WG144021 Exercises in Applied Mathematics and Computational Science A

Hiroshima University Syllabus

Japanese

Academic Year 2025Year School/Graduate School Graduate School of Integrated Sciences for Life (Master's Course) Division of Integrated Sciences for Life Program of Mathematical and Life Sciences

Lecture Code WG144021 Subject Classification Specialized Education

Subject Name 数理計算理学特別演習Ａ

Subject Name
（Katakana）スウリケイサンリガクトクベツエンシュウエー

Subject Name in
English Exercises in Applied Mathematics and Computational Science A

Instructor OHNISHI ISAMU

Instructor
(Katakana) オオニシ　イサム

Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  First Semester

Days, Periods, and Classrooms (1st) Inte：Faculty Office

Lesson Style Seminar Lesson Style
(More Details) Face-to-face

Focus on exercises, extensive use of blackboard writing, discussion, student presentations

Credits 2.0 Class Hours/Week 　 Language of Instruction J : Japanese

Course Level 6 : Graduate Advanced

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 01 : Mathematics/Statistics

Eligible Students

Keywords The intersection of control engineering and mathematical science
Model predictive control
Industry-academia collaboration with engineering manufacturing

Special Subject for Teacher Education 　 Special Subject 　

Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) The lab's catchphrase is "At the intersection of control engineering and mathematical science."

We will slowly put this into practice.

In the first semester, we will aim to simulate the case studies given in the textbook by ourselves using MATLAB and Simulink.
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)

Class Objectives
/Class Outline We will slowly put this into practice.

In the first semester, we will aim to simulate the case studies given in the textbook by ourselves using MATLAB and Simulink.

Class Schedule 1st session: Study group and case study (mainly simulation) 1
2nd session: Study group and case study (mainly simulation) 2
3rd session: Study group and case study (mainly simulation) 3
4th session: Study group and case study (mainly simulation) 4
5th session: Study group and case study (mainly simulation) 5
6th session: Study group and case study (mainly simulation) 6
7th session: Study group and case study (mainly simulation) 7
8th session: Study group and case study (mainly simulation)
Session 9: Discussion and case study (mainly simulation) 9
Session 10: Discussion and case study (mainly simulation) 10
Session 11: Discussion and case study (mainly simulation) 11
Session 12: Discussion and case study (mainly simulation) 12
Session 13: Discussion and case study (mainly simulation) 13
Session 14: Discussion and case study (mainly simulation) 14
Session 15: Discussion and case study (mainly simulation) 15

The assessment will be based on a comprehensive assessment of regular seminar participation, learning attitude, and the scores on report assignments.

Text/Reference
Books,etc. Only in Japanese, (Basic Control Theory, automatic self-control)

1. 新版フィードバック制御の基礎　片山徹　著　（朝倉書店）
2. 工学部で学ぶ数学　千葉逸人　著　　（プレアデス）
3. 線型代数と固有値問題 --スペクトル分解を中心に--  笠原晧司  著
4. Predictive control with constraints  J. M. Maciejowski 著　（Pearson educational L.t.d. inc.）
5. 基礎自動制御　相良節夫著　（森北出版）

PC or AV used in
Class,etc. Text, Handouts, Other (see [More Details])

(More Details) Use Simulink basic on MATLAB online!

Learning techniques to be incorporated Discussions, Quizzes/ Quiz format, Post-class Report

Suggestions on
Preparation and
Review Please draw a block diagram of the specific engineering control systems that come up during the discussion and perform a Simulink simulation.

Requirements During March, please complete the basic free tutorials on MATLAB online that are related to MATLAB and SIMULINK, and then start the new semester.

Grading Method The overall assessment,

including lecture attendance, will be based on 30%, and

Attempts at and scores on report assignments: 70%

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message

Other When you go out for teaching practice or company visits, be sure to send an email early.

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	2025Year	School/Graduate School	Graduate School of Integrated Sciences for Life (Master's Course) Division of Integrated Sciences for Life Program of Mathematical and Life Sciences
Lecture Code	WG144021	Subject Classification	Specialized Education
Subject Name	数理計算理学特別演習Ａ
Subject Name （Katakana）	スウリケイサンリガクトクベツエンシュウエー
Subject Name in English	Exercises in Applied Mathematics and Computational Science A
Instructor	OHNISHI ISAMU
Instructor (Katakana)	オオニシ　イサム
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, First Semester, First Semester
Days, Periods, and Classrooms	(1st) Inte：Faculty Office
Lesson Style	Seminar	Lesson Style (More Details)	Face-to-face
Focus on exercises, extensive use of blackboard writing, discussion, student presentations
Credits	2.0	Class Hours/Week		Language of Instruction	J : Japanese
Course Level	6 : Graduate Advanced
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	01 : Mathematics/Statistics
Eligible Students
Keywords	The intersection of control engineering and mathematical science Model predictive control Industry-academia collaboration with engineering manufacturing
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)	The lab's catchphrase is "At the intersection of control engineering and mathematical science." We will slowly put this into practice. In the first semester, we will aim to simulate the case studies given in the textbook by ourselves using MATLAB and Simulink.
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)
Class Objectives /Class Outline	We will slowly put this into practice. In the first semester, we will aim to simulate the case studies given in the textbook by ourselves using MATLAB and Simulink.
Class Schedule	1st session: Study group and case study (mainly simulation) 1 2nd session: Study group and case study (mainly simulation) 2 3rd session: Study group and case study (mainly simulation) 3 4th session: Study group and case study (mainly simulation) 4 5th session: Study group and case study (mainly simulation) 5 6th session: Study group and case study (mainly simulation) 6 7th session: Study group and case study (mainly simulation) 7 8th session: Study group and case study (mainly simulation) Session 9: Discussion and case study (mainly simulation) 9 Session 10: Discussion and case study (mainly simulation) 10 Session 11: Discussion and case study (mainly simulation) 11 Session 12: Discussion and case study (mainly simulation) 12 Session 13: Discussion and case study (mainly simulation) 13 Session 14: Discussion and case study (mainly simulation) 14 Session 15: Discussion and case study (mainly simulation) 15 The assessment will be based on a comprehensive assessment of regular seminar participation, learning attitude, and the scores on report assignments.
Text/Reference Books,etc.	Only in Japanese, (Basic Control Theory, automatic self-control) 1. 新版フィードバック制御の基礎　片山徹　著　（朝倉書店） 2. 工学部で学ぶ数学　千葉逸人　著　　（プレアデス） 3. 線型代数と固有値問題 --スペクトル分解を中心に-- 笠原晧司著 4. Predictive control with constraints J. M. Maciejowski 著　（Pearson educational L.t.d. inc.） 5. 基礎自動制御　相良節夫著　（森北出版）
PC or AV used in Class,etc.	Text, Handouts, Other (see [More Details])
(More Details)	Use Simulink basic on MATLAB online!
Learning techniques to be incorporated	Discussions, Quizzes/ Quiz format, Post-class Report
Suggestions on Preparation and Review	Please draw a block diagram of the specific engineering control systems that come up during the discussion and perform a Simulink simulation.
Requirements	During March, please complete the basic free tutorials on MATLAB online that are related to MATLAB and SIMULINK, and then start the new semester.
Grading Method	The overall assessment, including lecture attendance, will be based on 30%, and Attempts at and scores on report assignments: 70%
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message
Other	When you go out for teaching practice or company visits, be sure to send an email early.
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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