Computer Science (CS Knowledge) Bootcamp for Beginners | Computer Architecture, Operating Systems, Networks

On top of changing technology
The unchanging fundamentals

CS is the 'basic' that does not change over time. Even if the framework changes, the computer structure, memory management, and network flow are still valid. Ultimately, the sustainability of development skills lies here.

The Roots of Programming
5 subjects is enough

In order to properly build a development/data career, you need to organize the core theories of computer engineering. There are many computer engineering subjects that you learn in college, but the following five subjects are considered the core. And it would be good to add software engineering to strengthen your practical skills.

This course covers the three core subjects among the five subjects: computer architecture, operating systems, networks, and data structures and algorithms . The three subjects are the minimum core knowledge commonly used in development and data fields, and without these basics, you will continue to have difficulties solving practical tasks such as system performance tuning, failure analysis, and design.

Computer Science (CS Knowledge) Roadmap for Jjanjaemi Coding

Roadmap Part 1.

The basics of CS knowledge
Computer architecture, operating systems, networks

Computer architecture, operating systems, and networks are subjects that should not be studied separately . Since the previous concepts help in understanding the next concepts, you should study them sequentially according to the established flow to achieve a deep understanding.

This lecture is designed to accurately organize the core theories according to the flow, and to expand them to practical use through system software in the subsequent Part 2 lectures .

[Step 1: Computer Architecture]

Computer architecture is so rigid, and some theories are out of touch with the present, so you can get tired right away. So, this lecture organizes the core of the CODE book, which has been a steady seller in the IT field for 20 years, and covers the principles of computers in a fun way. In addition, it organizes concepts that developers/data experts must know.

[Step 2: Operating System]

Operating systems are a field that I have studied very deeply as a personal preference. I have also published a related book, which is now out of print. Based on my deep understanding, I have organized the concepts that developers/data experts need to know, not just a simple summary of each concept, but also a clear understanding of how all the detailed concepts are connected to each other.

[Step 3: Network]

The network subject clearly explains the essential information that developers/data experts need to know, excluding unnecessary information such as coaxial cable sizes. It shows the actual transmitted and received data at a low level and explains the meaning of each data. This way, you can get a clear sense of the network.

Attractive points of this lecture

1⃣ A faithful curriculum that is comparable to major textbooks

Most CS lectures are mainly English PPTs, take more than 6 months, or are conducted in a quiz-like manner with interview questions, assuming that you already know the core concepts. Even in videos of offline lectures, even the breaks are not edited out, making it difficult to concentrate.

But this course is different. It is optimized for online learning with short, focused sessions of 10 to 20 minutes, with intuitive materials to convey each concept most effectively. Complex theories are summarized simply and concisely, without unnecessary content. You don't need to look for additional lectures or books anymore. With this one course, you can quickly and neatly summarize the core concepts of computer science.

2⃣ The magic of clearly organizing complex concepts

We have organized the course so that you can understand the flow of the theory at a glance and remember it for a long time with refined core materials and easy-to-understand explanations. Through this course, you will experience complex concepts being drawn in your head in an instant.

3⃣ A lecture that can give you confidence

If you understand this lecture as your own, you no longer need to shrink as a developer who lacks something. Do you feel like you have learned how to use programming languages and APIs, but something is lacking? Do you feel like you are lacking compared to others, but are anxious about what else you should learn? It is because you are not solidly equipped with the theoretical part.

Through this lecture, you will gain a basic understanding of the theoretical part. You will be able to understand core CS knowledge as much as a developer, or even more deeply than a general developer in some content. Then, you will become more confident. Also, from now on, no matter what technology you learn, you will be able to understand and utilize it more deeply, clearly, and even faster than others. Furthermore, when a problem arises, you will not have to worry about what to do, but will be able to infer internally which part may be the problem.

If you can organize just this much basic knowledge, you can feel confident.

Learning systematically
Dave Lee's Roadmap for Residual Fun Coding

Developer, Data Analyst, and Data Scientist Career Roadmap!

From web/app development to data analysis and AI, we provide an A to Z roadmap that allows you to build a solid foundation in a short period of time. IT technologies are closely linked to each other, so they must be integrated to enable web/app services or data science. By gradually increasing the difficulty and mastering core technologies, you can learn efficiently and understand the system and data in general, and grow into a competitive developer or data expert. To this end, we have prepared a roadmap that systematically organizes core technologies in each field.