ISE-5034: Mathematical Probability and Statistics for Industrial Engineers
Description: One-semester mathematical foundations for graduate study of engineering oriented probability and statistics. Re-introduces probability in a rigorous mathematical fashion and re-introduces mathematical statistics as an application of mathematical probability. Establishes a solid mathematical foundation for the type of probability (and statistics) modeling and analysis that is characteristic of graduate industrial engineering curricula and practice. Pre-requisite: Graduate Standing required.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 13
Average GPA: 3.52 (A-)
Strict A Rate (No A-) : 45.89%
Average Withdrawal Rate: 0.61%
| Michael R Taaffe | 2018 | 78.2% | 18.6% | 1.1% | 2.0% | 0.0% | 0.0% | 3.69 | 4 |
| Ebru K Bish | 2019 | 52.5% | 29.7% | 12.3% | 3.6% | 1.3% | 0.5% | 3.29 | 5 |
| Kwok Tsui | 2023 | 67.8% | 30.9% | 0.0% | 0.0% | 0.0% | 1.3% | 3.62 | 4 |