KA000001 Introductory Seminar for First-Year Students

Hiroshima University Syllabus

Japanese

Academic Year 2026Year 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 OKAMURA HIROYUKI,EMURA TAKESHI,EGUCHI KOJI,MATSUSHIMA KEI,LOU YANG,ZHENG JUNJUN,ANDRADE SILVA DANIEL GEORG,AIZAWA HIROAKI,NISHIMURA KOUJI,LIAN ZHUOTAO,DOHI TADASHI,RAYTCHEV BISSER ROUMENOV,SUMIYA TAKAHIRO,KONDO TOHRU

Instructor
(Katakana) オカムラ　ヒロユキ,エムラ　タケシ,エグチ　コウジ,マツシマ　ケイ,ロウ　ヤン,テイ　シュンシュン,アンドラーデ　シルバ　ダニエル　ゲオルグ,アイザワ　ヒロアキ,ニシムラ　コウジ,リアン　ズオタオ,ドヒ　タダシ,ライチェフ　ビセル　ルメノフ,スミヤ　タカヒロ,コンドウ　トオル

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 Educational
Program
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) Pharmaceutical Sciences
（Attitudes）
・Self-betterment of character formation as a medical professional : the appropriate action and attitude being aware of that a pharmacist is a professional relating to human life.  The knowledge and understanding to have communication not only with ailing people but with other medical staff in a medical team.  ●quality ①　②　③　⑧　⑨
・Ability to be a pharmacist who is relied on not only by a medical team but also by citizens; the ability to be considerate of patients. ●quality ①　②　⑨
（Comprehensive Abilities）
・Comprehensive problem-solving ability and educational ability: Concerning the influences caused by numerous chemical substances existing on the earth, to be able to analyze and argue about the survival  of the human race. Also, to have the ability and skills to give instruction to youth.●quality ③ ④
・Self-betterment of character formation as a medical professional : the appropriate action and attitude being aware of that a pharmacist is a professional relating to human life.  The knowledge and understanding to have communication not only with ailing people but with other medical staff in a medical team.  ●quality ①　②　③　⑧　⑨
・The research ability: the ability to select issues to be solved in the professional field of pharmacist and carry out measures and research to solve the issues.  ●quality ④ ⑤ ⑦

Medicinal Sciences
（Attitudes）
・Having ability to act as member of a research team.
（Comprehensive Abilities）
・1. The active attitude of dealing with issues on drug development and environmental hygiene.  2. The social responsibility as a specialist of drug development and environmental hygiene.  3. The comprehensive, scientific and calm attitude to solve problems.  4. The cooperative attitude in team research.  5. The ability to make communication and presentation.  6. The ability of assessment and analysis.  7. The active usage of information technology and the management ability.  8. The ethical consideration toward genetically modified foods and animal experiments

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: Monday, April 6th, 13:00 onwards Guidance: After a brief explanation, [Group activities]
3rd and 4th session
Wednesday, April 8th, [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]
5th and 6th sessions
April 15th (Wednesday) External lecturer lecture
8:45-10:15  Mr. Saigo, All Nippon Airways Co., Ltd.　
10:30-12:00 Mr. Tajima, Director of LINE Yahoo Research
7th and 8th sessions
April 22rd (Wednesday) External lecturer lecture
8:45-10:15 Mr. Nakagawa, NTT Data Newson
10:30-12:00 Mr. Ide, Professor at Shinshu University, Assistant to the Chief Digital Experience Officer of Utsunomiya City
9th and 10th sessions
May 1st (Friday) Explanation of the assignment and preparation (including information search, round-table discussion, group discussion, and tool use exercises) [Group activities]
11th and 12th sessions
May 13th (Wednesday) First-year internship at Japan Research Institute Professor Okamoto and Professor Maizuru
The event will be held at three locations on the day
13th and 14th sessions
Wednesday, May 20st: Preparing presentation materials (organizing presentation results and preparing materials) [group activities]
15th sessions
Wednesday, May 27th: 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	2026Year	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	OKAMURA HIROYUKI,EMURA TAKESHI,EGUCHI KOJI,MATSUSHIMA KEI,LOU YANG,ZHENG JUNJUN,ANDRADE SILVA DANIEL GEORG,AIZAWA HIROAKI,NISHIMURA KOUJI,LIAN ZHUOTAO,DOHI TADASHI,RAYTCHEV BISSER ROUMENOV,SUMIYA TAKAHIRO,KONDO TOHRU
Instructor (Katakana)	オカムラ　ヒロユキ,エムラ　タケシ,エグチ　コウジ,マツシマ　ケイ,ロウ　ヤン,テイ　シュンシュン,アンドラーデ　シルバ　ダニエル　ゲオルグ,アイザワ　ヒロアキ,ニシムラ　コウジ,リアン　ズオタオ,ドヒ　タダシ,ライチェフ　ビセル　ルメノフ,スミヤ　タカヒロ,コンドウ　トオル
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 Educational Program (Applicable only to targeted subjects for undergraduate students)
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)	Pharmaceutical Sciences （Attitudes）・Self-betterment of character formation as a medical professional : the appropriate action and attitude being aware of that a pharmacist is a professional relating to human life. The knowledge and understanding to have communication not only with ailing people but with other medical staff in a medical team. ●quality ①　②　③　⑧　⑨ ・Ability to be a pharmacist who is relied on not only by a medical team but also by citizens; the ability to be considerate of patients. ●quality ①　②　⑨ （Comprehensive Abilities）・Comprehensive problem-solving ability and educational ability: Concerning the influences caused by numerous chemical substances existing on the earth, to be able to analyze and argue about the survival of the human race. Also, to have the ability and skills to give instruction to youth.●quality ③ ④ ・Self-betterment of character formation as a medical professional : the appropriate action and attitude being aware of that a pharmacist is a professional relating to human life. The knowledge and understanding to have communication not only with ailing people but with other medical staff in a medical team. ●quality ①　②　③　⑧　⑨ ・The research ability: the ability to select issues to be solved in the professional field of pharmacist and carry out measures and research to solve the issues. ●quality ④ ⑤ ⑦ Medicinal Sciences （Attitudes）・Having ability to act as member of a research team. （Comprehensive Abilities）・1. The active attitude of dealing with issues on drug development and environmental hygiene. 2. The social responsibility as a specialist of drug development and environmental hygiene. 3. The comprehensive, scientific and calm attitude to solve problems. 4. The cooperative attitude in team research. 5. The ability to make communication and presentation. 6. The ability of assessment and analysis. 7. The active usage of information technology and the management ability. 8. The ethical consideration toward genetically modified foods and animal experiments
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: Monday, April 6th, 13:00 onwards Guidance: After a brief explanation, [Group activities] 3rd and 4th session Wednesday, April 8th, [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] 5th and 6th sessions April 15th (Wednesday) External lecturer lecture 8:45-10:15 Mr. Saigo, All Nippon Airways Co., Ltd.　 10:30-12:00 Mr. Tajima, Director of LINE Yahoo Research 7th and 8th sessions April 22rd (Wednesday) External lecturer lecture 8:45-10:15 Mr. Nakagawa, NTT Data Newson 10:30-12:00 Mr. Ide, Professor at Shinshu University, Assistant to the Chief Digital Experience Officer of Utsunomiya City 9th and 10th sessions May 1st (Friday) Explanation of the assignment and preparation (including information search, round-table discussion, group discussion, and tool use exercises) [Group activities] 11th and 12th sessions May 13th (Wednesday) First-year internship at Japan Research Institute Professor Okamoto and Professor Maizuru The event will be held at three locations on the day 13th and 14th sessions Wednesday, May 20st: Preparing presentation materials (organizing presentation results and preparing materials) [group activities] 15th sessions Wednesday, May 27th: 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.

Back to syllabus main page