Learning Computer Architecture from Scratch - From Transistors to CPUs

Have you been getting stuck on linear algebra formulas every time you try to study AI? Instead of memorizing formulas, this lecture shows you visually how vectors and matrices actually move in space. By the end of the course, you will be able to interpret the mathematics behind neural networks, PCA, and SVD on your own.

If you're a React developer, you've probably wrestled with useMemo and useCallback at least once, wondering "Do I really have to do this manually?" Finally, the React Compiler has arrived to solve that dilemma. However, whenever new technology emerges, reading through extensive official documentation from start to finish can be overwhelming. That's why I've carefully analyzed the React Compiler official documentation and prepared a course that extracts only the essentials for easy understanding. This course covers: - Why: Why the React Compiler was created and how it differs from existing approaches - How: Installation and configuration methods to apply directly to your projects - Troubleshooting: Key precautions emphasized in the official documentation and error resolution tips Now break free from the pain of manual memoization and focus solely on business logic. This course will upgrade your React development experience to the next level.

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

When people decide to build a CPU, they usually start by looking for a circuit diagram. However, the moment they unfold the schematic, unanswerable questions arise: Why must this block be here? Why are there two ports for reading registers? The answers all lie within the instructions. Once you know what an instruction requires, the necessary circuitry is determined. It doesn't work the other way around. There are already many RISC-V lectures available. However, most of them simply display values on a slide, say "This is how it works," and move on. Students have no way to verify if those values are correct. This course provides a Python-based instruction execution simulator. When you type `run ADD`, the machine code is assembled on the spot, the 32 bits are laid out by field, and you can see exactly how the registers change on your screen. Every number in the textbook is a result of this tool's execution, and it can be reproduced identically on your screen. Commercial debuggers require licenses, and simulators often have installation barriers. This tool only requires Python. You don't need a board, a license, or a complex setup. This is a process of executing all 40 RV32I instructions without skipping a single one, discovering for yourself what the circuit needs to do.

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.

✅ Among the series of (1) to (7), (1) Changes in the role of computers, hierarchical structure, abstraction, PC structure ✅ CS101 series lectures - From basic computer theory to the latest practical examples - Provides a wide range of basic knowledge

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.

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

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.

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.

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.

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

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!

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

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]!

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.

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