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Mar 12, 2026
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CS 3661 - Foundations of Data Science [3]
This course is repeatable: No
Total # of units allowed for credit: 3
Max times this course can be taken for credit: 1
Max # of units may be repeated: 0
Course Description: Introduction to the tools and techniques for extracting knowledge from data and its use for prediction, decision-making, and data visualization in societal contexts. Emphasis on practical and hands-on applications.
Credit Hours Per Week: 3 lecture hour(s)
Grading: ABCDF
Mode of Delivery: Hybrid
Campus: Main Campus
Cross-Listing and/or Equivalent Course(s): None
Needs Permission to Enroll: No
GE until Summer 2025: UD Block B - Natural Science and Quantitative Reasoning
GE effective Fall 2025: Upper Division Area 2 or 5 - Mathematical Concepts & Quantitative Reasoning or Physical & Biological Sciences
University Requirement Designation(s): (cl) Civic Learning and Community Engagement
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