COMP 541: DATA MINING
California State University, Northridge
Prerequisites: COMP 380/L or equivalent; MATH 340 or MATH 341 or equivalent. Recommended Preparatory: Knowledge of Python programming. A study of the concepts, theories, techniques, and applications of data mining. Topics include data collection, data exploration, data preprocessing, data warehousing, OLAP, data modeling, model evaluation and deployment. Various data mining modeling techniques such as frequent pattern mining and clustering methods are addressed. Students will apply data mining techniques to solve problems in different applications (such as healthcare, science, engineering, manufacturing, energy, transportation, agriculture, government, and education).
Average GPA: 3.52
Grade distribution records: 1,018 students across 15 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 496 | 48.7% |
| A- | 186 | 18.3% |
| B+ | 93 | 9.1% |
| B | 137 | 13.5% |
| B- | 33 | 3.2% |
| C+ | 16 | 1.6% |
| C | 27 | 2.7% |
| C- | 4 | 0.4% |
| D+ | 1 | 0.1% |
| D | 6 | 0.6% |
| D- | 3 | 0.3% |
| F | 16 | 1.6% |
Based on 1,018 student grade records across 15 terms and 5 professors.
Instructors
- Taehyung Wang 367 students, Average GPA 3.51
- Vanessa I Klotzman 231 students, Average GPA 3.64
- Mansoureh Lord 121 students, Average GPA 2.93
- Ruobin Qi 106 students, Average GPA 3.71
- Mohammed F Abdelrahim 89 students, Average GPA 3.88