INTRODUCTION TO THE THEORY OF PROBABILITY

Name: INTRODUCTION TO THE THEORY OF PROBABILITY
Availability: OutOfStock
Rating: 3.7 (4019 reviews)

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.

Prerequisites

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

Satisfies

ISYE 516 , STAT 312 , ISYE 412 , ISYE/MATH/OTM/STAT 632 , ACTSCI 650 , GENBUS 317 , ISYE/NE 574 , ISYE 615 , MATH 616 , MATH/STAT 309 , ISYE/PSYCH 349 , ISYE 320 , OTM 453 , ISYE 315 , ISYE/ME 512 , BMI/COMPSCI 567 , RMI 655 , ECON/FINANCE 300 , ISYE 517 , ISYE 521 , RMI 660 , STAT 311 , MEDPHYS 674 , ECON 400 , STAT 461 , COMPSCI 566 , CIVENGR 572 , CIVENGR 570 , CIVENGR 516 , COMPSCI/ECE 561 , ECE/ISYE 570 , COMPSCI 541 , MATH/STAT 310 , MATH 535 , ISYE 350 , and ISYE 624

Credits

Not Reported

Offered

Not Reported

Grade Point Average

3.14

7.25% from Historical

Completion Rate

95.28%

4.25% from Historical

A Rate

36.22%

17.68% from Historical

Class Size

127

13.76% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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