Bachelor Degrees

Study Period:4 years

Graduation requirement:128 Credits(Requirements 85; Electives 43)

In additional to mathematical core courses, the department also offers applied courses (Differential equations, coding theory, linear programming, game theory and applied statistics), and computer science courses. Students can apply for double majors with minor (such as Physics, English literature, Computer science and Information management, Economics, Business administration), cross-field study such as Finance program, Big data analysis program, and education program for teacher.  

Course in English

 

Course

Objective

Syllabus

Introduction to Mathematical Modle

Students are familiar with mathematical modeling cycle of 6 steps

 (1) analysis (A: analyzing);

(2) analog (S: stimulating);

(3) model of the relationship equation

(M: modeling with equations);

(4) experimental implementation

(W: working experimentally);

(5) Description

(I: interpreting);

(6) interpretation

(E: explaining).  

Each student is able to use his or her mathematical knowledge to solve real-world problems by mathematical modeling approach.


Introducing some simple examples to explain the 6 steps of the mathematical modeling cycle.  Solving some real –world problems where students need inter-discipline among natural sciences, biomedical, social sciences by mathematical modeling approach.



 

 

Requirements

Subject Name

Credits

Years

Subject Name

Credits

Years

 General  Requirements

32

 

 Differential  Equations

4

2

 Calculus

8

1

 Introduction to  probability

3

2

 Linear Algebra

6

1

 Introduction to  Statistics

3

2

 General Physics

6

1

 Introduction to  Abstract Algebra  (1)

3

2

 Introduction to  Fundamental  Mathematics

2

1

 Introduction to  Abstract Algebra  (2)

3

2

 Introduction to  Computer Science

3

1

 Introduction to  Complex Analysis

4

3

 Advanced Calculus  (1)

4

2

 Differential  Geometry

4

3

 Advanced Calculus  (2)

4

2

 

 

 

Electives

Vector analysis, Introduction to Number Theory, Mathematics Softwares, Data Structures, Mathematical Statistics, Combinatorial Mathematics, Discrete Mathematics, Applied Linear Algebra, Algebraic Coding, Topics in Algebra, Introduction to Topology , linear programming, Real Analysis, Theory of Ordinary Differential Equations, Introduction to Partial Differential Equations, Biostatistics, Numerical Analysis, Computing Mathematics, Mathematical Epidemiology, Introduction to Mathematical Modeling. Introduction to database, Introduction to Financial Models, Introduction to Cloud Computing.
Remark:Introduction to Mathematical Modeling(In English Only)

Master Degree

Study Period: 2 years

Graduation requirement:24 Credits(Requirements: 6;Electives: 18)

Requirements:

 Program of Mathematics

Subject Name

Credits

Years

Subject Name

Credits

Years

 Analysis (1)

3

1

 Thesis

0

2

 Algebra (2)

3

1

 

 

 

 Program of Mathematical Decision Science and Big Data Analysis

Subject Name

Credits

Years

Subject Name

Credits

Years

 Advanced Applied Statistics

3

1

 Data Mining and  Analysis

3

1

 Operations  Research

3

1

 Thesis

0

2

Electives-- Teachers could instruct the drafting of thesis according to their field of specialty.

Analysis(2), Algebra (2), Topics in Operations Research , Matrix Methods, Game Theory, Advanced Game Theory, Graph Theory, History of Mathematics (1), History of Mathematics (2), Information Retrieval, Artificial Intelligence, Big Data Processing, Cloud Data Management, Financial Computing and Risk Management, Data Processing and Analysis in Practice, Practicum in Data Processing and Analysis, Modeling and Simulation, High-Dimensional Data Analysis, Supply Chain Management.

 

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