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: 3 lecture hour(s)

Grading: ABCDF
Mode of Delivery: Hybrid
Campus: Main Campus
Cross-Listing and/or Equivalent Course(s): None
Prerequisite(s): Completion of GE 4 basic subjects and a course each from lower division Blocks B, C and D.
Needs Permission to Enroll: No
Special Fee Applied: No

GE UD B (cl)

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CS 3661 - Foundations of Data Science