2021 International Colloquium in Decision Science and Technology(SOC) II

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Academic unit or major
Social Engineering
Academic Supervisor 
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Course description and aims

This two-quarter long course is designed to give students specialist knowledge in their fields of study as well as basic knowledge in broad areas with a focus on research assignments that are suggested by the academic supervisor (assignments may be decided through discussions with the academic supervisor). Students will incorporate gained knowledge into their own research, participate in academic discussions, and give presentations of their findings.
The aims of the above-mentioned process are not only to develop the students' skills in such areas as literature search and analysis, mapping techniques, and techniques for collecting, analyzing, and assessing data, but also to acquire linguistic proficiency and comprehension skills as well as the ability to present ideas and arguments effectively in academic writings and through discussions and presentations.

Student learning outcomes

Students will acquire the following in stages by completing Research Seminars 1-4:
1. Professional expertise for identifying fundamental scientific and technical issues encountered in social engineering.
2. Ability to independently acquire expertise in areas outside the field of social engineering and connect it to practical problem solving
3. Ability to freely use specialist knowledge to solve problems and come up with creative ideas
4. Ability to conduct research with awareness of the international trends in research and development
5. Ability to explain concepts logically, develop arguments, and put them in writings


Literature search, data collection, data analysis, academic-paper writing, presentation training, discussion training, laboratory-based education, coursework

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

This course is held at the academic supervisors' laboratories. The course schedule will be determined through discussions with students. In some cases, multiple laboratories may choose to hold joint classes.
Basically it will be held in English.

Course schedule/Required learning

  Course schedule Required learning
Class 1 To be announced by each laboratory To be announced by each laboratory

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.


Specified by the academic supervisor as necessary.

Reference books, course materials, etc.

Specified by the academic supervisor as necessary.

Assessment criteria and methods

Specifics of the assessment criteria and methods, which are in accordance with the student learning outcomes 1–5, will be announced prior to the start of the course.

Related courses

  • ZDD.Y492 : International Colloquium in Decision Science and Technology(SOC) II
  • ZDD.Y592 : International Colloquium in Decision Science and Technology(SOC) IV
  • ZDD.Y591 : International Colloquium in Decision Science and Technology(SOC) III
  • ZDD.Y491 : International Colloquium in Decision Science and Technology(SOC) I

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Students must be those in the IGP(A)-GLES program and a member of one of the laboratories in the Department of Social Engineering.

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