ATMS 597

Spring 2020 All Classes

All Classes

Special Topics in Atmospheric Sciences

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Credit: 0 TO 4 hours.

Lecture course in topics of current interest; subjects such as tropical meteorology, aerosol physics, and geophysical fluid dynamics will be covered in term offerings on a regular basis.

0 to 4 graduate hours. No professional credit. Approved for Letter and S/U grading. Prerequisite: Graduate standing or consent of instructor.

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ATMS 597 class schedule data for spring 2020
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	70963	Laboratory	SWN	12:30PM -1:50PM	TR	1020 Natural History Building	Nesbitt, S	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 4 hours Section Title: Weather Climate Data Analysis Section Info: In this course, graduate students will gain experience using python language-based tools to analyze weather and climate datasets, and learn tools that will allow for the development of statistical representations of data and their uncertainties. Topics covered will include (1) object-oriented python programming, (2) version control, open source, and open data best practices, (3) using pandas and xarray for wrangling data, (4) parallelization in python and big data, (5) supervised learning, including linear, logistic, Bayesian, random forest regression techniques, and (6) unsupervised learning, including clustering, empirical orthogonal functions, and neural and deep learning.