Japanese

Academic Year	2025Year	School/Graduate School	School of Informatics and Data Science
Lecture Code	KA311001	Subject Classification	Specialized Education
Subject Name	知能科学セミナーI
Subject Name （Katakana）	チノウカガクセミナー１
Subject Name in English	Intelligence Science Seminar I
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,  1Term
Days, Periods, and Classrooms	(1T) 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
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.
Class Schedule	lesson1 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning lesson2 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning lesson3 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning lesson4 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning lesson5 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning lesson6 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning lesson7 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning lesson8 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning lesson9 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning lesson10 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning lesson11 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning lesson12 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning lesson13 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning lesson14 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning lesson15 Literature search、Reading academic papers and/or books、Programing、Data analysis、Machine learning
Text/Reference Books,etc.	Ask the advise to your supervisor.
PC or AV used in Class,etc.	Text, Visual Materials, Microsoft Teams
	(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.