1. Whether you are concerned with software or engineering (project management), software engineering is a practical subject. For practical subjects, of course, it is the first priority to go deep into reality. Just like many undergraduates studying business management, diaosi is a dying major without a father to give you a business to play with. According to Bian Xiao, the same is true of software engineering. Enterprises are so practical and realistic that they will kick out any unreliable theorists.

The reality is that the knowledge of software engineering in school is completely different from that in the engineering field. If your postgraduate school is better, you may not pay so much attention to the waterfall model, and you may even talk about agile fur. But those professors who live in the temple don't know the real problems faced by an R&D team. Instead, we can only make some inferences based on the experience summed up by people in past work practice.

Innovations in the field of modern software engineering all come from the field of front-line engineering. Moreover, in recent years, many psychological factors have been integrated into it, recognizing people's limitations and using methods to make people work as comfortably and efficiently as possible. How do universities consider the human factors behind these ideas? The management experience that can be written in books and got on the table is all about how to achieve goals, regardless of human limitations.

2. About the postgraduate entrance examination. The related disciplines in the field of pan-information technology are developing very fast, and the school can't keep up with the pace of development. Moreover, two or three years of studying for a master's degree itself will make the knowledge you learned early fall behind. Coupled with the unhurried pace of the school, after reading the book, you will find more students working in the back.

Moreover, in my opinion, there is no essential difference between reading a master's degree in pan-information technology and reading Beida Jade Bird. Most of them have proved that their self-study ability after graduation is not good, and they choose to spend money for others to teach when the pressure of finding a job is too great. How can we know the learning efficiency in the real environment without looking at the actual working environment?

I interviewed several people some time ago and passed the resume screening and interview, which is considered to be the best. One of them is a 2 1 1 undergraduate, a master of Chinese Academy of Sciences, and the direction of GPU high-performance computing. Work for 3 years after graduation. Look at all kinds of items on your resume that can only be written as "a certain department". Geophysics and turbulence analysis and calculation are accelerated and very high. The interview process also proved that he is really an expert in this field. But when it comes to GPU acceleration I learned during my master's degree, I can only pity him for wasting so much time. What I learned during my master's degree is just the amount that a person who has worked can learn by himself in two or three months. This matter has nothing to do with people, but the school environment is divorced from reality and there is no project pressure.