3 units
- Elective Courses (9 Units Selected From)
- Elective Courses
- Other Elective Courses
- Areas of Study
Offered: Summer 2027 (not offered), Spring 2027 (offered), Fall 2026 (unknown)
Counts toward
- Artificial Intelligence and Technology, M.S. (2026-27) - Other 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
This course covers the design and analysis of algorithms and machine learning in computational models that capture the computation of massive data such as streaming, sublinear, and parallel models.
Prerequisites
CS 460 or CS 660 or Graduate standing in Computer Science or consent of instructor.
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See the full prerequisite chainFrom the catalog
- Who can take it
- CS 460 or CS 660 or Graduate standing in Computer Science or consent of instructor.
- Grading
- LCR: Letter Grade with Cr/NC available. The grading default for the class will be letter grade, but students can opt to take it for Cr/NC
- Typically offered
- Spring