5 IT 6.2-SIMULATION AND MODELING |
Units: I |
System definition and components, Stochastic activities, continuous and discrete
systems, System modeling, types of models, static and dynamic physical models,
static and dynamic mathematical models, full corporate model, types of system
study.
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Units: II |
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 simulation,
simulation of pure-pursuit problem single-server queuing system and an inventory
problem, Monte- Carlo simulation, Distributed Lag models, Cobweb model. |
Units: III |
Simulation of continuous systems, analog vs. digital simulation, simulation of water
reservoir system, simulation of servo system, simulation of an autopilot.
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.
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Units: IV |
System Dynamics, exponential growth models, exponential decay models, modified
exponential growth models, logistic curves, generalization of growth models, system
dynamics diagrams, feedback in socio-economic systems and world models.
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Units: V |
System Dynamics, exponential growth models, exponential decay models, modified
exponential growth models, logistic curves, generalization of growth models, system
dynamics diagrams, feedback in socio-economic systems and world models.
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