ISE-2024: Probability Foundations for Industrial and Systems Engineers
Description: Introduction to the mathematical foundations of probability theory for industrial engineers. Understanding of probability as a model for real phenomena, with applications of probability in an industrial engineering context. Review of set theory, counting (permutations and combinations), definition of probability axioms, sample spaces, random variables, independence, probability distribution functions, probability mass or density functions, expectations, moment-generating functions, joint and conditional random vectors and distributions, and distributions of functions of random variables, central limit theorem.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 12
Average GPA: 3.27 (rounds to B+)
Strict A Rate (No A-) : 34.61%
Average Withdrawal Rate: 1.76%
| Toy Esra Buyuktahtakin | 2023 | 60.0% | 33.0% | 5.6% | 0.0% | 1.4% | 0.0% | 3.46 | 2 |
| Michael R Taaffe | 2022 | 45.1% | 38.1% | 11.6% | 0.9% | 1.6% | 2.7% | 3.25 | 5 |
| Yingyan Zeng | 2023 | 40.4% | 30.9% | 21.4% | 2.4% | 4.8% | 0.0% | 2.91 | 1 |
| Staff Khodadadian | 2024 | 38.9% | 31.8% | 23.1% | 1.3% | 1.3% | 3.8% | 3.06 | 2 |
| Tai Jung Chen | 2022 | 50.0% | 26.9% | 15.3% | 5.8% | 1.9% | 0.0% | 3.20 | 1 |
| Ruochen Wang | 2024 | 81.8% | 14.5% | 3.6% | 0.0% | 0.0% | 0.0% | 3.77 | 1 |