KA000001 Introductory Seminar for First-Year Students

Hiroshima University Syllabus

Japanese

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

Lecture Code KA000001 Subject Classification Liberal Arts Education (day)

Subject Name 教養ゼミ

Subject Name
（Katakana）キヨウヨウゼミ

Subject Name in
English Introductory Seminar for First-Year Students

Instructor MUKAIDANI HIROAKI,HAYASHI YUSUKE,FUKUSHIMA MAKOTO,TING HIAN ANN,HIRAKAWA MAKOTO,LIU SHAOYING,KANEDA KAZUFUMI,FUJITA SATOSHI,ITOU YASUAKI,MORIMOTO YASUHIKO,IWAMOTO CHUZO

Instructor
(Katakana) ムカイダニ　ヒロアキ,ハヤシ　ユウスケ,フクシマ　マコト,ティン　ヒェン　アン,ヒラカワ　マコト,リュウ　ショウエイ,カネダ　カズフミ,フジタ　サトシ,イトウ　ヤスアキ,モリモト　ヤスヒコ,イワモト　チュウゾウ

Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  1Term

Days, Periods, and Classrooms (1T) Weds1-4

Lesson Style Seminar Lesson Style
(More Details) 　

Seminar ・Discussion　・Presentation

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

Course Level 1 : Undergraduate Introductory

Course Area（Area） 21 : Fundamental Competencies for Working Persons

Course Area（Discipline） 01 : Introductory Seminar for First-Year Students

Eligible Students

Keywords Informatics, Data Science, Information Retrieval, Document Organization, Presentation Skill

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) Elementary School Teacher Education
（Abilities and Skills）
・Being able to collect, critically analyze, and examine infomration related to elementary education. (Information collection and analysis ability)

Special Support School Teacher Education
（Knowledge and Understanding）
・Having basic knowledge and understanding of liberal arts education, which is academic base needed to receive technical or professional education.

Medicine
（Knowledge and Understanding）
・Acquire the intellectual abilities which serve as a basis for conducting research activities and social activities at a university.

Nursing
（Knowledge and Understanding）
・Knowledge, understanding about knowledge, the understanding basic education about the basic education

Occupational Therapy
（Comprehensive Abilities）
・Acting power based on an ethical judgment in the health medical care
・  An inquisitive mind for medical and health care, welfare, and education, and the ability to get things done in occupational therapy
・The abilities and attitude required to cooperate with others and experts in other professions as a member of a medical team
・An ability for creative and scientific problem solving

Class Objectives
/Class Outline Students are grouped into small groups and assigned to an instructor. Each student
conducts a research and participates in experiments, practical trainings, discussions,
reading materials and presentations in the field on informatics and data science in the
group under the instructor.

As a part of orientation function of university education that based on voluntary learning,
it is aimed to increase the motivation to intellectual activities at early stage after
enrollment, and to develop logical and critical thinking skills and appropriate self-
expression ability. In addition, as the start of learning in university, it is aimed to
promote communication between students and instructors as well as among students
to develop learning networks.

As a characteristic trial in School of Informatics and Data Science, we have the
seminars by outstanding experts in industry and academia, and provide excellent
opportunity to students to overview the recent research trends and topics in a
variety of fields. Through the seminars the students will be motivated to learn the
basic courses in informatics and data science.

Class Schedule lessons 1 & 2 : Guidance
lessons 3 : Information Literacy
lessons 4 & 5 : Informatics and Data Science Seminar by Experts
lessons 6 & 7: Informatics and Data Science Seminar by Experts
lessons 8 & 9 : Group Activity (Information Retrieval, Document Organization)
lessons 10 & 11 : Group Activity (Information Retrieval, Document Organization)
lessons 12 & 13 : Group Activity (Preparation of Presentation Materials)
lesson 14 & 15 : Group Activity (Presentation)

Text/Reference
Books,etc. Follow the instructor.

PC or AV used in
Class,etc. 　

(More Details) Follow the instructor.

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Follow the instructor.

Requirements

Grading Method Follow the instructor.

Practical Experience Experienced

Summary of Practical Experience and Class Contents based on it Four seminars by experts in business and industry are planned to motivate the students in studying informatics and data science.

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	KA000001	Subject Classification	Liberal Arts Education (day)
Subject Name	教養ゼミ
Subject Name （Katakana）	キヨウヨウゼミ
Subject Name in English	Introductory Seminar for First-Year Students
Instructor	MUKAIDANI HIROAKI,HAYASHI YUSUKE,FUKUSHIMA MAKOTO,TING HIAN ANN,HIRAKAWA MAKOTO,LIU SHAOYING,KANEDA KAZUFUMI,FUJITA SATOSHI,ITOU YASUAKI,MORIMOTO YASUHIKO,IWAMOTO CHUZO
Instructor (Katakana)	ムカイダニ　ヒロアキ,ハヤシ　ユウスケ,フクシマ　マコト,ティン　ヒェン　アン,ヒラカワ　マコト,リュウ　ショウエイ,カネダ　カズフミ,フジタ　サトシ,イトウ　ヤスアキ,モリモト　ヤスヒコ,イワモト　チュウゾウ
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, First Semester, 1Term
Days, Periods, and Classrooms	(1T) Weds1-4
Lesson Style	Seminar	Lesson Style (More Details)
Seminar ・Discussion　・Presentation
Credits	2.0	Class Hours/Week		Language of Instruction	B : Japanese／English
Course Level	1 : Undergraduate Introductory
Course Area（Area）	21 : Fundamental Competencies for Working Persons
Course Area（Discipline）	01 : Introductory Seminar for First-Year Students
Eligible Students
Keywords	Informatics, Data Science, Information Retrieval, Document Organization, Presentation Skill
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)	Elementary School Teacher Education （Abilities and Skills）・Being able to collect, critically analyze, and examine infomration related to elementary education. (Information collection and analysis ability) Special Support School Teacher Education （Knowledge and Understanding）・Having basic knowledge and understanding of liberal arts education, which is academic base needed to receive technical or professional education. Medicine （Knowledge and Understanding）・Acquire the intellectual abilities which serve as a basis for conducting research activities and social activities at a university. Nursing （Knowledge and Understanding）・Knowledge, understanding about knowledge, the understanding basic education about the basic education Occupational Therapy （Comprehensive Abilities）・Acting power based on an ethical judgment in the health medical care ・ An inquisitive mind for medical and health care, welfare, and education, and the ability to get things done in occupational therapy ・The abilities and attitude required to cooperate with others and experts in other professions as a member of a medical team ・An ability for creative and scientific problem solving
Class Objectives /Class Outline	Students are grouped into small groups and assigned to an instructor. Each student conducts a research and participates in experiments, practical trainings, discussions, reading materials and presentations in the field on informatics and data science in the group under the instructor. As a part of orientation function of university education that based on voluntary learning, it is aimed to increase the motivation to intellectual activities at early stage after enrollment, and to develop logical and critical thinking skills and appropriate self- expression ability. In addition, as the start of learning in university, it is aimed to promote communication between students and instructors as well as among students to develop learning networks. As a characteristic trial in School of Informatics and Data Science, we have the seminars by outstanding experts in industry and academia, and provide excellent opportunity to students to overview the recent research trends and topics in a variety of fields. Through the seminars the students will be motivated to learn the basic courses in informatics and data science.
Class Schedule	lessons 1 & 2 : Guidance lessons 3 : Information Literacy lessons 4 & 5 : Informatics and Data Science Seminar by Experts lessons 6 & 7: Informatics and Data Science Seminar by Experts lessons 8 & 9 : Group Activity (Information Retrieval, Document Organization) lessons 10 & 11 : Group Activity (Information Retrieval, Document Organization) lessons 12 & 13 : Group Activity (Preparation of Presentation Materials) lesson 14 & 15 : Group Activity (Presentation)
Text/Reference Books,etc.	Follow the instructor.
PC or AV used in Class,etc.
(More Details)	Follow the instructor.
Learning techniques to be incorporated
Suggestions on Preparation and Review	Follow the instructor.
Requirements
Grading Method	Follow the instructor.
Practical Experience	Experienced
Summary of Practical Experience and Class Contents based on it	Four seminars by experts in business and industry are planned to motivate the students in studying informatics and data science.
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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