The main mission of Faculty of Math is to educate the math talents equipped with profound basic and professional knowledge and creative ability, thus skillfully solving the scientific and technological problems arising in several sectors of national economy.

At the time of the foundation of

Faculty of Math consists of 9 departments(Department of Analytics, Department of Algebra, Department of Geometry, Department of Different Equation, Department of Probability and Mathematical Statistics, Department of Operational Research, Department of Numeral Mathematics, Department of Discrete Mathematics, Department of Higher Mathematics) and 2 laboratories(Laboratory of Information Mathematics, Applied Mathematics).

There are Mathematics Course, Numeral Science Course, Applied Mathematics Course, Modern Mathematics Course.

Typical subjects are "Mathematical Analytic", "Linear Algebra", "Analytic Geometry", "Topology", "Probability Theory", "Mathematical Statistics", "Digital Analytics", "Combination Mathematics", "Ordinary Differential Equation" and "Optimization Method".

There 160 teaching staff including 3 candidate academicians, 50 doctors. 70 of teaching staff have academic title of professor or associate professor.

About 1 100 students are studying at the faculty.

**Introduction to Curriculum For Exchange Students**

System of Education: 4 years

Qualification: Bachelor of Mathematics

- 1^{st} year

1^{st} term

No. | Subjects | Credits | Hours per week | Type of Examination | Note |
---|---|---|---|---|---|

1 | 1^{st} foreign language | 3 | 4 | Type 1 | |

2 | Physics | 5 | 6 | Type 1 | |

3 | Mathematical analysis | 6 | 6 | Type 1 | |

4 | Algebra | 5 | 5 | Type 1 | |

5 | Analytical geometry | 4 | 4 | Type 1 | |

6 | Physical education | 1 | 1 | Type 2 | |

Total | 24 | 26 |

2^{nd} term

No. | Subjects | Credits | Hours per week | Type of Examination | Note |
---|---|---|---|---|---|

1 | Logic | 2 | 2 | Type 2 | |

2 | 1^{st} foreign language | 3 | 4 | Type 2 | |

3 | Mathematical analysis | 6 | 6 | Type 1 | |

4 | Algebra | 4 | 5 | Type 1 | |

5 | Algorithm and Programming | 3 | 4 | Type 2 | |

6 | Physical education | 1 | 1 | Type 2 | |

Total | 19 | 22 |

- 2^{nd} year

1^{st} term

No. | Subjects | Credits | Hours per week | Type of Examination | Note |
---|---|---|---|---|---|

1 | Korean history | 3 | 4 | Type 2 | |

2 | Socialist constitution and Laws | 2 | 2 | Type 2 | |

3 | 1^{st} foreign language | 3 | 4 | Type 1 | |

4 | Mathematical analysis | 5 | 6 | Type 1 | |

5 | Algorithm and programming | 3 | 4 | Type 1 | |

6 | Number theory | 4 | 4 | Type 1 | |

Total | 20 | 24 |

2^{nd} term

No. | Subjects | Credits | Hours per week | Type of Examination | Note |
---|---|---|---|---|---|

1 | Korean history | 4 | 4 | Type 1 | |

2 | 1^{st} foreign language | 3 | 4 | Type 2 | |

3 | Theory of complex variable functions | 4 | 4 | Type 1 | |

4 | Differential equations | 4 | 4 | Type 1 | |

5 | Theory of real variable functions | 4 | 4 | Type 1 | |

6 | 2^{nd} foreign language(option) | 3 | 4 | Type 2 | |

Total | 22 | 24 |

- 3^{rd} year

1^{st} term

No. | Subjects | Credits | Hours per week | Type of Examination | Note |
---|---|---|---|---|---|

1 | Juche philosophy | 2 | 2 | Type 2 | |

2 | 1^{st} foreign language | 2 | 4 | Type 1 | |

3 | Differential equations | 4 | 4 | Type 1 | |

4 | Numerical analysis | 4 | 5 | Type 1 | |

5 | Linear algebra and geometry | 4 | 4 | Type 2 | |

6 | Functional analysis | 4 | 4 | Type 1 | |

7 | 2^{nd} foreign language(option) | 4 | 4 | Type 2 | |

Total | 24 | 27 |

2^{nd} term

No. | Subjects | Credits | Hours per week | Type of Examination | Note |
---|---|---|---|---|---|

1 | Juche philosophy | 3 | 4 | Type 1 | |

2 | 1^{st} foreign language | 2 | 2 | Type 2 | |

3 | Topology | 4 | 4 | Type 1 | |

4 | Probability and Mathematical statistics | 4 | 5 | Type 1 | |

5 | Modern Algebra | 3 | 5 | Type 2 | |

6 | 2^{nd} foreign language(option) | 4 | 4 | Type 2 | |

Total | 20 | 24 |

- 4^{th} year

1^{st} term

No. | Subjects | Credits | Hours per week | Type of Examination | Note |
---|---|---|---|---|---|

1 | 1^{st} foreign language | 2 | 2 | Type 1 | |

2 | Optimization methods | 4 | 4 | Type 1 | |

3 | Differential geometry | 4 | 4 | Type 1 | |

4 | Probability and Mathematical statistics | 3 | 3 | Type 1 | |

5 | Modern Algebra | 4 | 4 | Type 1 | |

6 | Functional analysis 2 | 3 | 4 | Type 1 | |

7 | Rings and modules | 3 | 4 | Type 1 | |

8 | Riemannian geometry | 3 | 4 | Type 1 | |

9 | Non-linear dynamical system and chaos | 3 | 4 | Type 1 | |

10 | Analytic function theory | 3 | 4 | Type 2 | |

11 | Applied harmonic analysis | 3 | 4 | Type 2 | |

12 | Group theory | 3 | 4 | Type 2 | |

13 | Algebraic coding theory | 3 | 4 | Type 2 | |

14 | Elliptic curves and cryptography | 3 | 4 | Type 2 | |

15 | Homology theory | 3 | 4 | Type 2 | |

16 | Symplectic geometry | 3 | 4 | Type 2 | |

17 | Manifold theory | 3 | 4 | Type 2 | |

18 | Fractional differential equations | 3 | 4 | Type 2 | |

19 | Differential equation pricing models | 3 | 4 | Type 2 | |

20 | Mathematical logic | 3 | 4 | Type 2 | |

21 | Formalization method | 3 | 4 | Type 2 | |

22 | Optimal control theory | 3 | 4 | Type 2 | |

23 | Stochastic differential equations | 3 | 4 | Type 2 | |

Total | 23 | 25 |

Optional subjects for major

Optional subjects for general basis

2^{nd} term

No. | Subjects | Credits | Hours per week | Type of Examination | Note |
---|---|---|---|---|---|

1 | Fourier analysis | 3 | 6 | Type 1 | |

2 | Dynamical system | 3 | 6 | Type 1 | |

3 | Commutative algebra | 3 | 6 | Type 1 | |

4 | Finite fields | 3 | 6 | Type 1 | |

5 | Differential topology | 3 | 6 | Type 1 | |

6 | Algebraic topology | 3 | 6 | Type 1 | |

7 | Elliptic partial differential equation | 3 | 6 | Type 1 | |

8 | Bifurcation theory | 3 | 6 | Type 1 | |

9 | Analytic function theory | 3 | 4 | Type 2 | |

10 | Applied harmonic analysis | 3 | 4 | Type 2 | |

11 | Group theory | 3 | 4 | Type 2 | |

12 | Algebraic coding theory | 3 | 4 | Type 2 | |

13 | Elliptic curves and cryptography | 3 | 4 | Type 2 | |

14 | Homology theory | 3 | 4 | Type 2 | |

15 | Symplectic geometry | 3 | 4 | Type 2 | |

16 | Manifold theory | 3 | 4 | Type 2 | |

17 | Fractional differential equation | 3 | 4 | Type 2 | |

18 | Differential equation pricing model | 3 | 4 | Type 2 | |

19 | Mathematical logic | 3 | 4 | Type 2 | |

20 | Formalization method | 3 | 4 | Type 2 | |

21 | Optimal control theory | 3 | 4 | Type 2 | |

22 | Stochastic differential equations | 3 | 4 | Type 2 | |

Total | 15 | 20 |

Optional subjects for major

Optional subjects for general basis

System of Education: 2 years

Qualification: Master of Mathematics

Subjects for the qualification of Masters:

1. Operator theory

2. Measure and Probability theory

3. Specially-organized lectures on algebra

4. Specially-organized lectures on geometry

5. Specially-organized lectures on major

6. Operator Semi-group

7. Modern Fourier analysis

8. Spectral Theory

9. Nonlinear functional analysis

10. Hyperbolic geometry

11. Homotopy theory

12. Complex geometry

13. Modern dynamical system theory

14. Modern ordinary differential equations

15. Mathematical methods of Mechanics

16. Bifurcation for functional differential equations

17. Stability theory

18. Parabolic differential equations

19. Modern partial differential equations

20. Partial differential equation pricing models

21. Representation theory

22. Algebraic geometry

23. Algebraic number theory

24. Computational complexity theory

25. Algorithm design

26. Theory of sparse approximation

27. Numerical solution to fractional differential equations

28. Theoretical numerical analysis

29. Computation of large matrix

30. Parallel computing

31. Geometrical numerical integration

32. Model checking

33. Modern cryptography

34. Information Retrieval

35. Theory of Machine Learning

36. Specially-organized lectures on Nonlinear programming

37. Applied optimal control theory

38. Dynamic programming

39. Differential game theory

40. Network optimization

41. Modern Inference of Statistics

42. Fractional Brownian motion

43. Statistical analysis of data

44. Applied Stochastic Processes

45. Theory of Systems Reliability

46. Nonlinear Time Series analysis

47. Network of Queue

48. Statistics of process

49. Sampling Survey method

50. Specially-organized lectures on stochastic differential equations