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
- Digital-Analog 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 Pseudo-Random 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 R-C 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:Discrete-Event 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.
|