IT-702-C Simulation and Modeling - Nov 2023 Question Paper

Under each question, How to answer lists the points an answer should cover, outlined by CampusPrep from the syllabus. Check the details against your textbook.

1. 7 Marks
   aWhat is simulation? Explain with neat flow diagram steps involved in simulation.
   How to answer

   • Definition of simulation as imitation of real system operation
   • Need and purpose of simulation
   • Steps involved in simulation study in sequence
   • Neat flow diagram showing steps
2. 7 Marks
   bCompare and contrast continuous vs discrete system simulation.
   How to answer

   • Definition of continuous system simulation
   • Definition of discrete system simulation
   • Basis-wise differences in state change, time advance, examples
   • Tabular comparison and conclusion
3. 10 Marks
   aGive expressions for Binomial, Poisson and Normal distributions. Under what conditions Binomial distribution is approximated by Poisson distribution?
   How to answer

   • PMF expression for Binomial distribution
   • PMF expression for Poisson distribution
   • PDF expression for Normal distribution
   • Conditions n large, p small, np constant for Binomial to Poisson approximation
4. 4 Marks
   bExplain limitations of simulation.
   How to answer

   • Simulation does not give exact optimum results
   • Model building cost, time and data requirements
   • Difficulty in validation and interpretation of results
5. 7 Marks
   aExplain autopilot simulation with example.
   How to answer

   • Concept of autopilot system
   • Modeling of autopilot control loop with example
   • Simulation steps and use in testing
6. 7 Marks
   bWrite the basic concepts of continues and discrete random variables and their distributions.
   How to answer

   • Definition of continuous random variable and its distributions
   • Definition of discrete random variable and its distributions
   • Examples of distributions for each type
7. 7 Marks
   aDescribe a general queuing system with illustrative diagrams. How a queuing system can be simulated?
   How to answer

   • Components of general queuing system: arrival, queue, server, departure
   • Illustrative block diagram of queuing system
   • Procedure to simulate queuing system using event advance
8. 7 Marks
   bExplain queuing theory and also explain applications characteristics of queuing theory.
   How to answer

   • Definition and elements of queuing theory
   • Characteristics: arrival pattern, service pattern, queue discipline
   • Applications in communication, traffic, manufacturing
9. 7 Marks
   aState out the difference between Verification and Validation of experimental models.
   How to answer

   • Definition of verification of simulation model
   • Definition of validation of simulation model
   • Tabular differences in purpose, stage, methods
10. 7 Marks
    bExplain simulation of classification languages.
    How to answer

    • Concept of classification of simulation languages
    • Types of simulation languages
    • How simulation is performed using them
11. 7 Marks
    aGive the difference between analog and digital simulation.
    How to answer

    • Definition of analog simulation
    • Definition of digital simulation
    • Differences in representation, accuracy, cost, applications
12. 7 Marks
    bExplain different AI techniques in simulation.
    How to answer

    • Role of AI in simulation
    • Techniques: expert systems, neural networks, fuzzy logic, genetic algorithms
    • Use with examples in modeling and decision making
13. 7 Marks
    aExplain pure pursuit problem in modelling.
    How to answer

    • Statement of pure pursuit problem
    • Mathematical modeling of pursuer and pursued paths
    • Simulation approach and result interpretation
14. 7 Marks
    bExplain density and distributive functions with example.
    How to answer

    • Definition of density function with example
    • Definition of distributive / distribution function with example
    • Relation between PDF and CDF with formulas
15. 14 Marks
    Write a short notes on the following.

    1. a)Arrival Pattern
    2. b)Differential equations
    3. c)Stochastic variables
    How to answer

    • Brief definition and key points of Arrival Pattern
    • Role of differential equations in modeling
    • Meaning and examples of stochastic variables