Japanese

Academic Year	2024Year	School/Graduate School	School of Informatics and Data Science
Lecture Code	KA301001	Subject Classification	Specialized Education
Subject Name	データサイエンスセミナーI
Subject Name （Katakana）	データサイエンスセミナー１
Subject Name in English	Data Science Seminar I
Instructor	MUKAIDANI HIROAKI,YANAGIHARA HIROKAZU,FUKUSHIMA MAKOTO,EGUCHI KOJI,YAMADA HIROSHI,NAGAHARA MASAAKI,SHIMA TADASHI,MONDEN REI,FURUI AKIRA,TING HIAN ANN,HIRAKAWA MAKOTO,ANDRADE SILVA DANIEL GEORG,AIZAWA HIROAKI,ADILIN ANUARDI,MIYAO JUNICHI,KAMEI SAYAKA,KURITA TAKIO,SUMIYA TAKAHIRO,MORIMOTO YASUHIKO,IWAMOTO CHUZO
Instructor (Katakana)	ムカイダニ　ヒロアキ,ヤナギハラ　ヒロカズ,フクシマ　マコト,エグチ　コウジ,ヤマダ　ヒロシ,ナガハラ　マサアキ,シマ　タダシ,モンデン　レイ,フルイ　アキラ,ティン　ヒェン　アン,ヒラカワ　マコト,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,アディリン　アヌアルディ,ミヤオ　ジュンイチ,カメイ　サヤカ,クリタ　タキオ,スミヤ　タカヒロ,モリモト　ヤスヒコ,イワモト　チュウゾウ
Campus	Higashi-Hiroshima	Semester/Term	4th-Year,  First Semester,  1Term
Days, Periods, and Classrooms	(1T) Inte
Lesson Style	Seminar	Lesson Style (More Details)
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
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)	Informatics and Data Science Program （Knowledge and Understanding） ・D1. Knowledge and skills required for understanding the theoretical system of statistics and data analysis, and for precisely and efficiently analyzing qualitative/quantitative information in big data. （Abilities and Skills） ・D2. Ability to develop strategies and plans for an organization based on statistical evidence by using a wide range of knowledge and skills related to data science. （Comprehensive Abilities） ・D3. Ability to examine social needs and issues which are interlinked in a complex manner, using a top-down view to solve the problems through quantitative and logical thinking based on data, diverse perspectives, and advanced skills in information processing and analysis.
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.
Class Schedule	lesson1 Literature search、Reading academic papers and/or books、Programing、Data analysis lesson2 Literature search、Reading academic papers and/or books、Programing、Data analysis lesson3 Literature search、Reading academic papers and/or books、Programing、Data analysis lesson4 Literature search、Reading academic papers and/or books、Programing、Data analysis lesson5 Literature search、Reading academic papers and/or books、Programing、Data analysis lesson6 Literature search、Reading academic papers and/or books、Programing、Data analysis lesson7 Literature search、Reading academic papers and/or books、Programing、Data analysis lesson8 Literature search、Reading academic papers and/or books、Programing、Data analysis lesson9 Literature search、Reading academic papers and/or books、Programing、Data analysis lesson10 Literature search、Reading academic papers and/or books、Programing、Data analysis lesson11 Literature search、Reading academic papers and/or books、Programing、Data analysis lesson12 Literature search、Reading academic papers and/or books、Programing、Data analysis lesson13 Literature search、Reading academic papers and/or books、Programing、Data analysis lesson14 Literature search、Reading academic papers and/or books、Programing、Data analysis lesson15 Literature search、Reading academic papers and/or books、Programing、Data analysis
Text/Reference Books,etc.	Ask the advise to your supervisor.
PC or AV used in Class,etc.
	(More Details)
Learning techniques to be incorporated
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.