International Practical Exercise in Decision Science and Technology(SOC) II

Academic unit or major

Social Engineering

Instructor(s)

Academic Supervisor

Class Format

Experiment

Media-enhanced courses

-

Day of week/Period
(Classrooms)

Seminar

Class

-

Course Code

ZDD.I452

Number of credits

001

Course offered

2022

Offered quarter

1-2Q

Syllabus updated

Jul 10, 2025

Language

English

Syllabus

Course overview and goals

This two-quarter long course is designed to give students specialist knowledge in their fields of study as well as basic knowledge in a broader area, with a focus on research assignments that are suggested by the academic supervisor (assignments may be decided through discussions with the academic supervisor). The students will incorporate this knowledge into their own researches, 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 survey and data collection, and methods of experiments.

Course description and aims

Students are expected to acquire the following abilities:
1) Data collection and analysis
2) Social survey
3) Experiments in social science

Keywords

Data collection, Social survey, Experiment

Competencies

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

Class flow

Classes are held at the academic supervisors' laboratories. The course schedule will be determined through discussions held among students and the academic supervisor. In some cases, multiple laboratories may choose to hold joint classes. Basically the course will be held in English.

Course schedule/Objectives

Study advice (preparation and review)

To enhance effective learning, students are encouraged to spend a certain length of time outside of class on preparation and review (including for assignments), as specified by the Tokyo Institute of Technology Rules on Undergraduate Learning (東京工業大学学修規程) and the Tokyo Institute of Technology Rules on Graduate Learning (東京工業大学大学院学修規程), for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

None specified

Reference books, course materials, etc.

None specified

Evaluation methods and criteria

Evaluated by the supervisor in the light of progress

Related courses

• ZDD.I451 ： International Practical Exercise in Decision Science and Technology(SOC) I

Prerequisites

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