Department of Global and Interdisciplinary Studies

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FRI100ZA(情報学フロンティア / Frontiers of informatics 100)
Information and Society

May Kristine Jonson Carlon

Class code etc
Faculty/Graduate school Department of Global and Interdisciplinary Studies
Attached documents
Year 2023
Class code A6192
Previous Class code
Previous Class title
Term 春学期授業/Spring
Day/Period 土2/Sat.2
Class Type
Campus 市ヶ谷 / Ichigaya
Classroom name 市外濠‐S603
Grade 1~4
Credit(s) 2
Notes
Open Program
Open Program (Notes)
Global Open Program
Interdepartmental class taking system for Academic Achievers
Interdepartmental class taking system for Academic Achievers (Notes) 制度ウェブサイトの3.科目別の注意事項(1)GIS主催科目の履修上の注意を参照すること。
Class taught by instructors with practical experience
SDGs CP
Urban Design CP
Diversity CP
Learning for the Future CP
Carbon Neutral CP
Chiyoda Campus Consortium
Duplicate Subjects Taken Under Previous Class Title
Category (commenced 2024 onwards)
Category (commenced 2020-2023) 100-level Introductory Courses(入門)
Management Sciences
Category (commenced 2016-2019) 100-level Introductory Courses
Business and Economy

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Outline and objectives

Information is now a fundamental feature of the human experience: we consume, produce, and use it to make important decisions. In this course, we will be approaching information studies from the lens of human-computer interaction, data visualization, and analytics. We will be introducing the students to various aspects of information and society: our changing views, how we utilize it, the effects of technological advancements, and our responsibility.

Goal

At the end of this course, the students are expected to apply critical thinking to exercise responsible digital citizenship. They should be able to discuss how information affects them as individuals and as a society, evaluate information credibility, and exercise caution in presenting information.

Which item of the diploma policy will be obtained by taking this class?

Will be able to gain “DP 1”, “DP 2”, “DP 3”, and “DP 4”.

Default language used in class

英語 / English

Method(s)(学期の途中で変更になる場合には、別途提示します。 /If the Method(s) is changed, we will announce the details of any changes. )

Course materials will be provided at least a week in advance via the learning management system. Each class will be kicked off with a short review from the previous week. This will be followed by lectures, discussions, and activities covering the topics given in the weekly schedule. Each class will close with a short retention quiz that students can choose to work on individually or collaboratively. A reminder of the assigned study materials and other announcements for the following week will also be given.

Active learning in class (Group discussion, Debate.etc.)

あり / Yes

Fieldwork in class

なし / No

Schedule

授業形態/methods of teaching:対面/face to face

※各回の授業形態は予定です。教員の指示に従ってください。

1[オンライン/online]:Introduction

Introduction: briefing on the course coverage and setting expectations.

2[対面/face to face]:Evolution of Information

A historical overview of the evolution of information will be presented: how was it disseminated and how has it grown through time.

3[対面/face to face]:Information Stakeholders

Custodianship, ownership, and access will be discussed.

4[オンライン/online]:Argumentation and Information

Critical thinking concepts such as fallacies will be reviewed. Examples where information was used for faulty argumentation will be presented.

5[対面/face to face]:Human Factors of Information Consumption

Cognitive biases will be reviewed and methods on how these biases were used to influence information consumption will be presented.

6[対面/face to face]:Information and Public Opinion

Landmark cases where information has swayed public opinion, both for the good and for the bad, will be discussed.

7[対面/face to face]:Midterm Reflection

Students will write a short reflection paper in advance on the lessons learned thus far and will be given a few minutes to explain portions of their reflections in a guided discussion manner.

8[対面/face to face]:Big Data and AI

Big data in key sectors such as healthcare, education, and national security will be introduced. Enablers of big data (e.g., increased computing power, internet) will also be discussed.

9[対面/face to face]:Data and AI Ethics

Examples of algorithms and practices used with information and how they can potentially threaten the society will be presented.

10[対面/face to face]:Information Security

Information security (confidentiality, integrity, and accessibility) along with its related concepts (cybersecurity, cryptography) will be introduced.

11[対面/face to face]:Digital Footprint

Landmark cases where digital footprints were used, both for the good and for the bad, will be discussed.

12[対面/face to face]:Future of Information

Expert predictions on how the future will change as we advance in the knowledge economy will be explored.

13[対面/face to face]:Responsible Digital Citizenship

Protective and ethical measures to prevent misinformation and promote healthy information activism will be debated.

14[オンライン/online]:Final Examination and Wrap-up

An open-book closed-response timed exam will be administered.

Work to be done outside of class (preparation, etc.)

Students are expected to read the relevant material for the week prior to class to promote lively discussion. Students may optionally prepare short reports for knowledge sharing in advance. Preparatory study and review time for this class are 2 hours each.

Textbooks

All reference materials will be made available at the start of the term.

References

These texts are recommended but not required:
Tufte, E. R. (1990). Envisioning information. Graphics Press.
Mackenzie, I. S. (2013). Human-Computer Interaction. An Empirical Perspective.
O'Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy.

Grading criteria

Quizzes: 40%
Participation: 20%
Midterm Reflection: 20%
Final Examination: 20%

Changes following student comments

Grading criteria were adjusted to lessen the percentage of participation. The contents for Introduction and Midterm Reflection were clarified. The Methods section was additionally modified to reflect how the class was actually conducted the previous year.

Prerequisite

None