Smart Mobility (SM)
The Smart Mobility theme focuses on emerging technologies in transportation engineering. This includes autonomous, connected, electrified and shared micro-mobility transportation systems. Analytical theories and tools will include big data analytics, econometrics, network models and optimization methods. The topics covered will be of interest to learners who want to plan, design, operate or manage smart mobility systems. Techniques for assessing the safety, efficiency, sustainability and societal impacts of these systems are useful to a broad cross section of professionals, including engineers and policy makers.
Curriculum
Learners are required to take five Civil Engineering courses. You may pick any five from this group:
|
Course Title |
Credits |
|
CE 59700: Logistics and Supply Chain |
3 |
|
CE 59700: Network Models for Connected and Autonomous Transportation |
3 |
|
CE 59700: Data Science for Smart Cities |
3 |
|
CE 59700: Geographic Information Systems |
3 |
|
CE 59700: UAS-based Mapping: Principles and Applications |
3 |
|
CE 59700: Non-destructive Testing and Sensing of Infrastructure |
3 |
Technical Electives can be chosen from the CE courses not taken from the above group, or the list below. Three courses (9 credits) are required:
|
Course Title |
Credits |
|
ME 59700: Data Analytics for Scientists and Engineers |
3 |
|
ME 55400: Intellectual Property for Engineers (1 credit) |
3 |
|
ECE 57000: Artificial Intelligence |
3 |
|
ECE 58000: Optimization Methods for Systems Control |
3 |
|
ECE 69500: Communication for Engineering Leaders |
3 |
|
ECE 59500: Introduction to Deep Learning |
3 |
Two Applied Math and/or Statistics courses (six credits) can be chosen from this list:
|
Course Title |
Credits |
|
MA 51100: Linear Algebra with Applications |
3 |
|
MA 52700: Adv Math for Engineers and Physicists I |
3 |
|
MA 52800: Adv Math for Engineers and Physicists II |
3 |
|
STAT 51200: Applied Regression Analysis |
3 |
|
STAT 51400: Design of Experiments |
3 |
|
STAT 51700: Statistical Inference |
3 |
Sample Plan of Study - Smart Mobility
|
Course # |
Course Title |
Credits |
Category |
|
CE 59700 |
Logistics and Supply Chain |
3 |
CE Core |
|
CE 59700 |
Network Models for Connected and Autonomous Transportation |
3 |
CE Core |
|
CE 59700 |
Data Science for Smart Cities |
3 |
CE Core |
|
CE 59700 |
Geographic Information Systems |
3 |
CE Core |
|
CE 59700 |
Non-destructive Testing and Sensing of Infrastructure |
3 |
CE Core |
|
ECE 57000 |
Artificial Intelligence |
3 |
Tech Elective |
|
ECE 58000 |
Optimization Methods for Systems Control |
3 |
Tech Elective |
|
CE 59700 |
UAS-based Mapping: Principles and Applications |
3 |
Tech Elective |
|
STAT 51400 |
Design of Experiments |
3 |
MATH/STAT |
|
STAT 51700 |
Statistical Inference |
3 |
MATH/STAT |
