| Area of Mathematics: | Statistics-Probability-Operational Research (ESPOR) | ||
| Semester: | 8ο | ||
| Course ID: | 82305 | ||
| Course Type: | Elective | ||
| Teaching hours per week: | Theory: 3 | Practice: 0 | Laboratory: 0 |
| ECTS : | 5 | ||
| Eclass: | |||
| Instructors: | |||
Simulation and modeling, Structure and construction of Simulation models, Design of simulation experiments, Simulation of telecommunication systems and data dissemination networks, Study of their performance and behavior and statistical analysis of their important characteristics, such as error probability or signal strength to noise ratio, noise to noise Configuration Numbers Generators, Monte Carlo Integration, Generation of False Numbers, Methods of Generating Random Numbers from Specific Distributions (Discrete Uniform, Geometric Distribution, Poisson Distribution, Binomial Distribution, Uniform Distribution, Exponential Distribution, Beta Distribution, Gamma Distribution, Normal Distribution), The Inversion Method, The Rejection Method, The Synthesis Method, Stochastic Interactive Simulation Models (refinement method, intermediate generation method, transformation method), Simulation of stochastic models in time, Simulation of computer network service systems (M|M|1, GΙ|G|1 service system), Simulation and optimization of Control Charts in Statistical Quality Control, Assessment of typical case controls, Estimation of p-value, strength in case controls, Learning of appropriate software for the development and implementation of Simulation programs.
- B. Khoshnevis, B. (1999). Discrete Systems Simulation, McGraw-Hill, 1994
- A.M. Law and D.D. Kelton, Simulation Modeling& Analysis, McGraw-Hill, 1991.a
