*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Collecting data; summarizing and displaying data; drawing conclusions and making decisions using data; probability background, confidence intervals, hypotheses tests, regression, correlation. Not open ...

Office Hours: Wednesdays 12:30-13:20 or by appointment (make use of office hours - only send email in emergencies). If nobody shows up within the first 10 minutes of my office hour, then I may go ...

A first introduction to probability and statistics. This course will provide background to understand and produce rigorous statistical analysis including estimation, confidence intervals, hypothesis ...

Leveraging Tracking Data to Contextualize the Difficulty of a Throw Not all passes are created equal. A quarterback receives the same credit for a completion whether the pass traveled 60 yards ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

This is an introductory course on statistics and how it can help us answer the kind of questions that arise when we want to better understand the world. We will use real-world examples from the social ...

Basic statistical concepts presented with emphasis on their relevance to biological and medical investigations. Evaluation is through problem sets, quizzes embedded within asynchronous videos, use of ...

Lectures: Mondays, Wednesdays and Fridays - 9:30am in WMC3520 (Sept 3/13 - Dec 2/13) Office Hours: Mondays, Wednesdays and Fridays 10:30-11:30, Sept 13/13 - Dec 15/13) Make use of office hours - only ...