2024 Information Literacy I 3a(IL1)

Font size  SML

Register update notification mail Add to favorite lecture list
Academic unit or major
Basic science and technology courses
Wakita Ken 
Class Format
Lecture / Exercise    (Face-to-face)
Media-enhanced courses
Day/Period(Room No.)
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
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.


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.



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


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.

Page Top