1, mathematics and applied mathematics major: it is a discipline major, and mathematics develops in two directions. On the one hand, it is pure mathematics. On the other hand, applied mathematics has developed rapidly.
In modern times, mathematics is not only a tool to solve problems, but also an important part of the culture of the times. Some mathematical concepts and languages have penetrated into daily life, and some mathematical principles have become necessary knowledge for people.
The students trained in this major have a good mathematical foundation, can skillfully use computers, and initially have the ability to engage in scientific research, solve practical problems and design and develop related software in a certain direction in the field of information and computing science.
2. The major of information and computing science focuses on scientific computing, software development and design, information processing and coding, while the major of data computing and application focuses on data mining and analysis of massive data based on statistical theories and methods.
3. Basic Science of Mathematics and Physics: Students in this major mainly study the basic knowledge and theory of mathematics and physics, cultivate students' highly abstract mathematical thinking ability, and have the image thinking and experimental skills of modern physics. If you want to major in the basic science of mathematics and physics, you must lay a solid foundation in mathematics and physics.
4. Data calculation and application major: it is a new major approved by Shanghai University of Engineering Science on 20 18 by the Ministry of Education. Specialty orientation is an applied science major with big data as the research object and based on the industrial development of mathematics, statistics, information science and data industry, and it cultivates compound applied science professionals who master the ideas and methods of modern mathematics and statistics, and have a profound scientific foundation and strong engineering application ability.
Science mathematics needs to master the following methods.
Data cleaning, data conversion, data aggregation, data classification, data association, data visualization, data analysis, data mining, etc. These data processing methods are very important in science and mathematics, which can help people better understand and analyze data and make more accurate decisions.