is not a syntax explanation. ✔ Why did object-oriented programming emerge? ✔ What is an object, and why is 'responsibility' important? ✔ Why does polymorphism create scalable structures? ✔ How does object-oriented programming connect to computer science? I will summarize the "real object-oriented thinking" I felt while personally experiencing system design in just 30 minutes. Through this lecture, you will come to understand object-oriented programming not as a 'coding style,' but as a 'design strategy for controlling complexity.'