ENCE 360 Analysis of Civil Engineering Systems
Spring 2005
Course Syllabus
Course Description
This course provides an introduction to systems analysis for problems in civil and environmental engineering. Systems analysis tools that facilitate engineering management decision-making are presented with particular emphasis on linear programming, integer programming, nonlinear programming, dynamic programming, and Monte Carlo simulation.
Course Prerequisites
- ENCE 200
- ENCE 201
Required Course Texts:
- Civil and Environmental Systems Engineering, Charles S. ReVelle, E. Earl Whitlach, and Jeff R. Wright, (second edition) Prentice-Hall.
Optional supplementary text:
- Operations Research Applications and Algorithms by Wayne L. Winston (4th edition)
Course Objective
Provide an introduction to the concepts behind systems engineering with applications in civil and environmental engineering.
Instructor
Dr. Steven A. Gabriel
Office EGR 1143
Telephone (301) 405-3242; Fax: (301) 405-2585
sgabriel@umd.edu
Course Location and Time:
Tuesdays and Thursdays 9:30am-10:45am, EGR 0312
Grading
The overall course grade will be derived from the following areas:
- Class participation and homeworks (including presentations) 5%
- Highest of three in-class exam scores 30%
- Second highest of three in-class exam scores 25%
- Lowest of three in-class exam scores 15%
- Project (proposal, presentation, final report) 25%
Course Policies
Students are encouraged to attend all lectures since the take-home exam and the homeworks will be closely related to material discussed in lectures.
It is assumed that students will complete the homeworks by themselves although casual discussion with other class members is allowed. Homeworks will generally be given out each week and due at the start of class one week later, no late homeworks will be accepted unless it’s a family or medical emergency.
The course is subject to the Code of Academic Integrity available on the web. The Code prohibits students from cheating on exams, plagiarizing papers, submitting the same paper for credit in two courses without authorization, buying papers, submitting fraudulent documents, and forging signatures.
The University has a legal obligation to provide appropriate accommodations for students with disabilities. Please inform Dr. Gabriel of any accommodations needed relative to disabilities. Also, University of Maryland policy states that students should not be penalized due to observances of their religious beliefs. Please inform Dr. Gabriel of such instances well in advance so that appropriate steps can be taken.
Short Bio on Dr. Gabriel
Academic Experience: Besides teaching at University of Maryland, Dr. Gabriel has held appointments in the Mathematical Sciences Department at The Johns Hopkins University, and in the Engineering Management and Systems Engineering Department at The George Washington University. In addition, he has served as a postdoctoral researcher in the Mathematics and Computer Science Division at Argonne National Laboratory.
Industry Experience: Dr. Gabriel has over 15 years of industry experience involving mathematical modeling of engineering-economic systems with applications in energy, transportation, service performance, and operations management. His specialties include optimization/equilibrium modeling, econometrics, decision support systems, and software development. His most recent industry experience includes 5 years as a Project Manager at ICF Consulting (www.icfconsulting.com) involving projects with their oil and gas group (www.icf-oilandgas.com) as well as their electrical power group.
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