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PostMay 21, 2021

Climate Modeling in "Introduction to Computational Thinking"

This introductory course on computational thinking uses the Julia programming language to approach real-world problems in varied areas, applying data analysis and computational and mathematical modeling. In this class you will learn computer science, software, algorithms, applications, and mathematics as an integrated whole. Topics include image analysis, particle dynamics and ray tracing, epidemic propagation, and climate modeling.

View the course here. It includes a complete set of with lecture videos, Julia notebooks, and homework assignments. Climate modeling is covered in class sessions 20-25.

Instructors: Prof. Alan Edelman, Prof. David P. Sanders, Grant Sanderson, Dr. James Schloss, and Henri Drake

by MIT OCW
Topics
Climate Modeling
Education

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Left to right: Researchers Anamitra Saha and Sai Ravela of the MIT Department of Earth, Atmospheric and Planetary Sciences, and Jayanta Basu of the University of Calcutta design the board for a "snakes and ladders" game. The game is the first step in encouraging community members to use an app-based simulation that suggests solutions to their unique geographical and environmental challenges.

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