Statistics (STAT)
School of Mathematics and Statistics
Faculty of Science
STAT 2605 [0.5 credit]
Probability Models
Introductory probability theory. Introduction to stochastic modeling, Markov chains and queueing theory. Random number generation and Monte Carlo simulation. Statistical methods for fitting and evaluating models; estimation and testing. Applications to computer system performance evaluation, analysis of algorithms, reliability, search and decision problems.
Restricted to students in the Bachelor of Computer Science, Computer Mathematics and Computer Statistics programs.
Precludes additional credit for
STAT 3502,
MATH 2600 and
STAT 2655.
Prerequisites:
MATH 2007 (or
MATH 1002) and
MATH 1104 (or
MATH 1107).
Lectures three hours a week and one hour tutorial.