Course title
M30670001
Data Science Literacy

 TROVATO GABRIELE
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.
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.
Goals and objectives

 Goals and objectives Course Outcomes
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% -
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 90分
Review and do assignments 60分
2. Data being used in society Read the Consortium's materials for review 90分
Review and do assignments 60分
3. Areas of data and AI utilization Read the Consortium's materials for review 90分
Review and do assignments 60分
4. Data and AI Application Areas and Technologies for AI Utilization Read the Consortium's materials for review 90分
Review and do assignments 60分
5. The field of data and AI utilization Read the Consortium's materials for review 90分
Review and do assignments 60分
6. Latest trends in data and AI utilization Read the Consortium's materials for review 90分
Review and do assignments 60分
7. Ethics and laws in handling data and AI Read the Consortium's materials for review 90分
Review and do assignments 335分
8. 0分
9. 0分
10. 0分
11. 0分
12. 0分
13. 0分
14. 0分
Total. - - 1325分
Goals and objectives (Other Courses)
A:Fundamental Mechanical Engineering B:Advanced Mechanical Engineering C:Environment and Materials Engineering D:Chemistry and Biotechnology E:Electrical Engineering and Robotics G:Advanced Electronic Engineering F:Information and Communications Engineering L:Computer Science and Engineering H:Urban Infrastructure and Environment
Language
English
Evaluation method and criteria
Evaluation will be made based on reports or mini exams in each class.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in 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
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 : Thu Mar 14 04:10:36 JST 2024