Hiroshima University Syllabus

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Japanese
Academic Year 2024Year School/Graduate School School of Science
Lecture Code HA000000 Subject Classification Specialized Education
Subject Name 数学英語演習
Subject Name
(Katakana)
スウガクエイゴエンシユウ
Subject Name in
English
English Seminar on Mathematics
Instructor HONDA NAOKI
Instructor
(Katakana)
ホンダ ナオキ
Campus Higashi-Hiroshima Semester/Term 2nd-Year,  Second Semester,  3Term
Days, Periods, and Classrooms (3T) Tues3-4,Fri1-2:Online
Lesson Style Seminar Lesson Style
(More Details)
 
Lecture, reading of mathematical text written in English, translation and comprehension in Japanes 
Credits 1.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 2 : Undergraduate Low-Intermediate
Course Area(Area) 21 : Fundamental Competencies for Working Persons
Course Area(Discipline) 06 : Globalization/International cooperation studies
Eligible Students all students of Hiroshima University
Keywords Machine learning, Data science 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
 
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)
Mathematics
(Abilities and Skills)
・Being able to conduct daily communication orally or in papers using foreign languages. 
Class Objectives
/Class Outline
To read text of applied mathematics written in English. To learn how to understand english literature. 
Class Schedule lesson1: Introduction
lesson2: Reading
lesson3: Reading
lesson4: Reading
lesson5: Reading
lesson6: Reading
lesson7: Reading
lesson8: Reading
lesson9: Reading
lesson10: Reading
lesson11: Reading
lesson12: Reading
lesson13: Reading
lesson14: Reading
lesson15: Reading  
Text/Reference
Books,etc.
Hands out will be distributed. The hands out will be used as the text.
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control, by Steven L. Brunton and J. Nathan Kutz 
PC or AV used in
Class,etc.
 
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
Study hard the text before and after each session. 
Requirements  
Grading Method Presentations and reports 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message  
Other   
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. 
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