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- School of Science
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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Basic science and technology courses
- Instructor(s)
- Yamamura Masayuki Kobayashi Norimasa
- Class Format
- Lecture / Exercise (Face-to-face)
- Media-enhanced courses
- Day/Period(Room No.)
- Wed3-4(南4号館3階第2演習室)
- Group
- 4a(IL1)
- Course number
- LAS.I111
- Credits
- 1
- Academic year
- 2024
- Offered quarter
- 1Q
- Syllabus updated
- 2024/3/14
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
The course emphasizes the development of information utilization skills crucial for success in university life. Its primary focus lies in cultivating students' abilities to (1) acquire general knowledge common in society, (2) enhance practical skills necessary for efficient information utilization, and (3) navigate academic information systems available within the university.
Additionally, the course will explore ethical norms guiding responsible behavior in the information society, along with the utilization of data and artificial intelligence (AI).
Student learning outcomes
By the end of the course, students will understand and effectively utilize the information infrastructure services provided by the university, develop proficiency in comprehending various information systems and engaging in seamless communication within the information society, and act appropriately based on a solid understanding of information security, as well as ethical considerations related to information, AI, and data.
Keywords
information literacy, data science, AI
Competencies that will be developed
| Specialist skills | Intercultural skills | ✔ Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
During the lectures, students will also work on practical exercises.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Tokyo Tech Information Infrastructure | Learn about the configuration and usage of the university-wide educational computing system, as well as the foundational systems that support it, including the Tokyo Tech Portal and the Tokyo Tech email system. |
| Class 2 | Communication in Cyberspace | Learn how to use the Tokyo Tech email and Slack/Box systems. Understand appropriate methods for exchanging information in cyber networks. |
| Class 3 | Computers and the Internet | Learn about the principles and mechanisms of computer operation, basic concepts of the Internet, and services on the Internet with a focus on the web. Additionally, use Tokyo Tech's educational computers to confirm basic operations such as file and folder management. |
| Class 4 | Information Security | Learn about security threats in information systems, measures at the individual level, strategies for enhancing security, and the fundamental technologies and principles of information security. |
| Class 5 | Library Usage, Information Retrieval, and Copyright | Learn about accessing academic information resources provided by the library, using library materials and understanding copyright. Also, study the principles of information retrieval and evaluating the quality of retrieved information, methods for collecting information using the Internet, searching for academic papers, and including the utilization of generative AI. |
| Class 6 | Data and AI Utilization in Society | Understand the use of data science and AI, along with learning about the new challenges posed by AI transformation and the direction data science aims to take. |
| Class 7 | Ethics of Information, AI, and Data | Learn about the protection of personal information and privacy in the collection and utilization of personal data, issues related to information intermediation and dissemination, fairness in services utilizing AI, and ethical considerations in judgments made by AI and generated content. Study these concepts alongside past case studies to understand various perspectives. |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, the students should refer to the relevant sections of the distributed materials, and spend approximately 100 minutes on both preparation and review (including assignments) for each class session.
Textbook(s)
none
Reference books, course materials, etc.
Lecture materials will be distributed.
Assessment criteria and methods
The grade will be based on the assignments submitted during the lectures. There will be no final exam.
Related courses
- LAS.I112 ： Information Literacy II
- LAS.I121 ： Computer Science I
- LAS.I122 ： Computer Science II
Prerequisites (i.e., required knowledge, skills, courses, etc.)
No prerequisites
Other
Please carry your student ID during class. A first-year student should take the class designated by the student division (Kyomu-ka). A non-first-year student should take a class "a" except 2a.
