学部・大学院区分
Undergraduate / Graduate
学部
時間割コード
Registration Code
0061611
科目名 【日本語】
Course Title
[(共通)G30]SML (Mathematics for machine learning)
科目名 【英語】
Course Title
[G30]Special Mathematics Lecture(Mathematics for machine learning)
使用言語
Language Used in the Course
担当教員 【日本語】
Instructor
BACHMANN Henrik lennart ○
担当教員 【英語】
Instructor
BACHMANN Henrik lennart ○
単位数
Credits
2
開講期・開講時間帯
Term / Day / Period
秋 月曜日 6時限
Fall Mon 6


授業の目的 【日本語】
Goals of the Course [JPN]
Mathematics play a central role in all natural and social sciences. It is a universal language which can be learned, enjoyed, and shared by everybody. The goal of this course is to provide a solid knowledge on various mathematical topics. Each semester, a new subject is proposed, and the presentation is accessible to all motivated students, independently of their major and of their academic age. These lectures also offer a unique opportunity to study in an international, transdisciplinary, and friendly environment.
授業の目的 【英語】
Goals of the Course [ENG]
Mathematics play a central role in all natural and social sciences. It is a universal language which can be learned, enjoyed, and shared by everybody. The goal of this course is to provide a solid knowledge on various mathematical topics. Each semester, a new subject is proposed, and the presentation is accessible to all motivated students, independently of their major and of their academic age. These lectures also offer a unique opportunity to study in an international, transdisciplinary, and friendly environment.
授業の達成目標 【日本語】
Objectives of the Course [JPN]
In this course, we will consider various specific algorithms used in machine learning. For each algorithm we will study the mathematics used in this algorithm and try to implement the algorithm in python. The plan is to encourage group work among the students so that students with different background knowledge can help out each other. For the programming part we will use Google Colab. It can be seen as a bridge between the basic math classes and the engineering/computer science classes.
授業の達成目標 【英語】
Objectives of the Course [ENG]
In this course, we will consider various specific algorithms used in machine learning. For each algorithm we will study the mathematics used in this algorithm and try to implement the algorithm in python. The plan is to encourage group work among the students so that students with different background knowledge can help out each other. For the programming part we will use Google Colab. It can be seen as a bridge between the basic math classes and the engineering/computer science classes.
教科書
Textbook
A list of free online sources and books will be provided during the lectures. But we will also create lecture notes together during the course.
課外学修等
Study Load (Self-directed Learning Outside Course Hours)
Depending on the background knowledge in programming some students might to recall/lookup some commands for python.
注意事項
Notice for Students
You will get updated information on the course homepage: https://www.henrikbachmann.com/mml2023.html
本授業に関するWebページ
Reference website for this Course
https://www.henrikbachmann.com/mml2023.html
担当教員からのメッセージ
Message from the Instructor
実務経験のある教員等による授業科目(大学等における修学の支援に関する法律施行規則に基づくもの)
Courses taught by Instructors with practical experience
授業開講形態等
Lecture format, etc.
B-2)Face-to-face course (Including some on-demand classes)
対面授業の場合の講義室は、時間割B表(名大ポータル>教養教育院ページ掲載)を確認すること。