CS 6220 — Data Mining Techniques
4 semester hoursGraduateLectureusually offered: fall, springBostonOnlinePortland, MaineSeattle, WASilicon Valley, CAOnlineTraditional
Covers various aspects of data mining, including classification, prediction, ensemble methods, association rules, sequence mining, and cluster analysis. The class project involves hands-on practice of mining useful knowledge from a large data set.
Prerequisites
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 4 | 100 | 181 | 55% | 20.3 |
| Spring 2024 | 3 | 119 | 149 | 80% | 10.0 |
| Fall 2024 | 4 | 104 | 204 | 51% | 25.0 |
| Spring 2025 | 3 | 98 | 134 | 73% | 12.0 |
| Fall 2025 | 2 | 82 | 100 | 82% | 9.0 |
| Spring 2026 | 1 | 11 | 30 | 37% | 19.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 6% · T 18% · W 6% · Th 18% · F 16%
Common patterns: async (52% of sections), R (18% of sections), TF (16% of sections), M (6% of sections), W (6% of sections), T (2% of sections) — in patterns, R means Thursday
Professors
Fall
- Sara Arunagiri (42% of students) · reviews
- Mirek Riedewald (29% of students) · reviews
- Karl Ni (11% of students) · reviews
- Everaldo Aguiar (7% of students) · reviews
Spring
- Sara Arunagiri (64% of students) · reviews
- Everaldo Aguiar (12% of students) · reviews
- Karl Ni (9% of students) · reviews
- Yifan Hu (7% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
Courses that list CS 6220 in their prerequisites.
Links
Official catalog (CS course descriptions) · Student reviews on RateMyHusky · All CS courses · Plan it at numap.app