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College of Engineering & Technology  Alexandria

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Modeling and Simulation

  • Computer Engineering |

Description

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Program

Bachelor Degree in Computer Engineering

Objectives

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

Textbook

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Course Content

content serial Description
1Week Number 1 : Random Variables and Probability Theory.
2Week Number 2 : Parametric Estimation of Mean, variance, Covariance, Correlation.
3Week Number 3 : Joint and Conditional Distributions.
4Week Number 4 : Introduction to Simulation Software.
5Week Number 5 : Introduction to Queuing Models.
6Week Number 6 : Simulation models.
7Week Number 7 : 7th week exam + Simulation Models.
8Week Number 8 : Scatter Diagrams.
9Week Number 9 : Goodness of Fit Tests.
10Week Number 10 : Generation of Random variables.
11Week Number 11 : Random variables Generation Methods.
12Week Number 12 : 12th week exam + Random Variables Generation Methods.
13Week Number 13 : Maximum Likelihood Estimator.
14Week Number 14 : Stochastic and Heuristic Processes.
15Week Number 15 : State Diagrams.
16Week Number 16 : Presentation of projects and Final Exam.
1Week Number 1 : Random Variables and Probability Theory.
2Week Number 2 : Parametric Estimation of Mean, variance, Covariance, Correlation.
3Week Number 3 : Joint and Conditional Distributions.
4Week Number 4 : Introduction to Simulation Software.
5Week Number 5 : Introduction to Queuing Models.
6Week Number 6 : Simulation models.
7Week Number 7 : 7th week exam + Simulation Models.
8Week Number 8 : Scatter Diagrams.
9Week Number 9 : Goodness of Fit Tests.
10Week Number 10 : Generation of Random variables.
11Week Number 11 : Random variables Generation Methods.
12Week Number 12 : 12th week exam + Random Variables Generation Methods.
13Week Number 13 : Maximum Likelihood Estimator.
14Week Number 14 : Stochastic and Heuristic Processes.
15Week Number 15 : State Diagrams.
16Week Number 16 : Presentation of projects and Final Exam.
1Week Number 1 : Random Variables and Probability Theory.
2Week Number 2 : Parametric Estimation of Mean, variance, Covariance, Correlation.
3Week Number 3 : Joint and Conditional Distributions.
4Week Number 4 : Introduction to Simulation Software.
5Week Number 5 : Introduction to Queuing Models.
6Week Number 6 : Simulation models.
7Week Number 7 : 7th week exam + Simulation Models.
8Week Number 8 : Scatter Diagrams.
9Week Number 9 : Goodness of Fit Tests.
10Week Number 10 : Generation of Random variables.
11Week Number 11 : Random variables Generation Methods.
12Week Number 12 : 12th week exam + Random Variables Generation Methods.
13Week Number 13 : Maximum Likelihood Estimator.
14Week Number 14 : Stochastic and Heuristic Processes.
15Week Number 15 : State Diagrams.
16Week Number 16 : Presentation of projects and Final Exam.
1Week Number 1 : Random Variables and Probability Theory.
2Week Number 2 : Parametric Estimation of Mean, variance, Covariance, Correlation.
3Week Number 3 : Joint and Conditional Distributions.
4Week Number 4 : Introduction to Simulation Software.
5Week Number 5 : Introduction to Queuing Models.
6Week Number 6 : Simulation models.
7Week Number 7 : 7th week exam + Simulation Models.
8Week Number 8 : Scatter Diagrams.
9Week Number 9 : Goodness of Fit Tests.
10Week Number 10 : Generation of Random variables.
11Week Number 11 : Random variables Generation Methods.
12Week Number 12 : 12th week exam + Random Variables Generation Methods.
13Week Number 13 : Maximum Likelihood Estimator.
14Week Number 14 : Stochastic and Heuristic Processes.
15Week Number 15 : State Diagrams.
16Week 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.
Courses
  • Degree Bachelor
  • Code: CC517
  • Credit hrs: 3
  • Prequisites:
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