Hiroshima University Syllabus

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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. 
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