KA000001 Introductory Seminar for First-Year Students

Hiroshima University Syllabus

Japanese

Academic Year 2025Year 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,OGURA MASAKI,YU YI,LI MENGMOU,HIRASHIMA TSUKASA,MONDEN REI,NAKANISHI TOORU,NUNES TENDEIRO JORGE,DING YEPENG,VICTOR PARQUE,OKAMURA HIROYUKI,KAMEI SAYAKA

Instructor
(Katakana) ムカイダニ　ヒロアキ,オグラ　マサキ,ユ　イ,リ　メンモ,ヒラシマ　ツカサ,モンデン　レイ,ナカニシ　トオル,ナヌッシュ　テンデイル　ジョージ,テイ　ヨウホウ,ヴィクター　パルケ,オカムラ　ヒロユキ,カメイ　サヤカ

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

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

Lesson Style Seminar Lesson Style
(More Details) Face-to-face, Online (simultaneous interactive)

Seminar ・Discussion　・Presentation

Credits 2.0 Class Hours/Week 4 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
Liberal Arts Education
Expected Outcome

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 1st and 2nd sessions: Saturday, April 5th, 13:00 onwards Guidance: After a brief explanation, [Group activities]
3rd session
Wednesday, April 9th, [Group activities], Programming basics
(※) Students will be assigned to one of the following:
・1st period [Group activities], 2nd period Programming basics
・1st period Programming basics, 2nd period [Group activities]
4th and 5th sessions
April 16th (Wednesday) External lecturer lecture
8:45-10:15 Mr. Tajima, Director of LINE Yahoo Research
10:30-12:00 Mr. Saigo, All Nippon Airways Co., Ltd.
6th and 7th sessions
April 23rd (Wednesday) External lecturer lecture
8:45-10:15 Mr. Nakagawa, NTT Data Newson
10:30-12:00 Mr. Ando, Director of DX Promotion, General Affairs Bureau, Hiroshima Prefecture
8th and 9th sessions
April 30th (Wednesday) Explanation of the assignment and preparation (including information search, round-table discussion, group discussion, and tool use exercises) [Group activities]
10th and 11th sessions
May 14th (Wednesday) First-year internship at Japan Research Institute Professor Okamoto and Professor Maizuru
The event will be held at three locations on the day
12th and 13th sessions
Wednesday, May 21st: Preparing presentation materials (organizing presentation results and preparing materials) [group activities]
14th and 15th sessions
Wednesday, May 28th: Practical presentations and discussions [group activities]

Text/Reference
Books,etc. Follow the instructor.

PC or AV used in
Class,etc. Visual Materials, Microsoft Teams

(More Details) Follow the instructor.

Learning techniques to be incorporated Discussions

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	2025Year	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,OGURA MASAKI,YU YI,LI MENGMOU,HIRASHIMA TSUKASA,MONDEN REI,NAKANISHI TOORU,NUNES TENDEIRO JORGE,DING YEPENG,VICTOR PARQUE,OKAMURA HIROYUKI,KAMEI SAYAKA
Instructor (Katakana)	ムカイダニ　ヒロアキ,オグラ　マサキ,ユ　イ,リ　メンモ,ヒラシマ　ツカサ,モンデン　レイ,ナカニシ　トオル,ナヌッシュ　テンデイル　ジョージ,テイ　ヨウホウ,ヴィクター　パルケ,オカムラ　ヒロユキ,カメイ　サヤカ
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, First Semester, 1Term
Days, Periods, and Classrooms	(1T) Weds1-4
Lesson Style	Seminar	Lesson Style (More Details)	Face-to-face, Online (simultaneous interactive)
Seminar ・Discussion　・Presentation
Credits	2.0	Class Hours/Week	4	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 Liberal Arts Education
Expected Outcome
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	1st and 2nd sessions: Saturday, April 5th, 13:00 onwards Guidance: After a brief explanation, [Group activities] 3rd session Wednesday, April 9th, [Group activities], Programming basics (※) Students will be assigned to one of the following: ・1st period [Group activities], 2nd period Programming basics ・1st period Programming basics, 2nd period [Group activities] 4th and 5th sessions April 16th (Wednesday) External lecturer lecture 8:45-10:15 Mr. Tajima, Director of LINE Yahoo Research 10:30-12:00 Mr. Saigo, All Nippon Airways Co., Ltd. 6th and 7th sessions April 23rd (Wednesday) External lecturer lecture 8:45-10:15 Mr. Nakagawa, NTT Data Newson 10:30-12:00 Mr. Ando, Director of DX Promotion, General Affairs Bureau, Hiroshima Prefecture 8th and 9th sessions April 30th (Wednesday) Explanation of the assignment and preparation (including information search, round-table discussion, group discussion, and tool use exercises) [Group activities] 10th and 11th sessions May 14th (Wednesday) First-year internship at Japan Research Institute Professor Okamoto and Professor Maizuru The event will be held at three locations on the day 12th and 13th sessions Wednesday, May 21st: Preparing presentation materials (organizing presentation results and preparing materials) [group activities] 14th and 15th sessions Wednesday, May 28th: Practical presentations and discussions [group activities]
Text/Reference Books,etc.	Follow the instructor.
PC or AV used in Class,etc.	Visual Materials, Microsoft Teams
(More Details)	Follow the instructor.
Learning techniques to be incorporated	Discussions
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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