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DSC 384

Design Principles and Causal Inference

The University of Texas at Austin 3 credits Data Science

Course Description

Explore the field of "big data" and the rigors of determining applicable design structures from that data. Examine classic design structures, non-typical data structures and novel design processes, and causal inference, and explore data-based decision making. The equivalent of three lecture hours a week for one semester. Pre/Corequisites: Graduate standing and Data Science 381.

Code
DSC 384
Credits
3
Subject
Data Science

Programs That Include This Course

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