| Program / Major | mDP | Goals |
|---|---|---|
| Fundamental Mechanical Engineering | A | 文化・芸術・歴史・政治経済などに基づく大局的な視野と倫理的な視点から、工学と社会の関わりを考察することができ、グローバル社会において多様な人々と意思疎通を図ることができる。 |
| Advanced Mechanical Engineering | A | 文化・芸術・歴史・政治経済などに基づく大局的な視野と倫理的な視点から、工学と社会の関わりを考察することができ、グローバル社会において多様な人々と意思疎通を図ることができる。 |
| Environment and Materials Engineering | D | 的確な判断のもとに技術者として責任ある行動をとることができる。 |
| Chemistry and Biotechnology | D | 的確な判断のもとに技術者として責任ある行動をとることができる。 |
| Electrical Engineering and Robotics | A | 多様な視点から種々の文化や社会の発展の歴史を学び、多面的に物事を捉えることができる。 |
| Advanced Electronic Engineering | A | 豊かな教養を持ち、幅広い視点から物事を考え理解する基礎的能力を身に付けることができる。 |
| Information and Communications Engineering | A-1 | 技術の進展と人間・社会の関わり合いを理解することができる。 |
| Computer Science and Engineering | E | 種々の文化の理解に基づき社会的・地球的視点から多面的に物事を考える能力を身に付けることができる。 |
| Urban Infrastructure and Environment | A-1 | ⾃然・⼈⽂・社会科学など、幅広く学問の英知を学び、地球的視野から多⾯的に物事を考える能⼒と素養を⾝に付けることができる。 |
1. Understand the focus of computational social science and why social science knowledge is necessary alongside information
science to solve social issues through specific research examples.
2. Experience how generative AI can be utilized in learning and understand the precautions for its use.
3. Understand the necessity of international and interdisciplinary perspectives in achieving SDG goals.
4. Recognize the ethical issues inherent in computational social science research processes.
2. Experience how generative AI can be utilized in learning and understand the precautions for its use.
3. Understand the necessity of international and interdisciplinary perspectives in achieving SDG goals.
4. Recognize the ethical issues inherent in computational social science research processes.
***This course is offered in a ”fully on-demand” format, allowing you to study anytime and anywhere. Therefore, the main content
differs from traditional lecture-style classes. The primary activity involves completing assignments using generative AI tools
prepared by the instructor. If you wish to enroll, please be sure to check the first session guidance posted on ScombZ.***
Based on our university’s founding principle of ”nurturing engineers who learn from society and contribute to society,” this course explores how information science contributes to society and integrates with social sciences. Students will understand how computational social science, at the forefront of integrating humanities and sciences, contributes to SDGs, allowing them to visualize the connection between information science and social sciences.
The course introduces the latest research papers in computational social science, explaining their content and encouraging students to consider the social impact of information technology. Students will also experience how generative AI technologies, which have been attracting attention in recent years, can support their everyday learning.
While the course covers specific data analysis methods and mathematical models, explanations will be based on high school-level science knowledge, making it accessible even for students who are not confident in data or mathematical analysis.
Note: Some materials will be provided in English to accurately convey the content of the research papers, but assignments and communication with the instructor will be conducted in Japanese.
Based on our university’s founding principle of ”nurturing engineers who learn from society and contribute to society,” this course explores how information science contributes to society and integrates with social sciences. Students will understand how computational social science, at the forefront of integrating humanities and sciences, contributes to SDGs, allowing them to visualize the connection between information science and social sciences.
The course introduces the latest research papers in computational social science, explaining their content and encouraging students to consider the social impact of information technology. Students will also experience how generative AI technologies, which have been attracting attention in recent years, can support their everyday learning.
While the course covers specific data analysis methods and mathematical models, explanations will be based on high school-level science knowledge, making it accessible even for students who are not confident in data or mathematical analysis.
Note: Some materials will be provided in English to accurately convey the content of the research papers, but assignments and communication with the instructor will be conducted in Japanese.
- Understand the focus of computational social science.
- Understand how to use generative AI and its precautions.
- Understand international and interdisciplinary perspectives in achieving SDG goals.
- Recognize the ethical issues inherent in computational social science research processes.
| Instructor evaluation | Feedback Questionnaire (Attendance) | Total. | |
|---|---|---|---|
| 1. | 20% | 5% | 25% |
| 2. | 20% | 5% | 25% |
| 3. | 20% | 5% | 25% |
| 4. | 20% | 5% | 25% |
| Total. | 80% | 20% | - |
This course emphasizes the use of generative AI.
The final grade is calculated based on 12 reading assignments using generative AI (total 80 points) + attendance (20 points). Detailed evaluation criteria will be explained in the first session guidance materials.
Based on the above, a comprehensive evaluation will be conducted, and a score of 60 or above out of 100 points is required to pass.
The final grade is calculated based on 12 reading assignments using generative AI (total 80 points) + attendance (20 points). Detailed evaluation criteria will be explained in the first session guidance materials.
Based on the above, a comprehensive evaluation will be conducted, and a score of 60 or above out of 100 points is required to pass.
| Class schedule | HW assignments (Including preparation and review of the class.) | Amount of Time Required | |
|---|---|---|---|
| 1. | Introduction: Course Guidance | Review distributed materials | 250minutes |
| 2. | Political Science Focus 1 | Reading Assignment | 200minutes |
| 3. | Political Science Focus 2 | Reading Assignment | 200minutes |
| 4. | Sociology Focus 1 | Reading Assignment | 200minutes |
| 5. | Sociology Focus 2 | Reading Assignment | 200minutes |
| 6. | Economics Focus 1 | Reading Assignment | 200minutes |
| 7. | Economics Focus 2 | Reading Assignment | 200minutes |
| 8. | Large Language Models Focus 1 | Reading Assignment | 200minutes |
| 9. | Large Language Models Focus 2 | Reading Assignment | 200minutes |
| 10. | Media Studies Focus 1 | Reading Assignment | 200minutes |
| 11. | Media Studies Focus 2 | Reading Assignment | 200minutes |
| 12. | Information Ethics Focus 1 | Reading Assignment | 200minutes |
| 13. | Information Ethics Focus 2 | Reading Assignment | 200minutes |
| 14. | Q＆A Session | NA | 0minutes |
| Total. | - | - | 2650minutes |
| ways of feedback | specific contents about "Other" |
|---|---|
| Feedback outside of the class (ScombZ, mail, etc.) |
Textbook: None, as the course content is based on the latest research papers.
Materials required for assignments will be distributed via ScombZ.
Materials required for assignments will be distributed via ScombZ.
The first session will provide detailed explanations about the course format, content, and grading criteria, so please be
sure to watch it.
- Contact via email to the address specified during class.
- Course that cultivates an ability for utilizing knowledge
| Work experience | Work experience and relevance to the course content if applicable |
|---|---|
| N/A | N/A |
- 1.NO POVERTY
- 5.GENDER EQUALITY
- 10.REDUCED INEQUALITIES
- 13.CLIMATE ACTION
Last modified : Tue Mar 17 04:04:34 JST 2026