KA133001 Information Processing and Industry

Hiroshima University Syllabus

Japanese

Academic Year 2024Year 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 MUKAIDANI HIROAKI,KUSHIOKA KATSUAKI,TING HIAN ANN,KAKUNO MINA,NAMEKAWA YUSUKE

Instructor
(Katakana) ムカイダニ　ヒロアキ,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) 　

Omnibus Style in each day

Credits 2.0 Class Hours/Week 　 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 ``Generalized Linear Model (GLM)'' is replaced by ``Information Processing and Industry''.

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 April 8, 2024 (Monday) Course registration guidance
Explanation of how to proceed with the lecture, reports, etc. Attendance is required.
The 2nd and 3rd The CHUGOKU Electric Power CO.,INC.
Monday, April 15, 2024
Digital Human Resources and DX Case Study required by Electric Power Companies
4th & 5th Micron Memory Japan
Monday, April 22, 2024
Information Utilization in the Manufacturing Industry - A Case Study of a Leading-Edge Semiconductor Memory Factory
6th & 7th JFE Steel Corporation
Tuesday, April 30, 2024
Digital Transformation at JFE Steel Corporation
8th and 9th Satake Corporation
Monday, May 13, 2024
Transformation of a Food Processing Machinery and Plant Equipment Manufacturer into a Service Provider Using Digital Data
10th and 11th Mazda Motor Corporation
Monday, May 20, 2024
Digital Innovation in the Automotive Industry
12th & 13th Otafuku Holdings Co., Ltd.
Monday, May 27, 2024
Digital Innovation at Otafuku Sauce - Past and Future
14th & 15th Toppan Printing Co., Ltd.
Monday, June 3, 2024
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. 　

(More Details)

Learning techniques to be incorporated 　

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	2024Year	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	MUKAIDANI HIROAKI,KUSHIOKA KATSUAKI,TING HIAN ANN,KAKUNO MINA,NAMEKAWA YUSUKE
Instructor (Katakana)	ムカイダニ　ヒロアキ,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)
Omnibus Style in each day
Credits	2.0	Class Hours/Week		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	``Generalized Linear Model (GLM)'' is replaced by ``Information Processing and Industry''. 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	April 8, 2024 (Monday) Course registration guidance Explanation of how to proceed with the lecture, reports, etc. Attendance is required. The 2nd and 3rd The CHUGOKU Electric Power CO.,INC. Monday, April 15, 2024 Digital Human Resources and DX Case Study required by Electric Power Companies 4th & 5th Micron Memory Japan Monday, April 22, 2024 Information Utilization in the Manufacturing Industry - A Case Study of a Leading-Edge Semiconductor Memory Factory 6th & 7th JFE Steel Corporation Tuesday, April 30, 2024 Digital Transformation at JFE Steel Corporation 8th and 9th Satake Corporation Monday, May 13, 2024 Transformation of a Food Processing Machinery and Plant Equipment Manufacturer into a Service Provider Using Digital Data 10th and 11th Mazda Motor Corporation Monday, May 20, 2024 Digital Innovation in the Automotive Industry 12th & 13th Otafuku Holdings Co., Ltd. Monday, May 27, 2024 Digital Innovation at Otafuku Sauce - Past and Future 14th & 15th Toppan Printing Co., Ltd. Monday, June 3, 2024 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.
(More Details)
Learning techniques to be incorporated
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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