Tags: Simulation & Modeling Syllabus, ME/M.Tech 2nd semester Syllabus, Elective-3 MCSE/MCTA-205 Syllabus, ME/M.Tech Second Semester Syllabus, Computer Tech. & Applications M.Tech Syllabus, Software Systems M.Tech Syllabus
Rajiv Gandhi Technological University, Bhopal (MP)
Computer Tech. & Applications (UTD, RGTU, Bpl)
Software Systems SATI (Vidisha)
ME/M.Tech. 1st FIRST SEMESTER SYLLABUS
Elective-I MCSE/MCTA-205
Simulation & Modeling Syllabus
Computer Tech. & Applications (UTD, RGTU, Bpl)
Software Systems SATI (Vidisha)
ME/M.Tech. 1st FIRST SEMESTER SYLLABUS
Elective-I MCSE/MCTA-205
Simulation & Modeling Syllabus
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
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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