Lecture
Data Analytics for Energy
Course and term details
- Sequence
- 01
- Part of term
- 1
- Term
- Fall 2026
- Linked section
- No
- Open section
- Yes
Fall 2026
PETE4130 CRN 15000Data Analytics for Energy
LectureMainTime TBA
Section data from the UW course catalog via uwyoschedule. Confirm seats and meeting times in WyoWeb before you register.
Schedule
Days TBD
08/31/2026 – 12/11/2026
Meeting type
Remote Web/Video · LEC
Seats
20
open of 20 seats
Enrollment and waitlist
- Enrollment
- 0
- Maximum enrollment
- 20
- Seats available
- 20
- Wait capacity
- 0
- Wait count
- 0
- Wait seats available
- 0
Course description
This course will provide students with the fundamental concepts of data mining and machine learning methodologies and hands-on experience on applying cutting-edge tools and techniques to solve real-world challenges within the energy sector, such as optimizing energy production, forecasting demand, and enhancing operational efficiency. Prerequisites: PETE 4110 and PETE 4120 Dual Listed: EPE 5130.
Credits
3
3
All credit fields
- Credit hours
- 3
- Credit range
- 3
Attributes
1
TPN1 · Program Fees - Engineering
Full attribute list
- TPN1
Program Fees - Engineering
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