Table of courses for Graduate Program of Statistics

 | Post date: 2021/07/4 | 

Table 1- Prerequisite Courses of Statistic
Number The Name of Course Units Hours Prerequisites or simultaneous courses
Theory Applied Total
23 Mathematical Analysis 1 4 64 - 64 13 and 16
27 Mathematical Statistics 1 3 48 - 48 25 and 26
28 Mathematical Statistics 2 3 48 - 48 27
29 Stochastic Processes 1 4 64 - 64 25
30 Sampling Methods 1 3 48 - 48 26
32 Regression 1 3 48 - 48 22 and 27
35 Design of Experiments 1 3 48 - 48 32
36 Nonparametric Methods 3 48 - 48 26
37 Time series 1 4 64 - 64 27 and 29
40 Discrete Multivariate Methods 1 4 64 - 64 28 and 32
* Prerequisite courses from this table are determined according to the branch related to the opinion of the graduate committee of the group
 

Table 2- Specialized Courses of Statistics
Number The Name of Course Units Hours Prerequisites or simultaneous courses
Theory Applied Total
80 Measure Theory and Probability 1 4 64 - 64 23
81 Statistical Inference 1 4 64 - 64 28
82 Statistical Inference 2 4 64 - 64 81
 
 

Table 3- Elective Courses of Statistics
Number The Name of Course Units Hours Prerequisites or simultaneous courses
Theory Applied Total
91 Spatial Statistics 1 4 64 - 64 28
92 Multivariate Analysis 1 4 64 - 64 28
93 Statistical Bioinformatics 4 64 - 64 28
94 Statistical Image Processing 4 64 - 64 28
95 Statistical Shape Analysis 1 4 64 - 64 28
96 Statistical Analysis of Point Patterns 4 64 - 64 114
97 Survival Analysis 4 64 - 64 32
98 Advanced Multivariate Discrete Analysis 4 64 - 64 40
99 Analysis of Longitudinal Data 1 4 64 - 64 32
100 Advanced Data Mining 4 64 - 64 28
101 Survey Methodology 4 64 - 64 30
102 Sequential Methods 4 64 - 64 28
103 Advanced Nonparametric Methods 4 64 - 64 36
104 Time Series 2 4 64 - 64 37
105 Seminar* 4 64 - 64 -
106 Simulation 4 64 - 64 28
107 Advanced Experimental Design 4 64 - 64 35
108 Statistical Process 2 4 64 - 64 29
109 Statistical Techniques 4 64 - 64 -
110 Advanced Discussions on Information Theory 4 64 - 64 28
111 Special Topics 4 64 - 64 -
112 Linear Models 1 4 64 - 64 32
113 Linear Models 2 4 64 - 64 112
114 Measure Theory and Probability 2* 4 64 - 64 80
115 Bayesian Decision Theory 4 64 - 64 28
116 Queuing Theory 4 64 - 64 28
117 Sampling Theory 4 64 - 64 30
118 Reliability Theory1 4 64 - 64 28
119 Copula Theory and Dependence Modeling 4 64 - 64 28
* These courses are necessarily taken by the student.


 



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