Hiroshima University Syllabus

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Japanese
Academic Year 2026Year School/Graduate School Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Informatics and Data Science Program
Lecture Code WSN24101 Subject Classification Specialized Education
Subject Name 情報計算科学特論
Subject Name
(Katakana)
ジョウホウケイサンカガクトクロン
Subject Name in
English
Advanced Information and Computational Science
Instructor MATSUSHIMA KEI
Instructor
(Katakana)
マツシマ ケイ
Campus Higashi-Hiroshima Semester/Term 1st-Year,  Second Semester,  3Term
Days, Periods, and Classrooms (3T) Thur1-4
Lesson Style Lecture Lesson Style
(More Details)
Online (on-demand)
 
Credits 2.0 Class Hours/Week 4 Language of Instruction E : English
Course Level 5 : Graduate Basic
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 02 : Information Science
Eligible Students
Keywords  
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)
 
Class Objectives
/Class Outline
This course aims to provide students with fundamental knowledge of computational science within the field of information science. In particular, the course focuses on functional analysis, which forms the theoretical foundation of numerical analysis for differential and integral equations. 
Class Schedule lesson1: Overview
lesson2: Normed Spaces, Limits, and Continuity of Functions
lesson3: Cauchy Sequences and Completeness
lesson4: Compactness
lesson5: Inner Products and Best Approximation
lesson6: Bounded Operators (1)
lesson7: Bounded Operators (2)
lesson8: Compact Operators
lesson9: Riesz–Fredholm Theory (1)
lesson10: Riesz–Fredholm Theory (2)
lesson11: Riesz–Fredholm Theory (3)
lesson12: Riesz–Fredholm Theory (4)
lesson13: Numerical Quadrature
lesson14: Approximation of Integral Operators and the Nyström Method
lesson15: Summary and Wrap-up 
Text/Reference
Books,etc.
Rainer Kress, Linear Integral Equations, 3rd edition 
PC or AV used in
Class,etc.
(More Details)  
Learning techniques to be incorporated
Suggestions on
Preparation and
Review
Students are strongly encouraged to thoroughly review the material from calculus and linear algebra. 
Requirements  
Grading Method Homework 
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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