NEW MS DEGREE IN INTERDISCIPLINARY DATA SCIENCE

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Syllabi

Spring 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 Herman Autore STA1013-01
STA 1013 02 Statistics Through Example Jonathan Viswasam  
STA 1013 03 Statistics Through Example Shengjie Jiang STA1013-03
STA 1013 04 Statistics Through Example Shengjie Jiang STA1013-04
STA 1013 05 Statistics Through Example Xiaolin Wang STA1013-05
STA 1013 06 Statistics Through Example Xiaolin Wang STA1013-06
STA 1013 07 Statistics Through Example Hanwen Hu STA1013-07
STA 1013 08 Statistics Through Example Boshi Wang STA1013-08
STA 1013 09 Statistics Through Example Wenshan Han STA1013-09
STA 1013 10 Statistics Through Example Hanwen Hu STA1013-10
STA 1013 11 Statistics Through Example Herman Autore STA1013-11
STA 1013 12 Statistics Through Example Jonathan Viswasam  
STA 1013 13 Statistics Through Example Harshita Dogra  
STA 1013 14 Statistics Through Example Boshi Wang STA1013-14
STA 1013 15 Statistics Through Example Zhuo Meng STA1013-15
STA 1013 16 Statistics Through Example Zhuo Meng STA1013-16
STA 1013 17 Statistics Through Example Harshita Dogra  
STA 1013 18 Statistics Through Example Wenshan Han STA1013-18
STA 2023 01-13 Fundamental Business Statistics Radha Bose STA2023 01-13
STA 2023 14 Fundamental Business Statistics Sneha Govande  
STA 2023 15 Fundamental Business Statistics Junge Li STA2023-15
STA 2023 16 Fundamental Business Statistics Yijia Ma STA2023-16
STA 2023 17 Fundamental Business Statistics Sudipto Saha STA2023-17
STA 2023 18 Fundamental Business Statistics Kevin Waite  
STA 2023 19 Fundamental Business Statistics Ye Eun Bae STA2023-19
STA 2023 20 Fundamental Business Statistics Kristine Rosenberger  
STA 2023 21 Fundamental Business Statistics Kristine Rosenberger  
STA 2122 01-13 Introduction to Applied Statistics Radha Bose STA2122 01-13
STA 2122 14 Introduction to Applied Statistics Linxi Meng STA2122-14
STA 2122 15 Introduction to Applied Statistics Linxi Meng STA2122-15
STA 2122 16 Introduction to Applied Statistics Pranay Tarafdar  
STA 2122 17 Introduction to Applied Statistics Yuanxin Yao  
STA 2122 18 Introduction to Applied Statistics Avizit Chandra Adhikary STA2122-18
STA 2122 19 Introduction to Applied Statistics Hunter Melton STA2122-19
STA 2122 20 Introduction to Applied Statistics Sayantika Nag STA2122-20
STA 2122 21 Introduction to Applied Statistics Roland Moore STA2122-21
STA 2122 22 Introduction to Applied Statistics Roland Moore STA2122-22
STA 2122 23 Introduction to Applied Statistics Nicholas Salyers  
STA 2122 24 Introduction to Applied Statistics Nicholas Salyers  
STA 2122 25 Introduction to Applied Statistics Haesong Choi STA2122-25
STA 2122 26 Introduction to Applied Statistics Haesong Choi STA2122-26
STA 2122 27 Introduction to Applied Statistics Shubo Tian STA2122-27
STA 2122 28 Introduction to Applied Statistics Shubo Tian STA2122-28
STA 2122 29 Introduction to Applied Statistics Zachary Nimmons  
STA 2122 30 Introduction to Applied Statistics Michael Wilson STA2122-30
STA 2122 31 Introduction to Applied Statistics Pranay Tarafdar  
STA 2122 32 Introduction to Applied Statistics Yuanxin Yao  
STA 2122 33 Introduction to Applied Statistics Avizit Chandra Adhikary STA2122-33
STA 2122 34 Introduction to Applied Statistics Hunter Melton STA2122-34
STA 2122 35 Introduction to Applied Statistics Sayantika Nag STA2122-35
STA 2122 36 Introduction to Applied Statistics Zachary Nimmons  
STA 2122 37 Introduction to Applied Statistics Michael Wilson STA2122-37
STA 2171 01 Statistics for Biology Disa Yu STA2171-01
STA 2171 02 Statistics for Biology Adam Dixon STA2171-02
STA 2171 03 Statistics for Biology James O'Hagan  
STA 2171 04 Statistics for Biology Benjamin Russoniello  
STA 3024 01 SAS for Data and Statistical Analyses Steven Ramsier  
STA 3032 01 Applied Statistics for Engineers and Scientists Rongjie Liu STA3032
STA 3064 01 Introduction to Statistical Modeling with SAS Steven Ramsier  
STA 4103/5107 -- Computational Methods in Statistics II Anuj Srivastava  
STA 4173/5126 -- Introduction to Applied Statistics Justin Shows STA4173/5126
STA 4202/5206 -- Analysis of Variance and Design of Experiments Justin Shows  
STA 4321/5323 01 Introduction to Mathematical Statistics Jonathan Stewart STA4321/5323
STA 4321/5323 02 Introduction to Mathematical Statistics Chong Wu  
STA 4322/5325 -- Mathematical Statistics Victor Patrangenaru STA4322/5325
STA 4442/5440 -- Introduction to Probability Chao Huang STA4442/5440
STA 4853 -- Time Series and Forecasting Methods Fred Huffer STA4853
STA 4931 -- Statistics in Practice Steven Ramsier  
STA 5067 -- Advanced Data Management and Analysis with SAS Justin Shows STA5067
STA 5167 -- Statistics in Applications II Xin Zhang  
STA 5179 -- Applied Survival Analysis Debajyoti Sinha  
STA 5327 -- Statistical Inference Qing Mai  
STA 5334 -- Limit Theory of Statistics Victor Patrangenaru  
STA 5856 -- Time Series and Forecasting Methods Wei Wu  
STA 5934 01 Bayesian Methods Andrés Barrientos STA5934-01
STA 5934 02 Statistical Computing with Python Adrian Barbu STA5934-02
STA 5934 03 Spatial & Temporal Models Jonathan Bradley  
STA 5934 04 Text Mining & Deep Learning Jinfeng Zhang  
STA 5934 05 Meta-Analysis Lifeng Lin STA5934-05
STA 6448 -- Advanced Probability and Inference II Yiyuan She STA6448
STA 6723 -- Statistical Optimization Yiyuan She STA6723

 

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