STAT131: Introduction to Probability Theory

Introduction to probability theory and its applications. Combinatorial analysis, axioms of probability and independence, random variables (discrete and continuous), joint probability distributions, properties of expectation, Central Limit Theorem, Law of Large Numbers, Markov chains. Students cannot receive credit for this course and course 203 and Computer Engineering 107.

5 credits

Year	Fall	Winter	Spring	Summer
2024-25	Section 01 Bruno Sansó (bsanso) Section 02 Juhee Lee (jle297)	Section 02 Marcela Alfaro-Córdoba (macordob) Section 01 Richard Li (zli439)	Section 01 Sangwon Hyun (shyun2) Section 02 Yunan Wang (ywan1334)
2023-24	Section 01 Sheng Jiang (sjiang45) Section 02 Sangwon Hyun (shyun2)	Section 01 Sangwon Hyun (shyun2) Section 02 Paul Parker (pparker1)	Section 01 Sheng Jiang (sjiang45)	Section 01 Staff
2022-23	Section 01 Bruno Sansó (bsanso)	Section 01 Richard Li (zli439) Section 02 Marcela Alfaro-Córdoba (macordob)	Section 01 Juhee Lee (jle297)	Section 01 David Draper (draper) Session 2 - Online
2021-22	Section 01 Bruno Sansó (bsanso) Section 02 Marcela Alfaro-Córdoba (macordob)	Section 02 Marcela Alfaro-Córdoba (macordob) Section 01 Sheng Jiang (sjiang45)	Section 01 Sheng Jiang (sjiang45)	Section 01 David Draper (draper) Session 1 - Online/Remote Section 02 David Draper (draper) Session 2 - Online/Remote
2020-21		Section 01 Raquel Prado (rprado)	Section 01 David Draper (draper)	Section 01 David Draper (draper) Session 1 Section 02 David Draper (draper) Session 2

Comments

Formerly AMS 0131

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