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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)Introduction1

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.T156
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