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.