Transportation Systems

Master of Engineering Courses

The 30-credit curriculum includes 10 three-credit courses. No research or thesis is required for the degree. Six core courses and four elective courses.

To apply to this program, please click here.



ENCE670 Highway Traffic Characteristics and Measurements (3)
Prerequisite: Permission of Instructor.
The study of the fundamental traits and behavior patterns of road users and their vehicles in traffic. The basic characteristics of the pedestrian, the driver, the vehicle, traffic volume and speed, stream flow and intersection operation, parking, and accidents.
ENCE672 Regional Transportation Planning (3)
Prerequisite: Permission of Instructor.
Factors involved and the components of the process for planning statewide and regional transportation systems, encompassing all modes. Transportation planning studies, statewide traffic models, investment models, programming and scheduling.
ENCE673 Urban Transportation (3)
Prerequisite: Permission of Instructor.
The contempory methodology of urban transportation planning. The urban transportation planning process, interdependence between the urban transportation system and the activity system, urban travel demand models, evaluation of urban transportation alternatives and their implementation.
ENCE677 OR Models for Transportation Systems Analysis (3)
Prerequisite: Permission of Instructor.
Fundamental skills and concepts of the quantitative techniques of operations research including: mathematical modeling, linear programming, integer programming, network optimization (shortest paths, minimum spanning trees, minimum cost network flows, maximum flows), heuristics, and basics of probabilistic modeling. Emphasis on the application of these techniques to problems arising in transportation.
ENCE6881 Discrete Choice Analysis (3)
Prerequisite: Permission of Instructor.
Methods and statistics of model estimation; maximum-likelihood estimation; individual choice theory; binary choice models; multi-dimensional choice models; sampling theory and sample design; aggregate prediction with choice models; joint stated preference and revealed preference modeling, and longitudinal choice analysis; review of state-of-the-art and future directions.
ENCE688T Transportation Network Algorithms and Implementations (3)
Prerequisite: Permission of Instructor.
This course will focus on network optimization algorithms for transportation and logistics systems. The application of these techniques to the determination of optimal routes and tours for various transportation and logistics applications will be stressed. In addition to introducing a wide variety of network-related problems and existing techniques for solving a number of these problems, one of the goals of the course is to help the class participants to develop skills in creating and evaluating new algorithms and heuristics.


ENCE627 Project Risk Management (3)
Prerequisite: Permission of Instructor.
Introduction to identifying, analyzing, assessing, and managing risks inherent to engineering projects. Includes: probability modeling, choice and value theory, schedule and cost risk, risk mitigation and transfer, and contract considerations of project risk. Examples are drawn from construction, software development, systems integration, and other large engineering projects; and cover probability basics, subjective probability, statistical data analysis, introduction to decision theory, Monte Carlo simulation, value of information, and risk-based decision making.
ENCE666 Cost Engineering and Control (3)
Prerequisite: Permission of Instructor.
Analytic techniques to estimate and control project costs, including site investigation, quantity takeoff, work analysis and bid preparation. Systematic cost control as related to job production and historical data.
ENCE667 Project Performance Measurement (3)
Prerequisite: Permission of Instructor.
Examination of various techniques and models used to measure the performance of projects. Topics will include: Critical Path Method (CPM), Program Evaluation Review Technique (PERT), Gantt charts, project crashing, resource management, capital allocation, forecasting, hypothesis testing, regression analysis, learning curve analysis, goal programming, Monte Carlo simulation, the Analytic Hierarchy Process (AHP), Pareto optimality and tradeoff curves as well as basics in linear programming and uncertainity modeling.
ENCE674 Urban Transit Planning and Rail Transportation Engineering (3)
Prerequisite: Permission of Instructor.
Basic engineering components of conventional and high speed railroads and of air cushion and other high speed new technology. The study of urban rail and bus transit. The characteristics of the vehicle, the supporting way, and the terminal requirements will be evaluated with respect to system performance, capacity, cost, and level of service.
ENCE688 Applications of OR in Transportation Systems Management (3)
Prerequisite: Permission of Instructor.
This course covers the application of mathematical optimization in transportation systems management. Topics covered include nonlinear programming, traffic equilibrium, traffic assignment, transportation network design,location modeling, and vehicle routing and scheduling.
ENCE688Q Transportation Economics (3)
Prerequisite: Permission of Instructor.
Transportation Economics applies economic theories to transportation engineering and planning. Topics include: demand and demand forecasting,cost and cost estimation, externalities pricing, investment, regulation, industrial organization, economic impact, equity, and other social/environmental issues. Applications and special topics cover urban, intercity, and multimodal transportation.

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