Hiroshima University Syllabus

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Japanese
Academic Year 2022Year School/Graduate School School of Informatics and Data Science
Lecture Code KA216001 Subject Classification Specialized Education
Subject Name サーベイ・デザイン
Subject Name
(Katakana)
サーベイ・デザイン
Subject Name in
English
Survey design
Instructor SUZUKI TAMAO,SUZUKI TAMAO
Instructor
(Katakana)
スズキ タマオ,スズキ タマオ
Campus Higashi-Hiroshima Semester/Term 3rd-Year,  First Semester,  1Term
Days, Periods, and Classrooms (1T) Fri1-4:LAW/ECO B155
Lesson Style Lecture Lesson Style
(More Details)
 
lecture 
Credits 2.0 Class Hours/Week   Language of Instruction J : Japanese
Course Level 2 : Undergraduate Low-Intermediate
Course Area(Area) 24 : Social Sciences
Course Area(Discipline) 05 : Sociology
Eligible Students
Keywords  
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
 
Criterion referenced
Evaluation
Informatics and Data Science Program
(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.
 
Class Objectives
/Class Outline
under construction 
Class Schedule under construction 
Text/Reference
Books,etc.
under construction 
PC or AV used in
Class,etc.
 
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
under construction 
Requirements  
Grading Method under construction 
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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