National University of Sciences and Technology
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SYSE-804 MODELING, SIMULATION & OPTIMIZATION
Campus RCMS
Programs PG
Session Fall Semester 2016
Course Title MODELING, SIMULATION & OPTIMIZATION
Course Code SYSE-804
Credit Hours 3
Pre-Requisutes UG level courses of Engineering.
Course Objectives
  • 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.
Detail Content
  • 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)
Course Outcomes
  • Understand the variety of different types of models and simulations and the different ways in which they are used
  • Understand the role of modeling and simulation in the systems engineering process, how to manage the development of complex models and simulations, and how to use the systems engineering process to develop complex models and simulations
  • Use MATLAB to develop and graph simple mathematical models of systems, translate these into simple dynamic time-driven simulations, discrete event simulations, and Monte Carlo simulations, and develop simple intelligent agents.
Text/Ref Books
  • Blanchard, Benjamin S., Fabrycky, Walter J., Systems Engineering and Analysis, 5th ed. Prentice Hall International Series, 2010.
  • Bonnans, J.F., Numerical Optimization, 2nded, 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
Time Schedule
Faculty/Resource Person Lecturer - Ammar Mushtaq