Basic educational system: four years | Enrollment target: | Education: technical secondary school | Professional code: 070 102.
Training objectives
Training objectives
Training objectives: This major is a science major with the mathematical foundation of information technology, computing technology and operation control technology as the research object, aiming at cultivating senior professionals who have good mathematical foundation and mathematical thinking ability, master the basic theories, methods and skills of information or computational mathematics, have received preliminary training in scientific research, and can solve practical problems in information technology or scientific and engineering calculation. Graduates of this major can engage in research, teaching, application development and management in the fields of science and technology, education, information industry, economy and finance, or continue to study for master's and doctoral degrees.
Training requirements: Students in this major mainly study the basic theories and methods of mathematics and information science, receive basic training in mathematical modeling, calculation methods, programming and application software, have a good education in mathematics and information theory and its application, have a high scientific literacy and a strong sense of innovation, and have the basic ability of scientific research, teaching, solving practical problems in information technology or scientific engineering calculation and a strong ability to update knowledge.
Graduates should have the following knowledge and abilities:
1. Have a good mathematical foundation and master the basic theories and methods of information science, computational mathematics or operation control;
2. Have the basic skills of skillfully applying computers (including common languages, tool software and special software), and have strong calculation design, algorithm analysis and programming skills;
3. Be able to use the learned theories, methods and skills to solve some practical problems in information technology or scientific and engineering calculation or operation control;
4. Accept the preliminary training of scientific research, understand the new development of information science, computational mathematics or operation control theory, technology and application, and have strong knowledge updating, technology tracking and innovation ability.
Main subjects: mathematics, computer science and technology.
Core knowledge fields: geometry, analysis, algebra, differential equations, probability statistics, numerical calculation, information science, operation and control, computer software and applications.
Core courses: mathematical analysis, advanced algebra, analytic geometry, probability and statistics, physics, ordinary differential equations, complex variable function theory, programming and algorithm language, data structure and algorithm, numerical analysis, data analysis and mathematical modeling.
Example of core courses:
Example 1: Mathematical Analysis I-III (304 hours), Advanced Algebra I-II (192 hours), Spatial Analytic Geometry (96 hours), Ordinary Differential Equation (96 hours), Probability Statistics (96 hours), Real Variable Function (96 hours), General Physics (144 hours) Complex variable function (96 hours), mathematical model (64 hours), numerical analysis I (64 hours), numerical analysis II (64 hours), data structure and algorithm (64 hours), numerical solution of differential equation (64 hours), functional analysis (64 hours) and information theory foundation (64 hours).
Example 2: college physics (130 class hours), C language programming (46 class hours), microcomputer principle and system design (78 class hours), mathematical analysis (240 class hours), advanced algebra (1 36 class hours), spatial analytic geometry (46 class hours), complex variable function (46 class hours), and so on. Mathematical physics formula (46 hours), functional analysis (46 hours), numerical approximation (60 hours), numerical algebra (60 hours), numerical solution of differential equations (60 hours).
Example 3: college physics (96 hours), C language programming (64 hours), mathematical analysis (288 hours), advanced algebra (144 hours), analytic geometry (48 hours), complex variable function (64 hours), probability theory and mathematical statistics (64 hours), ordinary differential equations (56 hours)
Main practical teaching links: academic research activities, curriculum design and experiment, graduation practice and social investigation (internship), graduation thesis (design) and so on.
Main professional experiments: (parallel) program design and implementation.
Length of study: four years.
Degree awarded: Bachelor of Science. 0702 physics class
Professional ability requirements
Professional ability requirements
The main contents of professional teaching
The main contents of professional teaching
Advanced Algebra and Geometry, Complex Function Theory, Mathematical Analysis Practice, JAVA Object-Oriented Programming, C++ Programming Language, Data Modeling, Advanced Algebra and Spatial Analytic Geometry, Introduction to Data Structure and Algorithms, and Mathematical Analysis Methods. The following professional directions are cultivated: big data, cloud computing, mathematical finance, and information.
Major (skill) direction
Major (skill) direction
Educational enterprises: mathematics teachers, research and development of teaching products, and development of computer teaching; IT enterprises: data analysis, algorithm engineering and technical support analysis.
Example of vocational qualification certificate
Example of vocational qualification certificate
Examples of continuing learning majors
Employment direction
Employment direction
Employment prospects: Mainly engaged in research, teaching, computer teaching, application development and management in science and technology, education and economic sectors.
Corresponding occupation (post)
Corresponding occupation (post)
Other information:
Recently, some students are asking, is bioinformatics a liberal arts major or a science major? I sorted out the relevant information, hoping to help everyone! Is bioinformatics a science major? Bioinformatics is a science major in theory. However, because the situation of each major and school is different, some majors are also liberal arts, so it depends on the enrollment of the school you apply for. When students apply, it is best to refer to the enrollment plan announced by the school. The enrollment plan of each major in the school is clearly marked whether to recruit liberal arts students or science students. For the employment situation of bioinformatics specialty, please refer to Tianjin, Nanchang, Zhuhai and Nantong Information Technology College 24 10~6 170 yuan/month. Bioengineering/biopharmaceuticals in Hangzhou, Chengdu, Xiamen and Zhuhai: 2500~6400 yuan/month. University teachers Suzhou, Wuhan, Zhuhai, Nantong bioinformatics professional introduction, 2200~8700 yuan/month bioinformatics is an interdisciplinary subject based on biology, mathematics and informatics. It uses the methods and tools in mathematics and information science to obtain, process, store, analyze and interpret biological information, thus clarifying the biological significance contained in a large number of biological data. This major trains high-quality talents with basic knowledge of life science and medicine, basic theoretical knowledge and skills related to bioinformatics such as information science, computer science, mathematics and biotechnology, strong practical ability, strict scientific experiment training, and strong knowledge renewal and innovation ability. After graduation, you can engage in scientific research, technology development, service, management and education in bioinformatics and related fields.