2020 Faculty Courses Liberal arts and basic science courses Humanities and social science courses
Seminar on Transdisciplinary Studies (Introduction to Quantitative Approach to Social Science)3
- Academic unit or major
- Humanities and social science courses
- Instructor(s)
- Kazuhiro Kezuka
- Class Format
- Exercise
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - Intensive
- Class
- -
- Course Code
- LAH.T366
- Number of credits
- 020
- Course offered
- 2020
- Offered quarter
- 1-2Q
- Syllabus updated
- Jul 10, 2025
- Language
- Japanese
Syllabus
Course overview and goals
In this seminar, we read the literature and learn how approach to social science with quantitative methods. Students have to write a summary of their reading assignment, and provide a presentation for other students.
In this class, we read the literature about inequality.
Send e-mail by April 2nd if you want join this class. This class is held in Thursday, 9-10 period. First lesson will be held in April 9th.
→First lesson will be postponed after May 4. (Added 4/3)
Course description and aims
Students will be able to discuss based on the quantitative analyses of social science.
Keywords
seminar, quantitative analysis, statistics
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
Lectures, group discussions, and presentations by students.
Course schedule/Objectives
Course schedule | Objectives | |
---|---|---|
Class 1 | Lectures, group discussions, and presentations by students. | The detail will be provided at the seminar. |
Study advice (preparation and review)
Textbook(s)
Textbooks will be specified by the instructor.
Reference books, course materials, etc.
Textbooks will be specified by the instructor.
Evaluation methods and criteria
summary resume: 30%, presentation: 30%, commitment: 40%
Related courses
- LAH.T101 : Statistics A
- LAH.T201 : Statistics B
- LAH.T301 : Statistics C
- LAH.S434 : Essence of Humanities and Social Sciences38:Statistics
Prerequisites
Nothing required.
Contact information (e-mail and phone) Notice : Please replace from ”[at]” to ”@”(half-width character).
kkezuka[at]ila.titech.ac.jp