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 15 core Civil Engineering course credits.  You may pick any from this group:

Course Title Credits
CE 59700: Smart Logistics and Supply Chains 3
CE 59700: Network Models for Connected and Autonomous Vehicles 3
CE 59700: Data Science for Smart Cities 3
CE 59700: Geographic Information Systems 3
CE 59700: UAS-Based LiDAR Mapping 1
CE 59700: UAS-Based Photogrammetric Mapping 1
CE 59700: UAS-Based Mapping: Basic Principles 1
CE 59700: Fundamentals of Non-Destructive Testing (NDT) 1
CE 59700: Wave-Based Non-Destructive Testing Methods 1
CE 59700: Electric-Based Non-Destructive Testing Methods 1

Technical Electives can be chosen from the CE courses not taken from the above group, or the list below.  Nine credits are required:

Course Title Credits
ME 53900: Introduction to Scientific Machine Learning 3
ME 55400: Intellectual Property for Engineers  1
ECE 57000: Artificial Intelligence 3
ECE 58000: Optimization Methods for Systems Control 3
ECE 69500: Communication for Engineering Leaders 1
ECE 59500: Introduction to Deep Learning 3

Six credits of Applied Math and/or Statistics courses 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 Title Credits Category
CE 59700: Smart Logistics and Supply Chains 3 CE Core
CE 59700: Network Models for Connected and Autonomous Vehicles 3 CE Core
CE 59700: Data Science for Smart Cities 3 CE Core
CE 59700: Geographic Information Systems 3 CE Core
CE 59700: Fundamentals of Non-Destructive Testing (NDT) 1 CE Core
CE 59700: Wave-Based Non-Destructive Testing Methods 1 CE Core
CE 59700: Electric-Based Non-Destructive Testing Methods 1 CE Core
ECE 57000: Artificial Intelligence 3 Tech Elective
ECE 58000: Optimization Methods for Systems Control 3 Tech Elective
CE 59700: UAS-Based LiDAR Mapping 1 Tech Elective
CE 59700: UAS-Based Photogrammetric Mapping 1 Tech Elective
CE 59700: UAS-Based Mapping: Basic Principles 1 Tech Elective
STAT 51400: Design of Experiments 3 MATH/STAT
STAT 51700: Statistical Inference 3 MATH/STAT