2021 Faculty Courses School of Environment and Society Department of Transdisciplinary Science and Engineering Graduate major in Global Engineering for Development, Environment and Society
Methods of Analysis for Socioeconomic and Environmental Data
- Academic unit or major
- Graduate major in Global Engineering for Development, Environment and Society
- Instructor(s)
- Naoya Abe
- Class Format
- Lecture
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 7-8 Fri
- Class
- -
- Course Code
- GEG.S412
- Number of credits
- 100
- Course offered
- 2021
- Offered quarter
- 1Q
- Syllabus updated
- Jul 10, 2025
- Language
- English
Syllabus
Course overview and goals
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.
Course description and aims
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
- 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/Objectives
| Course schedule | Objectives | |
|---|---|---|
| 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 |
Study advice (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.)
Evaluation methods and criteria
- 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
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/