Hiroshima University Syllabus

Back to syllabus main page
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
Subject Name in
Introductory Seminar for First-Year Students
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
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
(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.

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

(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)  
Follow the instructor. 
PC or AV used in
(More Details) Follow the instructor. 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Follow the instructor. 
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.  
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