Fall 2013 – Summer 2014
Mathematics & Statistics (Sci) : Geometric vectors in low dimensions. Lines and planes. Dot and cross product. Linear equations and matrices. Matrix operations, properties and rank. Linear dependence and independence. Inverses and determinants. Linear programming and tableaux. Sample space, probability, combination of events. Conditional probability and Bayes Law. Random sampling. Random variables and common distributions.
Terms: Winter 2014
Instructors: Sidney Trudeau, William J Anderson (Winter)