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SYS 321 - (3) (Y)
An introduction to OR through the application of several deterministic tools and techniques for modeling and decision making. These include linear programming, network analysis, duality theory, sensitivity, analysis, and integer programming. Applications to resource allocation, employee scheduling, routing and logistics, portfolio selection, and transportation.
SYS 323 - (3) (Y)
Information Integration and Analysis
An introduction to the integration and acquisition of information for decision making using information technology. The rapid development of software and hardware often separates critical information, from which knowledge of how to integrate information is now required. An understanding of the methodologies of client server and database systems is essential to information integration. Client server technology is presented including industry standards and development issues. The design and analysis of database systems such as relational and object-oriented, is addressed through exposure to a commercial database system and the 4th generation language, SQL. Emphasis is placed on the application of these technologies through the written analysis of different systems and the implementation of a database system.
SYS 360 - (3) (Y)/360L - (1) (Y)
Prerequisites: APMA 310, SYS 321
Introduction to stochastic models of operations research, including independent processes; discrete time and continuous time Markov Processes; applications to project management; elementary queuing systems; inventory analysis; and reliability. One hour laboratory.
SYS 362 - (3) (Y)/362L (1) (Y)
Discrete Event Simulation
Prerequisites: APMA 310, CS 210
The theory and practice of discrete-event simulation modeling and analysis. Topics include probabitistic models and Monte Carlo simulation; discrete-event dynamic systems (DEDS); simulation logic and data structures; random number generation; computational issues; experiment design; output analysis; model verification and validation; and modern simulation languages including animation. One hour laboratory and design project.
SYS 401 - (3) (Y)
Prerequisites: SYS 301, SYS 321, SYS 360
Analysis of quantitative methods for solving engineering decision problems with multiple objectives under conditions of certainty and uncertainty. Application of these methods to planning, design, and management of large-scale, complex systems in both the private and public sectors.
SYS 402 - (3) (IR)
Engineering Economic Systems Design
Prerequisite: SYS 321
Application of methods and techniques of systems engineering to engineering problems in which environmental and economic factors are involved. Topics include microeconomics; systems analysis; welfare economics; and cost benefit analysis.
SYS 421 - (3) (Y)/421L (1) (Y)
Intelligent Decision Systems
Exploration of formal methods for data analysis and decision support, and for design and implementation of decision support systems.Topics cover both computer-aided and automated decision-making with applications. One hour laboratory.
SYS 434 - (3) (Y)/434L - (1) (Y)
Production and Service Systems
Prerequisites: SYS 321, SYS 360 and SYS 362 or equivalents; APMA 310
Study of the application of systems engineering methodology to the design and management of production systems. Topics are derived from such areas of operations management as: operations system design, operation planning and control, production planning and scheduling, inventory control, forecasting, quality control, and system reliability. One hour laboratory.
SYS 453, 454 - (4) (Y)
Systems Design I and II
A design project extending throughout the fall and spring semesters. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis and generation of solutions. An appropriate computer laboratory experience is included.
SYS 495 - (3) (IR)
Special Topics in Systems Engineering
Detailed study of undergraduate course material on an independent basis under the guidance of a faculty member.
SYS 550 - (3) (IR)
Decision Support Systems
Prerequisites: SYS 321, SYS 360, or equivalent
Study of the principles of decision support systems (DSS) design, implementation, and evaluation. Emphasis on the integration of the basic decision support technologies of operations research, decision analysis, artificial intelligence, and database management into effective computer-based systems. Other topics include: DSS identification and use, development strategies and methodologies for large-scale systems devoted to complex problem solving, and evaluation of the total system.
SYS 581, 582 - (3) (IR)
Selected Topics in Systems Engineering
Prerequisites: As specified for each offering
Detailed study of a selected topic determined by the current interest of faculty and students. Offered as required.
SYS 593 - (Credit as arranged) (S)
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
SYS 595 - (Credit as arranged) (S)
Supervised Project Research
Formal record of student commitment to project research under the guidance of a faculty advisor. Registration may be repeated as necessary.
Note Courses at the 600 level and above are listed in the Graduate Record.
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