KA133001 Information Processing and Industry

Hiroshima University Syllabus

Japanese

Academic Year 2025Year School/Graduate School School of Informatics and Data Science

Lecture Code KA133001 Subject Classification Specialized Education

Subject Name 情報処理と産業

Subject Name
（Katakana）ジョウホウショリトサンギョウ

Subject Name in
English Information Processing and Industry

Instructor DOHI TADASHI,KUSHIOKA KATSUAKI,TING HIAN ANN,KAKUNO MINA,NAMEKAWA YUSUKE

Instructor
(Katakana) ドヒ　タダシ,クシオカ　カツアキ,ティン　ヒェン　アン,カクノ　ミナ,ナメカワ　ユウスケ

Campus Higashi-Hiroshima Semester/Term 2nd-Year, First Semester, 1Term

Days, Periods, and Classrooms (1T) Mon5-8：ECON B155

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

Omnibus Style in each day

Credits 2.0 Class Hours/Week 4 Language of Instruction J : Japanese

Course Level 1 : Undergraduate Introductory

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 02 : Information Science

Eligible Students Third Year Students

Keywords Practical Course, Digital Transformation (DX)

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) Computer Science Program
（Knowledge and Understanding）
・C1. Knowledge and ability to work on problem-solving after understanding that various issues existing in human beings, society, and individuals can be interpreted in multiple ways depending on social conditions and culture.

Data Science Program
（Knowledge and Understanding）
・C1. Knowledge and ability to work on problem-solving after understanding that various issues existing in human beings, society, and individuals can be interpreted in multiple ways depending on social conditions and culture.

Intelligence Science Program
（Knowledge and Understanding）
・C1. Knowledge and ability to work on problem-solving after understanding that various issues existing in human beings, society, and individuals can be interpreted in multiple ways depending on social conditions and culture.

Class Objectives
/Class Outline In this course, we invite practitioners/managers from seven major companies in local,
and summarizes the current progress and practical examples in computer science, data
science and intelligence science, which are demanded in industry and society. We discuss
the accelerated digital transformation (DX) performed in industry and learn how to utilize
the knowledge and skill acquired in the university courses to the industry.

Class Schedule Course registration guidance
Explanation of how to proceed with the lecture, reports, etc. Attendance is required.
The CHUGOKU Electric Power CO.,INC.
Digital Human Resources and DX Case Study required by Electric Power Companies
Micron Memory Japan
Information Utilization in the Manufacturing Industry - A Case Study of a Leading-Edge Semiconductor Memory Factory
JFE Steel Corporation
Digital Transformation at JFE Steel Corporation
Satake Corporation
Transformation of a Food Processing Machinery and Plant Equipment Manufacturer into a Service Provider Using Digital Data
Mazda Motor Corporation
Digital Innovation in the Automotive Industry
Otafuku Holdings Co., Ltd.
Digital Innovation at Otafuku Sauce - Past and Future
Toppan Printing Co., Ltd.
Using Digital to Solve Local Issues

Need to complete the report for each lecture.

Text/Reference
Books,etc. Text books will not be used.

PC or AV used in
Class,etc. Handouts, Microsoft Teams, moodle

(More Details)

Learning techniques to be incorporated Discussions

Suggestions on
Preparation and
Review No preparation is required, but the review of the contents for each lecture may be needed to complete the report. Handouts may not be provided in terms of the information protection in each company, so students should take notes in each lecture.

Requirements

Grading Method All reports have to be submitted by the due dates. Students are requested to attend all lectures.

Practical Experience Experienced

Summary of Practical Experience and Class Contents based on it This course is given by practitioners in local industry.

Message

Other

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	School of Informatics and Data Science
Lecture Code	KA133001	Subject Classification	Specialized Education
Subject Name	情報処理と産業
Subject Name （Katakana）	ジョウホウショリトサンギョウ
Subject Name in English	Information Processing and Industry
Instructor	DOHI TADASHI,KUSHIOKA KATSUAKI,TING HIAN ANN,KAKUNO MINA,NAMEKAWA YUSUKE
Instructor (Katakana)	ドヒ　タダシ,クシオカ　カツアキ,ティン　ヒェン　アン,カクノ　ミナ,ナメカワ　ユウスケ
Campus	Higashi-Hiroshima	Semester/Term	2nd-Year, First Semester, 1Term
Days, Periods, and Classrooms	(1T) Mon5-8：ECON B155
Lesson Style	Lecture	Lesson Style (More Details)	Face-to-face
Omnibus Style in each day
Credits	2.0	Class Hours/Week	4	Language of Instruction	J : Japanese
Course Level	1 : Undergraduate Introductory
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	02 : Information Science
Eligible Students	Third Year Students
Keywords	Practical Course, Digital Transformation (DX)
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)	Computer Science Program （Knowledge and Understanding）・C1. Knowledge and ability to work on problem-solving after understanding that various issues existing in human beings, society, and individuals can be interpreted in multiple ways depending on social conditions and culture. Data Science Program （Knowledge and Understanding）・C1. Knowledge and ability to work on problem-solving after understanding that various issues existing in human beings, society, and individuals can be interpreted in multiple ways depending on social conditions and culture. Intelligence Science Program （Knowledge and Understanding）・C1. Knowledge and ability to work on problem-solving after understanding that various issues existing in human beings, society, and individuals can be interpreted in multiple ways depending on social conditions and culture.
Class Objectives /Class Outline	In this course, we invite practitioners/managers from seven major companies in local, and summarizes the current progress and practical examples in computer science, data science and intelligence science, which are demanded in industry and society. We discuss the accelerated digital transformation (DX) performed in industry and learn how to utilize the knowledge and skill acquired in the university courses to the industry.
Class Schedule	Course registration guidance Explanation of how to proceed with the lecture, reports, etc. Attendance is required. The CHUGOKU Electric Power CO.,INC. Digital Human Resources and DX Case Study required by Electric Power Companies Micron Memory Japan Information Utilization in the Manufacturing Industry - A Case Study of a Leading-Edge Semiconductor Memory Factory JFE Steel Corporation Digital Transformation at JFE Steel Corporation Satake Corporation Transformation of a Food Processing Machinery and Plant Equipment Manufacturer into a Service Provider Using Digital Data Mazda Motor Corporation Digital Innovation in the Automotive Industry Otafuku Holdings Co., Ltd. Digital Innovation at Otafuku Sauce - Past and Future Toppan Printing Co., Ltd. Using Digital to Solve Local Issues Need to complete the report for each lecture.
Text/Reference Books,etc.	Text books will not be used.
PC or AV used in Class,etc.	Handouts, Microsoft Teams, moodle
(More Details)
Learning techniques to be incorporated	Discussions
Suggestions on Preparation and Review	No preparation is required, but the review of the contents for each lecture may be needed to complete the report. Handouts may not be provided in terms of the information protection in each company, so students should take notes in each lecture.
Requirements
Grading Method	All reports have to be submitted by the due dates. Students are requested to attend all lectures.
Practical Experience	Experienced
Summary of Practical Experience and Class Contents based on it	This course is given by practitioners in local industry.
Message
Other
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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