Hide Advanced Options
Courses - Spring 2020
ENSE
Systems Engineering Department Site
ENSE622
(Perm Req)
System Trade-off Analysis, Modeling, and Simulation
Credits: 3
Grad Meth: Reg, Aud, S-F
Prerequisite: Permission of ENGR-Institute for Systems Research; and ENSE621.
Recommended: Familiarity with calculus, probability, linear algebra, differential equations, & computer programming recommended.
Credit only granted for: ENPM642 or ENSE622.
This course continues the model-based approach to systems engineering by introducing students to a variety of mathematical modeling and simulation techniques used to perform system performance, optimization, and trade-off analyses. Topics include: linear and integer programming; state machine models of finite state machines; development of simple intelligent agents; modeling Markov processes; queueing theory; multi-objective trade-off analyses; decision trees; stochastic (Monte Carlo) simulation, linear regression, some predictive analytic techniques; and an introduction to control theory. Mathematical models and simulations are developed and executed using MATLAB. The course includes a class project in which students solve a problem of interest to them using one or more of techniques addressed in class.
Cross-listed with ENPM642. Credit granted for ENSE622 or ENPM642
ENSE624
(Perm Req)
Human Factors in Systems Engineering
Credits: 3
Grad Meth: Reg, Aud, S-F
Restriction: Permission of ENGR-Institute for Systems Research.
Credit only granted for: ENPM644 or ENSE624.
This course covers the general principles of human factors, or ergonomics as it is sometimes called. Human Factors (HF) is an interdisciplinary approach for dealing with issues related to people in systems. It focuses on consideration of the characteristics of human beings in the design of systems and devices of all kinds. It is concerned with the assignment of appropriate functions for humans and machines, whether the people serve as operators, maintainers, or users of the system or device. The goal of HF is to achieve compatibility in the design of interactive systems of people, machines, and environments to ensure their effectiveness, safety and ease of use.
Cross-listed with ENPM644. Credit granted for ENPM644 or ENSE624.
ENSE627
(Perm Req)
Systems Quality and Robustness Analysis
Credits: 3
Grad Meth: Reg, S-F
Restriction: Permission of ENGR-Institute for Systems Research.
Credit only granted for: ENPM647 or ENSE627.
This course covers systems engineering approaches for creating optimal and robust engineering systems and for quality assurance. It provides an overview of the important tools for quality analysis and quality management of engineering systems. These tools are commonly used in companies and organizations. Focus is placed on the Baldrige National Quality Program, ISO 9000 certification, six-sigma systems, and Deming total quality management to examine how high quality standards are sustained and customer requirements and satisfactions are ensured. The Taguchi method for robust analysis and design is covered and applied to case studies. Issues of flexible design over the system life cycle are addressed. Statistical process control, international standards for sampling, and design experimentation are also studied.
Cross-listed with ENPM647. Credit granted for ENPM647 or ENSE627.
ENSE698B
Special Topics in Systems Engineering; Applied Formal Methods
Credits: 3
Grad Meth: Reg, Aud, S-F
Prerequisite: MATH141 or equivalent.

Introduces best practices for the application of formal methods, a set of mathematically rigorous techniques for the formal specification, validation, and verification of safety-critical systems, of which aircraft and spacecraft are the prime examples. Explores tools, techniques, and applications of formal methods, focusingon aerospace and robotic domains. Students examine the latest research to gain an understanding of the current state of the art, including the capabilities and limitations of applying formal methods for systems analysis. Students from all areas of engineering and computer science are encouraged to enroll.
ENSE698G
Special Topics in Systems Engineering; Human Reliability Analysis
Credits: 3
Grad Meth: Reg, Aud, S-F
Cross-listed with ENRE645. Credit granted for ENRE645 or ENSE698G. Metho dsof solving practical human reliability problems, cognitive and behavioral modeling, task analysis, performance shaping factors, error classification, distribution of human performance and uncertainty boun ds, sources of human error probability data, human error risk mitigation , examples and case studies.
ENSE699
(Perm Req)
Directed Study in Systems Engineering
Credits: 1 - 3
Grad Meth: S-F
Contact department for information to register for this course.
ENSE799
(Perm Req)
Systems Engineering Thesis; Masters Thesis Research
Credits: 1 - 6
Grad Meth: S-F
Contact department for information to register for this course.