タイトル

科目番号
情411 
開講年度 期間 曜日時限 開講学部等
2016 後学期 金3 工学部情報工学科  
講義コード 科目名[英文名] 単位数
60102200 シミュレーション   2 
担当教員[ローマ字表記]
アシャリフモハマッド 
授業内容と方法
In this lecture, it is aimed to show how different real world systems could be modeled in a digital computer before making them. The system could be an economic or physical or even a society with definite reaction rules. Therefore, it will be easy to study the behavior of the system, no matter what is the area to be study, simulation helps to model the system in a different environments. For design engineers, managers, or for developing a hospital or hotel or to build a highway etc.all jobs and the persons who are responsible for establishing a new infrastructure, need to know the behavior or side reactions of the new developing system. Simulation is an easy tool to access to virtual reality before having and touching the real system.
 
達成目標
・ To understand simulation model, Discrete-Event Simulation (DES), time-advance mechanism in simulation.
・ To analysis single-sever queuing system and job-shop machine in order to evaluate the system from three points of view 1) Average Delay in Queue. 2) Average Number of Customers in Queue. 3) Machine Utilization.
・ To understand Monte Carlo simulation method to solve different problems.
・ To get familiar with basic theory of probability & random variables.
・ Algorithms for generation uniform & non-uniform random variables in simulation.
・ To use variance reduction techniques in simulation.
・ To know about object oriented simulation languages.
 
評価基準と評価方法
Quiz 10%+Practical Simulation Work 30%+ Midterm 30%+ LastExam. 30%
 
履修条件
Numerical Analysis, Computer Programming
 
授業計画
1)The nature of simulation, system, model and simulation.
2)Discrete-event simulation (DES), time-advance mechanisms.
3)Components of a DES model, Simulation of single-server queuing system.
4)Steps in a simulation study.
5)Monte Carlo and other type of simulation, other examples. Buffen's Needles Problem
6)Random variables, c.d.f., p.d.f., Joint and Marginal p.d.f. Geometric, Binomial
7)Poisson, Uniform, Normal, Exponential, Gamma, Chi-Square, Laplace,Logistic,Cauchy, Beta distributions, New random variables for old.
8)Mid -Term Examinations
9)Multidimensional random variables, Jacobian, Convolution.
10)Generating uniform random variables, Dice and machines, Pseudo-Random Numbers
11)Congruential pseudo-random number generators. Chaos System.
12)Particular method for non-uniform random variables.
13)General method for non-uniform random variables.
14)Monte Carlo Integration and Variance Reduction Techniques.
15)Simulation Softwares.
16)Last-Term Examination.
 
事前学習
1-Students must study the text book and understand it.
2-Students should perform 3 simulations and submit them.
3-Students should solve some example problems to understand how to answer the examinations.
 
事後学習
1- After each class students should study the text book in order to understand the class.
2- After training the simulation, students should perform simulation with different conditions.
3- Students should practice each chapter problems to understand its result.
 
教科書にかかわる情報
教科書 書名 ISBN
9780071255196
備考
著者名
出版社
出版年
NCID
教科書 書名
Also see: http://www.mhhe.com/engcs/industrial/lawkelton/
ISBN
備考
著者名
出版社
出版年
NCID
教科書 書名 ISBN
0412245906
備考
著者名
出版社
出版年
NCID
 
教科書全体備考
 
 
参考書にかかわる情報
 
参考書全体備考
 
 
使用言語
英語
 
メッセージ
The aim of this course is to read English textbook and could simulate different system in reality.
The result of simulation should be as near as possible to the result of real world.
 
オフィスアワー
Tues: 3:00-5:00, Fri:3:00-5:00
 
メールアドレス
ura.ie.classes.simulation, asharif@ie.u-ryukyu.ac.jp
 
URL
http://www.ie.u-ryukyu.ac.jp/~asharif/pukiwiki/index.php
 

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