KA305001 Long-term Fieldwork I

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School School of Informatics and Data Science

Lecture Code KA305001 Subject Classification Specialized Education

Subject Name 長期フィールドワークI

Subject Name
（Katakana）チョウキフィールドワーク１

Subject Name in
English Long-term Fieldwork I

Instructor MUKAIDANI HIROAKI,TING HIAN ANN,OKAMURA HIROYUKI,KAMEI SAYAKA,RAYTCHEV BISSER ROUMENOV,KITASUKA TERUAKI

Instructor
(Katakana) ムカイダニ　ヒロアキ,ティン　ヒェン　アン,オカムラ　ヒロユキ,カメイ　サヤカ,ライチェフ　ビセル　ルメノフ,キタスカ　テルアキ

Campus Higashi-Hiroshima Semester/Term 3rd-Year, Second Semester, Intensive

Days, Periods, and Classrooms (Int) Inte

Lesson Style Practical Lesson Style
(More Details) 　

This course is a co-op education and gives a practical experience of the research/development conducted
in industry to students.

Credits 3.0 Class Hours/Week 　 Language of Instruction J : Japanese

Course Level 4 : Undergraduate Advanced

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 02 : Information Science

Eligible Students Third Year Students. This lecture is for School of Informatics and Data Science students only. Students from other faculties cannot take this course.

Keywords "Long-term Fieldwork I" in the practical study model is carried out as a collaborative education practice between industry and academia (co-op education). For this reason, each project carried out during "Long-term Fieldwork I" is a collaboration between our university and companies with the aim of increasing students' motivation to learn and supporting career development.

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
（Comprehensive Abilities）
・E. Creative and logical thinking ability to analyze practical problems/issues and derive rational solutions that meet the demands of society, and the ability to realize these solutions.

Data Science Program
（Comprehensive Abilities）
・E. Creative and logical thinking ability to analyze practical problems/issues and derive rational solutions that meet the demands of society, and the ability to realize these solutions.

Intelligence Science Program
（Comprehensive Abilities）
・E. Creative and logical thinking ability to analyze practical problems/issues and derive rational solutions that meet the demands of society, and the ability to realize these solutions.

Class Objectives
/Class Outline "Long-term Fieldwork I" in the practical study model is carried out as a collaborative education practice between industry and academia (co-op education). For this reason, each project carried out during "long-term fieldwork" is a collaboration between our university and companies with the aim of increasing students' motivation to learn and supporting career development.

The seminar will be divided into the following six company themes.

MAZDA MOTOR CORPORATION
Micron Memory Japan, K.K.
DreamArts Corporation.
The Chugoku Electric Power co.,inc.
The Hiroshima Bank, Ltd..
FUKKEN CO.,LTD.

Class Schedule From October 1st to early February, we will organize and discuss the results, and report on the results.

No exam. but some reports may be given.

Text/Reference
Books,etc. No text book

PC or AV used in
Class,etc. 　

(More Details) The PC and some media info will be provided or use own laptop.

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review The aim is to develop the innovative ability to create new value by utilizing specialized skills to engage in practical problem discovery and solution work at companies. In addition, we aim to contribute to society by engaging in problem solving for the company. Students should be aware that no matter which company they go to, their purpose is to improve their skills in the future, and the concept is different from an internship at a company.

Requirements This is a lecture exclusively for students of the School of Informatics and Data Science. Students from other faculties cannot attend this course.

Grading Method Evaluations will be made by comprehensively including reports from companies and submissions from students.

Practical Experience Experienced

Summary of Practical Experience and Class Contents based on it When conducting "Long-term Fieldwork I," our university assigns a faculty member as a tutor for each project, and the project is converted into credits as a regular university course. On the other hand, each company should prepare for "Long-term Fieldwork I" as an initiative that contributes to the educational objectives of our university, after fully understanding the social significance of our university's School of Information Science.

Message

Other From the beginning, we will invest human resources and other resources into this project with a sense of social contribution.

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	KA305001	Subject Classification	Specialized Education
Subject Name	長期フィールドワークI
Subject Name （Katakana）	チョウキフィールドワーク１
Subject Name in English	Long-term Fieldwork I
Instructor	MUKAIDANI HIROAKI,TING HIAN ANN,OKAMURA HIROYUKI,KAMEI SAYAKA,RAYTCHEV BISSER ROUMENOV,KITASUKA TERUAKI
Instructor (Katakana)	ムカイダニ　ヒロアキ,ティン　ヒェン　アン,オカムラ　ヒロユキ,カメイ　サヤカ,ライチェフ　ビセル　ルメノフ,キタスカ　テルアキ
Campus	Higashi-Hiroshima	Semester/Term	3rd-Year, Second Semester, Intensive
Days, Periods, and Classrooms	(Int) Inte
Lesson Style	Practical	Lesson Style (More Details)
This course is a co-op education and gives a practical experience of the research/development conducted in industry to students.
Credits	3.0	Class Hours/Week		Language of Instruction	J : Japanese
Course Level	4 : Undergraduate Advanced
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	02 : Information Science
Eligible Students	Third Year Students. This lecture is for School of Informatics and Data Science students only. Students from other faculties cannot take this course.
Keywords	"Long-term Fieldwork I" in the practical study model is carried out as a collaborative education practice between industry and academia (co-op education). For this reason, each project carried out during "Long-term Fieldwork I" is a collaboration between our university and companies with the aim of increasing students' motivation to learn and supporting career development.
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 （Comprehensive Abilities）・E. Creative and logical thinking ability to analyze practical problems/issues and derive rational solutions that meet the demands of society, and the ability to realize these solutions. Data Science Program （Comprehensive Abilities）・E. Creative and logical thinking ability to analyze practical problems/issues and derive rational solutions that meet the demands of society, and the ability to realize these solutions. Intelligence Science Program （Comprehensive Abilities）・E. Creative and logical thinking ability to analyze practical problems/issues and derive rational solutions that meet the demands of society, and the ability to realize these solutions.
Class Objectives /Class Outline	"Long-term Fieldwork I" in the practical study model is carried out as a collaborative education practice between industry and academia (co-op education). For this reason, each project carried out during "long-term fieldwork" is a collaboration between our university and companies with the aim of increasing students' motivation to learn and supporting career development. The seminar will be divided into the following six company themes. MAZDA MOTOR CORPORATION Micron Memory Japan, K.K. DreamArts Corporation. The Chugoku Electric Power co.,inc. The Hiroshima Bank, Ltd.. FUKKEN CO.,LTD.
Class Schedule	From October 1st to early February, we will organize and discuss the results, and report on the results. No exam. but some reports may be given.
Text/Reference Books,etc.	No text book
PC or AV used in Class,etc.
(More Details)	The PC and some media info will be provided or use own laptop.
Learning techniques to be incorporated
Suggestions on Preparation and Review	The aim is to develop the innovative ability to create new value by utilizing specialized skills to engage in practical problem discovery and solution work at companies. In addition, we aim to contribute to society by engaging in problem solving for the company. Students should be aware that no matter which company they go to, their purpose is to improve their skills in the future, and the concept is different from an internship at a company.
Requirements	This is a lecture exclusively for students of the School of Informatics and Data Science. Students from other faculties cannot attend this course.
Grading Method	Evaluations will be made by comprehensively including reports from companies and submissions from students.
Practical Experience	Experienced
Summary of Practical Experience and Class Contents based on it	When conducting "Long-term Fieldwork I," our university assigns a faculty member as a tutor for each project, and the project is converted into credits as a regular university course. On the other hand, each company should prepare for "Long-term Fieldwork I" as an initiative that contributes to the educational objectives of our university, after fully understanding the social significance of our university's School of Information Science.
Message
Other	From the beginning, we will invest human resources and other resources into this project with a sense of social contribution.
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.

Back to syllabus main page