Microeconomics of Competitiveness: Firms, Clusters and Economic Development Restoration Culture Restructuring work and the economy in postindustrial cities Migrants in cities: governance, solidarities and borderwork at the urban scale Media Education

This lecture will comprehensively learn the following topics and provide models and practice related to these topics; school and public libraries in a lifelong-learning society, what learning environments from analog to digital including networks should be, and media usage, application and education in these environments.

Specifically, this course will enable students’ understanding of the concept of “”media literacy,”” which requires the ability to collect, judge, create and communicate information effectively. It also focuses on the importance of media-based education and maintenance of learning environments, and the current state and future issues and includes discussions regarding further development. (1) Introduction (Tsuji)

(2) Recent media use and effects, Concept of media literacy, and overview of media education (Suzuki)

(3) History and current state of media education in Japan and foreign countries (Suzuki)

(4) Construction of media education programs, and future issues of media education (Suzuki)

(5) History of Distance Education (Tsuji)

(6) Current Status of e-Learning (Tsuji)

(7) Effectiveness and Copyright of e-Learning (Tsuji)

(8) Present trends and issues of school libraries in Japan (Ono)

(9) International trends of school libraries and inquiry-based learning (Ono)

(10) Future prospects for school libraries and media education / Overall summary (Ono) Degree Programs in Comprehensive Human Sciences Master’s Program in Informatics Tsukuba Campus Semantic research ability, Media expertise Suzuki Kanae,Tsuji Keita,Ono Haruki Tue1,2 0ATW158 2.0 1・2 Lectures Classes are offered in English in even-years and in Japanese in odd-years, respectively; Special subjects for Library and Information Science
Identical to 01MBC12 and 01MBC13.
Online(Asynchronous) – Students are asked to view the course materials uploaded to manaba or Microsoft Stream in every asynchronous online class.

– Short tests or reports are assigned in every class. The deadlines are at least three days after every class. The submissions are counted as attendance.

– Final reports are assigned in the end of the term. The deadline is provided after all the classes end. Assignments will be given based on course objectives and graded by the following policy.

Final examination 70%, and short tests and reports 30%

Students need to score above 60% in total to pass the course. https://kdb.tsukuba.ac.jp/syllabi/2021/0ATW158/eng/

Literature Survey

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. (1) Information sources and literature search in System Science and Bioinformatics (Maeshiro)

(2) Reading literature in System Science and Bioinformatics (Maeshiro)

(3) Information sources and literature search in Archival Studies (Baryshev)

(4) Reading literature in Archival Studies (Baryshev)

(5) Information sources and literature search in Semantic Web and Internet Technologies (Sakaguchi)

(6) Reading literature in Semantic Web and Internet Technologies (Sakaguchi)

(7) Information sources and literature search in Cognitive Science and Artificial Intelligence (Matsubara)

(8) Reading literature in Cognitive Science and Artificial Intelligence (Matsubara)

(9) Information sources and literature search in Human Learning and Information Technology (Kim)

(10) Reading literature in Human Learning and Information Technology (Kim) Degree Programs in Comprehensive Human Sciences Master’s Program in Informatics Tsukuba Campus Knowledge utilization, Internationality, Media expertise, System expertise, Resource expertise Maeshiro Tetsuya,Sakaguchi Tetsuo,Baryshev Eduard,Matsubara Masaki,Kim SunKyoung Mon・Thu5,6 0ATW214 2.0 1 Class Exercises In every year, classes are offered in English; Methodological Foundation Courses
Identical to 01MBD52.
Lecture is conducted in English.
Hybrid or Others
1st-6th Online Asynchronous, 7th-10th, Online Synchronous How to distribute lecture materials

– Depends on each domain, will be described in manaba

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 (simultaneous interactive and on-demand)

– Some domains use Teams

– On-Demand Classes: 1st – 6th

– Simultaneous Interactive Classes: 7th – 10th

Attendance

– Will check the attendance in simultaneous interactive classes

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 the minimum criteria

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

Tetsuya Maeshiro,Tetsuo Sakaguchi,Eduard Baryshev,Masaki Matsubara,SunKyoung Kim maeshiro@slis.tsukuba.ac.jp,saka@slis.tsukuba.ac.jp,baryshev@slis.tsukuba.ac.jp,masaki at slis.tsukuba.ac.jp,kimsun@slis.tsukuba.ac.jp https://kdb.tsukuba.ac.jp/syllabi/2021/0ATW214/eng/

Survey and Data Analysis

This course covers qualitative research, quantitative survey, and data analysis using a computer. With lectures and group work, students are expected to learn how to plan and implement a survey and conduct data analysis. In addition to traditional data analysis methods, newly developed statistical methods will be presented, which will help understand characteristics of data from different view points. (1) Guidance: Basics of qualitative research, quantitative survey, and data analytics (Wakabayashi)

(2) Qualitative research 1: Design and implementation (Teruyama)

(3) Qualitative research 2: Analysis of qualitative data (Teruyama)

(4) Quantitative survey 1: Making survey forms and collecting data (Yu)

(5) Quantitative survey 2: Analysis of quantitative data (Yu)

(6) Data analysis 1: Introduction to statistical analysis software (Kim)

(7) Data analysis 2: Analysis using open data (Kim)

(8) Content analysis 1: Planning and implementing content analysis (Wakabayashi)

(9) Content analysis 2: Analyzing content data (Wakabayashi)

(10) Summary (Yu) Degree Programs in Comprehensive Human Sciences Master’s Program in Informatics Tsukuba Campus Knowledge utilization, Management ability,Teamwork ability, Semantic research ability, Mathematical research ability Yu Haitao,Teruyama Junko,Wakabayashi Kei,Kim SunKyoung Mon・Thu3,4 0ATW216 2.0 1 Class Exercises In every year, classes are offered in English; Methodological Foundation Courses
Identical to 01MBD51.
Lecture is conducted in English.
Online(Synchronous) Class format

・Online Synchronous

・Use Zoom (Meeting ID and Passcode for students to connect will be available on manaba) Assignments will be given based on course objectives and graded by the following policy.

By reports, assigned four times (25% each). Students need to score above 60 on a scale of 0-100 in order to pass the course. Haitao Yu,Junko Teruyama,Kei Wakabayashi,SunKyoung Kim yuhaitao@slis.tsukuba.ac.jp,teruyama@slis.tsukuba.ac.jp,kwakaba@slis.tsukuba.ac.jp,kimsun@slis.tsukuba.ac.jp https://kdb.tsukuba.ac.jp/syllabi/2021/0ATW216/eng/

Information Organization

In this lecture, students will learn about organizing to utilize various information resources efficiently. They learn about information resource analysis and its metadata description, classification and identification methods, targeting information resources that are mainly provided and shared via a network such as WWW or digital library. This lecture also discusses practical metadata descriptions such as Linked Open Data, schema definitions, and ontologies using RDF Schema, OWL, SKOS, etc. for description. In addition, as methods of record identification for electronic information resources, the course explains the identification method using appropriate identifier, data cleaning and automatic identification method. (1) Overview of information organization (Kato, Takaku, Nagamori)

(2) Metadata (Nagamori)

(3) Schema (Nagamori)

(4) Ontology (Nagamori)

(5) Identifiers (Kato)

(6) Identification of information resources (Kato)

(7) Cataloging (Takaku)

(8) Authority control (Takaku)

(9) Classification (Takaku)

(10) Summary and discussion (Kato, Takaku, Nagamori) Degree Programs in Comprehensive Human Sciences Master’s Program in Informatics Tsukuba Campus Semantic research ability, System expertise, Resource expertise Takaku Masao,Kato Makoto,Nagamori Mitsuharu Thu5,6 0ATW157 2.0 1・2 Lectures Classes are offered in English in even-years and in Japanese in odd-years, respectively; Special subjects for Library and Information Science; Teacher Training Course
Identical to 01MBB05 and 01MBC07.
Online(Synchronous) == Online course style and tools ==

Online (Synchronous) with Zoom. In addition, Slack is used for Q&A.

== Assignment details ==

Each lecturer will give assignments on their lecture contents.

The assignments should be submitted at manaba. Assignments will be given based on course objectives and graded by the following policy.

Reports (100%)

The requirement for obtaining the credit is to achieve 60 out of 100 or a higher score for the assignments.

The grade (A+ ~ C) is given based on the score for the assignments. Masao Takaku,Makoto Kato,Mitsuharu Nagamori masao@slis.tsukuba.ac.jp,mpkato@slis.tsukuba.ac.jp,nagamori@slis.tsukuba.ac.jp https://kdb.tsukuba.ac.jp/syllabi/2021/0ATW157/eng/

Analysis of Knowledge and Information

This course introduces the concepts of knowledge and their formation and acquisition methods. The initial units discuss the concept of knowledge. After having seen the definition of knowledge as justified true belief and its criticism (the Gettier problem etc.), we argue about the sharing of knowledge in light of theories of meaning from the viewpoint of relativism and its criticism. The subsequent units introduce three ways of thinking about knowledge formation from the viewpoint of embodied cognition and discuss them in light of recent research trends. The last units introduce methods of knowledge representation and acquisition based on informetric models, focusing on the interrelations between knowledge, information and data. (1)Definition of Knowledge: Classic Definition (Yokoyama)

(2)Definition of Knowledge: The Gettier Problem (Yokoyama)

(3)Sharing of Knowledge: Relativism 1 (Yokoyama)

(4)Sharing of Knowledge: Relativism 2 (Yokoyama)

(5)Knowledge Formation: Ecological Approach, Embodied Cognition (Matsubara)

(6)Knowledge Formation: Perceptual Symbol System (Matsubara)

(7)Knowledge Formation: Conceptual Metaphor Theory (Matsubara)

(8)Knowledge, Information and Data: Informetric Model (Yoshikane)

(9)Knowledge Representation: Statistical and Network Models (Yoshikane)

(10)Knowledge Acquisition: Statistical and Network Analyses (Yoshikane)

Degree Programs in Comprehensive Human Sciences Master’s Program in Informatics Tsukuba Campus Knowledge utilization, Semantic research ability, Resource expertise Yokoyama Mikiko,Yoshikane Fuyuki,Matsubara Masaki Fri1,2 0ATW131 2.0 1・2 Lectures Classes are offered in English in even-years and in Japanese in odd-years, respectively; Special subjects for Information Interaction; Teacher Training Course
Identical to 01MBA01 and 01MBA02.
Hybrid or Others
1st-4th Online Asynchronous, 5th-7th Online Online Asynchronous and Online Synchronous, 8th-10th Online Asynchronous 1st-10th Online Asynchronous

Use manaba to communicate, distribute lecture materials, and confirm attendance. Access manaba during the regular hours of the first class. Tasks based on the items indicated in the goals will be assigned multiple times, and three parts (1)-(4), (5)-(7), (8)-(10) will be evaluated as one theme each.

For the entire subject, each theme is totaled with the weight at 1:1:1, and those with a total score of 60 points or more will pass. Mikiko Yokoyama,Fuyuki Yoshikane,Masaki Matsubara mikiko@slis.tsukuba.ac.jp,,masaki at slis.tsukuba.ac.jp https://kdb.tsukuba.ac.jp/syllabi/2021/0ATW131/eng/

Recommendation Systems

Various aspects of recommender systems such as methods, implementation, evaluation and problems will be introduced. More specifically, representative recommendation methods such as user-based collaborative filtering, item-based collaborative filtering (association rules), content-based filtering (which represents contents of items as various numericals), knowledge-based recommendation (which requires users to show their interests) and hybrid recommendation based on machine learning using various information will be introduced. How to measure appropriateness of recommendation i.e. notion of precision, recall, novelty or serendipity for users will also be shown. (1) Overview of recommender system: Methods, representative implementations and problems (Tsuji)
(2) Collaborative filtering: User-based and item-based collaborative filtering (association rule) (Tsuji)
(3) Content-based filtering: Content representation, similarity measure and use of machine learning (Tsuji)
(4) Knowledge-based recommender system: Constraint-based and case-based recommendation (Tsuji)
(5) Hybrid recommender system: Switching and combining methods of recommendation based on users’ situations (Matsumura)
(6) Evaluation of recommender system: Metrics such as precision, recall, novelty, diversity and serendipity, and experimental research design (Matsumura)
(7) Various state-of-the-art recommender systems: Systems which aim to improve new evaluation metrics and which take into consideration users’ situations (contexts) such as their intention and position information (Matsumura)
(8) Developing recommender system (1): Basics of programming and implementation of collaborative filtering (Matsumura)
(9) Developing recommender system (2): Implementation of user/item-based collaborative filtering (Matsumura)
(10) Developing recommender system (3): Introduction to R and its recommendation packages (Tsuji) Degree Programs in Comprehensive Human Sciences Master’s Program in Informatics Tsukuba Campus Mathematical research ability, System expertise Tsuji Keita,Matsumura Atsushi Fri1,2 0ATW133 2.0 1・2 Lectures Classes are offered in Japanese in odd-years and in English in even-years, respectively; Special subjects for Information Interaction; Teacher Training Course
Identical to 01MBB03.
Online(Asynchronous) Students are asked to view the course materials when convenient (i.e. on-demand type classes). The course materials can be obtained as PowerPoint files in manaba and can be viewed as movie files in Microsoft Stream. Assignments will be given based on course objectives and graded by the following policy:
Short test assigned in every class in manaba 60%, term paper 40%. https://kdb.tsukuba.ac.jp/syllabi/2021/0ATW133/eng/

Human Computer Interaction

This course provides lectures on Human-Computer Interaction (HCI). Basics of HCI for realizing natural interaction, and brief overview of design, implementation, and evaluation methodologies for building interactive systems are explained. Technological elements for intelligent systems such as user interface (UI), robotics, computer vision and recognition are in the scope. The course also touches on recent research advancement in social computing for supporting and augmenting human communication and information sharing. (1) Introduction and the basics of HCI: Mikawa

(2) Basics of HCI: Mikawa

(3) Technological elements and trend for interactive systems I (sensors): Mikawa

(4) Technological elements and trend for interactive systems II (I/O devices): Mikawa

(5) Technological elements and trend for interactive systems III (software): Mikawa

(6) Design and implementation methodologies for interactive systems: Inoue

(7) Evaluation methodologies for interactive systems: Inoue

(8) Application demains of HCI: Inoue

(9) Interdisciplinary fields of HCI: Inoue

(10) User-centered interactive systems, Course summary: Inoue Degree Programs in Comprehensive Human Sciences Master’s Program in Informatics Tsukuba Campus Mathematical research ability, Media expertise, System expertise Inoue Tomoo,Mikawa Masahiko Tue3,4 0ATW134 2.0 1・2 Lectures Classes are offered in English in even-years and in Japanese in odd-years, respectively; Special subjects for Information Interaction; Teacher Training Course
Identical to 01MBB11 and 01MBC16.
Online(Asynchronous) On-demand classes will be offered depending on the situation. Assignments will be given based on course objectives and graded by the following policy.

Reports (including written exercises) (to be assigned multiple times during the term) 100%

50% will be from the first half of the lecture and another 50% from the second half, which makes the maximum score of 100 points. 60 points or more is required to pass.

Grades of A+ to C will also be based on the score. Tomoo Inoue,Masahiko Mikawa inoue@slis.tsukuba.ac.jp,mikawa@slis.tsukuba.ac.jp https://kdb.tsukuba.ac.jp/syllabi/2021/0ATW134/eng/

Communication Behavior

This course discusses interpersonal communication via quantitative survey approach. Students are expected to learn how various media usage influences interpersonal communication and selective behaviors. This course will introduce the history and development of various media, namely: (1) from mass media to social media, and (2) their effects on users’ identity formation, (3) language use, (4) perception of communication media and interpersonal relationships especially social support networks. Through this course, students will be able to acquire basic skills to understand existing body of research studies conducted both within and outside of Japan. Degree Programs in Comprehensive Human Sciences Master’s Program in Informatics Tsukuba Campus Communication skills; Mathematical research skills; Expertise for media Toshimori Atsushi,Ye Shaoyu Tue5,6 0ATW135 2.0 1・2 Lectures Classes are offered in English in even-years and in Japanese in odd-years, respectively; Special subjects for Information Interaction; Teacher Training Course
Identical to 01MBA11.
Online(Synchronous) Students are required to understand discussion on the basis of statistics. We will conduct the classes using “Teams.” The overall evaluation will be based on the below activies and should be over 60% in total.

1) material preparation, discussion points submission, class participation (50%);

2) 2 final reports (50%) Atsushi Toshimori,Shaoyu Ye tosimori@slis.tsukuba.ac.jp,shaoyu@slis.tsukuba.ac.jp https://kdb.tsukuba.ac.jp/syllabi/2021/0ATW135/eng/