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- School of Science
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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
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- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
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School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Social and Human Sciences
- Instructor(s)
- Shirabe Masashi
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Fri1-2(W936)
- Group
- -
- Course number
- SHS.S442
- Credits
- 1
- Academic year
- 2018
- Offered quarter
- 2Q
- Syllabus updated
- 2018/3/20
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
In this class, the instructor give lectures about data and concepts of scientometrics and indicators. Then he illustrates methodology of scientometrics and explains how to use related software. Lastly, he gives a task to analyze "real" text data and bibliographic data.
The aims of this class is as follows.
- To learn quantitative approaches in science an technology studies.
- To have basic skills for qualitative analysis.
Student learning outcomes
(1) Understand basic concepts of scientometrics and indicators.
(2) Have basic knowledge about methodology of scientometrics.
(3) Have basic skills for executing scientometric analysis.
Keywords
Scientometrics; quantitative research; text analysis
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
Class flow
Combination of lecture and exercises. Students are recommended to bring your own PC to the class.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction | NA |
| Class 2 | Indicators and evaluation of scientific activities | Your original university evaluation |
| Class 3 | Bibliographic database | Searching academic documents |
| Class 4 | Bibliographic data processing and its meaning | ditto |
| Class 5 | Analysis of citations and co-authorship: Network analysis of bibliographic data | Use Pajek |
| Class 6 | Building text corpora | Build your corpus |
| Class 7 | Text analysis: Keyword extraction and frequency analysis | Install KH coder |
| Class 8 | Text analysis: co-word analysis | Co-word analysis |
Textbook(s)
Not required
Reference books, course materials, etc.
Hand out materials as needed.
Assessment criteria and methods
Final report (100%)
Related courses
- SHS.S441 ： Graduate Lecture in Science, Technology and Society S1A
- SHS.S443 ： Graduate Lecture in Science, Technology and Society F1A
- SHS.S444 ： Graduate Lecture in Science, Technology and Society F1B
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Not required
