Department of Statistics, The Pennsylvania State University
- MATH/STAT 414: Introduction to Probability Theory.
- Spring 2016: TR 2:30 PM - 3:45 PM. Jan. 11 - Apr. 29.
- Spring 2014: MWF 8:00 AM - 8:50 AM. Jan. 13 - May 2.
- MATH/STAT 418: Introduction to Probability and Stochastic Processes for Engineering.
- Spring 2016: TR 8:00 AM - 9:15 AM. Jan. 11 - Apr. 29.
- STAT 462: Applied Regression Analysis.
- Spring 2021: MWF 9:05 AM - 9:55 AM. Jan. 19 - Apr. 30.
- Spring 2021: MWF 10:10 AM - 11:00 AM. Jan. 19 - Apr. 30.
- Spring 2020: MWF 9:05 AM - 9:55 AM. Jan. 13 - May. 1.
- Spring 2020: MWF 10:10 AM - 11:00 AM. Jan. 13 - May. 1.
- Spring 2019: MWF 8:00 AM - 8:50 AM. Jan. 7 - Apr. 28.
- Spring 2018: MWF 8:00 AM - 8:50 AM. Jan. 8 - Apr. 27.
- Spring 2016: MWF 4:40 PM - 5:30 PM. Jan. 11 - Apr. 29.
- Spring 2015: MWF 8:00 AM - 8:50 AM. Jan. 12 - May 1.
- Spring 2015: MWF 10:10 AM - 11:00 AM. Jan. 12 - May 1.
- Spring 2012: MWF 4:40 PM - 5:30 PM. Jan. 8 - Apr. 27.
- STAT 500: Applied Statictics.
- Summer 2021: May 17 - Aug. 13.
- STAT 553: Asymptotic Tools.
- Spring 2017: MWF 1:25 PM - 2:15 PM. Jan. 9 - Apr. 28.
- Spring 2016: MWF 1:25 PM - 2:15 PM. Jan. 11 - Apr. 29.
- STAT 597: Statistical Learning Theory.
- Fall 2016: F 1:00 PM - 3:30PM. Aug. 2 - Dec. 9. Topics include Convex Optimization, L1 Penalization, Graphical Models, Compressed Sensing, Graphical Models, Matrix Completion, Deep Learning, TensorFlows, Dimension Reduction, and High-Dimensional Inference.
- STAT 508/STAT 897D: Applied Data Mining and Statistical Learning.
- Summer 2022: May 12 - Aug. 12.
- Fall 2021: Aug. 23 - Dec. 10.
- Fall 2018: Aug. 20 - Dec. 7. Topics include variable selection; regression shrinkage; dimension reduction; discriminant analysis; nearest-neighbors; decision trees; bagging; boosting; support vector machines; principal components analysis; clustering; neural networks; deep learning; TensorFlow.
- Fall 2017: Aug. 21 - Dec. 8. Topics include variable selection; regression shrinkage; dimension reduction; discriminant analysis; nearest-neighbors; decision trees; bagging; boosting; support vector machines; principal components analysis; clustering.
- Useful Links: PSU Data Sciences. Academic Calendar. Course Schedule. LionPATH. Canvas CMS. Angel CMS. eLion. Final Exam.
School of Statistics, University of Minnesota
- STAT 3021: Introduction to Probability and Statistics. (Fall 2011)
- STAT 5931: Topics in Statistics - Model Selection. (Fall 2010)