# MA Kouritzin

## Contact

##### Professor, Faculty of Science - Mathematics & Statistical Sciences

- michaelk@ualberta.ca

## Overview

### Research

**Areas**

Stochastic Processes, Probability Theory and Applications

## Courses

### STAT 371 - Probability and Stochastic Processes

Problem solving of classical probability questions, random walk, gambler's ruin, Markov chains, branching processes. Selected topics of the instructor's choice. Prerequisite: STAT 265. Note: Credit can be obtained in at most one of MATH 281 or STAT 371.

### STAT 471 - Probability I

Probability spaces, algebra of events. Elements of combinatorial analysis. Conditional probability, stochastic independence. Special discrete and continuous distributions. Random variables, moments, transformations. Basic limit theorems. Prerequisite: One of STAT 371 or MATH 281.

### STAT 571 - Probability and Measure

Measure and integration, Laws of Large Numbers, convergence of probability measures. Conditional expectation as time permits. Prerequisites: STAT 471 and STAT 512 or their equivalents.