CS40018: Modeling And Simulation

CS40018
Course name	Modeling And Simulation
Offered by	Computer Science & Engineering
Credits	3
L-T-P	3-0-0
Previous Year Grade Distribution
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Semester	Spring

Syllabus

Syllabus mentioned in ERP

System models and role of simulation. Entities, Attributes, States and Activities. Types of systems: Deterministic, Stochastic, Continuous and Discrete systems. Steps in simulation studies. Statistical tools and techniques: generation of pseudorandom numbers, random variate generation for uniform, Poisson and normal distributions, sampling and estimation, maximum likelihood estimation, confidence intervals and hypothesis testing, stochastic processes and Markov models. Discrete event simulation languages. Simulation of inventory and queuing systems: single and multiserver queues, network of queues. Modeling and performance evaluation of computers and computer communication networks. Workload characterization. Continuous system simulation languages, growth and decay models, system dynamics diagrams. Biological and Sociological system simulation. Verification and validation of simulation models: input/output validation, sensitivity analysis, performance measures and their estimation. Case studies.