The Guide to Undergraduate Program in Mathematics and Applied Mathematics consists of three parts, including general education courses, core specialization courses and self-improvement courses.
This program aims to nurture students to have both moral integrity and professional competence, and to demonstrate strong social commitment and consciousness of mission. Through strict training in basic courses, in-depth study of specialization courses and further development in scientific research, the students are expected to:
1. Possess solid mathematical foundation, extensive knowledge in natural sciences, strong sense of innovation, satisfactory comprehensive quality, and have the potential to pursue advanced studies and become academic leaders in modern mathematics and related disciplines;
2. Possess solid mathematical foundation, the ability to undertake cross-disciplinary study and research, strong sense of innovation, and comprehensive qualities necessary to serve the society, so as to meet the demands of different occupations for mathematical talents.
1. To familiarize the characteristics of mathematical discipline development, acquire core thoughts and skills of college mathematics, have a profound understanding of strict mathematical proofs, form the habit of logical reasoning, develop analytical skills and rich experience in problem solving, and have the ability to complete well-organized and logical mathematical arguments;
2. To understand and appreciate the charm of abstraction and generality in mathematics, and develop the ability to do abstract thinking about concrete issues, to raise appropriate mathematical questions and then properly analyze them applying qualitative or quantitative measures;
3. To have a deeper understanding of at least one area among basic mathematics, applied mathematics, probability and statistics, computational mathematics, operations research and cybernetics, mastering its basic specialization knowledge and understanding its current developments;
4. To develop comprehensive abilities for self-study, literature review, paper writing, academic presentation and so on;
5. To acquire indispensable knowledge of computer, software and algorithm required for quantitative analysis;
6. To possess the ability for effective communication, be good at sharing academic ideas with professionals from different areas, grow satisfactory awareness of teamwork and cooperation, and be able to play an active role in a team.