CPSC 499

Spring 2024 All Classes

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Advanced Special Topics

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Credit: 1 TO 4 hours.

Advanced experimental course on a special topic in crop sciences.

1 to 4 undergraduate hours. 1 to 4 graduate hours. Approved for Letter and S/U grading. May be repeated if topics vary.

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CPSC 499 class schedule data for spring 2024
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
61485	Lecture-Discussion Online	A A	12:30PM -1:50PM ARRANGED	TR n.a.	M5 Turner Hall n.a.	Riechers, D Seiter, N Riechers, D Seiter, N	Part of Term: A Date Range: 01/16/24-03/08/24 Credit: 2 hours Section Title: Biology of Pest Resistance Section Info: Resistance development threatens the continued effectiveness of pesticides used to manage weeds, insects, and other organisms. This course explores the biological basis for pesticide resistance and resistance management through a hybrid in-person/online format.
57618	Online	EH	6:00PM -8:50PM	M	n.a.	Heaton, E	Part of Term: B Date Range: 03/11/24-05/01/24 Credit: 2 hours Section Title: Plant Nutrition Section Info: This class is designed to provide students with an understanding of what nutrients are needed to grow healthy plants and why, and the influence of plant nutrition on the health of animals (including humans), ecosystems, and society. Emphasis will be placed on the role of mineral nutrients in plant functions like photosynthesis and stress tolerance, and the role of plants and people in modulating nutrient cycles. Information will be contextualized with practical agricultural and horticultural examples. Students are expected to have basic knowledge of plant biology or consent of instructor.
76007	Lecture-Discussion	JDA	4:00PM -4:50PM	M	W223 Turner Hall	Arbelaez, J	Part of Term: B Date Range: 03/11/24-05/01/24 Credit: 3 hours Section Title: International Plant Genetic Re
56348	Laboratory-Discussion Online	MH MH	1:00PM -2:50PM ARRANGED	T n.a.	M205 Turner Hall n.a.	Hudson, M Hudson, M	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 3 hours Section Title: Data Processing and Analysis Section Info: Topic: Data Processing and Analysis. Description: This class will cover the methods and principles used to manage and interpret digital data in biology and agriculture. The capture, digitization, transmission, storage, retrieval, organization, analysis and interpretation of data for biological and agricultural scientists will all be covered. Special attention will be focused on the use of sensors and management of large datasets.