Sample courses

Generative AI in environmental informatics

Prof. Mashor Housh

Course Description

This course introduces the application of Generative AI (GenAI) tools in environmental informatics and natural resource management. The course focuses on using GenAI to support data analytics, interpretation, and decision-making across real-world environmental datasets.

Each class combines:

• Problem framing from environmental and natural resource domains

• Introduction to analytical methods relevant to the dataset

• Hands-on GenAI-based analysis, where students use AI tools to perform tasks such as data exploration, modeling, visualization, and insight generation

The course is built around learning by doing, where students:

• Interact directly with real datasets

• Use AI as an analytical partner

• Develop both technical skills and critical judgment

By the end of the course, students will be able to:

• Design and implement a data-driven environmental analysis project

• Develop dashboards to communicate insights

Below is a sample of students’ projects: