Course description

A rigorous foundation in theory combined with the methods for modeling, analyzing, and controlling randomness in engineering problems. Probabilistic ideas are used to construct models for engineering problems, and statistical methods are used to test and estimate parameters for these models. Specific topics include random variables, probability distributions, density functions, expectation and variance, multidimensional random variables, and important distributions including normal, Poisson, exponential, hypothesis testing, confidence intervals, and point estimation using maximum likelihood and the method of moments.

Prerequisites

ENGRD 2700 or equivalent.

No upcoming classes were found.

Previously offered classes

Summer 2022: Ithaca campus

Section ID:ORIE 3500 001-LEC
Number:1528
Session:Summer Extra-session
Class dates:May 31-July 8, 2022
Time / room:M-F 11:30 AM - 12:45 PM / Upson Hall 216
Mode of instruction:In person
Credit:4
Related:ORIE 3500 201-DIS
Related:Co-offered with : ORIE 5500 001-LEC

Summer 2022: Ithaca campus

Section ID:ORIE 3500 201-DIS
Number:1529
Session:Summer Extra-session
Class dates:May 31-July 8, 2022
Final exam/project due:TBA (see Final exams)
Time / room:TR 2:30 PM - 4:30 PM / Upson Hall 216
Mode of instruction:In person
Credit:0
Grade:Graded (no audit)
Instructor:TBA
Max. enroll:30
Related:You will be auto-enrolled in ORIE 3500 001-LEC
Related:Co-offered with : ORIE 5500 201-DIS
To enroll:Enrollment for this class is closed.