Simulation and Modeling
Course objectives:
To provide the knowledge of discrete and continuous system, random numbers generation, queuing system and computer system simulation.
 Introduction to Simulation (4 hours)
 system, model and simulation
 Discrete and continuous systems
 Model of a system
 Types of models
 Steps in simulation study
 Model development life cycle
 Advantage and disadvantage of simulation
 Limitations of the simulation techniques
 Areas of application
 Physical and Mathematical models (4 hours)
 Static physical model
 Dynamic physical model
 Static mathematical models
 Dynamic mathematical models
 Continuous system simulation (5 hours)
 Differential and partial differential equations
 Continuous system models
 Analog computer
 Analog Methods
 Hybrid simulation
 DigitalAnalog simulators
 Continuous System simulation languages(CSSLs)
 Feedback systems
 Queuing system (6 hours)
 Elements of queuing system
 Characteristics of queuing systems
 Model of queuing system
 Types of queuing system
 Queuing notation
 Measurement of system performance
 Network of queues
 Applications of queuing system
 Markov chains (3 hours)
 Key features of Markov chains
 Markov process with example
 Application of Markov chain
 Random Number (10 hours)
 Properties of Random Numbers
 Generation of PseudoRandom numbers
 Random Number generation methods
 Test for random numbers
 Generating discrete distribution
 Inversion, rejection , composition and Convolution
 Verification and validation of simulation models (3 hours)
 Verification and validation
 Verification of simulation models
 Calibration and validation of models
 Analysis of simulation output (4 hours)
 Estimation methods
 Simulation run statistics
 Replication of runs
 Elimination of Initial bias
 Simulation software ( 3 hours)
 simulation in Java
 simulation in GPSS
 Simulation in SSF
 Other simulation software
 Simulation of computer systems ( 3 hours)
 Simulation tools
 High Level computer–system simulation
 CPU simulation
 Memory Simulation
Practicals:
 Simulation of continuous system
 Simulation of the RC amplifier circuit
 Generation of Random number
 Simulation mass spring damper system
 Simulation of National econometric system
References:
 Jerry Banks, John S. Carson II, Barry L. Nelson, Devid M. Nicol, P. Shahabudeen:DiscreteEvent system simulation
 Geoffrey Gordon: System Simulation
 A.M. Law and W.D. Kelton: Simulation and Modeling and analysis
 R. Y. Rubinstein, B. Melamed: Modern Simulation and Modeling
 S. Shakya: Lab Manual on Simulation and modeling
Evaluation Scheme:
The question will cover all the chapters of the syllabus. The evaluation scheme will be as indicated in the table below:
Chapters 
Hours 
Marks Distribution * 
1 
4 
8 
2 
4 
6 
3 
5 
10 
4 
6 
10 
5 
3 
6 
6 
10 
18 
7 
3 
5 
8 
4 
5 
9 
3 
6 
10 
3 
6 
Total 
45 
80 
*Note: There may be minor deviation in marks distribution.
