Introduction
to modeling and simulation: Modeling and simulation
methodology, system modeling,
concept of
simulation, continuous and discrete time simulation. Basic concept of
probability and random
variables, continuous
and discrete random variables and their distributions, Compartmental models:
linear,
nonlinear and
stochastic models.
Introduction
to Queuing Theory: Characteristics of queuing system, Poisson's formula, birth-death
system, equilibrium
of queuing system, analysis of M/M/1 queues. Application of queuing theory in
computer system like
operating systems, computer networks etc.
System
Dynamics modeling: Identification of problem situation, preparation of causal loop
diagrams and
flow diagrams,
equation writing, level and rate relationship. Simulation of system dynamics
models.
Verification
and validation: Design of simulation experiments, validation of experimental
models, testing
and analysis. Simulation
languages comparison and selection, study of Simulation sw -SIMULA,
DYNAMO, STELLA,
POWERSIM.
Reference
Books:
1. Gorden G., System
simulation, Prentice Hall.
2. Payer T.,
Introduction to system simulation, McGraw Hill.
3. Seila, Applied
Simulation Modeling, Cengage
4. Spriet, Computer
Aided Modeling and Simulation, W.I.A.
5. Sushil, System
Dynamics, Wiley Eastern Ltd.
6. Shannon R.E.,
System simulation, Prentice Hall
7. Law and Kelton;
Simulation Modeling
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