Data Science for Geoscience
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Course Description
This course provides an overview of the most relevant areas of data science to address geoscientific challenges and questions as they pertain to the environment, earth resources & hazards. The focus lies on the methods that treat common characters of geoscientific data: multivariate, multi-scale, compositional, geospatial and space-time. In addition, the course will treat those statistical method that allow a quantification of the human dimension by looking at quantifying impact on humans (e.g. hazards, contamination) and how humans impact the environment (e.g. contamination, land use). The course focuses on developing skills that are not covered in traditional statistics and machine learning courses.
Cross Listed Courses
Grading Basis
ROP - Letter or Credit/No Credit
Min
3
Max
3
Course Repeatable for Degree Credit?
Yes
Total Units Allowed for Degree Credit
9
Course Component
Lecture
Enrollment Optional?
No
This course has been approved for the following WAYS
Applied Quantitative Reasoning (AQR)
Does this course satisfy the University Language Requirement?
No
Programs
GEOLSCI6
is a
completion requirement
for: