This course is the first part of a two-semester sequence with MAT 314, with a focus on basic probability. It covers descriptive statistics, sample spaces and events, axioms of probability, counting ...

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

John Morgan/ CC BY-NC 2.0 Probability and Calculus III are both upper level math courses offered at Hopkins. Everything related to my life somehow ties its way back to math nowadays. For example, this ...

In this section, we'll take a little time to "get our math on" with some basic probability. You're going to start with some basic set theory and look at how to operate on related sets using Python.

This lively introductory text exposes the student in the humanities to the world of discrete mathematics. A problem-solving based approach grounded in the ideas of George Pólya are at the heart of ...

Introduction to probability, random processes and basic statistical methods to address the random nature of signals and systems that engineers analyze, characterize and apply in their designs. It ...

Course Description: Generating functions, discrete and continuous versions of Poisson and Markov processes, branching and renewal processes, introduction to stochastic calculus and diffusion. Course ...