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: 6
Average GPA: 3.69 (rounds to A-)
Strict A Rate (No A-) : 51.34%
Average Withdrawal Rate: 0.88%
| Kwok Tsui | 2023 | 67.8% | 30.9% | 0.0% | 0.0% | 0.0% | 1.3% | 3.62 | 4 |
| Ebru K Bish | 2019 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 4.00 | 1 |
| Huaiyang Zhong | 2024 | 83.3% | 11.2% | 0.0% | 5.6% | 0.0% | 0.0% | 3.67 | 1 |