2019 Essence of Humanities and Social Sciences44:Digital Humanities

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Academic unit or major
Humanities and social science courses
Instructor(s)
Kudo Akira  Kawashima Takanori  Kawase Akihiro 
Class Format
Lecture     
Media-enhanced courses
Day/Period(Room No.)
Intensive ()  
Group
-
Course number
LAH.S509
Credits
1
Academic year
2019
Offered quarter
2Q
Syllabus updated
2019/5/24
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

Humanities has been done in traditional methodologies of humanities. On the other hand, Digital Humanities is a new scholarship which utilizes developping digital techniques and it plans to synthesize knowledge of humanities and techniques of science. It starts with how to archive cultural heritage, and moves to appropriate format for describing multilingual multidisciplinary data, and also considers about quantitative semantic analysis based on large scale data and computer resources. In the lecture, fields of literature, music, criticism and religions are focused as a target, and new horizon of humanities are presented by utilizing digital humanities.

Student learning outcomes

The one goal is to study how to analyze humanities fields by various digital techniques. The other is to consider about humanities iteself and to think about possibilities of scientific methodologies, and future visions of scolarships.

Keywords

Digital Humanities, Open Data, Digital Archive, Intellectual Property Rights, Copyright, Text Mining, Stylometrics, Style Shift, Creative Writing, Geographic Information System, Computational musicology

Competencies that will be developed

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

Class flow

Because Digital Humanities are new scholarship, there is no traditional clear methodologies. Therefore in the lecture, based on examples of analysis, it is examined what type of methodologies and approaches are effective for what types of data and goals. Assessment will be based on brief reports or assignments given at the end of each day.

This is a three day intensive course, and dates and time periods are as follows:
August 7th: Class 1(Period 3-4), Class 2(Period 5-6), Class 3(Period 7-8)
August 8th: Class 4(Period 3-4), Class 5(Period 5-6), Class 6(Period 7-8)
August 9th: Class 7(Period 3-4), Class 8(Period 5-6)
Students are required to attend all classes throughout the three days.

Classes will be held in Room 716, 7th floor, West Bldg. 9, Ookayama Campus.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Overview of Digital Humanities To learn about the extent of Digital Humanities as discipline
Class 2 Digital Archive / Open Data To learn activities to save and use research data
Class 3 Methodologies of Quantitative Text Analysis To understand basic methodorogies to analyze text statiscally
Class 4 Bibliometrics To learn what can be clarified based on quantitative analysis of metadata of text
Class 5 Quantitative creative writing To learn writing styles and revision process based on observational data of novel writing
Class 6 Intellectual Property Rights To learn about copyright to protect valuable information created by human intelectual activities
Class 7 Geographic Information System To learn about fundamental of GIS and examples of GIS utilization in digital humanities
Class 8 Computational musicology To understand significance and methodologies of digitizing music based on cutting-edge research philosophy

Textbook(s)

None required.

Reference books, course materials, etc.

Akifumi Tokosumi, Hajime Murai, "Approaching to quality from quantity", Shinyo-sha (Japanese), ISBN-10: 478851396X

Assessment criteria and methods

Assessment will be based on brief reports or assignments given at the end of each day (100%).

Related courses

  • N/A

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

None required.

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

Professor Takehiro Inohara, inostaff[at]shs.ens.titech.ac.jp

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