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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.


Fall 2022 Earth and Environmental Engineering E4000 section 001
Machine learning for environmental engin
MACH LRN FOR ENV ENG & SC

Call Number 10020
Day & Time
Location
W 4:10pm-6:40pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Pierre Gentine
Type LECTURE
Method of Instruction In-Person
Course Description Aimed at understanding and testing state-of?the-art methods in machine learning applied to environmental sciences and engineering problems. Potential applications include but are not limited to remote sensing, and environmental and geophysical fluid dynamics. Includes testing "vanilla" ML algorithms, feedforward neural networks, random forests, shallow vs deep networks, and the details of machine learning techniques.
Web Site Vergil
Department Earth and Environmental Engineering
Enrollment 23 students (50 max) as of 4:11PM Wednesday, June 29, 2022
Subject Earth and Environmental Engineering
Number E4000
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20223EAEE4000E001

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SIS update 06/29/22 16:11    web update 06/29/22 16:34