OVERVIEW OF DATA SCIENCE【C Block】
共通 - 全学共通
GSD101C1
コース情報
担当教員: 荒井 隆行
単位数: 2
年度: 2024
学期: 春学期
曜限: 木5
形式: 対面授業
レベル: 100
アクティブラーニング: あり
他学部履修: 可
評価方法
出席状況
授業参加
リアクションペーパー
小テスト等
その他
assignments and/or presentations etc.
詳細情報
概要
In the current society, we are facing a rapid development of digitalization and globalization, resulting in big changes in social and industrial structures. As a consequence, data science is becoming an increasingly important part of our daily lives. In this course, we will understand more about the concept of data science and how we can utilize any data available around us. In addition, introductory skills to analyze data will also be covered. Legal and ethical issues are also discussed, including data related to an individual's personal information. This course is not an introduction on how to become data scientists. Rather, it is an overview of data science and triggering awareness of it in our current society.
目標
By the end of the semester, students will be familiar with many of the basics on data science. Especially, 1. Understanding how data can be utilized and exploring how AI is used in our society; 2. Acquiring basic skills on data literacy; and 3. Understanding legal and ethical issues related to data and AI.
授業外の学習
1) The skills that students learn will be needed in future classes. For this, 80-min. preparation is required. Please check the syllabus and the Moodle course, and based on each topic, students should prepare for the next class. 2) They are requested to review the contents of each lecture at home (110 min.). By using the handouts and/or your notes taken during each lecture, review the contents before the next class.
所要時間: 190 minutes
スケジュール
- Introduction (The following schedule might be changed depending on the class progression.)
- Daily life and data science
- Business and data science
- Public policy and data science
- Collecting/observing data
- Different types of data
- Basics of measurements
- Data analysis
- Data mining
- Prediction
- Manipulating data
- Data and security
- Legal and ethical issues in data science
- Conclusion
教科書
Handouts will be distributed in a class.
参考書
書籍情報はありません。