Learning Computer Architecture from Scratch - From Transistors to CPUs

When you decide to build a CPU, you usually start by looking for a circuit diagram. But the moment you unfold the schematic, questions arise that you cannot answer. Why does this block need to be here? Why are there two ports for reading registers? The answer lies entirely in the instructions. Once you know what the instructions require, the circuits you need are determined. It does not work the other way around. There are already many RISC-V courses. But most of them display values on slides, say "This is how it works," and move on. Students have no way to verify whether those values are correct. This course comes with a Python instruction-execution simulator. Type run ADD, and the machine code is assembled on the spot, the 32 bits are broken down by field, and how the registers change appears on the screen. Every number in the textbook is the result of running this tool, and it can be reproduced identically on your screen. Commercial debuggers require licenses, and simulators are difficult to install. This tool only requires Python. No board, license, or installation is needed. You will execute all 40 RV32I instructions yourself without leaving out a single one, discovering along the way what the circuit needs to do.

This lecture is expected to help students build a foundation in computer architecture.

Bestseller 『Study Computer Architecture + Operating Systems on Your Own』 author's free lecture. A collection of computer architecture and operating systems books that developers must know.

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.

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

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

You will systematically learn the principles of how the CPU, memory, and disk collaborate, as well as how the operating system mediates resources. You will acquire practical foundational knowledge to read server specification sheets and identify performance bottlenecks, establishing a basis for learning about cloud and network technologies.

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!

Are you using code written by AI without even knowing what it does? It’s not enough for it to simply work—you need to make it perform well, yet when asked, “Why did you implement it this way?” you find yourself at a loss for words. The source of that frustration is a lack of fundamental CS knowledge and an understanding of how GPUs work. Through this course, you will learn the principles applied to CPUs and GPUs, along with the relevant CS knowledge, enabling you to control AI and give it instructions effectively. You will also be able to avoid being replaced by AI at your current company or when seeking employment or changing jobs, and earn a higher salary.

A course that helps you understand core concepts of computer architecture and trains you to explain them verbally in interviews.

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.

I have been working in the IT field for 20 years in development and construction. I would like to be a good guide for those who are entering or starting out in the development field.

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.

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.

Experience 90% of Digital Circuit Design hires had! Gain semiconductor product understanding + practical experience & specs + employment leverage tips through [Computer Architecture (CPU / SRAM / CACHE / DRAM / NAND) + SoC Protocol Design (FIFO / AMBA / Serial communication) projects most frequently used by current Samsung Electronics employees in practice]!

You can learn the basics of AWS and Terraform usage simultaneously. You can become familiar with them through hands-on practice.

Did you give up while learning Verilog and EDA tools? A semiconductor professor who designs NPUs himself will show you how to understand everything from CPUs to NPUs by calculating with just 9 Excel files.

Based on learning fundamental concepts of programming and Python, we solve mathematical problems using Python. (Solutions and roots of equations, drawing graphs)

Have you learned C++ and Java separately but felt confused about why they were designed differently? This course compares both languages simultaneously, helping you fully understand object-oriented structure, memory, and operational principles. Beyond simple syntax, you will gain a deep understanding through hands-on practice of: ✔ Compilation structures ✔ Memory model differences ✔ Internal workings of inheritance and polymorphism ✔ Virtual tables and JVM architecture Additionally, we provide a 'Python-based code comparison auto-generator tool' to help you visually understand the conversion structure between C++ and Java. We will elevate your skills from simply "using" object-oriented programming to a level where you can "design and explain" it.

I will transform the Engineer Information Processing written exam (Subjects 1–5) from a "test you solve by memorizing" into a "test where you connect clarified points directly to your score." This is an ultra-compressed lecture designed to help you grasp the entire flow within 3 days. It extracts only the core concepts repeated in past exams, structured to be understood even if viewed right before the test. The course is designed for short-term success by clearly distinguishing between frequently confusing concepts, trap points in multiple-choice options, and what needs to be memorized versus what only needs to be understood. "I'm short on time, but the scope is too broad." "I feel like I know the material when reading the book, but I keep getting the questions wrong." This lecture is for students facing these exact challenges.