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For transportation
majors, a variety of master's and Ph.D. programs can be designed
with core courses plus selected electives that focus on specific
mathematical and computer skills, analytical techniques, and
management methods.
Core
Courses
The following
courses are offered in the Department of Civil and Environmental Engineering
as core courses for interdisciplinary graduate education in
Transportation. They serve as the focus for broad programs
of study for students seeking degrees in transportation and
as applied electives for students majoring in systems engineering,
city and environmental planning, computer science, and other
programs.
CE 613
Infrastructure Management
CE 633 Transportation Systems Planning and Analysis I:
Framework
CE 634 Geographic Information Systems
CE 635 Intermodal Transportation
CE 636 Traffic Operations
CE 637 Traffic Systems Management
CE 638 Public Transportation
CE 732 Transportation Systems Planning and Analysis II: Land
Use and Environmental Impact
CE 733 Transportation Systems Planning and Analysis III: Integrated
Model Systems
CE 734 Traffic Flow Theory
CE 736 Financing Transportation Infrastructure
CE 737 Intelligent Transportation Systems
CE 738 Integrated Transportation Systems Models
CE 739 Advanced Topics in Transportation
Master's
and Ph.D. Elective Programs
The elective
courses are selected to develop the skills necessary to
provide expertise to address specific types of problems in
depth. The following are examples of recommended elective
courses for
transportation programs at the two degree levels.
Master's
Degree
APMA 543
Statistics for Engineers & Scientists
APMA 609 Introduction to Probability and Its Applications
SYS 601 Introduction to Systems Engineering
SYS 603 Mathematical Programming
SYS 605 Stochastic Systems
SYS 612 Dynamic Systems
SYS 614 Decision Analysis
SYS 616 Knowledge-Based Systems
SYS 650 Risk Analysis
SYS 660 Economic Systems Analysis
SYS 670 Environmental Systems Analysis
CS 645 Computer Graphics
CS 662 Database Systems
CS 682 Digital Picture Processing
Ph.D.
Degree
SYS 716
Artificial Intelligence
SYS 730 Time Series Analysis
SYS 734 Advanced Systems Simulation
SYS 742 Knowledge Representation and Inference
SYS 752 Markov Decision Processes
SYS 754 Multiobjective Decision Making
SYS 763 Risk, Utility, and Decision Theories
SYS 770 Sequencing and Scheduling
SYS 775 Forecast-Decision Systems
CS 782 Advanced Computer Vision
EE 781 Pattern Recognition
EE 886 Neural Networks
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