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Undergraduate:
- ENCE 200 Civil Engineering Computation, University of Maryland
This course develops knowledge and skills in managing, analyzing, interpreting, and communicating spatial information. Computer Aided Drafting and Design (CADD) and Geographic Information Systems (GIS) are introduced in the context of civil and environmental engineering applications.
- ENCE 301 Geo-Metrics and GIS in Civil Engineering, University of Maryland
This course focuses on the development of skills in using GIS technology to solve a range of problems in civil and environmental engineering. GIS concepts will be presented with an emphasis on the linkage between a standard relationship database and the spatially-referenced database underlying the GIS. Both raster and vector data models will be presented and used in a variety of applications in civil and environmental engineering. Students will also be exposed to scripting, which aids in the development of more elaborate analyses and reinforced object oriented programming concepts studied in earlier courses.
- ENCE 302: Probability and Statistics for Civil and Environmental Engineers, University of Maryland
Engineers must often make decisions based on incomplete, variable or uncertain information. Modern methods of design and analysis need to account for randomness in natural, engineered, and human systems. This course provides students with the fundamental skills and concepts of probability and statistics, including managing data, modeling variability and uncertainty, communicating about data and decisions, and supporting or defending a decision or judgment based on uncertain or incomplete data.
- CE 424: Optimization in Civil Engineering Systems, Pennsylvania State University
This course provides students with the fundamental skills and concepts of the quantitative techniques of operations research. Techniques that will be covered include mathematical modeling, linear programming, dynamic programming, network flow programming, network optimization (shortest paths, project scheduling, minimum spanning trees), queueing systems, and decision-making. The course will focus on application of these techniques to problems arising in civil engineering systems, including transportation, water resources, project planning and structural design.
- CE 221W: Transportation Systems Engineering, Pennsylvania State University
This course is designed to introduce the students to the breadth of the transportation field and to some of the analytical techniques used in transportation systems engineering. In addition, this course is intended to lead to improved writing skills through several writing-intensive assignments.
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Graduate:
- CEIE 601 Infrastructure Systems Modeling, George Mason University
The course objectives are to: introduce concepts of systems analysis and systems engineering in the context of civil, environmental and infrastructure systems engineering applications; develop the ability to construct appropriate models of complex systems considering multiple objectives and attribute uncertainty; and use these models to analyze and solve real problems in the field of infrastructure systems engineering.
- ENCE 677 OR Models for Transportation Systems Analysis, University of Maryland
This course provides students with the fundamental skills and concepts of the quantitative techniques of operations research. Techniques that will be covered include 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. The course will focus on the application of these techniques to problems arising in transportation.
- ENCE 688T Transportation Network Algorithms and Implementations, University of Maryland
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.
- ENCE 688W, Emergency Management in Transportation, University of Maryland
This course addresses the many facets of emergency planning and post-disaster response from a transportation optimization perspective. Topics covered include, but are not limited to, evaluation of risk and safety; evacuation of buildings, complexes and geographic regions; contraflow and other traffic control techniques for evacuation with and without notice; emergency response districting, location, routing, scheduling, dispatching and fleet management; warning systems and other techniques for improving situational awareness; crowd behavior and pedestrian issues in emergencies; issues of emergency planning related to the disabled; role of human behavior, poverty and other issues from a social science perspective; role of the military and government and non-government organizations; and legal and moral issues. Various potential causes of disaster and their effects are considered, including natural events (e.g. tornados, hurricanes, flooding, tsunamis, earthquakes, fire, landslides and combinations thereof) and human caused events (e.g. military or terrorist attack, chemical attack, discovery of hazardous materials or biological agents). How preparedness and response decisions might differ for each of the various types of disasters and related policy implications are considered. Basic concepts of blast hardening and transportation/critical infrastructure security are discussed.
- CE 597 Transportation Network Algorithms, Pennsylvania State University (precursor to ENCE 688T)
This course will focus on optimization issues in numerous transportation systems applications, including fixed route transit network design, dynamic routing and scheduling for dial-a-ride, freight transportation (trucking, rail, air, port operations and intermodal issues), evacuation, emergency response and emergency repair.
- CE597C Stochastic Models in Transportation, Pennsylvania State University
This course will focus on the quantitative techniques of operations research for modeling and analyzing transportation systems with stochastic attributes. Many example applications in urban systems will be discussed, including fleet operations for ambulance, fire, police, emergency repair, and commercial vehicle operations, as well as hazmat transport and location. A semester-long group project will be required. The class will be working together all semester to solve a real-world problem that has been identified by the Alpha Fire Department of State College. At the end of the semester, the class will present a final report with their suggestions to the Alpha Fire Department and may be asked to give a short presentation to explain their findings. Keep in mind, the problem identified for this course project is a real problem that the Fire Department has identified as a problem they could use help in solving. Aspects of this problem will be discussed throughout all topics in this course.
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Elise Miller-Hooks, Ph.D.
Professor
Bill & Eleanor Hazel Chair in Infrastructure Engineering
Phone: 703.993.1685
Email: miller@gmu.edu
Office: 4614 Nguyen Engineering Building
Address:
Sid and Reva Dewberry Department of Civil, Environmental and Infrastructure Engineering
George Mason University
4400 University Drive, MS 6C1
Fairfax, VA 22030
USA
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