Hiroshima University Syllabus

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Academic Year 2022Year School/Graduate School School of Engineering
Lecture Code K6713020 Subject Classification Specialized Education
Subject Name シミュレーション工学
Subject Name
Subject Name in
Simulation Engineering
タカハシ カツヒコ
Campus Higashi-Hiroshima Semester/Term 2nd-Year,  Second Semester,  3Term
Days, Periods, and Classrooms (3T) Mon1-4:ENG 218
Lesson Style Lecture Lesson Style
(More Details)
The lesson style of this lecture (Face-to-Face / online) will be decided based on Hiroshima University's policy. The style will be announced using the bulletin board of Momiji to the registered students.  
Credits 2.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 3 : Undergraduate High-Intermediate
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 11 : Electrical, Systems, and Control Engineering
Eligible Students Cluster 2 (Electrical, Computer and Systems Engineering), 2nd year students
Keywords Continuous System, Discrete (Event) System, Stocastic System, Simulation 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Criterion referenced
Program of Electrical,Systems and Information Engineering
(Abilities and Skills)
・Concepts, knowledge and methods which are the basis for studies related to electrical, systems, and information engineering. 
Class Objectives
/Class Outline
The neccesity to utilize simulation increases more and more as the objective system becomes larger and larger. This lecture explains various systems, their models, and techniques of simulation to utilize the models for analyzing the systems. The techniques for stochastic simulation, continuous simulation and discrete event simulation are explained. 
Class Schedule Part I: Introduction of simulation and stchastic simulation
lesson 1  Introduction of simulation, model
lesson 2  Stochastic simulation (1): Uniform random number generation
lesson 3  Stochastic simulation (2): Nonuniform random number generation
lesson 4  Stochastic simulation (3): Monte Carlo Simulation
lesson 5  Exercise (1): Exercise of stochastic simulation
Part II: Time slice simulation (Continuous simulation)
lesson 6  Time slice simulation (1): Difference method for the initial value problem of ordinary differential equation
lesson 7  Time slice simulation (2): Numerical methods for various problems of ordinary differential equation
lesson 8  Time slice simulation (3): Numerical methods for the problems of partial differential equation
lesson 9  Cases of time slice simulation
lesson 10  Exercise (2): Exercise of time slice simulation
Part III: Discrete event simulation, evaluation and optimization of simulation results
lesson 11  Introduction of discrete event simulation
lesson 12  Discrete event simulation of production and inventory systems
lesson 13  Evaluation of simulation results
lesson 14  Optimization of simulation results
lesson 15  Exercise (3): Exercise of discrete event simulation

Three reports and final test 
K. Takahashi, Y. Seki, Y. Hirakawa, T. Irohara, and K. Morikawa, Simulation Engineering, Asakura Publishing, 2007. 
PC or AV used in
(More Details) Powerpoint, Delivered materials
Personal Computer 
Learning techniques to be incorporated  
Suggestions on
Preparation and
lesson 1  Please study fundamentals of simulation, model.
lesson 2  Please study methods for uniform random number generation.
lesson 3  Please study methods for nonuniform random number generation.
lesson 4  Please study methods for Monte Carlo simulation.
lesson 5  Please exercise stochastic simulation.
lesson 6  Please study difference method for the initial value problem of ordinary differential equation.
lesson 7  Please study numerical methods for various problems of ordinary differential equation.
lesson 8  Please study numerical methods for the problems of partial differential equation.
lesson 9  Please study cases of time slice simulation
lesson 10  Please exercise time slice simulation.
lesson 11  Please study fundamentals of discrete event simulation.
lesson 12  Please study methods for discrete event simulation of production and inventory systems.
lesson 13  Please study methods for evaluating simulation results.
lesson 14  Please study methods for optimizing simulation results.
lesson 15  Please exercise discrete event simulation and analyzing and optimizing simulation results.  
Grading Method Attendance of lecture including exercise in each lesson (10%), Reports (30%),  and Final Test (60%) 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message Please bring pearsonal computer 
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. 
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