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: 17
Average GPA: 3.49 (rounds to B+)
Strict A Rate (No A-) : 47.00%
Average Withdrawal Rate: 0.99%
| Van Phuc Nguyen | 2024 | 69.2% | 19.9% | 9.5% | 0.0% | 0.6% | 0.8% | 3.59 | 6 |
| Shingirai C Kwaramba | 2022 | 51.2% | 37.6% | 5.8% | 2.7% | 1.8% | 0.8% | 3.39 | 6 |
| Xiaowei Yue | 2020 | 61.6% | 32.4% | 3.0% | 0.8% | 0.5% | 1.7% | 3.54 | 4 |
| Laura E Savage | 2020 | 68.2% | 9.1% | 18.2% | 0.0% | 4.5% | 0.0% | 3.32 | 1 |