SYST 302: Systems Methodology
and Design
Spring 2002
http://ite.gmu.edu/~kchang/302syl.htm
Instructor: Prof. K. C. Chang, SITE II, Rm. 315, (703) 993-1639, kchang@gmu.edu
Class room and hours: R A111, 12:00 to 1:15 PM, TR, Office
hour: 1:30 - 3:00 TR
This class is part of a two-semester introduction
(SYST 301 and 302) to systems engineering.
The objective of this two semester sequence is to provide students with
a detailed introduction to system engineering process, some experience
exercising this process, and a general introduction to a variety of
quantitative techniques that are relevant to systems engineering. SYST 301 will concentrate on the systems
engineering process, with particular emphasis on modeling and analysis of
systems requirements and the specification of overall systems
architecture. SYST 302 will concentrate
on the use of quantitative techniques to model and evaluate design options.
Scope
of Course
Analysis methods of systems engineering design and
management. Decision analysis, models
for economic evaluation, optimization in design and operations, probability and
statistical methods, queuing theory and analysis, management control
techniques, reliability and maintainability analysis, and economic and life
cycle cost analysis. Prerequisites:
SYST202, 203.
Topics |
Reference |
Alternative and Models in Decision Making |
Chap. 7 |
Models for Economic
Evaluation |
Chap. 8 |
Optimization in Design and Operations |
Chap. 9 |
Probability and Statistical Methods |
Appendix B and Handouts |
Queuing Theory and Analysis |
Chap. 10 |
Control Concepts and Techniques |
Chap. 11 |
Design for Reliability |
Chap. 12 |
Markov Chain Analysis and Applications |
Handouts |
Design for Maintainability |
Chap. 13 |
Design for Economic Feasibility |
Chap. 17 |
This course will have weekly
Homework assignments, two midterms, and a final exam. They will constitute 30%,
40%, and 30% of the grade, respectively.
Some homework assignments may be done using MATLAB.
Required texts: Blanchard and Fabrycki, Systems Engineering and Analysis, 3rd
Edition, Prentice Hall, 1998.
Wk#1 Course
Introduction/Decision Making Model Chap 7
Wk#1 Decision
under Risk and Uncertainty Chap
7
Wk#2 Economic
Models Chap
8
Wk#2 Economic
Evaluation Chap
8
Wk#3 Probability
Concept Appendix
B
Wk#3 Probabilistic
Analysis Appendix
B
Wk#4 Statistical
Methods Handouts
Wk#5 Mid-term
1: Chap. 7, 8, Appendix B, Handouts
Wk#5 Optimization
Theory Chap 9
Wk#6 Constrained
and Unconstrained Optimization Chap
9
Wk#6 Constrained
and Unconstrained Optimization Chap
9
Wk#7 Queuing
Theory Chap 10
Wk#7 Queuing
Analysis Chap
10
Wk#8 Spring
Recess
Wk#9 Queuing
Analysis Chap
10
Wk#10 Mid-term
2: Chap. 9, 10
Wk#10 Control
Concepts Chap
11
Wk#11 Control
Techniques Chap
11
Wk#11 Reliability:
Concept and Measures Chap
12
Wk#12 Markov
Chain for Reliability Analysis Handouts
Wk#13 Reliability:
Design and Evaluation Chap
12
Wk#13 Maintainability: Concept and Measures Chap
13
Wk#14 Maintainability: Design and Evaluation Chap
13
Wk#14 Design
for Economic Feasibility Chap
17
Wk#15 Life-Cycle
Cost Analysis Chap 17
Wk#16 Final
Exam: Chap. 11, 12, 13, 17, Handouts