Ecampus Schedule of Classes - All Terms
College of Agricultural Sciences
DAST 202 – AI Applications in Natural Resource Management (3)
Explores the intersection of artificial intelligence and natural resource management through real-world case studies in water, forestry, wildlife, soil, and climate systems. Provides hands-on experience with AI tools such as machine learning, computer vision, and predictive modeling to address sustainability and conservation challenges. Emphasizes data-to-decision workflows and ethical considerations in applying AI to complex environmental systems. This course may be subject to Enforced Prerequisites that restrict registration into the course. Check the offerings below for more information.
For more information, contact OSU Ecampus at 800-667-1465 (option 1) or ecampus.ess@oregonstate.edu.
Continue to Registration.
| Term | CRN | Sec | Cr | P/N | Instructor | Type | Status | Cap | Avail | WL Cap | WL Avail |
|---|---|---|---|---|---|---|---|---|---|---|---|
| F26 | 20560 | 400 | 3 | Staff | Online | Cancelled | 0 | 0 | 0 | 0 | |
| Registration Restrictions Enforced Prereqs: AI 100 [C-] Recommended: Python, particularly via a Jupyter Notebooks environment | |||||||||||
| Syllabus: Available in Canvas to students enrolled in this course. | |||||||||||
Academic calendar
Currently it's summer term. See academic calendar for our quarter term schedule.
Fall term starts Sept. 23.
Winter term starts Jan. 4, 2027.
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