STA247H1: Probability with Computer Applications


Introduction to the theory of probability, with emphasis on applications in computer science. The topics covered include random variables, discrete and continuous probability distributions, expectation and variance, independence, conditional probability, normal, exponential, binomial, and Poisson distributions, the central limit theorem, sampling distributions, estimation and testing, applications to the analysis of algorithms, and simulating systems such as queues (Note: STA247H1 does not count as a distribution requirement course).


( MAT135H1, MAT136H1)/ MAT137Y1/​ MAT157Y1/​(MATA30H3, MATA36H3)/(MATA31H3, MATA37H3)/MAT135Y5/MAT137Y5/MAT157Y5; CSC108H1/​ CSC148H1/​CSCA08H3/CSCA48H3/CSC108H5/CSC148H5


ECO227Y1/​ STA255H1/​ STA257H1/​STAB52H3/STA256H5/ECO227Y5

Breadth Requirements: 
The Physical and Mathematical Universes (5)