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Course Criteria
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3.00 Credits
Applications of operations research and systems analysis techniques to mathematical modeling of complex systems, especially large-scale public systems. Discussion of model-building approaches, emphasizing the role of creativity, rationality, and mathematics. Introduction of important quantitative techniques (e.g., geometrical probability, optimization theory, and stochastic processes) and their application to modeling emergency service systems, spatial distribution of public service facilities, congestion, land-use patterns, transportation systems, demographics, and energy. Prerequisites/Corequisites: Prerequisites: DSES 4770 (MATP 4700) and ECSE 4500 or equivalent; DSES 6830 (ECSE 6830) desirable. When Offered: Fall term even-numbered years. Cross Listed: Cross-listed as ECSE 6840. Students cannot obtain credit for both this course and ECSE 6840. Credit Hours: 3
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3.00 Credits
Evaluation provides structured information for policy-relevant decision making, based on a purposeful analysis of the identified measures. Topics include tests of hypotheses, randomization/control schemes, measures framework, measurement methods, and pertinent analytic techniques. Emphasis is on the application of evaluation methods (including systems engineering and operations research techniques) to issues arising in criminal justice, education, health, housing, transportation, welfare, automated information systems, and military programs. Prerequisites/Corequisites: Prerequisite: ECSE 4500 or DSES 4750 (MATP 4600) or equivalent. When Offered: Fall term odd-numbered years. Cross Listed: Cross-listed as ECSE 6860. Students cannot obtain credit for both this course and ECSE 6860. Credit Hours: 3
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3.00 Credits
Neural networks are program and memory at once, useful where traditional techniques fail, i.e., for artificial speech and image recognition. Emphasis on existing and emerging engineering applications. Parallel distributed processing, Hebb's rule, Hopfield net, back-propagation algorithm, perceptrons, unsupervised learning, Kohenen self-organizing map, genetic algorithms, neocognitron, adaline. Illustrated with computer programs and lectures. When Offered: Fall term odd-numbered years. Credit Hours: 3
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3.00 Credits
Consideration of multiple objectives under certain and uncertain conditions, the concept of the ideal, anti-ideal, and value tradeoffs, the decision-making process, measurement of attribute importance, linear multiobjective programming, goal programming, compromise programming, dealing with uncertainty. Prerequisites/Corequisites: Prerequisites: DSES 4770 (MATP 4700) or equivalent, and DSES 6110 or equivalent. When Offered: Spring term odd-numbered years. Credit Hours: 3
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3.00 Credits
A review of active DSES doctoral research projects and activities. Students develop a research paper or proposal under the guidance of a selected faculty adviser and present research findings in class. It is anticipated that the research paper will lead to identification of the broad area of dissertation research. The proposal should be of a quality that can be submitted to an external funding agency. Prerequisites/Corequisites: Prerequisite: DSES doctoral student or permission of instructor. When Offered: Fall term annually. Credit Hours: 3
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3.00 - 6.00 Credits
Credit Hours: 3 to 6
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3.00 Credits
Credit Hours: 3
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1.00 - 4.00 Credits
Active participation in a semester-long project, under the supervision of a faculty adviser. A Professional Project often serves as a culminating experience for a Professional Master's program but, with departmental or school approval, can be used to fulfill other program requirements. With approval, students may register for more than one Professional Project. Professional Projects must result in documentation established by each department or school, but are not submitted to the Graduate School and are not archived in the library. Grades of A, B, C, or F are assigned by the faculty adviser at the end of the semester. If not completed on time, a formal Incomplete grade may be assigned by the faculty adviser, listing the work remaining to be completed and the time limit for completing this work. Credit Hours: 1 to 4
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1.00 - 9.00 Credits
Active participation in a master's-level project under the supervision of a faculty adviser, leading to a master's project report. Grades of IP are assigned until the master's project has been approved by the faculty adviser. If recommended by the adviser, the master's project may be accepted by the Office of Graduate Education to be archived in the Library. Grades will then be listed as Credit Hours: 1 to 9
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1.00 - 9.00 Credits
Active participation in research, under the supervision of a faculty adviser, leading to a master's thesis. Grades of IP are assigned until the thesis has been approved by the faculty adviser and accepted by the Office of Graduate Education to be archived in a standard format in the library. Grades will then be listed as S. Credit Hours: 1 to 9
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