Rsrch Computing Earth Sci
2:40pm–3:55pm
SCHERMERHORN HALL SCH 558 EXT
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
Prerequisites: Graduate student status, calculus, or instructor permission Priority given to first year PhD students in the Department of Earth and Environmental Sciences. Computing has become an indispensable tool for Earth Scientists. This course will introduce incoming DEES PhD students to modern computing software, programming tools and best practices that are broadly applicable to carrying out research in the Earth Sciences. This includes an introduction to Unix, programming in three commonly used languages (Python, MATLAB and Fortran), version control and data backup, tools for visualizing geoscience data and making maps. Students will learn the basics of high performance computing and big data analysis tools available on cluster computers. Student learning will be facilitated through a combination of lectures, in-class exercises, homework assignments and class projects. All topics will be taught through example datasets or problems from Earth Sciences. The course is designed to be accessible for Earth Science graduate students in any discipline.
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In your week
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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