FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE

共通 - 全学共通

GSD20360

コース情報

担当教員: ゴンサルベス タッド

単位数: 2

年度: 2024

学期: 春学期

曜限: 水2

形式: 対面授業

レベル: 200

アクティブラーニング: あり

他学部履修:

評価方法

出席状況

10%

授業参加

10%

リアクションペーパー

20%

授業内期末試験

授業期間中

30%

中間試験

授業期間中

30%

詳細情報

概要

The impact created by the rapid development of Artificial Intelligence (AI) is drastically changing our education, economy, and way of life. AI technology, which injects "intelligence" into computer software to solve various problems in human society, is being applied not only to scientific and engineering problems, but also to business, language, games, art, music, and more. In this course, students will learn the basics of various AI technologies and applications that have been in the news recently. The course does not include mathematics and programming. Rather, it is designed for humanities students to organize what they should know about AI before they start their job search and get involved in the development of AI systems for their employers. This course will also focus on the ethical issues of AI. It will explore the future development of potentially dangerous AI and encourage the development and use of safe AI.

目標

The course aims to provide students with the fundamentals of computer science, software, data science, and AI education at the literacy level. it will train students to acquire skills to extract meaning from data, utilize AI to solve problems in their own field of expertise. The course aims at acquiring basic knowledge of AI regardless of the department or faculty.

授業外の学習

At least two hours of preparation is necessary, before each lecture.

所要時間: At least 190 minutes per lecture.

スケジュール

  1. What is Artificial Intelligence?
  2. History of Artificial Intelligence
  3. Search Problems
  4. Data, Information, and Knowledge
  5. Expert Systems
  6. Natural Language Processing
  7. Academic ethics /Review Exercises (Lessons 1 ~6)
  8. Mid-term test
  9. Genetic Algorithm
  10. Game of Life
  11. Machine Learning 1
  12. AI & Future society
  13. PC security/Review Exercises (Lessons 9 ~13)
  14. Final exam

教科書

Lessons and reading materials will be uploaded on Moodle

  • Introduction to Artificial Intelligence: A non-Technical Introduction

    著者: Tad Gonsalves

    出版社: Sophia University Press, 2017.

参考書

書籍情報はありません。

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