リテラシーレベル
【全学部】
ＡＩ・データサイエンス
a副専攻
全学部共通のKSU基盤教育で学ぶAI関連科目を基礎に文系・理工系・芸術系に設置している「AI」「データサイエンス」科目を副専攻として
学ぶことができます。
All faculties
Expected to play an active role in various fields
AI and data science talent
While there is a high demand from many companies for AI and data science talent who can immediately contribute in the real world, there is said to be a chronic shortage. This is because in addition to data analysis, advanced knowledge of marketing, statistics, programming, and other fields is required. However, in the future, we will enter an era in which AI and data science will have to be learned and utilized by people other than experts.
Certification validity period: Until March 31, 2018
Recommended for:
-
Humanities and Arts
FacultyI want to use programming from the Faculty of Science and Engineering to analyze tourism data!
-
art·
Science and engineering
FacultyI want to study statistics in the Faculty of Faculty of Economics to design a suitable database!
-
Humanities
Science and engineering
FacultyI want to study Data Science in Faculty of Art and Design to utilize design data!
Comments from participants and graduates
自身の研究活動だけでなく、社会に出てからも役立つ知識が身に付くと思い、受講しました。
「他学部他学科」科目の単位修得は少し大変でしたが、その分、幅広い視点で学びを深めることができました。文理芸融合の総合大学だからこそできる学びだと感じています。
本副専攻での学びがガクチカになると思ったため、受講しました。
特にプログラミング関係の授業では、ワークを交えながら学習をするので、自分のアイデアを形にでき、とても興味深く楽しく学ぶことができ ました。今後の就職活動では、本副専攻で学んだことを自信をもってアピールしたいと思います。
Due to the rapid advances being made in AI, I felt that even students who are not science students should be able to acquire knowledge about AI in addition to their studies in my own department, so I decided to take this course.
Through this minor, I learned about IT trends and social changes, and in particular, in "Marketing Research Theory," I was able to learn how to conduct effective surveys that I can use in my research activities.
Not only will your knowledge increase, but after learning about things outside your field of expertise, returning to your own field of expertise will change your perspective and broaden your horizons. If you are unsure about taking this course, I highly recommend it.
With the emergence of programs like GPT, I felt a sense of crisis that our jobs might be taken over by AI, so I decided to start learning about AI from an early stage through this minor.
In particular, the classes I took, which covered copyrights, points to note when using ChatGPT, and the use of the simulation software "MATLAB," gave me knowledge and skills that I can use in my graduation research.
AI will continue to develop rapidly, and the trend to create better things will continue to grow. There was a lot to learn about how things work, so I recommend taking this course.
When I first enrolled, I saw a flyer about the AI/Data Science minor and became interested, so I took the course.
Although this minor requires me to earn credits for courses from other faculties and departments, I was able to gain new perspectives and knowledge that I could not have learned from courses from other faculties and departments. I would like to continue learning about AI and data science in the future.
自身の研究活動だけでなく、社会に出てからも役立つ知識が身に付くと思い、受講しました。
「他学部他学科」科目の単位修得は少し大変でしたが、その分、幅広い視点で学びを深めることができました。文理芸融合の総合大学だからこそできる学びだと感じています。
本副専攻での学びがガクチカになると思ったため、受講しました。
特にプログラミング関係の授業では、ワークを交えながら学習をするので、自分のアイデアを形にでき、とても興味深く楽しく学ぶことができました。今後の就職活動では、本副専攻で学んだことを自信をもってアピールしたいと思います。
Due to the rapid advances being made in AI, I felt that even students who are not science students should be able to acquire knowledge about AI in addition to their studies in my own department, so I decided to take this course.
Through this minor, I learned about IT trends and social changes, and in particular, in "Marketing Research Theory," I was able to learn how to conduct effective surveys that I can use in my research activities.
Not only will your knowledge increase, but after learning about things outside your field of expertise, returning to your own field of expertise will change your perspective and broaden your horizons. If you are unsure about taking this course, I highly recommend it.
With the emergence of programs like GPT, I felt a sense of crisis that our jobs might be taken over by AI, so I decided to start learning about AI from an early stage through this minor.
In particular, the classes I took, which covered copyrights, points to note when using ChatGPT, and the use of the simulation software "MATLAB," gave me knowledge and skills that I can use in my graduation research.
AI will continue to develop rapidly, and the trend to create better things will continue to grow. There was a lot to learn about how things work, so I recommend taking this course.
When I first enrolled, I saw a flyer about the AI/Data Science minor and became interested, so I took the course.
Although this minor requires me to earn credits for courses from other faculties and departments, I was able to gain new perspectives and knowledge that I could not have learned from courses from other faculties and departments. I would like to continue learning about AI and data science in the future.
A minor major system only possible at a comprehensive university!
Based on the AI-related subjects learned in KSU Fundamental Education common to all faculties, students can study "AI" and "Data Science" subjects in the humanities, science and engineering, and arts as a minor. Even for the same "AI" subject, the approach is very different between the humanities and science and engineering. By taking advantage of the minor system and acquiring knowledge from other faculties, students can aim to become AI and data science specialists.
Systematic learning that transcends the boundaries of faculties and departments is now possible!
"AI and Data Science Education" is designed to allow students to systematically learn about the fields of AI and data science, from the introductory to the applied level. Upon earning the required credits, students will receive a certificate of completion for the minor, which can be listed in the "Licenses and Qualifications" section of their resumes when job hunting.
AI/Data Science Education Certificate Application
全学部共通のKSU基盤教育で学ぶAI関連科目を基礎に文系・理工系・芸術系に設置している
「AI」「データサイエンス」科目を副専攻として学ぶことができます。
[Literacy level]
申請期間:別途K'sLifeにて通知
注意事項:修了要件を満たしていることを確認したうえで申請をしてください。
修了要件を満たしていない等、不備がある場合は授与できません。
応用基礎レベル
【理工学部】数理・データサイエンス・AI教育プログラム
理工学部のプログラムとして、数理・データサイエンス・AIを実践的に活用できる
応用基礎力を学ぶことができます。
Faculty of Science and Engineering
認定の有効期限：令和12年3月31日まで
| Skills that can be acquired |
・Acquire applied knowledge in mathematics, data science, and AI that is needed in society. - Through systematic study, students will gain advanced, practical knowledge and experience in mathematics, data science, and AI. - Acquire basic applied skills to practically utilize mathematics, data science, and AI in your own field of expertise. |
|---|
| Features |
■段階的なカリキュラム ・学ぶ意義の理解（「AI導入」） ・理工学部としての数理的理解（「微分積分I」「線形代数I」） ・理工学部としての計算機活用（「情報リテラシー」「プログラミング入門」 「プログラミング基礎I」） ・理工学の分野へ応用（「AIプログラミング演習」「AIリテラシー」「AI応用」） ■理工学部の教員で担当（ 「AI導入」は基礎教育センター教員） ■講義記録システム、オフィスアワーによる授業外学習支援 ■教授会を中心に教育改善・質向上の活動 |
|---|
| 構成する科目と 修了要件 |
A "Certificate of Completion" will be awarded to students who meet the following requirements.
・Earn all credits for required courses and at least two credits for elective courses |
|---|
| Classification | Subject name | unit | Year of commencement | Department, etc. | remarks |
|---|---|---|---|---|---|
| Required | Calculus I | 2 | 1 | All Departments | |
| Linear Algebra I | 2 | 1 | All Departments | ||
| AI introduction | 1 | 1 | KSU Fundamental Education | 2025年度入学者以降 | |
| AI introduction | 2 | 1 | KSU Fundamental Education | 2024年度入学者まで | |
| Introduction to programming | 2 | 1 | All Departments | ||
| Programming Basics I | 2 | 1 | All Departments | ||
| Information Literacy | 2 | 1 | All Departments | ||
| choice | AI programming exercises | 2 | 2 | Department of Mechanical Engineering Department of Information Engineering |
|
| AI literacy | 2 | 3 | Department of Mechanical Engineering | ||
| AI Applications | 2 | 2 | Department of Electrical Engineering |
*Please check the syllabus search system for details of each subject.
