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Undergraduate major in School of Mathematics and Computing Science, Xiangtan University
Information and Computational Science (formerly known as Computational Mathematics) is a major of information and computational science.

The major of information and computing science is based on the information field. Mathematics is an interdisciplinary specialty combining information and management. 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.

Specialty Direction and Features: Information and Computing Science is a science major, including information science and computing science. The first direction is to give priority to information science, supplemented by computational mathematics; The second direction is to give priority to mathematics, supplemented by information science.

This major is a first-class characteristic major of the Ministry of Education and an excellent provincial key major. It is a new science specialty formed by information science, computing science, logistics and control science. Cultivate high-level professionals with good comprehensive quality, solid foundation in mathematics and computer science, master the basic theories and methods of information science and computer science, have received preliminary training in scientific research and practical application, can solve practical problems by using the knowledge they have learned and skilled computer skills, have strong innovation ability and a wide range of knowledge, and are engaged in research, teaching, application development and management in scientific and technological education and economic departments.

Major disciplines

Mathematics, computer science and technology.

Main courses and featured courses

1, basic courses: mathematical analysis, advanced algebra, analytic geometry, complex variable function, probability statistics, computer culture foundation, C language, ordinary differential equations. 2. Main courses: numerical analysis, algorithm and data structure, discrete mathematics, functional analysis, database principle and technology, mathematical and physical equations, C and object-oriented programming, numerical solution of differential equations.

3. Characteristic courses: numerical analysis, C and object-oriented programming, numerical solution of differential equations. Mathematics and applied mathematics is a discipline to cultivate senior professionals who master the basic theories and methods of mathematical science, have the ability to use mathematical knowledge and solve practical problems by computers, have received preliminary training in scientific research, and can engage in research and teaching in science, technology, education and economy departments or engage in practical application, development, research and management in production, operation and management departments.

Training objectives

This major is a provincial-level key major, which cultivates the basic theories and methods of mathematics, has certain mathematical literacy, innovative consciousness and the ability to solve problems independently. After preliminary training in scientific research and applied research, it is familiar with the basic principles of computers and has the basic skills of computer application and development, and can engage in research, teaching, development and management in relevant departments such as science and technology, education, production and management.

main course

1, basic courses: mathematical analysis, advanced algebra, analytic geometry, computer culture foundation, ordinary differential equations, real variable functions, complex variable functions, probability statistics, C language, mathematical models.

2. Main courses: abstract algebra, topology, differential geometry, functional analysis and mathematical equations. Statistics is a comprehensive science that infers the nature of the measured object and even predicts the future of the object by searching, sorting and analyzing the data. It uses a lot of professional knowledge in mathematics and other disciplines, and its application scope covers almost all fields of social science and natural science.

Training objectives

This major combines mathematical knowledge with applied statistical science knowledge, grasps the basic knowledge and skills of mathematics, has good mathematical quality, innovative consciousness and self-study ability, grasps the basic theory, knowledge and skills of statistics, skillfully uses computer to analyze data, and can engage in the development, application and management of statistical investigation, statistical information management and data analysis in enterprises, institutions and economic management departments, or engage in research and teaching in scientific research and education departments.

main course

1, basic courses: mathematical analysis, advanced algebra, analytic geometry, microeconomics, computer culture foundation, real variable function, macroeconomics, complex variable function, ordinary differential equation, C language, database principle and technology.

2. Main courses: statistical principle, probability theory and mathematical statistics, regression analysis, sampling theory, multivariate statistical analysis, econometrics, statistical calculation and software.

3. Characteristic courses: real variable function, probability theory and mathematical statistics, regression analysis, multivariate statistical analysis, econometrics, statistical calculation and software, and C language.