KA302001 Data Science Seminar II

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School School of Informatics and Data Science

Lecture Code KA302001 Subject Classification Specialized Education

Subject Name データサイエンスセミナーII

Subject Name
（Katakana）データサイエンスセミナー２

Subject Name in
English Data Science Seminar II

Instructor MUKAIDANI HIROAKI,YANAGIHARA HIROKAZU,OGURA MASAKI,FUKUSHIMA MAKOTO,EGUCHI KOJI,YU YI,YAMADA HIROSHI,LI MENGMOU,NAGAHARA MASAAKI,SHIMA TADASHI,MONDEN REI,FURUI AKIRA,TING HIAN ANN,HIRAKAWA MAKOTO,NUNES TENDEIRO JORGE,ANDRADE SILVA DANIEL GEORG,AIZAWA HIROAKI,ADILIN ANUARDI,KAMEI SAYAKA,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,オグラ　マサキ,フクシマ　マコト,エグチ　コウジ,ユ　イ,ヤマダ　ヒロシ,リ　メンモ,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,ナヌッシュ　テンデイル　ジョージ,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,カメイ　サヤカ,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, 2Term

Days, Periods, and Classrooms (2T) 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, 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) 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, 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. 　

(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.

Academic Year	2024Year	School/Graduate School	School of Informatics and Data Science
Lecture Code	KA302001	Subject Classification	Specialized Education
Subject Name	データサイエンスセミナーII
Subject Name （Katakana）	データサイエンスセミナー２
Subject Name in English	Data Science Seminar II
Instructor	MUKAIDANI HIROAKI,YANAGIHARA HIROKAZU,OGURA MASAKI,FUKUSHIMA MAKOTO,EGUCHI KOJI,YU YI,YAMADA HIROSHI,LI MENGMOU,NAGAHARA MASAAKI,SHIMA TADASHI,MONDEN REI,FURUI AKIRA,TING HIAN ANN,HIRAKAWA MAKOTO,NUNES TENDEIRO JORGE,ANDRADE SILVA DANIEL GEORG,AIZAWA HIROAKI,ADILIN ANUARDI,KAMEI SAYAKA,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,オグラ　マサキ,フクシマ　マコト,エグチ　コウジ,ユ　イ,ヤマダ　ヒロシ,リ　メンモ,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,ナヌッシュ　テンデイル　ジョージ,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,カメイ　サヤカ,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, 2Term
Days, Periods, and Classrooms	(2T) 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, 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)	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, 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.
(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.

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