Keio University Syllabus and Timetable

SEMINAR B(1)

Lecturer(s)HATTORI, TAKASHI
Credit(s)2
Academic Year/Semester2025 Fall
Day/PeriodThu.4
CampusSFC
Class FormatFace-to-face classes (conducted mainly in-person)
Registration Number37401
Faculty/Graduate SchoolPOLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Year Level1, 2, 3, 4
FieldRESEARCH SEMINARS SEMINARS
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Recommended Knowledge微積分、線形代数、統計
LocationSFC
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Student Screening
*For conditions regarding "additional permission", please refer to the "Student Screening Details" section. Approval for additional permission is at the lecturer's discretion, and is not guaranteed.
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Screening Method
*If selection is by lottery: Complete the course registration process and check your permission status on the course registration screen. If selection is by assignment: Carefully review the "Student Screening Details" section, register for the course via the "Assignment Submission URL," and submit the required assignment.
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Course DescriptionThe Seminar is central to activities at SFC where faculty members and students work together on a diversity of issues as a prelude to the Graduation Project. At SFC, students do not merely learn answers to given problems. Education at SFC aims to nurture and send out leaders of the future who are able to identify problems and create methods of resolving them. Through participation in such research, students work on real problems in society and gain a high level of expertise, and with this in hand, they embark on their Graduation Project that will be their "fruit of designing the future" as well as a personal proposal as they advance towards the future as individuals.
K-Number FPE-CO-05003-311-60
Course AdministratorFaculty/Graduate SchoolFPEPOLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Department/MajorCO
Main Course NumberLevel0Faculty-wide
Major Classification5Research Seminars
Minor Classification00Seminar
Subject Type3Elective subject
Supplemental Course InformationClass Classification3Seminar
Class Format1Face-to-face classes (conducted mainly in-person)
Language of Instruction1Japanese
Academic Discipline60Information science, computer engineering, and related fields

Course Summary

Anyone can carry out machine learning as long as they have data, thanks to various tools and libraries provided in recent several years. However, you cannot properly use the outputs of programs without knowing their meaning. It is necessary to understand the algorithms and theoretical basis of how the results were derived.
In this seminar, we are going to have a reading society of the book "Build a Large Language Model (From Scratch)" so that we can understand the structure of LLM by constructing it.

Course Description/Objectives/Teaching Method/Intended Learning Outcome

In this seminar, we are going to have a reading society of the book "Build a Large Language Model (From Scratch)" so that we can understand the structure of LLM by constructing it.

Research Seminar Theme

Build a Large Language Model (From Scratch)

Project Theme (next semester)

Machine Learning (details to be determined)

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

Sebastian Raschka著, 巣籠悠輔監訳, 株式会社クイープ訳, つくりながら学ぶ!LLM 自作入門, マイナビ出版(2025), ISBN 978-4839987800