*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.

An introduction to probability theory and statistical methods especially as they relate to public policy. The course will consist of a brief introduction to probability theory as well as various ...

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 ...

This course introduces students to statistics and quantitative information. The course surveys probability theory, hypothesis testing, descriptive statistics and visualizations, and inferential ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

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

Economics is the study of the allocation of scarce resources. The subject of this course is microeconomics, which examines the decision making of individuals and firms with regard to consumption, ...

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 ...

Extra Help: The Statistics Workshop is run by Marie Loughin and she can be contacted through email at [email protected]. The Statistics Workshop is an excellent resource for STAT 270. The workshop is ...