Graduation project software engineering, artificial intelligence .

Human-computer game. It's as hard as it gets.

Mathematics is the foundation, and abstract modeling, model algorithm analysis and design, etc. in AI majors need to be designed to be used with mathematical tools, and a solid foundation is required for algorithm analysis, program design, and computing systems in various problems of task realization.

Second, because the AI major is an interdisciplinary major, when solving realistic artificial intelligence application tasks, it often involves the professional knowledge of multiple disciplines at the same time, and it must be effectively integrated. As a result, AI is solving complex tasks full of uncertainties.

In a word, you need to be solid in mathematics and good at handling complex tasks.

It's right to choose the major of artificial intelligence, come here to take a look.

Artificial intelligence and the three majors closest to university majors: intelligent science and technology, computer science and technology, and software engineering; Top 13 Best Universities:

1. Peking University.

2. Xidian University.

3. Central South University.

4. Sun Yat-sen University.

5. Hunan University.

6. Nankai University.

7. University of Science and Technology Beijing.

8. Beijing University of Posts and Telecommunications.

9. Hebei University of Technology.

10. South China University of Technology.

11. Wuhan Institute of Technology.

12. Nanjing University of Science and Technology.

13. Qingdao University.

In fact, this is the direction of communication.

You can take a look at it.

Software Engineering. It is broadly divided into software design, programming languages, and software testing. What requirements analysis, structural design, development process, life cycle, etc. are all within this scope.

The basic disciplines of computer science such as operating systems, data structures and algorithms are all included. This direction is almost the largest direction within CS, and there are many admission places and some scholarships. However, due to the huge market demand, employment is not a problem.

To put it bluntly, this major is to train coders, and of course coders can be architects when they are long.

Artificial intelligence is actually a very comprehensive discipline, which covers many small directions of computer science. For example, machine learning systems, computer language, image processing, speech recognition, robots, human-computer interaction, robots, etc. Applicants are required to have a high background in computer science, including data structures, algorithms, etc., which require a certain learning foundation.

However, this direction has been very hot recently, and there are more places to enroll, and there is also a tendency to shift from mainly recruiting PhDs to masters. It should be the nature of R&D, and it is difficult to find a job that is completely appropriate, but there are jobs that can be involved in studying this kind of profession at various electronic equipment manufacturers.

It's all under computer science, and they're basically programmers, it's not too much. Look at the project.

To be honest, I don't really know.

Computer and software engineering has nothing to do with artificial intelligence, and university courses don't do it.

Automation, measurement and control, and electronic information engineering are involved, but they are not very deep, and in-depth research should be the direction of graduate students.

Master's and Ph.D. in Artificial Intelligence have specializations in this area. In China, Harbin Institute of Technology, Tsinghua University, and Peking University all conduct research in this area. Of course, if you learn artificial intelligence abroad, especially Japan, the technology is more advanced.

His undergraduate degree is still in the computer, after all, the control system must be made by him. There are also several disciplines such as software design, mechanics, and sensors that are also necessary.

The prospect is very good, China is upgrading its industry, and industrial robots and artificial intelligence will be strong hot spots, and it will be exactly 3 5 years later. The difficulty, it must be high, you need to have innovative thinking ability, calculus, number sequence, etc. in high mathematics must be very good, software programming (the most widely used basic language: C C++) must be very good, microelectronics (digital circuits, low-frequency and high-frequency analog circuits, and most importantly, embedded programming ability) must be learned very well, and there must be a certain mechanical design ability (spatial thinking ability is very important).

In this way, you are a talent, and you are a talent in the field of artificial intelligence that China urgently needs in the next five years. If you delve deeper, you will be an expert or even a master in the field.

But!!! If you don't have these preferences and specialties or haven't been able to learn these subjects well, it's too late to make other choices.

Artificial Intelligence Major.

In the early stage, you need to learn: UI interface design,jQuery application programming, front-end development....In the middle stage, you will learn Python core programming, My SQL data development, and Flask web framework.

Later stage to learn: machine learning, introduction to artificial intelligence, image recognition, natural language processing.

Artificial intelligence is rapidly penetrating into all walks of life, and we are also moving from digital survival to intelligent survival. With the data gathered from smart terminals, the computing power of new infrastructure, and the continuous learning and improvement of algorithms, we can perceive and recognize our world more accurately, so as to make more intelligent judgments and decisions, artificial intelligence helps us live more conveniently and quickly, make our work more accurate and efficient, make our society more harmonious and orderly, and make our medical care more safe and meticulous.

IT is no longer just information technology, but a powerful way to empower enterprises and industries and help them achieve intelligent transformation. From smart devices to powerful infrastructure to smart cloud computing, we need to seize the opportunities presented by AI, not only for our own transformation, but also to provide the best services to consumers, businesses and industries.

Xiao Su's vlog: Peking University's experience sharing: What is the very hot artificial intelligence major studying? What preparation do you need to do in secondary school and university to study this major?

If you want to learn artificial intelligence well, you must first learn mathematics very well, otherwise you can't do anything famous, calculus, probability theory and mathematical statistics, linear algebra, complex variants, functionals, discrete mathematics, group theory, abstract algebra, etc., because it also involves computer mathematics, such as topology 111111111 and then nonlinear theory, you must be familiar with matlab I have to learn a lot of artificial intelligence algorithms, such as neural networks, simulated annealing, ant colonies, and others, so I don't know much about them, so ask them if you have any questions.

Chinese artificial intelligence has rushed into our lives with a thunderous force. In addition to intelligent robots, there are also smart homes, driverless cars, and "face-brushing" payment ......The explosive development of artificial intelligence is inseparable from the support of national policies.

Virtual fitting room.

Service robots.

Facial recognition payments.

Smart home. In July 2017, the "New Generation of Artificial Intelligence Development Plan" was issued, and relevant ministries and commissions began to step up the implementation of the plan; In October 2017, the 19th National Congress of the Communist Party of China officially included artificial intelligence in the report, providing a long-term guarantee for the development of the domestic AI industry at the policy level. In November 2017, at the kick-off meeting of the "New Generation Artificial Intelligence Development Plan", the first batch of four national innovation platforms were established; In December 2017, the Ministry of Industry and Information Technology issued the "Three-Year Action Plan for Promoting the Development of the New Generation of Artificial Intelligence Industry (2018-2020)", which is equivalent to the issuance of the "Action Book".

More than 100 billion yuan market to be tapped.

In 2017, the size of the artificial intelligence market reached 100 million yuan, which is far from the goal of completing more than 150 billion yuan in 2020 proposed in the "New Generation Artificial Intelligence Development Plan", and the industry has huge potential. (Data** on CCID.com).

There is a talent gap of more than 5 million.

According to the statistics of the "Global Artificial Intelligence Industry Distribution" report released by Goldman Sachs, China accounted for 51% of the world's emerging artificial intelligence projects in 2017. However, China's global AI talent pool is only about 5%. There is a talent gap of more than 5 million people in artificial intelligence in China.

A wide range of employment.

After learning artificial intelligence, you can engage in artificial intelligence development engineers, algorithm engineers, crawler engineers, data mining and analysis engineers, machine learning engineers, web front and back end development and other professions.

The prospects are very good, and there is a huge demand in our country in this regard. There is a large part of the vacancy in the talent market.

The difficulty is still on the hard side1 But the prospect of employment is by no means small.

Xiaoai classmates,Xiaodu Xiaodu,Tmall elf and so on have good prospects,Excellent employment education is good。

Artificial intelligence is based on computer technology, relying on algorithms and imitating the structure of human brain neurons, under the statistics of big data, using high-level computer language Python and other x86 or Linux architecture systems to write deep learning, relying on graphics massive AI GPU groups and CPU and other architecture high-precision sensors on the architecture of intelligent electronic artificial intelligence similar to human brain thinking.

With the increasing popularity of the Internet, talents in computer-related industries are becoming more and more scarce, and the number of jobs is increasing year by year, and the supply of talents exceeds the demand. Therefore, it is a good choice to engage in Internet-related industries. As for the major I want to study, depending on my hobbies and my own quality, construction art design, e-commerce, new **ui design, film and television post-production, etc. are all majors that have developed rapidly in the past two years, and the employment prospects are good.

Before learning artificial intelligence, first understand the purpose of learning artificial intelligence, is it out of love, or do you think the industry has a future in the future? For artificial intelligence, computer science is more focused on the setting of theoretical research frameworks, while automation is more focused on specific applications and executions.

You can come here to see that you can enter IT technology from the beginning of junior high school.

Do I want to engage in engineering assignments, is it a graduate school entrance examination or a job? I advise you to still take the postgraduate entrance examination, and now it is difficult to find employment if you are not admitted to graduate school.

I want to be a construction engineering major in the early stage, whether it is a graduate school entrance examination or a job, but I don't understand what it means.

I think it's okay to get a job directly, and there's no need to go to graduate school.

I want to be a software engineering major and want to be in the front-end, whether to go to graduate school or get employed. (Front-end, back-end, and artificial intelligence directions have all been studied, but I am more interested in the front-end.)

It's pretty good, just work hard.

I don't know much about artificial intelligence, but the use of mathematics is relatively narrow, mainly focusing on discrete mathematics and probability theory (machine learning, data mining).

The least mathematical aspect of software direction is software engineering, which is to do software management, requirements analysis and so on.

The most used should be symbolic numerical calculations and more ** (graphics, signal processing, etc.), high numbers, discrete, probability theory and everything is used, and complex and functional functions are also added to add confusion.

Natural language understanding, compiling software and operating systems, and application development for different technologies should be relatively high, including natural language understanding, compiling software and operating systems, and application development (depending on the technology, you may need to learn multiple languages and tools).

If you are not looking for a job in a professional research institute or project, it doesn't matter what direction you choose, if you can go deeper, it will have a future, if it is average (for example, you want to graduate with a master's degree and find a job), of course, it will be easier to find a job if you can make something during your studies.

The software engineering direction is relatively low in mathematics, and the artificial intelligence direction needs to learn discrete mathematics.

If you are interested in programming and data structures, you should still learn mathematics well, because computers are used to solve practical problems, and mathematics is an objective abstraction.

If you are interested in programming, data structures, etc., you can develop software development and applications.

Artificial intelligence should be more mathematically demanding.

Of course, you can, artificial intelligence requires a high ability of algorithms, which is more brain-consuming.

Artificial intelligence is a big category, and there are many small directions in it, such as natural language processing, and I also did drip robot programming for a while in my sophomore year. Pattern recognition should be fuzzy mathematics, discrete mathematics, and automatic control of that piece of drops.

Postgraduate Admission Advice: The basic courses should be solid, mathematics is not good, you have the basic ability to solve problems, if you have energy, it is recommended to participate in mathematical modeling competitions, of course, it is quite hard. If you don't learn English well, you have the basic ability to read and write literature, especially computer literature, many of which are in English, and it is difficult to take the postgraduate entrance examination in English.

The four major professional courses are too important, especially the data structure, the postgraduate entrance examination and interview have to be examined, in fact, I think that no matter what direction the graduate students do, the basic difference between the undergraduate students is not big, and the basic skills are solid. In my impression, there are Harbin Institute of Technology, Tsinghua University, National Defense Science and Technology, Zhejiang University, Beihang University, Jilin University, Northeastern University, Huake, Xi'an University of Technology, Shanghai Jiaotong University, Xi'an Jiaotong University, University of Electronic Science and Technology...