This course focuses on ethical considerations in collecting, using, and reporting environmental data, and how to recognize and account for biases in algorithms, training data, and methodologies. Students also examine the human and societal implications of these issues within environmental data science.

No Prerequisites

2

Units

Letter

Grading

1, 2, 3

Passtime

Graduate students only

Level Limit

Environmental science

College
These majors only eds
T B A
No info found
Fall 2024 . Quintana A C
BREN 1424
W
12:30 PM - 13:45 PM
See All
EDS 242 Quintana A C Fall 2024 Total: 30
EDS 242 Montague D K Fall 2023 Total: 31
EDS 220
5 / 36 Enrolled
Working with Environmental Data
Galaz-Garcia
T R
09:30 AM - 10:45 AM
86.9% A
EDS 222
5 / 36 Enrolled
Statistics for Environmental Data Science
Czapanskiy M
M W
09:30 AM - 10:45 AM
69.4% A
EDS 223
7 / 36 Enrolled
Geospatial Analysis and Remote Sensing
Adams A R
T R
08:00 AM - 09:15 AM
91.1% A