MA Kouritzin

Professor, Faculty of Science - Mathematics & Statistical Sciences


Professor, Faculty of Science - Mathematics & Statistical Sciences




Stochastic Processes, Probability Theory and Applications


MATH 209 - Calculus III

Partial differentiation, derivatives of integrals. Multiple integration using rectangular, cylindrical, and spherical coordinates. Vector Field Theory. Prerequisite: MATH 101. Prerequisite or corequisite: MATH 102. Notes: (1) This course may not be taken for credit if credit has already been obtained in MATH 215 or 317. (2) Students in all sections of this course will write a common final examination. (3) Restricted to Engineering students. Non-Engineering students who take this course will receive *3.0.

Fall Term 2020
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.

Winter Term 2021

Browse more courses taught by MA Kouritzin