Through the entire five week courses, we have learned the full ideas of probability and the data structures to build a R project from 0 to 1. The Behavioral Risk Factor Surveillance System (BRFSS) is ...

This chapter introduces some of the fundamentals of probability theory illustrated by our analysis of a game of dice and coin flip experiments. By analyzing these famil¬iar examples in greater depth, ...

This course provides an introduction to probability models including sample spaces, mutually exclusive and independent events, conditional probability and Bayes' Theorem. The named distributions ...

When is it appropriate to completely reinvent the wheel? To an outsider, that seems to happen a lot in category theory, and probability theory isn’t spared from this treatment. We’ve had a useful ...

PROF. USPENSKY'S treatise on mathematical probability is a very comprehensive one and includes every theoretical aspect of the subject, with several chapters on modern developments. Only those ...

*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.

To manage risk, we must measure it. In this session we take our first steps in the mathematics of chance. We explore expected value, variance, and the variance of averages. The Introduction to ...