SE 498

Spring 2020 All Classes

All Classes

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Credit: 0 TO 4 hours.

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

1 to 4 undergraduate hours. 1 to 4 graduate hours.

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SE 498 class schedule data for spring 2020
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
69458	Laboratory	WL1	9:00AM -11:50AM	M	302 Transportation Building	Norris, B	Part of Term: 1 Date Range: 01/21/20-05/06/20 Section Title: Autonomous Vehicle Sys Lab
69459	Laboratory	WL2	9:00AM -11:50AM	T	302 Transportation Building	Norris, B	Part of Term: 1 Date Range: 01/21/20-05/06/20 Section Title: Autonomous Vehicle Sys Lab
69460	Laboratory	WL3	12:00PM -2:50PM	W	302 Transportation Building	Norris, B	Part of Term: 1 Date Range: 01/21/20-05/06/20 Section Title: Autonomous Vehicle Sys Lab
68168	Lecture-Discussion	WN1	3:30PM -4:50PM	TR	203 Transportation Building	Norris, B	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 3 hours Section Title: Autonomous Vehicle Systems Section Info: Students may receive consent of instructor to register if there are seats available. Prerequisites: SE 320 or equivalent, SE 420 preferred. This course will involve the introduction of autonomous vehicle technologies that serve as the foundation for development and operation. This will include the identification and development of autonomous system subsystems, simulation methods and incorporate topics on algorithms for localization, dead reckoning, sensor fusion, perception, dee learning, planning/control, and payload development. Restriction(s): Restricted to students with Junior or Senior class standing. Restricted to Undergrad - Urbana-Champaign.
68169	Lecture-Discussion	WN2	3:30PM -4:50PM	TR	203 Transportation Building	Norris, B	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 4 hours Section Title: Autonomous Vehicle Systems Section Info: Prerequisites: SE 320 or equivalent, SE 420 preferred. This course will involve the introduction of autonomous vehicle technologies that serve as the foundation for development and operation. This will include the identification and development of autonomous system subsystems, simulation methods and incorporate topics on algorithms for localization, dead reckoning, sensor fusion, perception, dee learning, planning/control, and payload development. Restriction(s): Restricted to Graduate - Urbana-Champaign.