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Course Criteria
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3.00 Credits
Description: Model formulation and solution of problems on graphs and networks. Topics include heuristics and optimization algorithms on shortest paths, min-cost flow, matching and traveling salesman problems. Grading: Regular grades are awarded for this course: A B C D E. Prerequisite(s): SIE 340. Credit allowed for only one of these courses: SIE 546, MIS 546. Usually offered: Spring.
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3.00 Credits
Description: Efficient implementation techniques, complexity theory, data structures, and stability issues arising in the context of optimization algorithms. Students will examine classical pedagogical case studies as well as contemporary issues in operations research algorithmic design. Grading: Regular grades are awarded for this course: A B C D E. Prerequisite(s): SIE 540 or SIE 544; programming proficiency in any language. Usually offered: Spring.
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3.00 Credits
Description: Make decisions as to the appropriate modeling tool to use based on the problem setting, the constraints on the solution process, the needs of the decision-maker, and the data available. Building models and obtaining solutions that consider the typical issues that arise when solving real problems, multiple objectives, multiple constraints, stochastic and deterministic elements, sensitivity analysis and unknown data. Grading: Regular grades are awarded for this course: A B C D E. Special course fee required: Special fee may apply for web delivered sections. See the M.Eng Website (http://www.oneflexibledegree.com) for details. Prerequisite(s): SIE 500A, SIE 500B, SIE 500C or equivalent materials. Usually offered: Spring.
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3.00 Credits
Description: An intensive study of continuous and discrete linear systems from the state-space viewpoint, including criteria for observability, controllability, and minimal realizations; and optionally, aspects of optimal control, state feedback, and observer theory. Grading: Regular grades are awarded for this course: A B C D E. Prerequisite(s): SIE 350. Usually offered: Spring.
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3.00 Credits
Description: Process and tools for systems engineering of large-scale, complex systems: requirements, performance measures, concept exploration, multi-criteria tradeoff studies, life cycle models, system modeling, etc. Graduate-level requirements include extensive sensitivity analysis of their final projects. Grading: Regular grades are awarded for this course: A B C D E. May be convened with: SIE 454A. Usually offered: Fall.
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3.00 Credits
Description: Advanced information processing and soft computing methods and technologies such as fuzzy logic, neural networks, evolutionary computation, rough sets, simulated annealing, etc. Attention will be given to computational algorithms, fusion of different methods, computer simulations and real-world applications. Grading: Regular grades are awarded for this course: A B C D E. Usually offered: Spring.
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3.00 Credits
Description: The course will cover various modeling and simulation approaches used in studying traffic dynamics and control in a transportation network. The model-based simulation tools discussed include dynamic macroscopic and microscopic traffic flow simulation and assignment models. Models will be analyzed for their performance in handling traffic dynamics, route choice behavior, and network representation. Grading: Regular grades are awarded for this course: A B C D E. Identical to: C E 561. Usually offered: Spring.
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3.00 Credits
Description: Quantitative models in the planning, analysis and control of production systems. Topics include aggregate planning, multi-level production systems, inventory control, capacitated and uncapacitated lot-sizing, Just-in-time systems and scheduling. Grading: Regular grades are awarded for this course: A B C D E. Prerequisite(s): SIE 540, SIE 544. Usually offered: Fall.
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3.00 Credits
Description: Strategic, tactical and operational planning; innovation and technological cycles; the elements of entrepreneurship, and human relations topics for technical managers. Graduate-level requirement includes two term papers. Grading: Regular grades are awarded for this course: A B C D E. Prerequisite(s): SIE 265. Identical to: ENGR 567. May be convened with: SIE 467. Usually offered: Fall.
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3.00 Credits
Description: Architectures and algorithms of intelligent control systems. Concepts, methods and tools for task organization, task coordinations, and task executions. Attention will be given to computer simulations and real-world applications. Grading: Regular grades are awarded for this course: A B C D E. Prerequisite(s): SIE 350. Usually offered: Fall, Spring, Summer.
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