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- 2024 Winter
- Weinberg College of Arts and Sciences
- Statistics
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201-0 Introduction to Programming for Data Science
- 20: Introduction to Programming for Data Science - Arvind Krishna - Mon, Wed, Fri 3:00PM - 3:50PM
202-0 Introduction to Statistics and Data Science
- 20: Introduction to Statistics and Data Science - Danielle Kaye Sass - Mon, Wed, Fri 9:00AM - 9:50AM
202-SG Peer-Guided Study Group: Introduction to Statistics and Data Science
- 01: Peer-Guided Study Group: Introduction to Statistics and Data Science - Borislava Miltcheva - Wed 2:00PM - 4:00PM
- 02: Peer-Guided Study Group: Introduction to Statistics and Data Science - Borislava Miltcheva - Tues 6:00PM - 8:00PM
210-0 Introduction to Probability and Statistics
- 20: Introduction to Probability and Statistics - Jeffrey Thomas Lewis - Mon, Wed, Fri 12:00PM - 12:50PM
210-SG Peer-Guided Study Group: Introduction to Probability and Statistics
- 01: Peer-Guided Study Group: Introduction to Probability and Statistics - Borislava Miltcheva - Tues 2:00PM - 4:00PM
- 02: Peer-Guided Study Group: Introduction to Probability and Statistics - Borislava Miltcheva - Wed 3:00PM - 5:00PM
- 03: Peer-Guided Study Group: Introduction to Probability and Statistics - Borislava Miltcheva - Wed 6:00PM - 8:00PM
228-0 Series and Multiple Integrals
- 20: Series and Multiple Integrals - Nicholas Ng - Mon, Wed, Fri 11:00AM - 11:50AM
301-2 Data Science 2 with R
- 20: Data Science 2 with R - Danielle Kaye Sass - Mon, Wed 12:30PM - 1:50PM
- 21: Data Science 2 with R - Arend Matthew Kuyper - Mon, Wed 5:30PM - 6:50PM
302-0 Data Visualization
- 20: Data Visualization - Matey Neykov - Mon, Wed 3:30PM - 4:50PM
- 21: Data Visualization - Emre Besler - Mon, Wed 3:30PM - 4:50PM
303-2 Data Science 2 with Python
- 20: Data Science 2 with Python - Emre Besler - Mon, Wed 12:30PM - 1:50PM - Fri 7:00PM - 9:00PM
- 21: Data Science 2 with Python - Arvind Krishna - Mon, Wed 5:30PM - 6:50PM - Fri 7:00PM - 9:00PM
- 22: Data Science 2 with Python - Lizhen Shi - Tues, Thurs 5:00PM - 6:20PM - Fri 7:00PM - 9:00PM
304-0 Data Structures and Algorithms for Data Science
- 20: Data Structures and Algorithms for Data Science - Kaize Ding - Tues, Thurs 9:30AM - 10:50AM
320-1 Statistical Theory & Methods 1
- 22: Statistical Theory & Methods 1 - Bradly Carson Stadie - Tues, Thurs 2:00PM - 3:20PM
320-2 Statistical Theory & Methods 2
- 20: Statistical Theory & Methods 2 - Wenxin Jiang - Mon, Wed, Fri 12:00PM - 12:50PM
- 21: Statistical Theory & Methods 2 - Wenxin Jiang - Mon, Wed, Fri 2:00PM - 2:50PM
350-0 Regression Analysis
- 22: Regression Analysis - Hongmei Jiang - Tues, Thurs 11:00AM - 12:20PM
353-0 Advanced Regression
- 20: Advanced Regression - Laura Elizabeth Tipton - Tues, Thurs 3:30PM - 4:50PM
354-0 Time Series Modeling
- 20: Time Series Modeling - Margaret Elizabeth Andrews - Mon, Wed, Fri 10:00AM - 10:50AM
359-0 Topics in Statistics
- 20: Deep Learning - Topics in Statistics - Bradly Carson Stadie - Tues, Thurs 12:30PM - 1:50PM
383-0 Probability and Statistics for ISP
- 20: Probability and Statistics for ISP - Thomas A Severini - Mon, Wed, Fri 1:00PM - 1:50PM
390-0 Data Science Project
- 20: Data Science Project - Lizhen Shi - Tues, Thurs 3:30PM - 4:50PM
420-2 Introduction to Statistical Theory & Methodology-2
- 20: Introduction to Statistical Theory & Methodology-2 - Jiping Wang - Tues, Thurs 2:00PM - 3:20PM
430-2 Probability for Statistical Inference 2
- 20: Probability for Statistical Inference 2 - Miklos Zoltan Racz - Tues, Thurs 11:00AM - 12:20PM
439-0 Meta-Analysis
- 20: Meta-Analysis - Laura Elizabeth Tipton - Tues, Thurs 12:30PM - 1:50PM
457-0 Applied Bayesian Inference
- 20: Applied Bayesian Inference - Martin A Tanner - Tues, Thurs 9:30AM - 10:50AM
461-0 Advanced Topics in Statistics
- 20: Advanced Statistical Theory 2 - Advanced Topics in Statistics - Matey Neykov - Mon, Wed 12:30PM - 1:50PM
519-0 Responsible Conduct of Research Training
- 20: Responsible Conduct of Research Training - Laura Elizabeth Tipton - TBA
595-0 Internship
- 1: Internship - Hongmei Jiang - TBA