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Course Introduction
Course Intro

Curriculum

Seminar ( Graduate, 1 credit hours, every semester )
Probjavascript:void(0)ability Theory ( Graduate, 3 credit hours, once a year )
Applied Probability Models ( Graduate, 3 credit hours, once a year )
Mathematical Statistics ( Graduate, 4 credit hours, once a year )
Statistics in Ecology, Environment, Genetics and Medicine ( Graduate, 3 credit hours, once a year )
Linear Models ( Graduate, 3 credit hours, once a year )
Quality Control System ( Graduate, 3 credit hours, once a year )
Colloquium ( Graduate, 1 credit hours, every semester )
Generalized Linear Models ( Graduate, 3 credit hours, once a year )
Categorical Data Analysis ( Graduate, 3 credit hours, once a year )
Reliability analysis ( Graduate, 3 credit hours, once a year )
Survival Analysis ( Graduate, 3 credit hours, once a year )
Statistical Computing ( Graduate, 3 credit hours, once a year )
Advanced Probability Theory ( Graduate, 3 credit hours, once a year )
Time Series Analysis ( Graduate, 3 credit hours, once a year )
Applied Multivariate Analysis ( Graduate, 3 credit hours, once a year )
Design and Analysis of Experiments ( Graduate, 2 credit hours, once a year )
Advanced Survival Analysis ( Graduate, 3 credit hours, once a year )
Statistical Inference ( Graduate, 3 credit hours, once a year )
Statistical Learning ( Graduate, 3 credit hours, once a year )
Practicing Statistics ( Graduate, 2 credit hours, every semester )
High Dimensional Survival Data Analysis ( Graduate, 3 credit hours, once a year )
Special topic of Response Surface Methodology ( Graduate, 3 credit hours, once a year )
Thesis ( Graduate, 0 credit hours, every semester )

 

Graduate Requirements

For Master degree students, 32 credit hours and a thesis

For Ph.D. degree students, 24 credit hours and a dissertation 

 

Contact Information

For information specifically related to the Institutes of Statistics, please contact

Director :  Nan-Jung Hsu, njhsu@stat.nthu.edu.tw

Secretary:  Wan-Ting Shih, swt@mx.nthu.edu.tw