Summer 2025 CLIMATE SCHOOL G5045 section 001

Computing and Research Methods for Clima

Clim Data Sci Research Me

Call Number 11153
Day & Time
Location
TR 11:00am-12:45pm
To be announced
Points 1.5
Grading Mode Standard
Approvals Required None
Instructor Dhruv Balwada
Type LECTURE
Method of Instruction In-Person
Course Description

Computing and data analysis have become an indispensable tool for researchers and industry professionals working in virtually any aspect of the modern world. This course will introduce students to the fundamental concepts and methods that are broadly applicable to any data science project, with a thematic focus on climate and environmental data. This includes an introduction to Unix, programming, common data formats, analysis, and visualization. The primary focus will be to teach students the foundations of Python in a climate data science context, which is of the most widely used and accessible programming languages today. Students will also be introduced to cloud computing, which will be the primary tool for in class assignments and projects. 

The course is designed to be accessible for any students with an interest in being able to ask and answer questions using data. This course will also be invaluable for those looking to interact with scientists and engineers, manage scientific projects, and develop policies in the realm of climate science and sustainability.  

Web Site Vergil
Subterm 05/27-07/03 (A)
Department Climate School
Enrollment 20 students (20 max) as of 9:05PM Tuesday, April 1, 2025
Status Full
Subject CLIMATE SCHOOL
Number G5045
Section 001
Division THE CLIMATE SCHOOL
Section key 20252CLMT5045G001