Course syllabi are available as an informational and archival resource. They represent the work of the instructor at the time of deposit. Syllabi may change up until the first day of classes or even during the course of the semester.
Please contact the academic department or course instructor directly if you have questions regarding course content or requirements. Some courses do not have syllabi available.
Submissions from 2022
Fall 2022 Elem Statistical Inference, Ryan T. Hansen
Fall 2022 Elem Statistical Inference, Ryan T. Hansen
Fall 2022 Elem Statistical Inference, Ryan T. Hansen
Fall 2022 Elem Statistical Inference, Ryan T. Hansen
Fall 2022 Intermediate Statistcl Methods, Ryan T. Hansen
2022 Understanding Statistics, Ryan T. Hansen
Spring 2022 Elem Statistical Inference, Caleb Holloway
Fall 2022 Elem Statistical Inference, Caleb Holloway
Fall 2022 Statistical Methods 2, Mihyun Kim
2022 Elem Statistical Inference, Candace Marie Lawrence
Fall 2022 Elem Statistical Inference, Candace Marie Lawrence
Fall 2022 Elem Statistical Inference, Candace Marie Lawrence
2022 Elem Statistical Inference, Candace Marie Lawrence
2022 Elem Statistical Inference, Candace Marie Lawrence
2022 Elem Statistical Inference, Candace Marie Lawrence
Fall 2022 SPTP:Elem Stat Inference Coreq, Candace Marie Lawrence
Fall 2022 Elem Statistical Inference, Clark Metz
Fall 2022 Applied Regression Analysis, Jason Allan Palmer
Fall 2022 Data Analysis, Jason Allan Palmer
Fall 2022 Elem Statistical Inference, Richard F. Petersen
2022 Elem Statistical Inference, Richard F. Petersen
2022 Intro Probability & Statistics, Richard F. Petersen
2022 Understanding Statistics, Richard F. Petersen
2022 Design of Experiments, Kenneth Ryan
2022 Introductory Design & Analysis, Kenneth Ryan
Fall 2022 Theory of Probability, Kenneth Ryan
2022 Theory of Statistics, Kenneth Ryan
Fall 2022 Theory of Statistics 1, Kenneth Ryan
2022 Theory of Statistics 2, Kenneth Ryan
Fall 2022 Understanding Statistics, Lisa Zyga
Submissions from 2021
Fall 2021 Elem Statistical Inference, Caleb Holloway
Fall 2021 Elem Statistical Inference, Candace Marie Lawrence
Spring 2021 Elem Statistical Inference, Richard F. Petersen
Fall 2021 Elem Statistical Inference, Richard F. Petersen
Summer 2021 Intro Probability & Statistics, Richard F. Petersen
Spring 2021 Understanding Statistics, Richard F. Petersen
Fall 2021 Understanding Statistics, Richard F. Petersen
Fall 2021 Elem Statistical Inference, Diana L. Powers
Fall 2021 Applied Regression Analysis, Kenneth Ryan
Fall 2021 Data Analysis, Kenneth Ryan
Fall 2021 Theory of Probability, Kenneth Ryan
Fall 2021 Theory of Statistics 1, Kenneth Ryan
Submissions from 2020
Fall 2020 Intro Probability & Statistics, Mark Culp
Fall 2020 Intro Probability & Statistics, Stacey Culp
Fall 2020 Statistical Methods 2, Stacey Culp
Fall 2020 Elem Statistical Inference, Candace Marie Lawrence
Fall 2020 Elem Statistical Inference, John Tyler Moss
Spring 2020 Elem Statistical Inference, Richard F. Petersen
Fall 2020 Elem Statistical Inference, Richard F. Petersen
Spring 2020 Understanding Statistics, Richard F. Petersen
Fall 2020 Understanding Statistics, Richard F. Petersen
Fall 2020 Elem Statistical Inference, Diana L. Powers
Fall 2020 Applied Regression Analysis, Kenneth Ryan
Fall 2020 Data Analysis, Kenneth Ryan
Fall 2020 Theory of Probability, Kenneth Ryan
Fall 2020 Theory of Statistics 1, Kenneth Ryan
Submissions from 2019
Spring 2019 Elem Statistical Inference, Susan M. Barton
Fall 2019 Elem Statistical Inference, Susan M. Barton
Spring 2019 Elem Statistical Inference, Susan M. Barton
Fall 2019 Elem Statistical Inference, Stacey Culp
Spring 2019 Elem Statistical Inference, Stacey Culp
Fall 2019 Statistical Methods 2, Stacey Culp
Spring 2019 Statistical Methods 2, Stacey Culp
Spring 2019 Elem Statistical Inference, Huey Miin Lee
Fall 2019 Elem Statistical Inference, Huey Miin Lee
Fall 2019 Elem Statistical Inference, Huey Miin Lee
Spring 2019 Elem Statistical Inference, Huey Miin Lee
Summer 2019 Statistical Methods 1, Huey Miin Lee
Summer 2019 Understanding Statistics, Huey Miin Lee
Summer 2019 Elem Statistical Inference, Yelena A. Meadows
Spring 2019 Elem Statistical Inference, Yelena A. Meadows
Spring 2019 Elem Statistical Inference, Yelena A. Meadows
Spring 2019 Intro Probability & Statistics, Richard F. Petersen
Summer 2019 Intro Probability & Statistics, Richard F. Petersen
Spring 2019 Understanding Statistics, Richard F. Petersen
Spring 2019 Design of Experiments, Kenneth Ryan
Fall 2019 Intermediate Statistcl Methods, Kenneth Ryan
Spring 2019 Introductory Design & Analysis, Kenneth Ryan
Fall 2019 Theory of Probability, Kenneth Ryan
Spring 2019 Theory of Statistics, Kenneth Ryan
Fall 2019 Theory of Statistics 1, Kenneth Ryan
Submissions from 2018
Fall 2018 Elem Statistical Inference, Susan M. Barton
Spring 2018 ADTP: Data Science, Mark Culp
Fall 2018 Categorical Data Analysis, Mark Culp
Fall 2018 Data Mining, Mark Culp
Spring 2018 Applied Regression Analysis, Stacey Culp
Spring 2018 Data Analysis, Stacey Culp
Fall 2018 Elem Statistical Inference, Stacey Culp
Fall 2018 Statistical Methods 2, Stacey Culp
Spring 2018 Understanding Statistics, Stacey Culp
Spring 2018 Statistical Methods 2, Casey Jelsema
Fall 2018 Elem Statistical Inference, Huey Miin Lee
Spring 2018 Elem Statistical Inference, Huey Miin Lee
Spring 2018 Elem Statistical Inference, Huey Miin Lee
Fall 2018 Elem Statistical Inference, Huey Miin Lee
Summer 2018 Statistical Methods 1, Huey Miin Lee
Summer 2018 Understanding Statistics, Huey Miin Lee
Summer 2018 Understanding Statistics, Huey Miin Lee
Summer 2018 Elem Statistical Inference, Yelena A. Meadows
Fall 2018 Elem Statistical Inference, Yelena A. Meadows