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Practical Data Processing and Analysis for Atmospheric Sciences

ATMOSSC 5401: Practical Data Processing and Analysis for Atmospheric Sciences

Computer programming and data analysis skills are crucial for nearly all careers in atmospheric science and meteorology. Without these skills, forecasters and scientists cannot navigate and analyze the massive quantities of data that are needed to understand or predict atmospheric behavior.
Credit Hours
3.0

ATMOSSC 5401 is a hands-on, skills-centric introductory course on computational data analysis that is specifically designed for atmospheric science applications. This course will use Python, a commonly used programming language in atmospheric science and meteorology. By the end of the semester, students will successfully use, visualize, and dissect large atmospheric data sets. Additionally, students will learn how to compute and understand atmospheric statistics, break big problems into smaller manageable pieces, read Application Programming Interface (API), communicate their code to other programmers, and use version control.

Syllabi:

Semester(s) Offered:

Spring