Courses - Fall 2026
AGNR
Agriculture and Natural Resources
Open Seats as of
08/28/2026 at 10:30 PM
AGNR200
AGNR 2+2 Program Extended Orientation Seminar
Credits:
1
Grad Meth:
Reg
Prerequisite: Must be a first semester international student enrolled in the AGNR 2+2 Program.
Restriction: Must be a first year international student enrolled in the College of Agriculture and Natural Resources 2+2 Program.
Additional information: It is strongly recommended that AGNR 2+2 students take AGNR 200 during the first semester at the University. One class meeting per week. This courses is initiated by International Programs and will be coordinated in conjunction with the College of AGNR.
Introduces AGNR 2+2 students to University and "American" life. Assists with their successful transition to the College and Agriculture and Natural Resources and the University of Maryland. Helps students to understand their place in AGNR at to learn about the resources available to them.
AGNR230
Artificial Intelligence: Transforming Food, Agricultural, and Environmental Systems
Cross-listed with: ENST231.
Credit only granted for: AGNR230 or ENST231.
Artificial intelligence is fundamentally transforming agriculture, food, and environmental sciences, disciplines at the heart of the College of Agriculture and Natural Resources (AGNR). This course introduces students to the core concepts and practical realities of AI within these fields. Through a blend of theory, case studies, and expert seminars, students will examine how AI models (from Large Language Models to computer vision) function. Students will critically evaluate real-world applications, such as precision farming, environmental impact modeling, and veterinary diagnostics. The course will challenge the students to consider both the benefits and drawbacks of this rapidly expanding set of technological tools. By the end of the course, students will possess the foundational literacy to navigate the AI landscape and make informed decisions about integrating these tools into their education and future careers.
Cross-listed with ENST231. Credit only received for AGNR230 or ENST231.
Artificial intelligence (AI) is fundamentally transforming agriculture, food, and environmental sciences, disciplines at the heart of the College of Agriculture and Natural Resources. This course introduces students to the core concepts and practical realities of AI within these fields. Through a blend of theory, case studies, and expert seminars, students will examine how AI models (from Large Language Models to computer vision) function. Students will critically evaluate real-world applications, such as precision farming, environmental impact modeling, and veterinary diagnostics. The course will challenge the students to consider both the benefits and drawbacks of this rapidly expanding set of technological tools. By the end of the course, students will possess thefoundational literacy to navigate the AI landscape and make informed decisions about integrating these tools into their education and future careers.
Artificial intelligence (AI) is fundamentally transforming agriculture, food, and environmental sciences, disciplines at the heart of the College of Agriculture and Natural Resources. This course introduces students to the core concepts and practical realities of AI within these fields. Through a blend of theory, case studies, and expert seminars, students will examine how AI models (from Large Language Models to computer vision) function. Students will critically evaluate real-world applications, such as precision farming, environmental impact modeling, and veterinary diagnostics. The course will challenge the students to consider both the benefits and drawbacks of this rapidly expanding set of technological tools. By the end of the course, students will possess thefoundational literacy to navigate the AI landscape and make informed decisions about integrating these tools into their education and future careers.
AGNR301
Sustainability
Credits:
3
Grad Meth:
Reg, P-F, Aud
Cross-listed with: PLCY301.
Credit only granted for: AGNR301 or PLCY301.
Designed for students whose academic majors would be enhanced by the complementary study of a widely shared but hard-to-operationalize aspiration: that present choices should preserve or improve future options rather than foreclose or degrade them. How should we understand sustainability? How might we achieve it? How would we know if we had achieved it? And how could sustainability activists of a rising generation lead by example?
AGNR388
Honors Thesis Research
Credits:
3 - 6
Grad Meth:
Reg
AGNR499
Special Problems; Special Problems
Credits:
1 - 3
Grad Meth:
Reg, P-F, Aud
Flagship Institution of the University System of Maryland
University of Maryland, College Park, MD 20742, USA
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Phone:
301.405.1000
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