Computer culture foundation; Principles of computer composition; Computer application technology; Introduction to data structure; Database and its application; Microcomputer and interface technology; Computer network technology; High level language programming; Programming; Assembly language programming.

1, principle of computer composition

The course "Principles of Computer Organization" explains to us how computers work. Whether you are writing programs, doing software or doing scientific research and publishing papers, your whole way forward is ambiguous without knowing the details. Without the underlying analysis, it is impossible to accurately locate the problem, and naturally, it is impossible to write simple and efficient excellent codes that conform to the real computing logic.

2. Computer operating system

Operating system is a part between software and hardware. It is the core control of computer, the command and management center of computer system and the soul of computer system. No matter what programming language you learn, you can't avoid dealing with the operating system. For example, if you learn Java and use multithreading technology, the operating system is actually responsible for managing processes and threads.

For example, after learning the knowledge of memory allocation, you can directly allocate a section of memory in C++. At this time, you actually call the API provided by the operating system for memory allocation.

If you don't know the operating system, you will be at a loss to learn advanced special effects of programming languages, involving thread scheduling, memory allocation, or learning related knowledge of Linux. Therefore, only by learning the operating system well can we learn other programming languages and technologies better.

3. Data structure

The learning of data structure and algorithm is divided into three steps. First of all, you can get a general idea of what an algorithm is, and you can get started with some popular science books. This process is called the entry stage. Then we can try to implement some simpler data structures and algorithms, so that we can have a deeper understanding of the data structures and algorithms. This process is called the practical stage, and finally we can understand the relevant mathematical principles behind the data structure and algorithm. This process is called the principle stage.