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2023 Students Enrolled in or before 2015 Graduate School of Decision Science and Technology Value and Decision Science

Colloquium in Value and Decision Science VII

Academic unit or major
Value and Decision Science
Instructor(s)
Academic Supervisor
Class Format
Exercise
Media-enhanced courses
-
Day of week/Period
(Classrooms)
Seminar
Class
-
Course Code
ZDB.Z693
Number of credits
020
Course offered
2023
Offered quarter
1-2Q
Syllabus updated
Jul 8, 2025
Language
Japanese

Syllabus

Course overview and goals

This two-quarter long course is designed to give students specialist knowledge in their field 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 research themes to carry out research, participate in academic discussions, and give presentations of their findings.

The aims of the abovementioned process are not only to develop the students’ skills in such areas as literature search and analysis, as well as the ability to present ideas and arguments effectively in academic writing and through discussions and presentations. Graduate education at Tokyo Tech is comprised of coursework education based on a structured curriculum and laboratory work characterized by individualized instruction. Research Seminar courses are central to the laboratory-based education, and active learning is strongly encouraged. By enrolling in Research Seminar courses and pursuing research activities, students are expected to develop high level expertise in their field of study, analytical and organizational capability, the ability of value-creation and fostering think of ways to solve problems.

Course description and aims

Ability to freely utilize specialist knowledge to solve problems and provide creative ideas
Ability to conduct research with awareness of the trends in research and development and an international grasp of the field
Ability to explain concepts logically, develop arguments, and put them in writing

Keywords

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

Competencies

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

Class flow

Check with your academic supervisor.

Course schedule/Objectives

Course schedule Objectives
Class 1 To be announced by each laboratory. To be announced by each laboratory.

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)

Specified by the academic supervisor as necessary.

Reference books, course materials, etc.

Specified by the academic supervisor as necessary.

Evaluation methods and criteria

Evaluation by daily work and the level of achievement.

Related courses

  • ZDB.Z491 : Colloquium in Value and Decision Science I
  • ZDB.Z492 : Colloquium in Value and Decision Science II
  • ZDB.Z591 : Colloquium in Value and Decision Science III
  • ZDB.Z592 : Colloquium in Value and Decision Science IV
  • ZDB.Z691 : Colloquium in Value and Decision Science V
  • ZDB.Z692 : Colloquium in Value and Decision Science VI
  • ZDB.Z693 : Colloquium in Value and Decision Science VII
  • ZDB.Z694 : Colloquium in Value and Decision Science VIII
  • ZDB.Z695 : Colloquium in Value and Decision Science IX
  • ZDB.Z696 : Colloquium in Value and Decision Science X

Prerequisites

Students must be a member of one of the laboratories in the course.

Contact information (e-mail and phone) Notice : Please replace from ”[at]” to ”@”(half-width character).

Academic supervisor

Office hours

As needed