For IT company employment: Conquer the coding test on your own (C/C++)

Coding tests require the right study method.

Coding tests are not information olympiads where you spend a long time solving each problem.

Because it is a test that requires you to solve problems quickly ,
1) Quickly identify the algorithm to use by looking at the problem.
2) You need to practice writing clean code according to a code skeleton (template) that you are familiar with.

Coding tests that are completed efficiently

• ✅ Explain the concepts of representative algorithms that are most frequently covered in coding tests,
• ✅ Solve basic problems for each algorithm with pictures,
• ✅ This is a course on programming by following efficient code writing methods (templates).

#1. You can understand and solve problems even if you don't know data structures.

The goal is to gain a basic understanding of data structures (queues, stacks, graphs, etc.) required for problem solving.
We do not implement data structures directly.

#2. Illustration-based explanations help you understand.

For easy understanding, the problems are explained using pictures and diagrams.

#3. Save time and money! We've designed it for value.

This course isn't an A-to-Z. It avoids overly basic or overly difficult questions and only covers representative problems for each algorithm. Afterwards, you can study using algorithm problem sites like Baekjoon and Jeongol, as well as Google.

#4. Intuitive variable declaration methods, and how to write cleanly structured code.

Because in a time-pressed exam, you can't just look at the code and rethink what variables mean.

#5. You can do it even if you don't know C++ well.

C++ covers only the very basics. If you already know C, you'll easily understand C++ in this course.

#6. C is definitely not a dead language!

It even includes a simple explanation of what you can do and what companies you can work for using the C language.

• This course will help you build a solid foundation for effective coding test preparation. It will explain key algorithms and data structures, along with solutions to common problems.
• This isn't a C-focused course. You can understand the course even if you don't know C. However, since the source code is written in C, basic experience with C (or at least one other language) is required. For more detailed information, please refer to the Q&A section.
• For chapters that have content or revisions that were not conveyed in the video, we have attached explanations, so please check them out.
• The source code is attached to the video of writing the source code.

Q. Do I have to be able to speak C?

No, you can understand most of the lectures even if you don't know the C language.
This lecture is largely divided into three stages: 1) algorithm explanation, 2) problem solving, and 3) source code writing. Stages 1 and 2 can be understood regardless of language.

Of course, since the source code is written in C/C++, the C language is recommended, but since the contents can be applied to other languages with different grammar, it may be helpful even if you use languages such as Java/Python.

However, it is difficult to say for sure how helpful this will be, as it depends on how proficient the student is in programming languages.

Q. People say that the C language is inconvenient because it has fewer user-friendly libraries and the number of source code lines is much longer. Can I solve the coding test in the C language?

Yes. For coding tests, it's best to choose the language you're most comfortable with. If you're most familiar with C, using it is the most advantageous. For the reasons mentioned above, there's no reason to avoid C. Let me share my thoughts.

First, coding tests don't use fancy libraries. Solving problems with primitive data types can be faster and easier. If you really need a library, the libraries provided by C++ are sufficient. The syntax isn't particularly difficult.

Second, while differences in LOS (Lines of Source Code) are unavoidable due to the nature of the language, the long line count isn't a reason to avoid C. In a code that's only 100-200 lines long, is it important to reduce a few lines? Fluently using a familiar language will help you solve problems faster, even if it means increasing the number of lines of code, rather than shortening it in an unfamiliar language.