Data Science Center

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PRI100LD(情報学基礎 / Principles of informatics 100)
Introduction to Data Science A

Yasushi KODAMA, Kunihiko TAKAMATSU, Miki TAKATA

Class code etc
Faculty/Graduate school Data Science Center
Attached documents
Year 2022
Class code A9990
Previous Class code
Previous Class title
Term 春学期授業/Spring
Day/Period 集中・その他/intensive・other courses
Class Type
Campus
Classroom name 各学部・研究科等の時間割等で確認
Grade
Credit(s) 2
Notes
Open Courses
Open Courses (Notes)
Global Open Courses
Interdepartmental class taking system for Academic Achievers
Interdepartmental class taking system for Academic Achievers (Notes)
Class taught by instructors with practical experience

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Outline (in English)

[Course Outline]
  The development of information and communication technologies has made it easy to collect large amounts and variety of data. This course aims to understand the importance and value of these data, how they are useful in solving problems related to various phenomena and making decisions in modern society, and to examine the impact of big data on society.
[Learning Objectives]
  Understand the role of data science in modern society and the general methods of data collection and utilization. Not only the benefits of data science, but also the ethics and morals to recognize risks and protect data.
[Learning Activities Outside of Classroom]
  The standard preparatory study and review time for this class is 2 hours each. Work on quizzes, etc. that are imposed online.
[Grading Criteria /Policy]
  Evaluation is based on the total score of each check test (60%), in-class comprehensive test (final test) (35%), and submission of each questionnaire (5%).
Please note that each check test has a deadline.

Default language used in class

日本語 / Japanese