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 2023: Online course

Section ID:ORIE 5500 001-LEC
Number:1268
Session:Summer Extra-session
Class dates:May 30-July 7, 2023
Time / room:M-F 8:30 AM - 10:15 AM / Online
Mode of instruction:Online (sync)
Credit:4
Instructor:Grigorian, K. (kgg44)
Related:ORIE 5500 201-DIS
Related:Co-offered with : ORIE 3500 001-LEC
To enroll:

See Online Learning FAQs.

Summer 2023: Online course

Section ID:ORIE 5500 201-DIS
Number:1269
Session:Summer Extra-session
Class dates:May 30-July 7, 2023
Final exam/project due:TBA (see Final exams)
Time / room:TR 2:20 PM - 4:30 PM / Online
Mode of instruction:Online (sync)
Credit:0
Grade:Graded
Instructor:TBA
Max. enroll:25
Related:You will be auto-enrolled in ORIE 5500 001-LEC
Related:Co-offered with : ORIE 3500 201-DIS
To enroll:Enrollment for this class is closed.

See Online Learning FAQs.