CSOL 208
Data Science for Climate Solutions
This course integrates data science fundamentals into the climate solutions curriculum, reframing them for an AI-driven era. Students practice data organization, visualization, and quantitative analysis by communicating in natural language with AI systems. Alongside hands-on, team based projects, we also critically examine AI’s reliability, ethics, and environmental impacts. Graduates will be equipped to interpret data leveraging cutting-edge technology to drive climate solutions in their fields.
Topics
- Work effectively in teams; get to know the instructor and classmates. Experience and understand the fundamentals of data science workflows - including data ingest and cleaning to exploratory data analysis, principles data visualization, to dynamic applications. Be able to generate concise and interpretable python code that performs these tasks through the use of Large Language Models in an integrated development environment.
Official catalogue course objectives and student learning outcomes
Sources
- Course catalogue ↗2026-2027