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- Liberal arts and basic science courses
2019 Seminar on Transdisciplinary Studies (Introduction to Quantitative Approach to Social Science)6
- Academic unit or major
- Humanities and social science courses
- Instructor(s)
- Kezuka Kazuhiro
- Class Format
- Exercise
- Media-enhanced courses
- Day/Period(Room No.)
- Intensive ()
- Group
- -
- Course number
- LAH.T369
- Credits
- 2
- Academic year
- 2019
- Offered quarter
- 3-4Q
- Syllabus updated
- 2019/3/18
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
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 Bayesian statistics.
Send e-mail by September 27 if you want join this class. This class is held in Thursday, 9-10 period. First lesson will be held in October 3.
Student learning outcomes
Students will be able to discuss based on the quantitative analyses of social science.
Keywords
seminar, quantitative analysis, statistics
Competencies that will be developed
| ✔ 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/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Lectures, group discussions, and presentations by students. | The detail will be provided at the seminar. |
Textbook(s)
Textbooks will be specified by the instructor.
Reference books, course materials, etc.
Textbooks will be specified by the instructor.
Assessment criteria and methods
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 (i.e., required knowledge, skills, courses, etc.)
Nothing required.
