Lecture
Found Data Sci in Env
Course and term details
- Sequence
- 01
- Part of term
- 1
- Term
- Fall 2026
- Delivery
- Traditional
- Delivery code
- TR
- Linked section
- No
- Open section
- Yes
Fall 2026
ENR4890 CRN 13443Found Data Sci in Env
LectureMainAikens, Ellen OTue Thu 9:35 a.m. – 10:50 a.m.
Section data from the UW course catalog via uwyoschedule. Confirm seats and meeting times in WyoWeb before you register.
Schedule
Tue, Thu
9:35 a.m. – 10:50 a.m.
Corbett PE Bldg 103
08/31/2026 – 12/11/2026
Meeting type
Class · LEC
Faculty
Aikens, Ellen OPrimary
eaikens@uwyo.edu
Seats
22
open of 30 seats
Enrollment and waitlist
- Enrollment
- 8
- Maximum enrollment
- 30
- Seats available
- 22
- Wait capacity
- 10
- Wait count
- 0
- Wait seats available
- 10
Course description
Special topics in environment and natural resources are offered under this number. The specific subject matter varies each year because the course is normally taught by faculty who wish to present a specialized topic of interest to ENR and other students. Check class schedule for specific topics offered each year. Dual listed with ENR 5890. Prerequisite: ENR 3000.
Credits
3
TO
All credit fields
- Credit hours
- 3
- Credit range
- 1–6
- Credit indicator
- TO
Section information
Students will gain exposure to data management and data visualization techniques, using example datasets relevant to the Env. System Sciences program. The goal of this course is to increase data literacy of students and to prepare them for more complex data analysis and data science coursework (e.g., Analysis of Nature’s data, Environmental Data Analysis). This course will provide a slow-paced introduction to these topics in the R programming language.
Attributes
2
TPR1 · Program Fees - Haub School ENR
Full attribute list
- TPR1
Program Fees - Haub School ENR
- TUG0
Tuition - less than 5000-level
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