INFR 1400U – Statistics and Probability for IT

This course introduces the concepts and techniques of statistics and probability theory as applied to information technology and science. Topics include: frequency distributions; graphic presentation of data, basic concepts of probability theory, marginal probability, conditional probability, independence, discrete and continuous random variables; probability distributions; mean and variance; the central limit theorem; statistical inference and estimation, confidence intervals; correlation and regression analysis, examples of application in the field of IT and IS. This course may be offered in a hybrid format with 1.5 hours of lectures and 1.5 hours of online lectures and self-learning material.
Credit hours: 3
Lecture hours: 3
Tutorial hours: 1.5
Prerequisite(s): INFR 1010U and INFR 1016U
Credit restriction(s): INFR 3710U, BUSI 1450U