Information and Computing Science Program

Aim
The information and computing science program of the Northwest Department of Mathematics is designed to help motivated students to develop a solid foundation of mathematics, and a good understanding of mathematical ideas and skills, especially in information and computing science, so that they can be engaged as senior professional personnel in high-tech fields, education, economy and enterprises, and can be qualified candidates for graduate programs in information and computing science and related disciplines. Specific objectives:Through studying the basic theory and methods of information and computing science, being trained in the mathematical research and applications, and scientific computing, and knowing the forefront of the theory and its applications, as well as being familiar with a foreign language and computer, graduates should meet the following requirement:
1. Students have solid foundation in mathematics, and master the basic theory and basic methods of information science and computing science. 
2. Student can synthetically use a foreign language, be skilled in using computers and some mathematical software, and have the basic algorithm analysis and design capabilities and strong programming skills.
3. Student can understand the basic knowledge of communications, graphics, image processing, and apply the theories, methods and skills to solve practical problems.
4. They will have knowledge of the recent development of theory, technology and applications of information science and computing science. 
5. They will have strong skills in language, gathering information and inquiries, document retrieval and application of the Internet to get information about the methods of scientific research and teaching ability. 
6. They will have knowledge of national policies and regulations of relevant science and technology, intellectual property and so on. 
Main courses:
Analysis, algebra, geometry, probability theory and mathematical statistics, mathematical models, computer introduction, the scientific basis of the information, numerical approximation, numerical algebra, differential equations, data structures, Theoretical Computer Science basis, logistics and optimization, computer graphics science, graphic communication, digital signal processing, visualization techniques, object-oriented programming, wavelet and signal processing, computer-aided design, database technology, etc. 
Main practice teaching courses:
Experimental mathematics, computer practice, professional practice, graduation practice and graduation design. Credit Requirements: Total credits 179 credits. In which: school through courses of 50 credits, core curriculum of 34 credits, the disciplines direction courses of 18 credits, general education courses of 12 credits, elective courses of 41 credits, practical teaching of 14 credits, extra-curricular additional credits of 10 credits.