Hiroshima University Syllabus

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Japanese
Academic Year 2022Year 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
Instructor
(Katakana)
ムカイダニ ヒロアキ
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
The seminar is positioned as a preliminary seminar before starting the graduate research.  
Criterion referenced
Evaluation
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. 
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