INTRODUCTION TO THE THEORY OF PROBABILITY

MATH/STAT 431

Course Description

Topics covered include axioms of probability, random variables, the most important discrete and continuous probability distributions, expectation and variance, moment generating functions, conditional probability and conditional expectations, multivariate distributions, Markov's and Chebyshev's inequalities, laws of large numbers, and the central limit theorem.

Prerequisties

MATH 234 or MATH 376 or graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program

Satisfies

BME/MEDPHYS 574 , MATH/STAT 310 , MATH 616 , ACTSCI 650 , CIVENGR 570 , ISYE 350 , ISYE/PSYCH 349 , CIVENGR 516 , ISYE/MATH/OTM/STAT 632 , ISYE/ME 512 , ISYE/NE 574 , RMI 655 , MATH/STAT 309 , GENBUS 317 , ISYE 412 , STAT 461 , STAT 312 , ECE/ISYE 570 , RMI 660 , MATH 535 , COMPSCI 566 , ISYE 320 , ISYE 615 , CIVENGR 572 , ISYE 624 , OTM 453 , ISYE 315 , ISYE 516 , ECON/FINANCE 300 , COMPSCI 541 , ECON 400 , ISYE 521 , STAT 311 , ISYE 517 , and COMPSCI/ECE 561

Credits

Offered

Fall, Spring, Summer

Grade Point Average

2.96

1.42% from Historical

Completion Rate

92%

0.81% from Historical

A Rate

36%

17.64% from Historical

Class Size

125

12.41% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

SARAH TAMMEN

[email protected]

2.7

Rating

CHENXI WU

[email protected]

1.6

Rating

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