School of Mathematics

The School of Mathematics was established in 2000, making it one of the first departments founded at Boda College. It was renamed from the Department of Mathematics to the School of Mathematics in 2019. Currently, the school offers two undergraduate programs: Mathematics and Applied Mathematics, and Data Science and Big Data Technology. It has a teaching staff of 40 full-time and part-time faculty members, including 12 professors, 13 associate professors, 17 with doctoral degrees, and 23 with master's degrees. In 2009, the teaching team for the Mathematics and Applied Mathematics program was rated as an Excellent Teaching Team in Jilin Province by the Provincial Department of Education. In 2011, the program was designated as a Provincial Characteristic Program during the "Twelfth Five-Year Plan" period by the Jilin Provincial Department of Education. In 2014, it was approved as a Brand Program Construction Site by the Provincial Department of Education.

The School of Mathematics adheres to the educational philosophy of "Student-Centeredness" and is guided by social and market demands. After 20 years of reform and development, the School has made significant progress in talent cultivation, scientific research, cultural inheritance, and social services, forming distinct program characteristics. In the past five years, 83 students from the School have been admitted to master's degree programs at universities such as Yunnan University, Liaoning Normal University, Changchun University of Technology, Jilin Normal University, Qinghai Normal University, and Shenyang Normal University.

Mathematics and Applied Mathematics (Teacher Education)

Educational Objectives: To cultivate mathematics teachers for primary and secondary schools who possess excellent character and moral integrity, a solid foundation in basic mathematics knowledge, outstanding teaching qualities, strong comprehensive abilities, a passion for the education sector, a spirit of scientific innovation, and the ability to solve practical problems.

Training Requirements: Students in this program primarily study the fundamental theories, basic knowledge, and essential methods of mathematics. They are required to be able to apply mathematical knowledge and computer technology to solve various practical mathematical problems, cultivating them into application-oriented talents who meet the needs of socio-economic development.

Core Courses: Mathematical Analysis, Advanced Algebra, Probability Theory and Mathematical Statistics, Ordinary Differential Equations, Complex Variable Functions, Real Variable Functions, Modern Algebra, Mathematics Teaching Theory, Mathematical Practical Software, Etc.

Career Directions: Mathematics teachers in primary and secondary schools, scientific research institutions, government agencies, as well as roles in mathematical computation, data analysis, management, and practical application development within enterprises.

Program Features:

1. Solid Foundation in Professional Theoretical Knowledge

Mathematics and applied mathematics majors serve local basic education, and build a teacher education talent training system based on "in-class training, teachers' comprehensive quality training as the main line and the whole process of teacher education as the support".

2. Outstanding Practical Teaching Ability

The talent cultivation plan for the Mathematics and Applied Mathematics program has been optimized, and the curriculum system has been integrated, combining mathematical theory with pedagogical theory. The curriculum design includes elements such as teaching practicum, practical training, graduation internship, professional skills training, and career planning guidance, simulating real teaching environments and applying educational theory in practice.

3.Comprehensive Abilities for High-Level Employment

Based on students' abilities and comprehensive qualities, students are categorized into different levels or tiers for tailored teaching, with different teaching plans developed. Through a streaming cultivation model, students are guided to choose the most suitable career development path according to their own characteristics. Professional courses requiring in-depth study are offered for students preparing for postgraduate entrance exams. Joint cultivation with frontline teaching units provides students with internship opportunities, helping them understand industry demands and employment trends.

Duration and Degree: Four years, awarded with Bachelor of Science degree.

Data Science and Big Data Technology

Educational Objectives: Cultivate compound talents who meet the needs of national and social development, develop morally, intellectually, physically and aesthetically, have good scientific literacy, innovative and entrepreneurial ability and team spirit, have the ability to use big data technology knowledge to solve specific industry application problems, and are competent for data analysis and mining algorithm research and big data technology system development.

Training Requirements:This program primarily focuses on the basic talent needs of the big data industry development. It adopts a combination of degree education and short-term training to cultivate application-oriented professionals and skilled talents for the big data-related industries.

Core Courses: Data Structures and Algorithms, Introduction to Big Data, Distributed File Systems, Distributed Computing Frameworks, Python Programming, Data Analysis and Data Mining, Distributed Databases, Data Warehousing, Big Data Visualization Technology, etc.

Career Directions: Enterprises or public institutions with management and decision-making needs in industries such as Internet, finance, insurance, etc.

Program Features:

1. Comprehensive Knowledge of Big Data Theory

The Data Science and Big Data Technology program integrates theories and methods from multiple disciplines such as statistics, mathematics, and computer science. This interdisciplinary integration provides students with a broader knowledge perspective and lays a solid theoretical foundation for cultivating practical abilities.

2. Strong Computer Practical Ability

An innovative talent cultivation model of "Big Data + X" is constructed, integrating industry-academia cooperation throughout the entire talent cultivation process. "Production, Learning, Research, Competition, Innovation" are organically incorporated into various stages of cultivation. Based on job market demands and students' own development needs, and building on students' mastery of big data skills and basic data analysis and mining skills, the program cultivates students' third skills such as database management, framework development, and web design, comprehensively fostering students' professional competence, professional attitude, and overall quality, providing broader development space for their employment.

3. Comprehensive Ability to Solve Problems in Various Industries

Under the teaching mode of industry-academia collaborative education, an "internship, practical training, employment integration" practice base is established. Using project-driven learning methods, it provides students with comprehensive and diversified learning resources, enabling them to become professionals who can adapt to the needs of different fields, thereby meeting the market's demand for diversified talents.

Duration and Degree: Four years, awarded with Bachelor of Science degree.

School Website: http://web1.bdxy.com.cn/sxxy/

Telephone: 0434-6091131