The Department of Civil Engineering offers both M.S. and PhD degrees in Civil Engineering with specialization in transportation engineering. More information about applying to the program is provided at the link below.
Transportation Engineering Course Offerings
ECIV 350. Transportation Engineering. 3 Credits. (2 Lec, 1 Lab) F,S
PREREQUISITE: SRVY 230. Introduction to vehicle operating characteristics, geometric and pavement design, traffic flow theory, signal design and analysis, capacity analysis and planning. Laboratory work will introduce various in-practice software packages.
ECIV 450. Public Transit System Design. 3 Credits. (3 Lec) On Demand
PREREQUISITE: ECIV 350, and EGEN 350 or STAT 332. Design, implementation and management of public transit systems including paratransit, bus and light rail; including an overview of funding sources, legislation, public relations and other issues with coverage or route optimization strategies and demand estimation techniques. CE 450 is co-convened with CE 550. Students enrolled in CE 450 will not be able to take CE 550 and have it count toward degree requirements.
ECIV 451. Highway Pavements. 3 Credits. (2 Lec, 1 Lab) S alternate years, to be offered even years.
PREREQUISITE: ECIV 320, ECIV 350. Design of highway pavements including drainage and base/subbase/subgrade preparation. Laboratory in bituminous materials.
ECIV 452. Traffic Engineering and ITS. 3 Credits. (2 Lec, 1 Lab) F, alternate years
to be offered odd years. PREREQUISITE: ECIV 350, EGEN 350 or STAT 332. Application of driver, vehicle, and roadway characteristics to principles of traffic control, operations, and safety. Traditional and advanced technology solutions will be explored.
ECIV 454. Transportation Planning. 3 Credits. (2 Lec, 1 Lab) S, alternate years, to be offered odd years.
PREREQUISITE: ECIV 350 and EGEN 350 or STAT 332. Transportation planning process and travel demand forecasting including trip generation, trip distribution, mode split and traffic assignment. Laboratory work will introduce TransCADtm software.
ECIV 456. Highway Geometric Design. 3 Credits. (3 Lec) F
PREREQUISITE: SRVY 230, ECIV 350. Advanced geometric design of highway systems including two-lane and interstate roadways and intersection design and traffic control.
ECIV 554. Transportation Safety. 3 Credits. (3 Lec) S alternate years, to be offered odd years.
PREREQUISITE: ECIV 350 or consent of instructor. This course addresses safety of the highway system as related to design, construction, and operations. The course provides an overview of the various elements of the highway system namely, road users, vehicles, roadways, and environment as related to safety. Apart from the introduction, the course is structured in three distinct components that represent the sequential stages in highway life; i.e. design, construction, and operations.
ECIV 555. Survey Data Collection & Analysis. 3 Credits. (2 Lec, 1 Lab) S
Even Years PREREQUISITE: EGEN 350 or EIND 354 or permission of instructor. This course introduces students to the principles and practice of survey data collection and analysis. The survey portion focuses on survey methods and sampling techniques. Sampling and survey techniques are crucial to collecting quality data and lays a solid foundation for robust data analysis. The analysis portion centers on various statistical models and tools, with an emphasis on identifying and applying appropriate models for different types of data. Students will also gain hands-on experience with statistical models and optimization methods that are critical in data-driven decision making.
ECIV 556. Traffic Flow Fundamentals. 3 Credits. (3 Lec) S alternate years
to be offered even years PREREQUISITE: ECIV 350 or consent of instructor. This course covers traffic stream parameters, their relationships, and important analytical techniques in traffic engineering such as capacity analysis, queuing analysis, shockwave analysis, and traffic simulation. Topics covered are essential in understanding the behavior of vehicular traffic as a complex system.
Other Related Courses
EIND 364. Principles of Operations Research I. 3 Credits. (3 Lec) F
3 cr. LEC 3 PREREQUISITE: M 221 or M 273. Formulation of models and optimization techniques to facilitate engineering management decisions. Resource allocation, transportation and multiple goals via networks, linear, and integer programming with primal-dual emphasis.
EIND 464. Prin of Operations Research II. 3 Credits. (3 Lec) S
PREREQUISITE: EIND 354 and EIND 364. Advanced formulation of models, optimization techniques and application to engineering design and operations management decision making. Nonlinear and integer programming algorithms. Stochastic models including advanced queuing and general markov processes.
EIND 511. Advanced Human Factors. 3 Credits. (3 Lec) S, even years
3 cr LEC 3 PREREQUISITE: STAT 216Q or equivalent, or consent of instructor. Advanced research methods applied to areas where ergonomics and human factors is playing a key role in increasing effectiveness, efficiency and safety of human-based systems. Example application areas include: (1) transportation systems; (2) health care systems; and (3) occupational work.
CSCI 446. Artificial Intelligence. 3 Credits. (3 Lec) F even years.
PREREQUISITE: CSCI 232. The fundamental bases of artificial intelligence: knowledge representation, search, and learning. Applications include game playing, neural networks, and expert systems.
CSCI 477. Simulation. 3 Credits. (3 Lec) F
PREREQUISITE: CSCI 112 and a probability or statistics course. Discrete and continuous simulation modeling methodology using a computer simulation language; random number generation, output analysis, validation, and verification; application to varied system design and analysis problems. Cross-listed with I&ME 422.
ARCH 523. Issues in City Planning. 3 Credits. (3 Rct) On Demand
PREREQUISITE: Graduate standing or seniors by petition. Problems and issues, processes and regulations in planning, urban design, and historic preservation. Field trip possible.
ECNS 561. Econometrics I. 3 Credits. (3 Lec) F
PREREQUISITE: ECNS 301, STAT 216, M 221. The use of regression analysis in the estimation of economic relationships, with emphasis on development of the least squares technique, the properties of estimators, and hypothesis testing in the context of the regression model
ECNS 562. Econometrics II. 3 Credits. (3 Lec) S
PREREQUISITE: ECNS 561. Course consists of theoretical and applied econometrics of static and dynamic structural models, primarily using time-series data. Single equations and system of equations are evaluated. Estimation properties specific to statistical problems, dynamic adjustments to economic behavior, and model forecasting are emphasized.
GPHY 520. Land Use Planning. 3 Credits. (3 Sem) F alternate years, to be offered odd years.
PREREQUISITE: Graduate standing. History and philosophy of land use planning; application of geographical skills to contemporary land use planning issues. Selected topics include population pressure and land requirement, law, eminent domain, property right, public control over private land use, institution, and economics in land use planning
GPHY 504. GIS Research Fundamentals. 3 Credits. (2 Lec, 1 Lab) F
PREREQUISITE: Graduate standing. Geographic Information Science Fundamentals in the context of developing a research program. Spatial data principles, data models, conversion and sampling strategies, analysis methods and cartography. Lab exercises uses GIS software. Students specialty area explored through literature review and individual project.
GPHY 484R. Applied GIS & Spatial Analysis. 3 Credits. (2 Lec, 1 Lab) S
PREREQUISITE: GPHY 384 and either STAT 217 or STAT 332. Advanced spatial analysis, synthesis and modeling concepts and methods. Semester projects apply theory and concepts to a project related to student's discipline. Students learn to develop GIS applications to address a variety of issues.
STAT 511. Methods of Data Analysis I. 3 Credits. (2 Lec, 1 Lab) F,S
PREREQUISITE: Graduate standing and STAT 216Q or STAT 401. This course targets non-statistics graduate students. Introduction to statistical inference and design, t-tools, non-parametric alternatives, one-way ANOVA, simple linear regression and multiple linear regression, with an emphasis on statistical thinking, appropriate inference, interpretation of results and writing. Semester project required. Co-convened with STAT 411.
STAT 512. Methods of Data Analysis II. 3 Credits. (2 Lec, 1 Lab) S
PREREQUISITE: STAT 411/STAT 511 (co-convened). Continuation of STAT 411/STAT 511 to cover principles of experimental design, multi-factor ANOVA, repeated measures, logistic regression, Poisson log-linear regression, and introductions to multivariate and time series analyses, with an emphasis on statistical thinking, appropriate inference and interpretation, and writing. A semester project is required. Co-convened with STAT 412.