Hiroshima University Syllabus

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Academic Year School/Graduate School Lecture Code 2022Year School of Informatics and Data Science KA228001 Specialized Education 経営・品質管理とデータ解析 ケイエイ・ヒンシツカンリトデータカイセキ Total Quality Management and Data Analysis MARUYAMA YUKIO,MUKAIDANI HIROAKI マルヤマ　ユキオ,ムカイダニ　ヒロアキ Higashi-Hiroshima 3rd-Year,  Second Semester,  Intensive (Int) Inte：ENG 102 Lecture 2.0 B : Japanese／English 3 : Undergraduate High-Intermediate 25 : Science and Technology 02 : Information Science Third Year Students 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. 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 lesson1 Quality Management in Management Engineeringlesson2 Basic of Quality Managementlesson3 QC Seven Toolslesson4 Seven Management Tools for TQMlesson5 Exercise 1lesson6 Basic of Statistical Methodlesson7 Control Chart 1lesson8 Control Chart 2lesson9 Statistical Testlesson10 Exercise 2lesson11 Design of Experiments 1lesson12 Design of Experiments 2lesson13 Sampling Inspection 1lesson14 Sampling Inspection 2lesson15 General Discussion and Setting a theme for an exam. Final Exam. [Reference book]ISBN 978-4-274-21996-2 (in Japanese) Lesson 1 Guidance and explanation of outlines of management engineering and quality managementLesson 2 Explanation of knowledge for quality and history for quality managementLesson 3 Explanation of QC seven tools and preparation of cause and effect diagramLesson 4 Explanation of seven management tools for TQM and preparation of arrow diagramLesson 5 Exercises of lesson 1 to lesson 4Lesson 6 Explanation of population, sample, variance and pareto diagramLesson 7 Explanation of control chart and preparation of control chart for X bar RLesson 8 Explanation of control chart and preparation of control chart for X tilde RLesson 9 Explanation of statistical test and preparation of t-testLesson 10 Exercises of lesson 6 to lesson 9Lesson 11 Explanation of design of experiments and preparation of one-way analysis of varianceLesson 12 Explanation of design of experiments and preparation of two-way analysis of varianceLesson 13 Explanation of sampling inspectionLesson 14 Preparation of sampling inspectionLesson 15 Preparation of final exam. 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. Two kinds of reports of exercises and final report are evaluated 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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