Topics
Durham
Engineering&Physical Sciences::Computer Science
Credits: 4.0
Class Size: 25
Term:
Spring 2025
-
Full Term (01/21/2025
-
05/05/2025)
CRN:
56457
Grade Mode:
Letter Grading
Material not normally covered in regular course offerings. May be repeated for credit.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors:
Matthew Magnusson
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
1/21/2025 | 5/5/2025 | MWF | 1:10pm - 2:00pm | MORSE 217 |
Final Exam5/13/2025 | 5/13/2025 | T | 3:30pm - 5:30pm | MORSE 217 |
Additional Course Details:
This course will be DATA 675: A second course in predictive and prescriptive analytics. Time series analysis and model ensembles. Bootstrapping, simulation, optimization. Monte Carlo methods. Project-based, with an emphasis on collaborative experiential learning. Statistical software will be used and programming required.
Prerequisite(s): DATA 674 with a minimum grade of D-.
Grade Mode: Letter Grading