Educational Objectives:

The educational objectives of the department are:

• To equip students with professional knowledge in mathematics, providing them with the foundation for future research, application, and learning in various disciplines;
• To train professionals in basic mathematics education;
• To provide students with basic training to enter the workforce.

Through mathematical learning and statistical training, the department aims to develop students’ expertise in mathematics or statistics, foster independent and logical thinking abilities, and equip them with the core competency to use computer tools to solve professional problems in mathematics or statistics.

Vision and Strategy:

1. Research

   The faculty of the department actively participates in academic research, consistently achieving a high number of projects with excellent results, and receiving numerous internal and external awards. However, due to the current faculty structure, the research fields are somewhat scattered. In the future, the department will build consensus to focus on establishing specialized research areas when recruiting new faculty, allowing for better integration of resources and increased team research productivity. Additionally, the department will encourage faculty to participate in integrated projects, expanding collaborative research efforts from within the university to external institutions, thereby promoting cross-university research collaborations.

2. Teaching

   The use of computers to solve problems has become a mainstream trend in the 21st century. To keep up with this trend, our courses emphasize the development of students’ computer and information technology skills. In addition to continually strengthening students’ professional knowledge, we have also introduced various elective courses in applied mathematics and data science to provide students with optimal preparation for both employment and further studies.

   Biostatistics, industrial statistics, and data science play significant roles in research and development in modern medicine, pharmaceuticals, industrial production, and social sciences. Therefore, we have enhanced training in relevant statistical courses to help students become skilled in data collection and analysis.

   Additionally, we aim to design more dynamic courses and invest more in learning support resources to boost students’ interest and improve learning outcomes. We are also planning to offer more internship courses in collaboration with industries and establish cross-disciplinary credit programs to reduce the gap between academic knowledge and practical application, ultimately increasing students’ competitiveness. We hope to cultivate professionals in mathematical and statistical sciences who excel in both theoretical knowledge and practical application.

3. Student Guidance

   The department will continue to hold an annual “Freshman Forum” for first-year undergraduate students, strengthening communication with parents. Moreover, we will enhance support for disadvantaged students, transfer students, international students, and honors program students, focusing on both their academic and daily life needs. For senior students approaching graduation, we will organize various career and graduate school counseling activities, inviting alumni to return to share their experiences in further education and career development, and provide information on employment opportunities. As for master’s and doctoral students, we encourage them to actively participate in academic conferences and to consider taking education courses, offering undergraduate courses for teaching practice. This aims to foster mutual growth in teaching and learning, and to train outstanding researchers or educators.