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2026 (Current Year) Faculty Courses School of Environment and Society Department of Technology and Innovation Management Graduate major in Technology and Innovation Management

Methodology of Political Science and Economics I

Academic unit or major
Graduate major in Technology and Innovation Management
Instructor(s)
Taro Sugihara
Class Format
Lecture/Exercise (Livestream)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
11-12 Fri
Class
-
Course Code
TIM.A403
Number of credits
0.50.50
Course offered
2026
Offered quarter
1Q
Syllabus updated
Mar 5, 2026
Language
Japanese

Syllabus

Course overview and goals

This course focuses on the fundamental methodology and academic logic of research design within qualitative analysis, a common approach in case studies within the social sciences. Through understanding the foundational methodologies of the social sciences, students will cultivate logical thinking and insight—from identifying problems to formulating hypotheses and conducting empirical verification. Such logical thinking skills are essential for conducting academically productive analysis using quantitative data.

Course description and aims

By the end of the course the students are expected to be able to:
• present a relevant research project
• plan and implement a scientific study
• express themselves clearly in accordance with scientific practice
• apply social science methods for qualitative analysis
• analyze empirical data
• critically review a scientific study, with a focus on qualitative case analysis of decision-making and policy concerning research & development (R&D)

Keywords

methodology of social sciences, qualitative analysis & case studies

Competencies

  • Specialist skills
  • Intercultural skills
  • Communication skills
  • Critical thinking skills
  • Practical and/or problem-solving skills

Class flow

The course consists of lectures on qualitative methods and seminars on case studies of decision-making/policy analysis in the field of S&T and R&D.

Course schedule/Objectives

Course schedule Objectives
Class 1

Introduction

Key Points of Social Science Methodology and Course Objectives

Class 2

Qualitative case analysis I

Research Design and Formulating Research Questions Using Qualitative Methodology

Class 3

Qualitative case analysis II

Research Design and Formulating Research Questions Using Qualitative Methodology

Class 4

Case study I

An overview of case studies

Class 5

Case study II

An overview of case studies

Class 6

Qualitative data analysis I

An overview of qualitative data analysis

Class 7

Qualitative data analysis II

An overview of qualitative data analysis

Study advice (preparation and review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

Robert K. Yin (2018). Case study research and applications. Sage.

Reference books, course materials, etc.

Supplementary articles and book chapters may be included as hand-outs

Evaluation methods and criteria

Evaluation is based on active attendance in lectures (50%), group research presentations (20%), and the final research report (30%).

Related courses

  • TIM.A513 : Study design in user research
  • TIM.A540 : Science and Technology Policies &Social IssuesⅠ
  • TIM.A541 : Science and Technology Policies &Social IssuesⅡ
  • TIM.B416 : Organizational Management I
  • TIM.B417 : Organizational Management II
  • TIM.B531 : Management of Information and Knowledge I
  • TIM.B532 : Management of Information and Knowledge II

Prerequisites

N.A.