The generation and analysis of environmental data is often a complex, multi-step process that may involve the collaboration of many people. Increasingly tools that document help to organize and document workflows are being used to ensure reproducibility and transparency of the results. This course introduces students to conceptual organization of workflows as a way to conduct reproducible analyses, as well as various software tools that help users to manage multi-step processes that requires tools for storing, managing and sharing workflows, code, documents and data, including GitHub, Pegasus, remake and Kepler.

No Prerequisites

2

Units

Letter

Grading

1, 2, 3

Passtime

Graduate students only

Level Limit

Environmental science

College
These majors only eds
CZAPANSKIY M
No info found
Summer 2024 . Brun J
NCEAS0100
M T W R F
09:00 AM - 17:00 PM
See All
EDS 214 Brun J Summer 2023 Total: 31
EDS 214 Brun J Summer 2022 Total: 31
EDS 212
0 / 30 Enrolled
Essential Math for Environmental Data Science
Oliver R Y
M T W R F
09:00 AM - 17:00 PM
EDS 217
0 / 30 Enrolled
Python for Environmental Data Science
Caylor K K
M T W R F
09:00 AM - 17:00 PM
EDS 221
0 / 30 Enrolled
Scientific Programming Essentials
Oliver R Y
M T W R F
09:00 AM - 17:00 PM