Hiroshima University Syllabus

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Japanese
Academic Year 2025Year School/Graduate School School of Informatics and Data Science
Lecture Code KA312001 Subject Classification Specialized Education
Subject Name 知能科学セミナーII
Subject Name
(Katakana)
チノウカガクセミナー2
Subject Name in
English
Intelligence Science Seminar II
Instructor DOHI TADASHI,HAYASHI YUSUKE,OGURA MASAKI,FUKUSHIMA MAKOTO,EGUCHI KOJI,YU YI,GU YANLEI,LI MENGMOU,DAI YILING,NAGAHARA MASAAKI,HIRASHIMA TSUKASA,FURUI AKIRA,ANDRADE SILVA DANIEL GEORG,AIZAWA HIROAKI,HIGAKI TORU,RAYTCHEV BISSER ROUMENOV
Instructor
(Katakana)
ドヒ タダシ,ハヤシ ユウスケ,オグラ マサキ,フクシマ マコト,エグチ コウジ,ユ イ,コ エンライ,リ メンモ,ダイ オクリョウ,ナガハラ マサアキ,ヒラシマ ツカサ,フルイ アキラ,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,ヒガキ トオル,ライチェフ ビセル ルメノフ
Campus Higashi-Hiroshima Semester/Term 4th-Year,  First Semester,  2Term
Days, Periods, and Classrooms (2T) Inte
Lesson Style Seminar Lesson Style
(More Details)
Face-to-face, Online (simultaneous interactive)
 
Credits 1.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 4 : Undergraduate Advanced
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 02 : Information Science
Eligible Students 4 year student
Keywords Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate.  
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
The seminar is positioned as a preliminary seminar before starting the graduate research.  
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)
Intelligence Science Program
(Knowledge and Understanding)
・D1. A deep systematic understanding of the advanced intelligence of human beings and its realization by computers.
(Abilities and Skills)
・D2. Information processing ability and data analysis ability to contribute to the application and development of artificial intelligence and IoT.
(Comprehensive Abilities)
・D3. Ability to grasp complexly intertwined social needs and issues from a bird's-eye view and solve issues with a multifaceted perspective and analytical ability based on a wide range of knowledge in intelligent science. 
Class Objectives
/Class Outline
Students learn the following skills under the guide by the supervisors: Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate.  
Class Schedule lesson1 Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate
lesson2  Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate
lesson3  Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate
lesson4  Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate
lesson5  Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate
lesson6  Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate
lesson7  Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate
lesson8  Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate
lesson9  Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate
lesson10  Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate
lesson11  Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate
lesson12  Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate
lesson13  Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate
lesson14  Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate
lesson15  Literature search, Reading academic papers and/or books, Programing, Data analysis, Machine learning, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate 
Text/Reference
Books,etc.
Ask the advise to your supervisor.  
PC or AV used in
Class,etc.
Text, Visual Materials, Microsoft Teams, moodle
(More Details)  
Learning techniques to be incorporated Discussions, Project Learning
Suggestions on
Preparation and
Review
Ask the advise to your supervisor.  
Requirements  
Grading Method Ask the advise to your supervisor.  
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
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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