Keio University Syllabus and Timetable

THEORY AND PRACTICE OF TOKEN ECONOMIES B

Lecturer(s)FUKUHARA, MASAHIRO; SAITO, WAKUO
Credit(s)2
Academic Year/Semester2025 Fall
Day/PeriodTue.1
CampusMita
Class FormatFace-to-face classes (conducted mainly in-person)
Registration Number87619
Faculty/Graduate SchoolECONOMICS
Department/MajorECONOMICS Type A, B
Year Level3, 4
FieldMAJOR SUBJECTS ELECTIVE
Grade TypeThis item will appear when you log in (Keio ID required).
Course DescriptionIn this course, we first provide an overview of the core technologies that support Web3 such as blockchain. Then, we present examples of token economy applications such as NFT and X to Earn. As lecturers for this course, we plan to invite founders of startup companies and experts from IT companies and financial institutions.
K-Number FEC-EC-35113-212-07
Course AdministratorFaculty/Graduate SchoolFECECONOMICS
Department/MajorECECONOMICS
Main Course NumberLevel3Third-year level coursework
Major Classification5Major Subjects Course- Advanced Course
Minor Classification11Lecture - Econometrics and Statistics
Subject Type3Elective subject
Supplemental Course InformationClass Classification2Lecture
Class Format1Face-to-face classes (conducted mainly in-person)
Language of Instruction2English
Academic Discipline07Economics, business administration, and related fields

Course Contents/Objectives/Teaching Method/Intended Learning Outcome

Students who enroll in this class must frequently open their keio.jp e-mail and/or the page for this class on KLM (CANVAS). This is for the purpose of not missing important messages regarding this class.

This class is offered in both English and in Japanese. In this class, students form groups to promote a new token-economy product (business model and service), create its prototype and present it at the final presentation session. In preparation, there will be lectures on blockchains, Web3, DeFi (Decentralised Finance), DAO (Decentralized Autonomous Organization) and X to Eaern. Students will then learn how to use Figma and NetLogo. By this time students should be ready to form groups and decide a new business model and product to work on. Each group will be assigned a mentor who is working in this field. All groups present their progress at least twice during the term. The final presentation session will be in the form of a competition where mentors vote for the best product. Students who fail to provide a working prototype will receive lower grades.

For students who are absent for the fourth time (or more often than that) for whatever reason, the highest possible grade is B regardless of their class participation, quality of their presenation and product etc.
Not submitting the end of term assignment will result in a D for this class. Submission is via KLM (CANVAS). If the file you submit ends up being broken for some technical reason, we will ask you to re-upload your file. The evaluation will be a D if you fail to respond to such a request.

Active Learning MethodsDescription

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Preparatory Study

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Course Plan

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Method of Evaluation

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Textbooks

NA

Reference Books

TBA