KA134001 Data Science and Management

Hiroshima University Syllabus

Japanese

Academic Year 2026Year School/Graduate School School of Informatics and Data Science

Lecture Code KA134001 Subject Classification Specialized Education

Subject Name データ科学とマネジメント

Subject Name
（Katakana）データカガクトマネジメント

Subject Name in
English Data Science and Management

Instructor OKAMURA HIROYUKI,KUSHIOKA KATSUAKI,KAKUNO MINA

Instructor
(Katakana) オカムラ　ヒロユキ,クシオカ　カツアキ,カクノ　ミナ

Campus Higashi-Hiroshima Semester/Term 2nd-Year, Second Semester, 3Term

Days, Periods, and Classrooms (3T) Fri5-8：IAS L102

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

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

Course Level 3 : Undergraduate High-Intermediate

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 01 : Mathematics/Statistics

Eligible Students

Keywords

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 "Data Science and Management," we invited lecturers from major companies and government agencies to discuss how the academic fields of computer science, data science, and intelligence science are being utilized in industry and society. I'll introduce you while I'm in the middle of the day. By learning the reality of DX (Digital Transformation), which is accelerating in various industries, we will discuss how to make use of data science knowledge and management skills.

Class Schedule Session 1 (October 3): Course Guidance
We will explain how the course will be conducted, including information about assignments and reports. Attendance is mandatory.

Session 2 (October 9): Hirogin Holdings, Inc.
“To be determined”

Session 3 (October 23): Fukuyama Transporting Co., Ltd.
“DX at Fukuyama Transporting”

Session 4 (October 30): Izumi Co., Ltd.
“DX Initiatives at Izumi Co., Ltd.”

Session 5 (November 6): Dream Arts Corporation
“What Is DX? — Meaning and Examples from the Perspective of a DX-Driven Company —”

Session 6 (November 13): Enecom Co., Ltd.
“Enecom’s Approach to DX”

Session 7 (November 20): Fukken Co., Ltd.
“Promoting Digital Transformation in the Construction Consulting Industry”

Session 8 (November 27): To be determined
“To be determined”

Text/Reference
Books,etc. Text books will not be used. Distributed materials will be limited to those that can be disclosed by each company.

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

(More Details)

Learning techniques to be incorporated Discussions, Post-class Report

Suggestions on
Preparation and
Review No particular preparation is required, but you will be required to review the content of the lectures as you will be asked to submit a report on the assignments assigned in each lecture. In addition, since the slides prepared by each company may contain sensitive information, please do not assume that you will obtain handouts, but try to organize the necessary items in a notebook.

Requirements

Grading Method Grades will be evaluated based on reports.

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message It is an omnibus lecture by six major companies and government agencies, and in each lecture, we will lecture on advanced DX initiatives that are being practiced.

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	2026Year	School/Graduate School	School of Informatics and Data Science
Lecture Code	KA134001	Subject Classification	Specialized Education
Subject Name	データ科学とマネジメント
Subject Name （Katakana）	データカガクトマネジメント
Subject Name in English	Data Science and Management
Instructor	OKAMURA HIROYUKI,KUSHIOKA KATSUAKI,KAKUNO MINA
Instructor (Katakana)	オカムラ　ヒロユキ,クシオカ　カツアキ,カクノ　ミナ
Campus	Higashi-Hiroshima	Semester/Term	2nd-Year, Second Semester, 3Term
Days, Periods, and Classrooms	(3T) Fri5-8：IAS L102
Lesson Style	Lecture	Lesson Style (More Details)	Face-to-face

Credits	2.0	Class Hours/Week	4	Language of Instruction	B : Japanese／English
Course Level	3 : Undergraduate High-Intermediate
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	01 : Mathematics/Statistics
Eligible Students
Keywords
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 "Data Science and Management," we invited lecturers from major companies and government agencies to discuss how the academic fields of computer science, data science, and intelligence science are being utilized in industry and society. I'll introduce you while I'm in the middle of the day. By learning the reality of DX (Digital Transformation), which is accelerating in various industries, we will discuss how to make use of data science knowledge and management skills.
Class Schedule	Session 1 (October 3): Course Guidance We will explain how the course will be conducted, including information about assignments and reports. Attendance is mandatory. Session 2 (October 9): Hirogin Holdings, Inc. “To be determined” Session 3 (October 23): Fukuyama Transporting Co., Ltd. “DX at Fukuyama Transporting” Session 4 (October 30): Izumi Co., Ltd. “DX Initiatives at Izumi Co., Ltd.” Session 5 (November 6): Dream Arts Corporation “What Is DX? — Meaning and Examples from the Perspective of a DX-Driven Company —” Session 6 (November 13): Enecom Co., Ltd. “Enecom’s Approach to DX” Session 7 (November 20): Fukken Co., Ltd. “Promoting Digital Transformation in the Construction Consulting Industry” Session 8 (November 27): To be determined “To be determined”
Text/Reference Books,etc.	Text books will not be used. Distributed materials will be limited to those that can be disclosed by each company.
PC or AV used in Class,etc.	Handouts, Microsoft Teams, Zoom, moodle
(More Details)
Learning techniques to be incorporated	Discussions, Post-class Report
Suggestions on Preparation and Review	No particular preparation is required, but you will be required to review the content of the lectures as you will be asked to submit a report on the assignments assigned in each lecture. In addition, since the slides prepared by each company may contain sensitive information, please do not assume that you will obtain handouts, but try to organize the necessary items in a notebook.
Requirements
Grading Method	Grades will be evaluated based on reports.
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message	It is an omnibus lecture by six major companies and government agencies, and in each lecture, we will lecture on advanced DX initiatives that are being practiced.
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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