Course Overview

There has been a growing importance of efficiently and broadly finding and understanding relevant literature in a domain that is not your core area, due to an increase of interdisciplinary nature in research topics. Therefore, in this course, students will acquire literature survey skills in some of the areas in Informatics, and will learn major information sources and typical structure of academic articles, and finally, identify conferences and journals where students could aim to submit their work.

Learning Achievement

(1) To understand information sources and to develop an ability to search and obtain literature.
(2) To understand methods of reading the content of academic articles and books, and to develop an ability to critically read and comprehend them.

Competence

Knowledge application competence, Internationality competence, Media expertise, System expertise, Resource expertise

Course prerequisites

Grading Philosophy

Grading Method

Grading considers the assignment woks given in each domain based on the course objectives.

Percentage

- Assignment work : 100%, where each domain's assignment work constitutes 20%

Grading Criteria

Students will pass the course based on the following criteria.
- Assignments of all five domains are submitted before the deadlines
- Assignments of all five domains are above 60% of required criteria

The grade of A+ to C will be based on the average score of the assignments of five domains.

Course schedule

Information sources and literature search in System Science and Bioinformatics (Maeshiro)
Reading literature in System Science and Bioinformatics (Maeshiro)
Information sources and literature search in Archival Studies (Baryshev)
Reading literature in Archival Studies (Baryshev)
Information sources and literature search in Semantic Web and Internet Technologies (Sakaguchi)
Reading literature in Semantic Web and Internet Technologies (Sakaguchi)
Information sources and literature search in Cognitive Science and Artificial Intelligence (Matsubara)
Reading literature in Cognitive Science and Artificial Intelligence (Matsubara)
Information sources and literature search in Human Learning and Information Technology (Kim)
Reading literature in Human Learning and Information Technology (Kim)

Course type

Class Exercises

Online Course Requirement

Instructor

Maeshiro Tetsuya,Kim SunKyoung,Sakaguchi Tetsuo,Baryshev Eduard,Matsubara Masaki

Other information

Assignments
- Content: Assignment woks given by each domain based on the course objectives
- Amount: Once or twice per domain
- Submission: Specified by each domain
- Due date: Specified by each domain

Class format
- Online Real-time and On-Demand

Site for Inquiry

Link to the syllabus provided by the university