You’ll learn how CPU and memory behavior explains why the same code can run at different speeds, and how to identify the bottlenecks that limit program performance. You’ll study pipelining, branch prediction, out-of-order execution, caches, and multicore processing, then calculate execution times and the performance gains from each technique in three comprehensive analysis projects. By the end of the course, you’ll be able to analyze how data access patterns and parallel processing affect performance, and determine when optimization is effective.

Do you add type annotations, yet do invalid data still only blow up at runtime? This course, based on TypeScript 7, covers everything from designing domains so invalid states cannot compile in the first place to writing programs that run inside the type checker. You’ll build five CLIs yourself, and by the end, complete a compiler that compiles your own small language into JavaScript.

This course is for those who want to understand the calculus and backpropagation formulas behind deep learning. Starting with functions and limits, you will learn derivatives, the chain rule, gradients, and gradient descent in sequence, then manually calculate the forward propagation, loss calculation, backpropagation, and weight updates of a small neural network. Explore the concepts through animations without coding or installation, and connect the formulas to the AI learning process.

Learn how computers represent, process, and store information by connecting transistors to logic gates, arithmetic circuits, memory, and the CPU. Through three comprehensive design projects, you’ll understand the role of each component and how they connect, and be able to explain how the CPU operates according to instructions. No prior programming or hardware knowledge is required.

This is a linear algebra course that explores the meaning of vectors and matrices through illustrations and works through calculations using small examples. It covers the mathematics used in linear regression, PCA, SVD, tensors, and attention step by step. No programming knowledge is required.

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.

Learn everything from basic JavaScript syntax to execution contexts, closures, object-oriented programming, and asynchronous programming. Write code yourself and use the debugger and visual aids to follow how it runs and understand how it works.