SE 498

Spring 2019 All Classes

All Classes

Credit: 1 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.

Section Status updates every 10 minutes.
SE 498 class schedule data for spring 2019
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:
01/14/19-05/01/19
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:
01/14/19-05/01/19
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:
01/14/19-05/01/19
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:
01/14/19-05/01/19
Credit:
3 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 students with 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:
01/14/19-05/01/19
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.
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