北海道大学 シラバス・成績入力システム／HOKKAIDO Univ. Entry System of Syllabi and Academic Records - シラバス印刷

2023/02/20 12:03

北海道大学シラバス
科目名
応用化学特別講義
講義題目
Leading and Advanced Materials Chemistry and Engineering IB - 2022
責任教員（所属）
島田 敏宏 ( 大学院工学研究院 )担当教員（所属）
島田 敏宏 ( 大学院工学研究院 )三浦 章 ( 大学院工学研究院 )他学部履修等の科目種別

可否

開講年度

2022

授業形態

講義

期間
単位数

通年不定
期

1

対象学科・クラス
ナンバリングコード

大分類名称

CHEM_ELCOM

総合化学院(共通科目）

6
中分類コード4

時間割番号094556

対象年次

〜

補足事項

Other Instructor: Wenhao SUN (University ofMichigan)

CHEM_ELCOM 6411

大分類コードレベルコード可レベル
大学院（修士・専門職）専門科目（発展的な内容の科目、研究指導科目）
中分類名称
集中講義

小分類コード

小分類名称

1

応用化学特別講義

言語英語で行う授業
実務経験のある教員等による授業科目

http://syllabus01.academic.hokudai.ac.jp/Syllabi/Public/Syllabus/SylPrint.aspx?mode=print&langMode=1

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北海道大学 シラバス・成績入力システム／HOKKAIDO Univ. Entry System of Syllabi and Academic Records - シラバス印刷

2023/02/20 12:03

キーワード
materials informatics, python

授業の目標
The course provides lectures combined with exercises. In the lecture, basic knowledge of statistical methods and machine learning formaterials research. In the exercises, we start from basic python programming and instruct how to use various libraries and databases.
Participants will understand and experience the flow from data to new useful findings. After the training, state-of-the-art results will begiven by a professor outside (Prof. Wenhao Sun, Univ. Michigan, USA) in the course.

到達目標
1. Understanding the basics of data science and machine learning, especially about terminology.
2. Learning how to use libraries and databases for python.
3. Practical usage of packages for materials informatics.

授業計画
1. What can we expect from data-science approach in chemistry and materials science.
2. Exercises of python programming.
3. Basics of informatics and machine learning approach.
4. Exercises using chemical and materials informatics packages.

準備学習(予習・復習)等の内容と分量
Requirement: personal computer equipped with a keyboard and internet connection
Homework: After each day, homework will be assigned. Students are graded based on the submitted homeworks and the final report.

成績評価の基準と方法
Students are requested to submit their programs and results prepared during the course.

有する実務経験と授業への活用

他学部履修の条件

テキスト・教科書
None
講義指定図書Any textbooks or websites on python language, pandas, and pymatgen
参照ホームページ
This course will be provided as part of the Hokkaido Summer Institute.
For more information (invited lecturers, course details, etc.), please visit the website below:
http://syllabus01.academic.hokudai.ac.jp/Syllabi/Public/Syllabus/SylPrint.aspx?mode=print&langMode=1

2 / 3ページ

北海道大学 シラバス・成績入力システム／HOKKAIDO Univ. Entry System of Syllabi and Academic Records - シラバス印刷

2023/02/20 12:03

https://hokkaidosummerinstitute.oia.hokudai.ac.jp/en/courses/CourseDetail=G063
研究室のホームページ
https://www.eng.hokudai.ac.jp/labo/kotai/en/index.html
https://www.eng.hokudai.ac.jp/labo/inorgsyn/cover-e.htm

備考
Required Equipment for a class (Laptop, etc.)
A computer with python installed. Instruction of installation will be given to registered students prior to the course.

更新日時
2022/03/01 11:49:01

http://syllabus01.academic.hokudai.ac.jp/Syllabi/Public/Syllabus/SylPrint.aspx?mode=print&langMode=1

3 / 3ページ

北海道大学 シラバス・成績入力システム／HOKKAIDO Univ. Entry System of Syllabi and Academic Records - シラバス印刷

2023/02/20 12:04

Hokkaido University Syllabus
Course Title
Advanced-Applied Chemistry
Subtitle
Leading and Advanced Materials Chemistry and Engineering IB - 2022
Instructor (Institution)
SHIMADA Toshihiro ( Faculty of Engineering )Other Instructors (Institution)
SHIMADA Toshihiro ( Faculty of Engineering )MIURA Akira ( Faculty of Engineering )Open To Other Faculties /Schools

Course TypeYear2022

SemesterType of Class

LectureNumber ofCredits

Full Year(Irregular)

Course Number094556

1

Year of Eligible Students〜Eligible Department /Class
Numbering Code
Major Category Code
CHEM_ELCOM
Level Code6
Middle Category CodeOK

Other Information
CHEM_ELCOM 6411
Major Category Title
Chemical Sciences and Engineering_Elective Course for Common Subjects
Level
Specialized Subjects (advanced) in graduate level (Master's Course and Professional Course)
Middle Category Title

4
Small Category CodeSmall Category Title

1Language TypeClasses are in English.
Course list by the instructor with practical experiences

Key Words
materials informatics, python

http://syllabus01.academic.hokudai.ac.jp/Syllabi/Public/Syllabus/SylPrint.aspx?mode=print&langMode=2

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北海道大学 シラバス・成績入力システム／HOKKAIDO Univ. Entry System of Syllabi and Academic Records - シラバス印刷

2023/02/20 12:04

Course Objectives
The course provides lectures combined with exercises. In the lecture, basic knowledge of statistical methods and machine learning formaterials research. In the exercises, we start from basic python programming and instruct how to use various libraries and databases.
Participants will understand and experience the flow from data to new useful findings. After the training, state-of-the-art results will begiven by a professor outside (Prof. Wenhao Sun, Univ. Michigan, USA) in the course.

Course Goals
1. Understanding the basics of data science and machine learning, especially about terminology.
2. Learning how to use libraries and databases for python.
3. Practical usage of packages for materials informatics.

Course Schedule
1. What can we expect from data-science approach in chemistry and materials science.
2. Exercises of python programming.
3. Basics of informatics and machine learning approach.
4. Exercises using chemical and materials informatics packages.

Homework
Requirement: personal computer equipped with a keyboard and internet connection
Homework: After each day, homework will be assigned. Students are graded based on the submitted homeworks and the final report.

Grading SystemStudents are requested to submit their programs and results prepared during the course.

Practical experience and utilization for classes

Condition of tasking the subject

Textbooks
None

Reading List

Websites
This course will be provided as part of the Hokkaido Summer Institute.
For more information (invited lecturers, course details, etc.), please visit the website below:
https://hokkaidosummerinstitute.oia.hokudai.ac.jp/en/courses/CourseDetail=G063

Website of Laboratory
https://www.eng.hokudai.ac.jp/labo/kotai/en/index.html
https://www.eng.hokudai.ac.jp/labo/inorgsyn/cover-e.htm

Additional Information

http://syllabus01.academic.hokudai.ac.jp/Syllabi/Public/Syllabus/SylPrint.aspx?mode=print&langMode=2

2 / 3ページ

北海道大学 シラバス・成績入力システム／HOKKAIDO Univ. Entry System of Syllabi and Academic Records - シラバス印刷

2023/02/20 12:04

Required Equipment for a class (Laptop, etc.)
A computer with python installed. Instruction of installation will be given to registered students prior to the course.

Update2022/03/01 11:49:01

http://syllabus01.academic.hokudai.ac.jp/Syllabi/Public/Syllabus/SylPrint.aspx?mode=print&langMode=2

3 / 3ページ