3 units
- Elective Courses (9 Units Selected From)
- Elective Courses
- Foundational AI Area of Study Elective Courses
- Areas of Study
Offered: Summer 2027 (not offered), Spring 2027 (unknown), Fall 2026 (offered)
Counts toward
- Artificial Intelligence and Technology, M.S. (2026-27) - Foundational AI Area of Study Elective Courses
- Computational Science, Data Science Concentration, M.S. (2026-27) - Elective Courses (9 Units Selected From)
- Computational Science, M.S. (2026-27) - Elective Courses
- Computer Science, M.S. (2026-27) - Areas of Study
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.
Prerequisites
CS 577 or CS 549, graduate standing or consent of instructor.
Unclear. This wording is not something we can check for you. Read it above and confirm with an adviser.
See the full prerequisite chainFrom the catalog
- Who can take it
- CS 577 or CS 549, graduate standing or consent of instructor.
- Grading
- LTR: Letter Graded. The class will be offered for letter grade with no option to take it for Cr/NC
0 sections in Spring 2027
CS 677 is not offered in Spring 2027. Check all CS classes for other terms.