CS 7290 — Special Topics in Data Science
4 semester hoursGraduateLectureusually offered: springOnlineSilicon Valley, CAOnlineTraditionalrepeatable for credit
Offers special topics in data science, including machine learning, statistics, data mining, parallel and distributed data analysis, database systems, information retrieval, knowledge representation, information visualization, natural language processing, computational biology and bioinformatics, computational social science, digital humanities, health informatics, business, and predictive analytics. May be repeated once for up to 8 total credits.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2024 | 3 | 28 | 45 | 62% | 5.7 |
| Fall 2024 | 1 | 5 | 30 | 17% | 25.0 |
| Spring 2025 | 1 | 14 | 49 | 29% | 35.0 |
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 0% · T 45% · W 45% · Th 11% · F 0%
Common patterns: W (45% of sections), T (45% of sections), R (11% of sections) — in patterns, R means Thursday
Professors
Fall
- Tamara Bonaci (100% of students) · reviews
Spring
- Kenneth Church (50% of students) · reviews
- Omar Alonso (33% of students) · reviews
- Jeongkyu Lee (17% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (CS course descriptions) · Student reviews on RateMyHusky · All CS courses · Plan it at numap.app