2025 (Current Year) Faculty Courses Liberal arts and basic science courses Humanities and social science courses
Collaboration across STEM and Liberal Arts: AI design concept and technology that supports digital humanities [1]
- Academic unit or major
- Humanities and social science courses
- Instructor(s)
- Hilofumi Yamamoto
- Class Format
- Lecture
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - Class
- -
- Course Code
- LAH.C655
- Number of credits
- 100
- Course offered
- 2025
- Offered quarter
- 3Q
- Syllabus updated
- Mar 19, 2025
- Language
- Japanese
Syllabus
Course overview and goals
This course is a 1-credit course.
Only students who meet the conditions ① and ② can enroll.
① Be enrolled before 2021.
② You must have already earned one credit in a liberal arts advanced subject.
Students enrolled in 2022 or later cannot take this course.
［Collaboration across STEM and Liberal Arts］are study group-type subjects that will start in 2024. Each time, students will engage in discussions with guest lecturers who are active leaders in their various fields. Together with participating doctoral graduate students, we will explore new developments and possibilities in convergence science.
The maximum number of students is 50 per class. If the number is exceeded, a lottery will be held.
Lectures and group work will primarily be conducted in English. However, some of the instructor's lectures may be given in Japanese. In such cases, we will use the automatic translation function as needed.
Students will take an e-learning session on research ethics in the first class. Submission of the “session-completion certificate” is required.
Course description and aims
The goal is to think about and discuss applications of AI that contribute to digital humanities (digital archives, humanities domain science with information science applications) and to create a system using AI (LLM).
Keywords
AI, LLM, digital humanities, language, history, religion, education, culture, Github, digital archives, Python, OpenAI, API access, programming
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
Students will attend lectures and engage in discussions on digitization, digital technologies, perspectives, and research sites in a wide range of humanities fields. Next, based on the basic technologies of AI, students will take one target humanities area, develop an AI program that may contribute to the subject, give a presentation, and discuss the program. The code will be published on Github, and a report will be submitted with development objectives, results, and evaluation.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Orientation | How to proceed with the class, rules, etc. |
| Class 2 | Current status of digital humanities and the potential of AI. | Design and planning of the system to be developed (1) |
| Class 3 | Basic technologies for digital humanities | Design and planning of the system to be developed (2) |
| Class 4 | Current status and research examples of DH in the art and music domain | Problems and solutions in the system under development (1) |
| Class 5 | Current status and research examples of DH in archaeology, history, and religious domains | Problems and solutions in the system under development (2) |
| Class 6 | Current status and research examples of DH in the language/linguistics and literature domain | Evaluation of the developed system and discussion (1) |
| Class 7 | Problems of using AI technology in DH | Evaluation of the developed system and discussion (2) |
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)
Fundamentals of Digital Humanities in the Western World
Institute for Humanities and Informatics (Supervisor), Naoki Kofu (Author, Editor), Jun Ogawa (Author, Editor)
Naoki Kokaze, Jun Ogawa, Munenori Oida, Soichi Nagano, Michio Yamanaka, So Miyagawa, Ikki Omukai, Kiyonori Nagasaki
Reference books, course materials, etc.
Introduction to Text Data Construction for the Humanities: Toward Compliance with the TEI Guidelines
Institute for Humanities and Informatics (Supervisor) Yuri Ishida / Ikki Omukai / Ayano Kofu / Kiyonori Nagasaki / Hajime Miyagawa / Yoichiro Watanabe (eds.)
Evaluation methods and criteria
Attend to each lecture seriously, participate in the discussion, and express constructive opinions (20%).
To develop a program by applying AI technology, demonstrate the result of the program development through presentation, and obtain evaluation (20%).
Students are expected to collaborate with each other to propose solutions to the program development (30%).
To publish the results on Github and submit a comprehensive report of the results for evaluation (30%).
Related courses
- LAH.A411 ： Linguistics D
- LAH.A551 ： Linguistics E
Prerequisites
Students must have Python programming skills, have already used ChatGPT-4 or be in a position to use it, and have the skills to present their developed programs on Google Corab and publish them on Github.
Other
Students must be enthusiastic about program development, as there will be a lot of actual discussion and development work as well as lectures.