LeetCode Essential Problem Solving for Passing Coding Tests

"Just like the real thing! Master job interviews, coding competitions, and your skills all at once." Perfect preparation for corporate coding tests! Improve your skills from basic to intermediate! This course contains only the essentials necessary for coding test preparation. Structured step-by-step from basic concepts to practical problems, you can improve your programming skills and practical sense at the same time.

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This course was created based on my personal experience passing the very first revised Information Processing Engineer practical exam, which had a pass rate of only 5.34%. The Information Processing Engineer practical exam can no longer be prepared for through simple memorization alone. In particular, the ability to read the execution flow of C, Java, Python, and SQL code to track results, as well as the ability to accurately distinguish short-answer concepts and write them as answers, has become crucial. This course is structured to help even beginners who are new to programming follow along step-by-step, covering everything from creating variable tables to tracking C, Java, Python, and SQL code, core practical terminology, and written exam subjects 1 through 5. Rather than being a video-centered course, this is a text-based course designed for fast reading and repeated review. It makes it easy to look up necessary parts again and focuses on practicing how to derive answers at the testing center by following the code and explanations directly. The 1st update covers the practical programming sections: C, Java, Python, and SQL. The 2nd update will organize core terms and concepts required for the short-answer practical questions and provide a "Stepper Simulator" to practice code tracking directly. The 3rd update will sequentially expand to cover written exam subjects 1 through 5. The Stepper Simulator is designed so that you don't just stop at reading explanations; you can understand how variable values change as the code executes line by line by following along yourself. If you have any questions while taking the course, please leave them in the Q&A. I will respond as quickly as possible to ensure your learning doesn't get stuck.

A mediocre developer portfolio won't get you hired! Revealing the portfolio secrets that actually landed jobs at major IT giants like Kakao, Samsung Electronics, and Naver!

I hope that through this course you will gain a clearer understanding of grammar and gain confidence in solving problems.

This is the easiest introductory course for those new to information security. You can get a feel for real-world tasks by experiencing the five core roles: planning, development, operations, assessment, and monitoring. Start building your own career roadmap for employment or a career transition.

Here are some key competencies that are often overlooked by others in the fiercely competitive and complex semiconductor process job market.

In this course, you can master prompt engineering techniques that can be applied immediately in practice using the OpenAI API. You will learn how to simultaneously improve efficiency and productivity in your daily life and work. In particular, we support you in gaining confidence for interviews by automating the creation of customized resumes and cover letters for your desired companies, as well as preparing for mock interviews.

Practical English Guide for Software Engineering | Great IT English

This course is for job seekers and career-changing backend developers preparing for coding tests with JAVA. We clearly identify question types by analyzing 195 actual past exam questions.

Let's perfectly prepare for the second coding test (implementation test) by solving 10 problems created with reference to front-end coding tests given by actual companies!

This is a hands-on career and college admission project course where high school students use the AI-SPARS system to analyze their academic records, mock exam scores, and student record activities to explore their desired majors and universities. Students will compare various admission types, such as early and regular admissions, and personally design grade-specific roadmaps and execution strategies to reach their target universities. It is a practical course where high school students utilize AI-SPARS to analyze their grades and student record information while exploring desired majors, universities, departments, and college admission tracks. Participants will directly install and use the AI-SPARS program to create their own college admission profile and complete a strategic admission plan and roadmap to reach their target universities.

I hope that through this course you will gain a clearer understanding of grammar and gain confidence in solving 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.

When you learn machine learning, you learn how to improve accuracy. But the moment you try to put that model onto an actual chip, questions no one has answered remain. How many multiplications does this model perform? How much does it need to remember, and for how long? Can the chip specifications you are targeting handle those requirements? Machine learning textbooks talk about accuracy, and semiconductor textbooks talk about circuits, but materials that bridge the gap between them are rare. I repeatedly encountered this gap while implementing RISC-V CPUs and NPUs on FPGAs. The model with the highest accuracy often turned out not to fit on the board. In this course, you will build six algorithms directly in Python, measuring the number of multiplications, comparisons, memory usage, and accuracy each time. Then you will convert those figures into the resources of an actual FPGA board. Saying that something requires a certain number of multiplications is not enough to gauge its size, but knowing that it uses a certain percentage of the board makes the decision clearer. After nine Labs, when the six models are brought together in a single table, an unexpected picture emerges. We spent nine lessons counting multiplications, but multiplications were not what held us back. After that, we reduce floating-point values to integers, manage bit widths, and even establish criteria for evaluating the circuit. You do not need an FPGA board. The course is conducted entirely in Python, and the board is used only as a reference for converting the measurements.

If you are worried about where to start and where to start studying because you need to take a SQL coding test to become a data analyst, then come to this seminar!

Daily repetitive tasks like organizing emails, writing reports, and summarizing data... Do humans really need to do these manually? Does ChatGPT feel like it's just for chatting, and does automation seem too difficult? But even without coding, you can build practical automations in just 1 hour. This is a practical course designed to help non-developers automate workflows and reduce repetitive daily tasks using n8n and AI. By following along, you will create automation workflows that can be applied at work immediately. We've cut out the fluff and included only what you truly need. You will experience a transformation in the way you work, starting today.

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

You can understand the theoretical operating principles of the Kalman Filter through easy examples.

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++.