# Modeling and Simulation

• Computer Engineering |

#### Description

Data will be available soon!

#### Program

Bachelor Degree in Computer Engineering

#### Objectives

• â€¢ Understand the basic principles of the field of Modeling and Simulation. rnâ€¢ Use the modeling of queuing systems using Markov chains. rnâ€¢ Evaluate performance of queuing systems. rnâ€¢ Highlight the different stages in building a discrete event simulation model and the architecture of simulation softwarern

#### Textbook

Data will be available soon!

#### Course Content

content serial Description
 1 Week Number 1 : Random Variables and Probability Theory. 2 Week Number 2 : Parametric Estimation of Mean, variance, Covariance, Correlation. 3 Week Number 3 : Joint and Conditional Distributions. 4 Week Number 4 : Introduction to Simulation Software. 5 Week Number 5 : Introduction to Queuing Models. 6 Week Number 6 : Simulation models. 7 Week Number 7 : 7th week exam + Simulation Models. 8 Week Number 8 : Scatter Diagrams. 9 Week Number 9 : Goodness of Fit Tests. 10 Week Number 10 : Generation of Random variables. 11 Week Number 11 : Random variables Generation Methods. 12 Week Number 12 : 12th week exam + Random Variables Generation Methods. 13 Week Number 13 : Maximum Likelihood Estimator. 14 Week Number 14 : Stochastic and Heuristic Processes. 15 Week Number 15 : State Diagrams. 16 Week Number 16 : Presentation of projects and Final Exam. 1 Week Number 1 : Random Variables and Probability Theory. 2 Week Number 2 : Parametric Estimation of Mean, variance, Covariance, Correlation. 3 Week Number 3 : Joint and Conditional Distributions. 4 Week Number 4 : Introduction to Simulation Software. 5 Week Number 5 : Introduction to Queuing Models. 6 Week Number 6 : Simulation models. 7 Week Number 7 : 7th week exam + Simulation Models. 8 Week Number 8 : Scatter Diagrams. 9 Week Number 9 : Goodness of Fit Tests. 10 Week Number 10 : Generation of Random variables. 11 Week Number 11 : Random variables Generation Methods. 12 Week Number 12 : 12th week exam + Random Variables Generation Methods. 13 Week Number 13 : Maximum Likelihood Estimator. 14 Week Number 14 : Stochastic and Heuristic Processes. 15 Week Number 15 : State Diagrams. 16 Week Number 16 : Presentation of projects and Final Exam. 1 Week Number 1 : Random Variables and Probability Theory. 2 Week Number 2 : Parametric Estimation of Mean, variance, Covariance, Correlation. 3 Week Number 3 : Joint and Conditional Distributions. 4 Week Number 4 : Introduction to Simulation Software. 5 Week Number 5 : Introduction to Queuing Models. 6 Week Number 6 : Simulation models. 7 Week Number 7 : 7th week exam + Simulation Models. 8 Week Number 8 : Scatter Diagrams. 9 Week Number 9 : Goodness of Fit Tests. 10 Week Number 10 : Generation of Random variables. 11 Week Number 11 : Random variables Generation Methods. 12 Week Number 12 : 12th week exam + Random Variables Generation Methods. 13 Week Number 13 : Maximum Likelihood Estimator. 14 Week Number 14 : Stochastic and Heuristic Processes. 15 Week Number 15 : State Diagrams. 16 Week Number 16 : Presentation of projects and Final Exam. 1 Week Number 1 : Random Variables and Probability Theory. 2 Week Number 2 : Parametric Estimation of Mean, variance, Covariance, Correlation. 3 Week Number 3 : Joint and Conditional Distributions. 4 Week Number 4 : Introduction to Simulation Software. 5 Week Number 5 : Introduction to Queuing Models. 6 Week Number 6 : Simulation models. 7 Week Number 7 : 7th week exam + Simulation Models. 8 Week Number 8 : Scatter Diagrams. 9 Week Number 9 : Goodness of Fit Tests. 10 Week Number 10 : Generation of Random variables. 11 Week Number 11 : Random variables Generation Methods. 12 Week Number 12 : 12th week exam + Random Variables Generation Methods. 13 Week Number 13 : Maximum Likelihood Estimator. 14 Week Number 14 : Stochastic and Heuristic Processes. 15 Week Number 15 : State Diagrams. 16 Week Number 16 : Presentation of projects and Final Exam.

#### Markets and Career

• Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
• Electrical power feeding for civil and military marine and aviation utilities.
• Electrical works in construction engineering.