Data-driven Decision Making

ENGR-6200

Students frame questions and problems in forms that can be analyzed using data analytic tools. Students use data wrangling and preparation methods to prepare for analysis. Students use analytical tools to evaluate analytic models using linear/nonlinear multivariate methodologies. Students validate results and develop algorithms that can be used to make recommendations and forecasts. Students work with stakeholders to scope and frame questions and problems so that actionable results can be achieved.

3 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Data-driven Decision Making (3c)
  • Stefanie Gwen Reay
Seats Taken: 16/25
Data-driven Decision Making (3c)
Seats Taken: 0/25
Data-driven Decision Making (3c)
Seats Taken: 0/25
2022
Data-driven Decision Making (3c)
  • Aric W. Krause
Seats Taken: 9/25
Data-driven Decision Making (3c)
  • Stefanie Gwen Reay
Seats Taken: 12/20
Data-driven Decision Making (3c)
  • Stefanie Gwen Reay
Seats Taken: 3/20
2021
Data-driven Decision Making (3c)
  • Karon Marinka Natale
Seats Taken: 10/25
Data-driven Decision Making (3c)
  • Karon Marinka Natale
Seats Taken: 14/20
Data-driven Decision Making (3c)
  • Aric W. Krause
Seats Taken: 6/20
2020
Data-driven Decision Making (3c)
  • Karon Marinka Natale
Seats Taken: 13/20
Data-driven Decision Making (3c)
  • Karon Marinka Natale
Seats Taken: 6/20
Data-driven Decision Making (3c)
  • Karon Marinka Natale
Seats Taken: 20/20
2019
Data-driven Decision Making (3c)
  • Karon Marinka Natale
Seats Taken: 11/20
Data-driven Decision Making (3c)
  • Karon Marinka Natale
Seats Taken: 8/20
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