ORIE 5500 Eng Probability and Statistics: Modeling and Data Science II
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.
Summer 2025: Online course

Visiting Lecturer, Operations Research and Information Engineering
Section ID: | ORIE 5500 001-LEC |
Number: | 1206 |
Session: | Extra-session |
Class dates: | May 27-July 7, 2025 |
Mode of instruction: | Online (sync) |
Days / times: | M-F 10 AM - 11:15 AM |
Final exam/project due: | Monday July 07, 10 AM - 11:15 AM (see Final exams) |
Credit: | 4 |
Instructor: | Chazal, M. (mc969) |
Related: | ORIE 5500 201-DIS |
Related: | Co-offered with : ORIE 3500 001-LEC |
To enroll: |
See Online Learning FAQs. |
Summer 2025: Online course

Visiting Lecturer, Operations Research and Information Engineering
Section ID: | ORIE 5500 201-DIS |
Number: | 1207 |
Session: | Extra-session |
Class dates: | May 27-July 7, 2025 |
Mode of instruction: | Online (sync) |
Days / times: | TR 1 PM - 3 PM |
Final exam/project due: | (see Final exams) |
Credit: | 0 |
Grade: | Graded |
Instructor: | Chazal, M. (mc969) |
Max. enroll: | 25 |
Related: | You will be auto-enrolled in ORIE 5500 001-LEC |
Related: | Co-offered with : ORIE 3500 201-DIS |
To enroll: | Register now
See Online Learning FAQs. |