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Ecampus Schedule of Classes - Fall 2026
ECE 547 – Data Science for the Contemporary Power Grid (4)
Examine the principles and applications of data science in modern power grid operations. Apply statistical analysis, predictive analytics, data visualization, and machine learning techniques including supervised and unsupervised learning to real-world power system challenges. Emphasize how data-driven approaches enhance grid reliability, resilience, and safety through improved decision-making and data analysis. This course may be subject to Enforced Prerequisites that restrict registration into the course. Check the offerings below for more information.
For more information, contact OSU Ecampus at 800-667-1465 (option 1) or ecampus.ess@oregonstate.edu.
Continue to Registration.
| Term | CRN | Sec | Cr | P/N | Instructor | Type | Status | Cap | Avail | WL Cap | WL Avail |
|---|---|---|---|---|---|---|---|---|---|---|---|
| F26 | 19400 | 400 | 4 | Zhu, X. | Online | Open | 25 | 25 | 0 | 0 | |
| Registration Restrictions College Limitations: +16 (Engr) Level Limitations: +02 (Graduate) | |||||||||||
| Class Notes: This course requires online proctored testing, which mayinclude testing fees and the use of security measures,such as a scan of your testing environment and the requiredinstallation of a desktop application. Please carefullyreview online proctored test information at: | |||||||||||
| Syllabus: Available in Canvas to students enrolled in this course. | |||||||||||
View ECE 547 for all available terms
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