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Department of Statistics

Department of Statistics

The Department of Statistics focuses on studying statistical methods used to analyze information from many disciplines including natural science, social science, business administration, engineering, and agricultural science as well as providing a classical education on statistical theory. In addition, the department focuses on developing abilities to statistically analyze data through computers.

  • 244
    Kim, Kyu-Seong Professor
    • Sampling theory; statistical survey theory
    • Mirae Hall # 701
    • +82-2-6490-2631
    • kskim@uos.ac.kr
  • 242
    Ahn, Soo-Han Professor
    • Stochastic process theory; queueing theory
    • Mirae Hall # 715
    • +82-2-6490-2632
    • sahn@uos.ac.kr
  • 243
    Jung, Byoung-Cheol Professor
    • Linear models
    • Mirae Hall # 703
    • +82-2-6490-2633
    • bcjung@uos.ac.kr
  • 240
    Park, Changyi Professor
    • Statistical learning; non-parametric inference
    • Mirae Hall # 704
    • +82-2-6490-2634
    • park463@uos.ac.kr
  • 462
    Lee, Yonghee Professor
    • Variance component and mixed models
    • Mirae Hall # 714
    • +82-2-6490-2635
    • ylee@uos.ac.kr
  • 562
    Kim, Sunggon Professor
    • Computational statistics; statistics for finance
    • Mirae Hall # 713
    • +82-2-6490-2636
    • sgkim@uos.ac.kr
  • 939
    Jeon, Jong-June Professor
    • Machine Learning, Generative models
    • Mirae Hall # 712
    • +82-2-6490-2637
    • jj.jeon@uos.ac.kr
  • 1228
    Choi, Yun-jin Professor
    • Unsupervised learning; selective inference
    • Mirae Hall # 711
    • +82-2-6490-2639
    • ycstat@uos.ac.kr
  • 1262
    Park, Jaehui Professor
    • Databases; information retrieval; natural language processing
    • Mirae Hall # 702
    • +82-2-6490-2630
    • jaehui@uos.ac.kr
  • 1664
    Kim, Yoon-Yeong Professor
    • Artificial intelligence; machine learning
    • Mirae Hall # 705
    • 82-2-6490-2638
    • yykim@uos.ac.kr
  • 1746
    Lee, Seong-ho Professor
    • Semiparametric theory; incomplete data analysis
    • Mirae Hall # 707
    • +82-2-6490-2628
    • seongho@uos.ac.kr
Degree Requirements
Courses Credits
*General
Studies
(required)
Total: 16
credits
Presentation and Discussion 2
Technical Writing 2
English Reading & Grammar 2
English Speaking Ⅰ 1
English Listening & Writing 2
English Speaking Ⅱ 1
Calculus Ⅰ 3
Calculus Ⅱ 3
General
Studies
(elective)
Total: 14
credits
History and Philosophy or Literature and Art 3
Society and Idea 3
*Elementary Major Course Study
- General Physics and Experiment
- General Chemistry and Experiment
- General Biology and Experiment
8
Major
Courses
Required 15
Elective 45
Other


27
Total


130
Course List
Course
Number
Course Title School Year Semester Credit Lecture
(hours)
Practice
(hours)
47001 Introduction to Computer Freshmen Spring 3 3 0
47002 Introduction to Statistics and Lab Fall 3 2 2
47003 Statistics Sophomore Spring 3 3 0
47030 Statistical Mathematics Spring 3 3 0
47004 Matrix Algebra Ⅰ Spring 3 3 0
47005 Elementary Computational Statistics Spring 3 3 0
47028 Statistical Programming and Experiments Spring 3 2 2
47006 Probability Theory Fall 3 3 0
47029 Programming Languages and Experiments Fall 3 2 2
47007 Statistical Computing Fall 3 3 0
47008 Matrix Algebra Ⅱ Fall 3 3 0
47010 Discrete Data Analysis Junior Spring 3 3 0
47011 Mathematical Statistics Ⅰ Spring 3 3 0
47012 Nonparametric Statistics Spring 3 3 0
47032 Regression Analysis and Lab Ⅰ Spring 3 2 2
47031 Statistical Databases Spring 3 3 0
47013 Mathematical Statistics Ⅱ Fall 3 2 2
47014 Statistical Data Analysis Fall 3 3 0
47015 Survey Sampling Fall 3 3 0
47018 Experimental Designs Fall 3 3 0
47033 Regression Analysis and Lab Ⅱ Fall 3 2 2
47038 Thesis Qualifying Examination Senior Spring & Falll S.U 3 0
47019 Stochastic Process Spring 3 3 0
47022 Data Mining Ⅰ Spring 3 3 0
47035 Multivariate Statistics and Lab Spring 3 2 2
47034 Topics in Statistics Ⅰ Spring 3 3 0
47026 Actuarial Statistics Fall 3 3 0
47036 Topics in Statistics Ⅱ Fall 3 3 0
47025 Data Mining Ⅱ Fall 3 3 0
47037 Time Series Analysis and Lab Fall 3 2 2