Hiroshima University Syllabus

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Japanese
Academic Year 2024Year School/Graduate School Graduate School of Humanities and Social Sciences (Master's Course) Division of Humanities and Social Sciences International Economic Development Program
Lecture Code WMHA0057 Subject Classification Specialized Education
Subject Name Special Study(October 2024 Master's Students)
Subject Name
(Katakana)
トクベツケンキュウ
Subject Name in
English
Special Study(October 2024 Master's Students)
Instructor KHAN GHULAM DASTGIR
Instructor
(Katakana)
ハーン グラム ダスタギール
Campus Higashi-Hiroshima Semester/Term 1st-Year,  Second Semester,  Year
Days, Periods, and Classrooms (Year) Inte
Lesson Style Seminar Lesson Style
(More Details)
 
 
Credits 4.0 Class Hours/Week   Language of Instruction E : English
Course Level 7 : Graduate Special Studies
Course Area(Area) 24 : Social Sciences
Course Area(Discipline) 03 : Economics
Eligible Students
Keywords Causal Inference; Social Science; Experiments; Observational data 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
 
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)
 
Class Objectives
/Class Outline
The objectives include fostering an understanding of research design principles, teaching causal inference foundations, equipping students with survey design skills, and offering ongoing practical guidance and feedback for their research progress. 
Class Schedule lesson1: Research Presentation, Discussion, and Guidance
lesson2: Research Presentation, Discussion, and Guidance
lesson3: Research Presentation, Discussion, and Guidance
lesson4: Research Presentation, Discussion, and Guidance
lesson5: Research Presentation, Discussion, and Guidance
lesson6: Research Presentation, Discussion, and Guidance
lesson7: Research Presentation, Discussion, and Guidance
lesson8: Research Presentation, Discussion, and Guidance
lesson9: Research Presentation, Discussion, and Guidance
lesson10: Research Presentation, Discussion, and Guidance
lesson11: Research Presentation, Discussion, and Guidance
lesson12: Research Presentation, Discussion, and Guidance
lesson13: Research Presentation, Discussion, and Guidance
lesson14: Research Presentation, Discussion, and Guidance
lesson15: Research Presentation, Discussion, and Guidance
lesson16: Research Presentation, Discussion, and Guidance
lesson17: Research Presentation, Discussion, and Guidance
lesson18: Research Presentation, Discussion, and Guidance
lesson19: Research Presentation, Discussion, and Guidance
lesson20: Research Presentation, Discussion, and Guidance
lesson21: Research Presentation, Discussion, and Guidance
lesson22: Research Presentation, Discussion, and Guidance
lesson23: Research Presentation, Discussion, and Guidance
lesson24: Research Presentation, Discussion, and Guidance
lesson25: Research Presentation, Discussion, and Guidance
lesson26: Research Presentation, Discussion, and Guidance
lesson27: Research Presentation, Discussion, and Guidance
lesson28: Research Presentation, Discussion, and Guidance
lesson29: Research Presentation, Discussion, and Guidance
lesson30: Research Presentation, Discussion, and Guidance 
Text/Reference
Books,etc.
Causal Inference Bootcamp
https://mattmasten.github.io/bootcamp/ 
PC or AV used in
Class,etc.
 
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
Students are advised to carefully watch Causal Inference Bootcamp: https://mattmasten.github.io/bootcamp/ 
Requirements  
Grading Method Attendance: 50%
Presentation and Paper: 50% 
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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