OS2103 Applied Probability for Systems Technology
A first course in probability for students in operational curricula. Topics include probability laws and calculation methods, discrete and continuous random variables, expectation, variance, covariance, correlation, computing probabilities and expectations using conditioning, common probability distributions, introduction to probability modeling, and an introduction to statistics. Emphasis is on understanding uncertainty and developing computational skills in probability.
Prerequisite
Single variable differentiation and integration at the
MA1113 level and multiple integration at the
MA1115 level.
Lecture Hours
4
Lab Hours
1