Computer Science · Fall 2026
SDSU CS 677 — Data Quality Assurance
Introduction to the principles of data quality assurance, including data profiling, cleansing, anomaly detection, and quality constraints. Emphasis on data dialects, machine learning for noise cancellation and anomaly detection, and ethical considerations in data-driven decision-making.
Course requirements
Prerequisites: CS 577 or CS 549, Graduate standing or consent of instructor.
- CS 577 or CS 549, Graduate standing or consent of instructor.
Fall 2026 enrollment options
Seat status can change| Class # | Format | Status | Seats | Time | Location | Professor | RateMyProfessors |
|---|---|---|---|---|---|---|---|
| 10808 Lrg Lect | In person | Open | 26 / 60 | Tue/Thu 3:30 PM–4:45 PM | AH 3110 | Hajar Homayouni | 3.2/5 · 9 reviews Difficulty 2.7 · 78% take again |