ISE-2034: Data Management for Industrial and Systems Engineers
Description: Investigation of data modeling, storage, acquisition, and utilization in industrial and systems engineering. Development of effective spreadsheet applications. Design and implementation of relational databases via entity-relationship modeling, relational schema, normalization, and queries. Structured query language (SQL) fundamentals and SQL relational databases. Overview of non-relational databases, Big Data, and Data Analytics. All topics covered within the context of typical industrial and systems engineering problems.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 31
Average GPA: 3.41 (A-)
Strict A Rate (No A-) : 41.23%
Average Withdrawal Rate: 0.65%
| Kenneth R Edmison | 2016 | 24.7% | 51.9% | 20.5% | 2.0% | 0.4% | 0.5% | 2.97 | 7 |
| Hongyue Sun | 2016 | 72.7% | 18.1% | 9.0% | 0.0% | 0.0% | 0.0% | 3.65 | 1 |
| Laura E Savage | 2020 | 83.2% | 9.2% | 6.1% | 0.0% | 1.5% | 0.0% | 3.71 | 3 |
| Xiaowei Yue | 2020 | 61.6% | 32.4% | 3.0% | 0.8% | 0.5% | 1.7% | 3.54 | 4 |
| Van Phuc Nguyen | 2024 | 65.9% | 23.9% | 8.5% | 0.0% | 0.7% | 1.0% | 3.57 | 5 |
| Koohi Staff Badri | 2018 | 60.3% | 30.7% | 5.8% | 1.8% | 1.4% | 0.0% | 3.51 | 2 |
| Emily M Howard | 2017 | 62.5% | 29.9% | 7.1% | 0.0% | 0.7% | 0.0% | 3.58 | 2 |
| Shingirai C Kwaramba | 2022 | 51.2% | 37.6% | 5.8% | 2.7% | 1.8% | 0.8% | 3.39 | 6 |
| Staff Peveler | 2015 | 71.5% | 28.6% | 0.0% | 0.0% | 0.0% | 0.0% | 3.63 | 1 |