Course title
M30670001
Data Science Literacy

 TROVATO GABRIELE
Middle-level Diploma Policy (mDP)
Program / Major mDP Goals
先進国際課程 A-1 A-1 Students shall obtain basic and advanced knowledge and skills in mathematics, natural and computer sciences as well as presentation skills to communicate on their knowledge with scholars from various fields.
(改組前)先進国際課程 A-1 A-1 Students shall obtain basic and advanced knowledge and skills in mathematics, natural and computer sciences as well as presentation skills to communicate on their knowledge with scholars from various fields.
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. Students can explain the use of data in society and changes resulting from its use.
  2. Students can explain about the fields of data and AI utilization and the technologies for their utilization.
  3. Students can explain the current status of data and AI applications.
  4. Students can explain 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
English
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
  • On appointment (contact gabu@shibaura-it.ac.jp)
Regionally-oriented
Development of social and professional independence
    Active-learning course
    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 : Sat Mar 14 13:54:41 JST 2026