ABE 598

Spring 2017 All Classes

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Credit: 1 TO 4 hours.

Subject offerings of new and developing areas of knowledge in agricultural and biological engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.

May be repeated in the same or separate terms if topics vary to a maximum of 8 hours.

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ABE 598 class schedule data for spring 2017
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	65726	Lecture-Discussion	GC	11:00AM -12:20PM	TR	111 David Kinley Hall	Chowdhary, G	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: Autonomous Decision Making Section Info: Title: Principles of Autonomous Decision Making in the Real-World. The objective of this course is to cover theory and techniques essential for building cyber-physical systems capable of autonomous decision making in the real-world. This course will lay a foundation for theory and techniques in autonomous planning, machine learning, and adaptive sequential decision making. Topics covered include Planning under uncertainty, Bayesian Nonparametric machine learning, Neural Networks, Markov Decision Processes, and Reinforcement Learning. Student chosen applied projects, involving real aerial and ground robots, are a key element of this course.