Probability
An overview of probability from a non-measure theoretic point of view. Random variables/vectors; independence, conditional expectation/probability and consequences. Various types of convergence leading to proofs of the major theorems in basic probability. An introduction to simple stochastic processes such as Poisson and branching processes.
Prerequisites & course information
Prerequisite: STA247H1 (70%)/ STA255H1 (70%)/ STA237H1 (70%)/ STA257H1 / ECO227Y1 / STAB52H3 / STA256H5 ; MAT223H1 / MAT224H1 / MAT240H1 / MATA22H3 / MATA23H3 / MAT223H5 / MAT240H5 / MATB24H3 / MAT224H5 ; ( MAT235H1 , MAT236H1 )/ MAT235Y1 / MAT237Y1 / MAT257Y1 / ( MATB41H3 , MATB42H3 )/ ( MAT232H5 , MAT236H5 )/ ( MAT233H5 , MAT236H5 ) (Note: STA257H1 , MAT223H1 / MAT240H1 , MAT237Y1 / MAT257Y1 are very strongly recommended); Prerequisite:; Exclusion: MAT370H1 , MAT377H1 , STAC62H3 , STA348H5; Exclusion:
Sources
- Course catalogue ↗2026-2027