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2022　Colloquium in Value and Decision Science X

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Academic unit or major
Value and Decision Science
Instructor(s)
Academic Supervisor 
Class Format
Exercise    (Livestream)
Media-enhanced courses
Day/Period(Room No.)
Seminar ()  
Group
-
Course number
ZDB.Z696
Credits
2
Academic year
2022
Offered quarter
3-4Q
Syllabus updated
2022/8/31
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

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.

Student learning outcomes

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 that will be developed

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

Class flow

Check with your academic supervisor.

Course schedule/Required learning

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

Textbook(s)

Specified by the academic supervisor as necessary.

Reference books, course materials, etc.

Specified by the academic supervisor as necessary.

Assessment criteria and methods

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

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

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