Many universities have set up data science, intelligent science and robotics, or upgraded according to the original majors such as automation, communication and machinery. How to choose undergraduate majors?
1, giving priority to computer fields, such as computer science and software engineering. From the current situation, computer science (hereinafter referred to as CS) is the most suitable direction for AI. For example, AI applications such as machines. Learning, computer vision, natural language processing, data mining, etc. There are both senior undergraduates and graduate students in CS.
The work in the AI field requires employees to have a very solid and extensive mathematical foundation and high practical skills. CS focuses on these two aspects of training. If you want to specialize in the field of artificial intelligence, CS is a good choice for undergraduates. Every field needs artificial intelligence talents, and also needs talents from other fields to understand how to cooperate with artificial intelligence. These two high-end talents will come from CS major in large numbers.
2. If you are interested in theoretical and academic research, it is recommended to choose applied mathematics. Machine learning is essentially the application of differential equations, probability theory, matrix analysis and other mathematical fields. Therefore, practitioners in the direction of artificial intelligence need a solid mathematical foundation. Differential equations, linear algebra, mathematical statistics and information theory are the foundations of artificial intelligence and machine learning. In addition to these basic subject knowledge, you can also understand the knowledge of traditional machine learning, exercise your programming ability and complete the undergraduate application.
3. Major in intelligence science and technology. The major of intelligence science and technology is basically between computer science and electrical major of electronic engineering. The learning content of undergraduate course is relatively basic, and the real research on intelligence is in the postgraduate stage. However, the undergraduate course has a good foundation in mathematics, English, programming ability, simple intelligent algorithm simulation and application, which is helpful for future study and development.
Now automation, communication, machinery and other majors are close to intelligence to a certain extent, and any major can learn relevant knowledge after class.