Computer Science · Fall 2026, Winter 2027, Spring 2027, & Summer 2027
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.