This new degree program will begin in Fall semester of 2021.

Syllabi

Fall 2021 Syllabi

Providing a copy of the syllabus for the website is at the discretion of the instructor, so all syllabi for the department may not be available.

 

Course Section Title Instructor Syllabus
STA 1013 01 Statistics Through Example Sunghee Park STA1013-01
STA 1013 02 Statistics Through Example Sunghee Park STA1013-02
STA 1013 03 Statistics Through Example Xinyu Zhou STA1013-03
STA 1013 04 Statistics Through Example Xinyu Zhou STA1013-04
STA 1013 05 Statistics Through Example Zhou Meng STA1013-05
STA 1013 06 Statistics Through Example Xiaolin Wang STA1013-06
STA 1013 07 Statistics Through Example Shuai Hao  
STA 1013 08 Statistics Through Example Shuai Hao  
STA 1013 09 Statistics Through Example Wenshan Han STA1013-09
STA 1013 10 Statistics Through Example Wenshan Han STA1013-10
STA 1013 11 Statistics Through Example Xiaolin Wang STA1013-11
STA 1013 12 Statistics Through Example Zhou Meng STA1013-12
STA 1013 13 Statistics Through Example Wanjing Wang STA1013-13
STA 1013 14 Statistics Through Example Wanjing Wang STA1013-14
STA 1013 15 Statistics Through Example Siqi Mao STA1013-15
STA 1013 16 Statistics Through Example Siqi Mao STA1013-16
STA 1013 17 Statistics Through Example Hanwen Hu STA1013-17
STA 1013 18 Statistics Through Example Hanwen Hu STA1013-18
STA 2023 01-13 Fundamental Business Statistics Radha Bose STA2023-01-13
STA 2023 14 Fundamental Business Statistics Rittwika Kansabanik  
STA 2023 15 Fundamental Business Statistics Ye Eun Bae STA2023-15
STA 2023 16 Fundamental Business Statistics Connor Doherty  
STA 2023 17 Fundamental Business Statistics Abhishek Mandal  
STA 2023 18 Fundamental Business Statistics Benjamin Beaudett STA2023-18
STA 2023 19 Fundamental Business Statistics Sudipto Saha STA2023-19
STA 2122 01-13 Introduction to Applied Statistics Radha Bose STA2122-01-13
STA 2122 14 Introduction to Applied Statistics Hunter Melton STA2122-14
STA 2122 15 Introduction to Applied Statistics Sayantika Nag  
STA 2122 16 Introduction to Applied Statistics Hunter Melton STA2122-16
STA 2122 17 Introduction to Applied Statistics Sayantika Nag  
STA 2122 18 Introduction to Applied Statistics Arnab Aich  
STA 2122 19 Introduction to Applied Statistics Jingze Liu STA2122-19
STA 2122 20 Introduction to Applied Statistics Avizit Chandra Adhikary  
STA 2122 21 Introduction to Applied Statistics Avizit Chandra Adhikary  
STA 2122 22 Introduction to Applied Statistics Sayan Bhadra  
STA 2122 23 Introduction to Applied Statistics Sayan Bhadra  
STA 2122 24 Introduction to Applied Statistics Brandon Collazos  
STA 2122 25 Introduction to Applied Statistics Brandon Collazos  
STA 2122 26 Introduction to Applied Statistics Mark Zamani STA2122-26
STA 2122 27 Introduction to Applied Statistics Mark Zamani STA2122-27
STA 2122 28 Introduction to Applied Statistics Michael Zamani  
STA 2122 29 Introduction to Applied Statistics Michael Zamani  
STA 2122 30 Introduction to Applied Statistics Jingze Liu STA2122-30
STA 2122 31 Introduction to Applied Statistics Arnab Aich  
STA 2122 32 Introduction to Applied Statistics Anisha Das STA2122-32
STA 2122 33 Introduction to Applied Statistics Anisha Das STA2122-33
STA 2122 34 Introduction to Applied Statistics Yuanxin Yuan  
STA 2122 35 Introduction to Applied Statistics Yuanxin Yuan  
STA 2171 01 Statistics for Biology Madison Layfield  
STA 2171 02 Statistics for Biology Adam Dixon STA2171-02
STA 2171 03 Statistics for Biology Qing Han STA2171-03
STA 2171 04 Statistics for Biology James O'Hagan STA2171-04
STA 2171 05 Statistics for Biology Linxi Meng STA2171-05
STA 3024 -- SAS for Data and Statistical Analyses Steven Ramsier STA3024
STA 3032 -- Applied Statistics for Engineers and Scientists Jonathan Stewart STA3032
STA 3064 -- Introduction to Statistical Modeling with SAS Steven Ramsier STA3064
STA 4203 -- Applied Regression Methods Justin Shows STA4203
STA 4321/5323 01 Introduction to Mathematical Statistics Andres Barrientos STA4321-5323
STA 4321/5323 02 Introduction to Mathematical Statistics Hongyuan Cao STA4321-5323
STA 4442/5440 -- Introduction to Probability Chao Huang STA4442-5440
STA 4664/5666 -- Statistics for Quality and Productivity Steven Ramsier STA4664-5666
STA 4702/5707 -- Applied Multivariate Analysis Victor Patrangenaru STA4702-5707
STA 5066 -- Data Management and Analysis with SAS Justin Shows STA5066
STA 5106 -- Comp Methods in Statistics I Wei Wu STA5106
STA 5166 -- Statistics in Applications I Lifeng Lin STA5166
STA 5168 -- Statistics in Applications III Lifeng Lin STA5168
STA 5198 -- Epi. for Stats Elizabeth Slate STA5198
STA 5207 -- Applied Regression Methods Justin Shows STA5207
STA 5208 -- Linear Statistical Models Hongyuan Cao STA5208
STA 5326 -- Distribution Theory and Inference Fred Huffer STA5326
STA 5635 -- Applied Machine Learning Adrian Barbu STA5635
STA 5721 -- High-Dimensional Statistics Qing Mai  
STA 5934 02 Statistical Genetics Chong Wu STA5934-02
STA 5934 03 Statistical Data Science With Python Chao Huang STA5934-03
STA 5939 -- Introduction to Statistical Consulting Xufeng Niu STA5939
STA 6346 -- Advanced Probability and Inference I Eric Chicken STA6346
STA 6468 -- Advanced Topics in Probability/Statistics Anuj Srivastava  
STA 6709 -- Spatial Statistics Jonathan Bradley STA6709

 

Syllabi - Spring 2021

Syllabi - Fall 2020

Syllabi - Spring 2020

Syllabi - Fall 2019

Syllabi - Summer 2019

Syllabi - Spring 2019

Syllabi - Fall 2018

Syllabi - Spring 2018

Syllabi - Fall 2017

Syllabi - Spring 2017

Syllabi - Fall 2016

Syllabi - Spring 2016

Syllabi - Fall 2015

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