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.