Japanese

Academic Year	2025Year	School/Graduate School	School of Informatics and Data Science
Lecture Code	KA310001	Subject Classification	Specialized Education
Subject Name	データ科学セミナーII
Subject Name （Katakana）	データカガクセミナー２
Subject Name in English	Data Science Seminar II
Instructor	DOHI TADASHI,EMURA TAKESHI,YAMADA HIROSHI,SHIMA TADASHI,MONDEN REI,TING HIAN ANN,HIRAKAWA MAKOTO,NUNES TENDEIRO JORGE,ADILIN ANUARDI,MUKAIDANI HIROAKI,KAMEI SAYAKA,SUMIYA TAKAHIRO,MORIMOTO YASUHIKO
Instructor (Katakana)	ドヒ　タダシ,エムラ　タケシ,ヤマダ　ヒロシ,シマ　タダシ,モンデン　レイ,ティン　ヒェン　アン,ヒラカワ　マコト,ナヌッシュ　テンデイル　ジョージ,アディリン　アヌアルディ,ムカイダニ　ヒロアキ,カメイ　サヤカ,スミヤ　タカヒロ,モリモト　ヤスヒコ
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, 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)	Data Science Program （Knowledge and Understanding） ・D1. Knowledge and ability to understand the theoretical framework of statistics and data analysis and to analyze qualitative/quantitative information of big data accurately and efficiently. （Abilities and Skills） ・D2. Ability to take charge of organizational strategy and planning based on statistical evidence by making full use of a wide range of knowledge and techniques in data science. （Comprehensive Abilities） ・D3. Ability to overlook social needs and issues that are intertwined in a complex manner and to solve issues with quantitative and logical thinking based on data, a multifaceted perspective, and advanced information analysis ability.
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, 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, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate lesson2 Literature search、Reading academic papers and/or books、Programing、Data analysis, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate lesson3 Literature search、Reading academic papers and/or books、Programing、Data analysis, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate lesson4 Literature search、Reading academic papers and/or books、Programing、Data analysis, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate lesson5 Literature search、Reading academic papers and/or books、Programing、Data analysis, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate lesson6 Literature search、Reading academic papers and/or books、Programing、Data analysis, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate lesson7 Literature search、Reading academic papers and/or books、Programing、Data analysis, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate lesson8 Literature search、Reading academic papers and/or books、Programing、Data analysis, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate lesson9 Literature search、Reading academic papers and/or books、Programing、Data analysis, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate lesson10 Literature search、Reading academic papers and/or books、Programing、Data analysis, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate lesson11 Literature search、Reading academic papers and/or books、Programing、Data analysis, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate lesson12 Literature search、Reading academic papers and/or books、Programing、Data analysis, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate lesson13 Literature search、Reading academic papers and/or books、Programing、Data analysis, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate lesson14 Literature search、Reading academic papers and/or books、Programing、Data analysis, Writing extended abstract and paper, Preparing presentation materials, Paper presentation, Debate lesson15 Literature search、Reading academic papers and/or books、Programing、Data analysis, 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.