K6716020 Exercises in Systems Planning and Control

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School School of Engineering

Lecture Code K6716020 Subject Classification Specialized Education

Subject Name システム計画管理演習

Subject Name
（Katakana）システムケイカクカンリエンシュウ

Subject Name in
English Exercises in Systems Planning and Control

Instructor HAYASHIDA TOMOHIRO,MORIKAWA KATSUMI

Instructor
(Katakana) ハヤシダ　トモヒロ,モリカワ　カツミ

Campus Higashi-Hiroshima Semester/Term 3rd-Year,  First Semester,  2Term

Days, Periods, and Classrooms (2T) Fri3-4：ENG 103

Lesson Style Seminar Lesson Style
(More Details) 　

In each lesson, the contents of exercises are explained first, and then each student must do the indicated tasks individually and submit them. The procedure of this lecture (Face-to-Face / online) will be decided based on Hiroshima University's policy. The procedure will be announced using the bulletin board of Momiji to the registered students.

Credits 1.0 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), 3rd year students

Keywords mathematical programming, optimization, modeling, data collection and analysis

Special Subject for Teacher Education 　 Special Subject 　

Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) 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 Acquire basic technical skills such as modeling the problem, applying appropriate optimization techniques, collecting and analyzing data appropriately to make reasonable decisions.

Class Schedule lesson 1 Guidance, Basics of R  (Morikawa)
lesson 2 Data visualization by using histogram and other graphs (Morikawa)
lesson 3 Describing distributions with numbers and drawing figures (Morikawa)
lesson 4 Important distributions (Morikawa)
lesson 5 Sampling and errors  (Morikawa)
lesson 6 Sampling design (Morikawa)
lesson 7, lesson 8 Basics of control chart (Morikawa)
lesson 9 Formulation of mathematical programming problem (basic) (Hayashida)
lesson 10 formulation of mathematical programming problem (application) (Hayashida)
lesson 11 Simplex method(1) (Hayashida)
lesson 12 Simplex method(2) (Hayashida)
lesson 13 Branch and bound method for 0-1 planning problems and integer programming problems (Hayashida)
lesson 14, lesson 15, lesson 16 Condition of optimality for example of nonlinear programming problem (1), (2), (3) (Hayashida)

Text/Reference
Books,etc. Text books
坂和正敏，西崎一郎，「数理計画法入門」森北出版，2014.
References

熊原啓作，渡辺美智子，「改訂版　身近な統計」，放送大学教材，2012.
David S. Moore, George P. McCabe, Bruce A. Craig, Introduction to the Practice of Statistics, Seventh Edition, W. H. Freeman and Company, 2012.

PC or AV used in
Class,etc. 　

(More Details) Text, PowerPoint.

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review For new topics, strengthen your understanding by finding other related references. Please find appropriate information about your software.

Requirements Bring your personal computer.

Grading Method Each submitted report, including a short quiz, is evaluated. The maximum score of the sum of all reports is 100. A pass grade is 60 or more.

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message

Other In the lecture, Japanese is used as the basic language, and some technical terms are introduced in English.

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.

Academic Year	2024Year	School/Graduate School	School of Engineering
Lecture Code	K6716020	Subject Classification	Specialized Education
Subject Name	システム計画管理演習
Subject Name （Katakana）	システムケイカクカンリエンシュウ
Subject Name in English	Exercises in Systems Planning and Control
Instructor	HAYASHIDA TOMOHIRO,MORIKAWA KATSUMI
Instructor (Katakana)	ハヤシダ　トモヒロ,モリカワ　カツミ
Campus	Higashi-Hiroshima	Semester/Term	3rd-Year, First Semester, 2Term
Days, Periods, and Classrooms	(2T) Fri3-4：ENG 103
Lesson Style	Seminar	Lesson Style (More Details)
In each lesson, the contents of exercises are explained first, and then each student must do the indicated tasks individually and submit them. The procedure of this lecture (Face-to-Face / online) will be decided based on Hiroshima University's policy. The procedure will be announced using the bulletin board of Momiji to the registered students.
Credits	1.0	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), 3rd year students
Keywords	mathematical programming, optimization, modeling, data collection and analysis
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)	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	Acquire basic technical skills such as modeling the problem, applying appropriate optimization techniques, collecting and analyzing data appropriately to make reasonable decisions.
Class Schedule	lesson 1 Guidance, Basics of R (Morikawa) lesson 2 Data visualization by using histogram and other graphs (Morikawa) lesson 3 Describing distributions with numbers and drawing figures (Morikawa) lesson 4 Important distributions (Morikawa) lesson 5 Sampling and errors (Morikawa) lesson 6 Sampling design (Morikawa) lesson 7, lesson 8 Basics of control chart (Morikawa) lesson 9 Formulation of mathematical programming problem (basic) (Hayashida) lesson 10 formulation of mathematical programming problem (application) (Hayashida) lesson 11 Simplex method(1) (Hayashida) lesson 12 Simplex method(2) (Hayashida) lesson 13 Branch and bound method for 0-1 planning problems and integer programming problems (Hayashida) lesson 14, lesson 15, lesson 16 Condition of optimality for example of nonlinear programming problem (1), (2), (3) (Hayashida)
Text/Reference Books,etc.	Text books 坂和正敏，西崎一郎，「数理計画法入門」森北出版，2014. References 熊原啓作，渡辺美智子，「改訂版　身近な統計」，放送大学教材，2012. David S. Moore, George P. McCabe, Bruce A. Craig, Introduction to the Practice of Statistics, Seventh Edition, W. H. Freeman and Company, 2012.
PC or AV used in Class,etc.
(More Details)	Text, PowerPoint.
Learning techniques to be incorporated
Suggestions on Preparation and Review	For new topics, strengthen your understanding by finding other related references. Please find appropriate information about your software.
Requirements	Bring your personal computer.
Grading Method	Each submitted report, including a short quiz, is evaluated. The maximum score of the sum of all reports is 100. A pass grade is 60 or more.
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message
Other	In the lecture, Japanese is used as the basic language, and some technical terms are introduced in English.
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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