Name of Subject  :

SIMULATION AND MODELING (5 IT 6.2)

Unit

Contents

System definition and components, Stochastic activities, continuous and discrete systems, System modeling,

I

types of models, static and dynamic physical models,  static and dynamic mathematical models,  full corporate

model, types of system study.

System simulation, why to simulate and when to simulate, basic nature of simulation, technique of simulation,

comparison of simulation and analytical methods, types of system simulation, real time simulation, hybrid

II

simulation, simulation of pure-pursuit problem single-server queuing system and an inventory problem, Monte-

Carlo simulation, Distributed Lag models, Cobweb model.

Simulation of continuous systems, analog vs. digital simulation, simulation of water reservoir system, simulation of

servo system, simulation of an autopilot.

III

Discrete system simulation, fixed time-step vs. event-to-event model, generation of random numbers, test of

randomness, generalization of non-uniformly distributed random numbers, Monte-Carlo computation vs. stochastic

simulation.

System Dynamics, exponential growth models, exponential decay models, modified exponential growth models,

IV

logistic curves, generalization of growth models, system dynamics diagrams, feedback in socio-economic systems

and world models.

Simulation of PERT networks, critical path simulation, uncertainties in activity duration, resource allocation and

consideration.

V

Simulation software, simulation languages, continuous and discrete simulation languages, expression based