STAT 351 Probability I
Probability theory; probability models; random variables; jointly distributed random variables; transformations and generating functions. Inequalities and limit laws. Distributions: binomial, Poisson, exponential, gamma, normal. Applications: elementary stochastic processes, time-to-failure models, binary communication channels with Gaussian noise.
Concurrent Education Degree Requirements
...Mathematics Any MATH or STAT are acceptable. Note...641 Science-Physics CURR 351 CURR 352 CURR...
...level. The MATH and STAT Joint Honours Plans...251; COMM 333; COMM 351; COMM 352 (Computing...