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.

This course is offered for the Co-op program. Students not participating in the Co-op program are welcome to enroll assuming prerequisites are met. This course is subject to cancellation if there is no Co-op student enrollment and extremely low enrollment

Prerequisites

ENGRD 2700 or equivalent. Non-Cornell students must get permission of instructor to enroll.

Classes

No upcoming classes were found.

Previously offered classes

Summer 2020: Online course

Section ID:ORIE 5500 001-LEC
Number:1466
Class dates:May 26-July 2, 2020
Due date:Thursday July 02, 11:59 PM (see Final exams)
Time / room:M-F 11:30 AM - 12:45 PM / Other, Off-Campus
Mode of instruction:Synchronous distance learning
Credit:4
Grade:Graded
Instructor:Sarkar, R. (rs2466)
Max. enroll:30
  This is an online course. Please review the online course FAQs.
Related:You will be auto-enrolled in ORIE 5500 201-DIS
Related:Co-offered with : ORIE 3500 001-LEC
To enroll:Enrollment for this class is closed.

Summer 2020: Online course

Section ID:ORIE 5500 201-DIS
Number:1467
Class dates:May 26-July 2, 2020
Time / room:TR 2:30 PM - 4:30 PM / Other, Off-Campus
Mode of instruction:Synchronous distance learning
Credit:0
  This is an online course. Please review the online course FAQs.
Related:ORIE 5500 001-LEC
Related:Co-offered with : ORIE 3500 201-DIS