Hiroshima University Syllabus

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Academic Year 2022Year School/Graduate School School of Informatics and Data Science
Lecture Code KA228001 Subject Classification Specialized Education
Subject Name 経営・品質管理とデータ解析
Subject Name
Subject Name in
Total Quality Management and Data Analysis
マルヤマ ユキオ,ムカイダニ ヒロアキ
Campus Higashi-Hiroshima Semester/Term 3rd-Year,  Second Semester,  Intensive
Days, Periods, and Classrooms (Int) Inte:ENG 102
Lesson Style Lecture Lesson Style
(More Details)
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) 02 : Information Science
Eligible Students Third Year Students
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Criterion referenced
Informatics and Data Science Program
(Comprehensive Abilities)
・D3. Ability to examine social needs and issues which are interlinked in a complex manner, using a top-down view to solve the problems through quantitative and logical thinking based on data, diverse perspectives, and advanced skills in information processing and analysis.
Class Objectives
/Class Outline
In this course, you will learn following two matters;
(1) To understand the necessity and method of QC seven tools
(2) To understand the basic of statistical method for quality management 
Class Schedule lesson1 Quality Management in Management Engineering
lesson2 Basic of Quality Management
lesson3 QC Seven Tools
lesson4 Seven Management Tools for TQM
lesson5 Exercise 1
lesson6 Basic of Statistical Method
lesson7 Control Chart 1
lesson8 Control Chart 2
lesson9 Statistical Test
lesson10 Exercise 2
lesson11 Design of Experiments 1
lesson12 Design of Experiments 2
lesson13 Sampling Inspection 1
lesson14 Sampling Inspection 2
lesson15 General Discussion and Setting a theme for an exam.

Final Exam.  
[Reference book]
ISBN 978-4-274-21996-2 (in Japanese) 
PC or AV used in
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
Lesson 1 Guidance and explanation of outlines of management engineering and quality management
Lesson 2 Explanation of knowledge for quality and history for quality management
Lesson 3 Explanation of QC seven tools and preparation of cause and effect diagram
Lesson 4 Explanation of seven management tools for TQM and preparation of arrow diagram
Lesson 5 Exercises of lesson 1 to lesson 4
Lesson 6 Explanation of population, sample, variance and pareto diagram
Lesson 7 Explanation of control chart and preparation of control chart for X bar R
Lesson 8 Explanation of control chart and preparation of control chart for X tilde R
Lesson 9 Explanation of statistical test and preparation of t-test
Lesson 10 Exercises of lesson 6 to lesson 9
Lesson 11 Explanation of design of experiments and preparation of one-way analysis of variance
Lesson 12 Explanation of design of experiments and preparation of two-way analysis of variance
Lesson 13 Explanation of sampling inspection
Lesson 14 Preparation of sampling inspection
Lesson 15 Preparation of final exam.  
Requirements You take care of date of lesson.
In this course, Microsoft Teams is used.
In each lesson, electronic supplementary materials (PDF type) are distributed.
If you submit both reports of Lesson 5 and Lesson 10, final report is evaluated.   
Grading Method Two kinds of reports of exercises and final report are evaluated  
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
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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