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MS/SE Specialization in
Systems Engineering Methods (SEM)
Systems Engineers must address a broad range of issues relevant to the design, implementation, analysis and management of systems. This specialization area provides the student with methodological tools that can be applied to the systems engineering process. Areas of concentration include Decision Support Systems, Distributed Intelligent Systems, Knowledge-Based Planning Systems, Network Systems, Probabilistic Reasoning Systems, Sensor Fusion Systems, and a variety of others. The graduate program in Systems Engineering recognizes the importance of a balancing an education in quantitative models and engineering tools with a proper understanding of the systems perspective.
Basic Methods Courses for SEM
Students must complete: SYST 611 - System Methodology and Modeling and one additional course from the list of basic methods courses.
Elective Courses for SEM
A sample set of approved elective courses is given below. Courses designated as basic methods courses may also be used as elective courses once the requirement of two basic methods courses has been met. The set of elective courses must constitute a well defined concentration area and must be approved by the student's advisor.
- SYST 542 - Decision Support Systems Engineering
- SYST 619 - Introduction to Architecture-Based Systems Engineering
- SYST 621 - System Engineering Design
- SYST 671/OR 671 - Judgment and Choice Processing and Decision Making
- CS 580 - Introduction to Artificial Intelligence
- CS 681 - Designing Expert Systems
- CS 688 - Neural Network Principles^M^M
or
ECE 549 - Theory and Applications of Neural Networks - OR 641 - Linear Programming
- OR 642 - Integer Programming
- OR 643 - Network Modeling
- OR 644 - Nonlinear Programming
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