代数几何与人工智能区块链的关系,代数几何与代数数论

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A. What are the prospects of artificial intelligence?

The employment prospects of artificial intelligence are still very good. The development of artificial intelligence is in the growth stage. The country has issued relevant policies to promote the development of artificial intelligence. Development, some provinces also attach great importance to the development of artificial intelligence and have put forward corresponding plans.

China’s artificial intelligence is developing rapidly, and the Chinese government also attaches great importance to the development of the field of artificial intelligence. It is expected that by 2020, the scale of China's artificial intelligence industry will exceed 150 billion yuan, driving the scale of related industries to exceed 1 trillion yuan. In 2017, China accounted for 51% of the global emerging artificial intelligence projects, surpassing the United States in number. However, China only has about 5% of the global AI talent pool, and the AI ​​talent gap exceeds 5 million.
There are more than 360 universities in the world with artificial intelligence research direction, of which the United States has nearly 170 and China only has more than 30. Although some Chinese universities have opened relevant courses, they generally lack basic teaching capabilities in artificial intelligence, and universities are deficient in cultivating application-oriented talents with practical abilities on their own.
In the past year, the demand for artificial intelligence talents has increased nearly three times, and the current salary range of 40% of talents with AI skills is mainly concentrated in 10,001 yuan to 15,000 yuan per month, which is much higher than the national average.
It can be judged from the above information that the development cycle of artificial intelligence is still very long. At present, many universities cultivate the core content of artificial intelligence at the graduate level, and the undergraduate level is used to test whether students have the potential and ability to learn. At the same time, the artificial intelligence major has excessive requirements for teaching equipment and teaching teachers, and talents with unique cognition and abilities in the artificial intelligence industry are basically in large enterprises and not in schools. This is something that our candidates and parents must consider clearly.

B. Is there really no future for mathematics majors

Overall, the overall pressure of studying mathematics is relatively high. In some majors, you can graduate by just messing around, but in the mathematics department, there are almost no professional courses, and each course is enough for a whole semester. If students want to change majors or take postgraduate entrance examinations across fields in the future, they need to learn more. Not only do they need to complete all courses in the Department of Mathematics, but they also need to study courses in other majors to complete the task of changing majors. Generally speaking,

Courses in the Department of Mathematics:

Mathematical analysis, advanced algebra, analytic geometry, C++, discrete mathematics, ordinary differential equations, partial differential equations, abstract algebra, complex variables Functions, real variable functions, functional analysis, numerical calculations, numerical solutions to partial differential equations, topology, differential geometry, probability theory and mathematical statistics, stochastic processes, etc.

Computer science department courses:

Calculus, linear algebra, discrete mathematics, data structures and algorithms, digital circuits, computer composition principles, operating systems, compilation principles, computer networks, databases Principles, software engineering, assembly language, etc.

There are so many students from the Department of MathematicsJudging from the outlet situation, most of them need to change careers, whether it is after graduating from a bachelor's degree, a master's degree, or even a doctorate. Because most students do not have the ability or the opportunity to stay in the mathematics field and find a teaching position. As for how many courses taught in the mathematics department can be used after work, it all depends on what kind of job and position you are engaged in. Most jobs should still not require too difficult mathematics. Basically, undergraduate courses in mathematics are enough. Of course, machine learning or quant will still use some mathematical knowledge in specific fields.

Under normal circumstances, mathematics departments usually only have three years of mathematics courses. The fourth-year courses are not too many and not too difficult. Most students still need to consider employment or postgraduate entrance examinations, so they invest in There won’t be much time for studying mathematics courses, except for those students who are recommended for postgraduate studies. As for extracurricular activities, it all depends on the individual. Some people may do what they want to do after class and homework, while others will spend their time on math courses. Whether there are extracurricular activities depends entirely on your personal schedule. There are always a variety of extracurricular activities worth participating in. Participating in various activities is also to enrich one's resume and facilitate future employment choices.

Generally speaking, there are several ways for further study in the Department of Mathematics:

Department of Computer Mathematics, Business School

Generally speaking, when graduating from an undergraduate or a master’s degree, most people basically I want to change my career to do something else. Firstly, I find that I may not be suitable for studying mathematics. Secondly, I may find that other industries are actually quite good and I don’t necessarily need to stay in the mathematics department. When it comes to employment, students in the general mathematics department can choose to work in finance, computers, education and training, civil servants and other industries. In Internet companies, some mathematics students are generally recruited to do data analysis or machine learning related work. In fact, there are still many opportunities for students in the Department of Mathematics. They are not as narrow as imagined, but there are many directions and fields that need further discovery and exploration. If you have decided from the beginning that you will definitely change careers in the future, then there is actually no need to go to the mathematics department. You can choose other engineering or business fields to study.

C. Which professors’ classes at Tongji University are necessary to take?

During the few years of studying at Jiaotong College, I have experienced the grace of many teachers, so I have to talk about our college first. Some of the teachers took the course. The first is Professor Yang Xiaoguang of Intelligent Transportation. Professor Yang Xiaoguang, "was admitted to the Department of Road and Bridge Engineering of Tongji University in September 1978 when the college entrance examination was resumed in my country. He graduated with a bachelor's degree in July 1982 and stayed at the school as a teaching assistant in the Traffic Engineering Research Laboratory of Tongji University. Later, he studied for a master's degree in traffic engineering at Tongji University on the job. and a doctorate degree. In 1994, he was selected and sent by the Ministry of Education to receive a scholarship from the Japanese Ministry of Education, Culture, Sports, Science and Technology to study in the Transportation Engineering Department of Kyoto University in Japan to continue his doctoral studies. In September 1996, he returned to China to continue teaching."

The front is his resume, so let’s talk about his specific feelings. After listening to Yang XiaoProfessor Guang’s class will give people a clear understanding of the entire intelligent transportation system and a deeper understanding of how to think, refine and solve the entire scientific problem. In short, Professor Yang’s class will give you a macro perspective. Understand the problem from a high level and will not be limited to minutiae.