CPSC 499

Spring 2022 Part of Term 1

Part of Term 1
Jan 18-May 4

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 2022
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	15769	Online Lab	DA	6:30PM -8:50PM	M	n.a.	Dokoohaki, H	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Digital Agriculture Section Info: Digital agriculture is concerned with the use of digital technologies for understanding underlying processes and solving agricultural issues. The ultimate goal of the Digital Agriculture course is to help students develop an understanding around three main components in digital agriculture including: 1) Statistical modeling and machine learning 2) Process-based crop modeling and 3) Remote sensing, where they all revolve around crop physiology and production. In this course students will start by learning the fundamentals of crop physiology and familiarizing themselves with the current major issues around crop production in large. Then, students will learn about three powerful tools including statistical modeling, process-based modeling and remote sensing to addresses those challenges.
	56348	Laboratory-Discussion Online	MH MH	1:00PM -2:50PM ARRANGED	T n.a.	Turner Hall n.a.	Hudson, M Hudson, M	Part of Term: 1 Date Range: 01/18/22-05/04/22 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.