Course title
118201101
Data Science Literacy

 YASUMURA Yoshiaki
Middle-level Diploma Policy (mDP)
Program / Major mDP Goals
Fundamental Mechanical Engineering C 自然科学の原理から基本的な物理現象を数学的に導くことができ、機械の設計や性能評価に必要な技術計算、情報処理を正確に行うことができる。
Advanced Mechanical Engineering C 自然科学の原理から基本的な物理現象を数学的に導くことができ、機械の設計や性能評価に必要な技術計算、情報処理を正確に行うことができる。
Environment and Materials Engineering D 的確な判断のもとに技術者として責任ある行動をとることができる。
Chemistry and Biotechnology D 的確な判断のもとに技術者として責任ある行動をとることができる。
Electrical Engineering and Robotics A 多様な視点から種々の文化や社会の発展の歴史を学び、多面的に物事を捉えることができる。
Advanced Electronic Engineering A 豊かな教養を持ち、幅広い視点から物事を考え理解する基礎的能力を身に付けることができる。
Information and Communications Engineering A-4 情報処理の基礎知識を広く活用することができる。
Computer Science and Engineering A 数学、自然科学、情報利用技術を問題解決に応用することができる。
Computer Science and Engineering D 情報技術が社会に及ぼす影響、情報技術者としての倫理、情報セキュリティに関する理解を得ることができる。
Urban Infrastructure and Environment C 数学や⾃然科学などに関する⼯学基礎知識を修得し、⼟⽊⼯学分野において応⽤・利活⽤できる。
Purpose of class
Data handling is an essential part of most engineering research.
In addition, data science is an inseparable part of current and future engineering.
The purpose of this class is to provide you with the knowledge of the history and current status of data science in engineering research so that you can acquire literacy in your graduation research.
Course description
In this class, you will learn about the history of data science and what fields of society and research are currently using data science.
You will also learn about the ethics and laws that are necessary when handling data.
Goals and objectives
  1. To be able to learn about the use of data in society and changes resulting from its use.
  2. To be able to learn about the fields of data and AI utilization and the technologies for their utilization.
  3. To be able to learn the current status of data and AI applications.
  4. To be able to learn the rules for handling data and AI.
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 レポートまたは小テスト Total.
1. 30% 30%
2. 30% 30%
3. 25% 25%
4. 15% 15%
Total. 100% -
Evaluation method and criteria
Evaluation will be made based on reports or mini exams in each class.
Language
Japanese
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Changes that are happening in society Read the Consortium’s materials for review 90minutes
Review and do assignments 60minutes
2. Data being used in society Read the Consortium’s materials for review 90minutes
Review and do assignments 60minutes
3. Areas of data and AI utilization Read the Consortium’s materials for review 90minutes
Review and do assignments 60minutes
4. Data and AI Application Areas and Technologies for AI Utilization Read the Consortium’s materials for review 90minutes
Review and do assignments 60minutes
5. The field of data and AI utilization Read the Consortium’s materials for review 90minutes
Review and do assignments 60minutes
6. Latest trends in data and AI utilization Read the Consortium’s materials for review 90minutes
Review and do assignments 60minutes
7. Ethics and laws in handling data and AI Read the Consortium’s materials for review 90minutes
Review and do assignments 335minutes
8. 0minutes
9. 0minutes
10. 0minutes
11. 0minutes
12. 0minutes
13. 0minutes
14. 0minutes
Total. - - 1325minutes
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback outside of the class (ScombZ, mail, etc.)
Textbooks and reference materials
教科書：教養としてのデータサイエンス　内田誠一など著　講談社
参考資料：コンソーシアム教材資料
Prerequisites
None
Office hours and How to contact professors for questions
  • Ask your classroom teacher
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
Active-learning course
About half of the classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A N/A
Education related SDGs:the Sustainable Development Goals
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Tue Mar 17 04:04:58 JST 2026