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- 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
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- School of Computing
- School of Life Science and Technology
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School of Environment and Society
- Department of Architecture and Building Engineering
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- Department of Social and Human Sciences
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- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Global Engineering for Development, Environment and Society
- Instructor(s)
- Abe Naoya
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Fri7-8()
- Group
- -
- Course number
- GEG.S412
- Credits
- 1
- Academic year
- 2021
- Offered quarter
- 1Q
- Syllabus updated
- 2021/3/19
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
This course aims to equip the enrolled students to have the basic understandings of the socioeconomic and environmental data as well as the skills to conduct several analytical methods by themselves. The course will be combined with online lectures and the hands-on exercise by using R.
Student learning outcomes
Enrolled students will have:
1) the basic knowledge of the meaning, significance and structure of basic socioeconomic and environmental data
2) the skills to conduct basic quantitative analysis by utilizing the data above and,
3) the skills to present the results of those analysis.
Keywords
Socioeconomic data, environmental data, quantitative analysis, multivariate analysis, R
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
This course consists of both lectures and hands-on excises.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Meaning, significance and basics structure of socioeconomic and environmental data | Brief assignment |
| Class 2 | Socioeconomic and environmental comparison among countries and visualization of their states and changes. | Brief assignment |
| Class 3 | Understanding the relationship between socioeconomic and environmental aspects | Brief assignment |
| Class 4 | Characteristics of our decisions for socioeconomic and environmental activities, which are often discrete, not continuous. | Brief assignment |
| Class 5 | Merits and demerits of the focus on the “average” among performing individuals or organizations. A method of analysis with the focus on the “best” for seeking better decision. | Brief assignment |
| Class 6 | Understanding a main feature of a subject, which has multiple dimensions. | Brief assignment |
| Class 7 | Summary of this class and consultation | Final report |
Out-of-Class Study Time (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)
None (necessary materials will be distributed.)
Reference books, course materials, etc.
None (necessary materials will be distributed.)
Assessment criteria and methods
- Individual final report: about 60%
- Brief report for each session: about 40% in total sessions
Related courses
- GEG.E413 ： Geospatial data analysis for environment studies
- GEG.E501 ： Environmental Impact Assessment
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Students should have basic understanding and experience in statistics and multivariate analysis.
Other
Enrolled students need to prepare a laptop PC or Mac (either windows or mac) and to be ready to use R. If you have difficulty for the preparation, contact the instructor in advance. For the installation of R, please check the following site.
https://www.r-project.org/
