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- 2024 Fall
- Weinberg College of Arts and Sciences
- Statistics
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101-7 College Seminar
- 20: College Seminar - Sandy L Zabell - Mon, Wed, Fri 2:00PM - 2:50PM
201-0 Introduction to Programming for Data Science
- 20: Introduction to Programming for Data Science - Emre Besler - Mon, Wed, Fri 1:00PM - 1:50PM
202-0 Introduction to Statistics and Data Science
- 20: Introduction to Statistics and Data Science - Arvind Krishna - 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 4:30PM - 6:30PM
- 02: Peer-Guided Study Group: Introduction to Statistics and Data Science - Borislava Miltcheva - Su 2:00PM - 4:00PM
- 03: Peer-Guided Study Group: Introduction to Statistics and Data Science - Borislava Miltcheva - Tues 12:00PM - 2:00PM
210-0 Introduction to Probability and Statistics
- 20: Introduction to Probability and Statistics - Maxim Igorevich Sinitsyn - 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 - Wed 3:00PM - 5:00PM
- 02: Peer-Guided Study Group: Introduction to Probability and Statistics - Borislava Miltcheva - Su 12:00PM - 2:00PM
- 03: Peer-Guided Study Group: Introduction to Probability and Statistics - Borislava Miltcheva - Tues 1:00PM - 3:00PM
228-0 Series and Multiple Integrals
- 20: Series and Multiple Integrals - Nicholas Ng - Mon, Wed, Fri 11:00AM - 11:50AM
301-1 Data Science 1 with R
- 20: Data Science 1 with R - Arend Matthew Kuyper - Mon, Wed 12:30PM - 1:50PM
- 21: Data Science 1 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
303-1 Data Science 1 with Python
- 20: Data Science 1 with Python - Lizhen Shi - Mon, Wed 12:30PM - 1:50PM - Fri 7:00PM - 9:00PM
- 21: Data Science 1 with Python - Lizhen Shi - Mon, Wed 5:30PM - 6:50PM - Fri 7:00PM - 9:00PM
- 22: Data Science 1 with Python - Emre Besler - Tues, Thurs 5:00PM - 6:20PM
320-1 Statistical Theory & Methods 1
- 20: Statistical Theory & Methods 1 - Margaret Elizabeth Andrews - Mon, Wed, Fri 12:00PM - 12:50PM
- 21: Statistical Theory & Methods 1 - Margaret Elizabeth Andrews - Mon, Wed, Fri 2:00PM - 2:50PM
344-0 Statistical Computing
- 20: Statistical Computing - Jiping Wang - Tues, Thurs 9:30AM - 10:50AM
350-0 Regression Analysis
- 20: Regression Analysis - Hongmei Jiang - Tues, Thurs 2:00PM - 3:20PM
- 21: Regression Analysis - Feng Ruan - Tues, Thurs 12:30PM - 1:50PM
357-0 Introduction to Bayesian Statistics
- 20: Introduction to Bayesian Statistics - Martin A Tanner - Mon, Wed 9:30AM - 10:50AM
362-0 Advanced Machine Learning for Data Science
- 20: Advanced Machine Learning for Data Science - Lizhen Shi - Mon, Wed 2:00PM - 3:20PM
390-0 Data Science Project
- 20: Data Science Project - Arvind Krishna - Fri 3:00PM - 5:50PM
420-1 Introduction to Statistical Theory & Methodology-1
- 20: Introduction to Statistical Theory & Methodology-1 - Noelle I Samia - Tues, Thurs 2:00PM - 3:20PM
430-1 Probability for Statistical Inference 1
- 20: Probability for Statistical Inference 1 - Miklos Zoltan Racz - Tues, Thurs 2:00PM - 3:20PM
436-0 Reinforcement Learning
- 20: Reinforcement Learning - Bradly Carson Stadie - Tues, Thurs 3:30PM - 4:50PM
450-1 Advanced Statistical Theory I
- 20: Advanced Statistical Theory I - Matey Neykov - Mon, Wed 12:30PM - 1:50PM
456-0 Generalized Linear Models
- 20: Generalized Linear Models - Noelle I Samia - Tues, Thurs 11:00AM - 12:20PM