SE 498

Spring 2021 Part of Term 1

Part of Term 1
Jan 25-May 5

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.

Section Status updates every 10 minutes.
SE 498 class schedule data for spring 2021
CRN Type Section Time Day Location Instructor Section Details
69458
Online Lab
WL1
5:00PM -7:50PM
T
n.a.
Yigit, K
Part of Term:
1
Date Range:
01/25/21-05/05/21
Section Title:
Autonomous Vehicle Sys Lab
69460
Online Lab
WL3
5:00PM -7:50PM
R
n.a.
Yigit, K
Part of Term:
1
Date Range:
01/25/21-05/05/21
Section Title:
Autonomous Vehicle Sys Lab
68168
Online Lecture
WN1
3:30PM -4:50PM
TR
n.a.
Norris, B
Part of Term:
1
Date Range:
01/25/21-05/05/21
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
Online Lecture
WN2
3:30PM -4:50PM
TR
n.a.
Norris, B
Part of Term:
1
Date Range:
01/25/21-05/05/21
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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