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SYSE- 804 Modeling, Simulation & Optimization
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Campus
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RCMS
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Programs
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PG
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Session
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Fall Semester 2016
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Course Title
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Modeling, Simulation & Optimization
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Course Code
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SYSE- 804
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Credit Hours
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3-0
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Pre-Requisutes
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Course Objectives
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This course provides an overview of models and simulations and of modeling and simulation techniques. The course addresses the modeling and simulation in the systems engineering process and provides methods for architecting and managing the development of complex models/simulations.
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Detail Content
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- Introduction
- Decisions, Analysis, Modeling & Simulation
- M&S in System Life Cycle, Simulation Development, Simulation Architecture,
- Simulation Integration, & MATLAB Functions
- Modeling/Simulating Decision Making: Agents and AI
- Design of Experiments
- Managing Simulation Development
- Classical Optimization Theory
- Unconstrained Optimization
- Linear Constrained Optimization
- Nonlinear Constrained Optimization
- Design of Experiments – Analysis of Variance (ANOVA)
- Response Surface Methods (RSM)
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Text/Ref Books
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- Blanchard, Benjamin S., Fabrycky, Walter J., Systems Engineering and Analysis, 5th ed. Prentice Hall International Series, 2010.
- Bonnans, J.F., Numerical Optimization, 2nd ed, Springer-Verlag, 2006.
- Yang, X.-S., Introduction to Mathematical Optimization-From Linear Programming to Metaheuristics2008: Cambridge International Science Publishing.
- The MathWorks, MATLAB Optimization Toolbox.
- Montgomery, D. C., (2001), Design and Analysis of Experiments, John Wiley & Sons.
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Time Schedule
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Fall 2015
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Faculty/Resource Person
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Lecturer Ammar Mushtaq
MS (National University of Science and Technology (NUST)
Discipline : CFD
Specialization:
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