Need to learn. This course is a compulsory course for undergraduates majoring in computer science and technology in colleges and universities. Probability theory and mathematical statistics are subjects that study the objective laws of a large number of random phenomena. Probability theory is the deduction of studying the statistical laws of random phenomena, while mathematical statistics is the induction of studying the statistical laws of random phenomena. There are obvious differences between the two methods.

However, as a discipline, they are interpenetrating and interrelated. Through the study of this course, students can master the basic ideas and methods of dealing with random phenomena and cultivate their ability to deal with practical problems by using probability statistics.

Main contents:

1, knowledge of probability theory: classical probability, numerical characteristics and distribution of random variables, law of large numbers and central limit theorem.

2. Statistical knowledge: sampling distribution, parameter estimation, hypothesis testing, variance analysis and regression analysis.

Students in this major mainly study the basic theory and knowledge of computer science and technology, receive basic training in computer research and application, and have the basic ability to research and develop computer systems.

Main links: including electronic technology practice, hardware component design and debugging, computer basic training, course design, computer engineering practice, production practice and graduation project (thesis).

Refer to the above? Baidu encyclopedia-computer science and technology department