2020 Faculty Courses School of Environment and Society Undergraduate major in Civil and Environmental Engineering
Basic Mathematics for System Science
- Academic unit or major
- Undergraduate major in Civil and Environmental Engineering
- Instructor(s)
- Nobuhiro Chijiwa / Yasunori Muromachi
- Class Format
- Lecture/Exercise (Zoom)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 7-8 Mon (M114) / 7-8 Thu (M114)
- Class
- -
- Course Code
- CVE.M202
- Number of credits
- 110
- Course offered
- 2020
- Offered quarter
- 2Q
- Syllabus updated
- Jul 10, 2025
- Language
- Japanese
Syllabus
Course overview and goals
This course is composed of lectures and exercises on basics of (1) eigenvalue problems, (2) systems of ordinary differential equations and (3) statistical methodologies for civil engineering.
Students are expected to be capable of understanding the basics and applying them to simple problems for civil engineering.
Course description and aims
Students are expected to be capable of understanding the basics of (1) eigenvalue problems, (2) systems of ordinary differential equations and (3) statistical methodologies and applying them to simple problems for civil engineering.
Keywords
Eigenvalue problems, Systems of ordinary differential equations, Statistics, Probability
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
Lecture and exercises
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Basics of matrices and vectors (NC) | To understand the basics of matrices and vectors |
| Class 2 | Eigenvalues and eigenvectors (NC) | To understand eigenvalues and eigenvectors |
| Class 3 | Basics of ordinary differential equations (NC) | To understand the basics of ordinary differential equations |
| Class 4 | Homogeneous ordinary differential equations (NC) | To enable to solve homogeneous ordinary differential equations |
| Class 5 | Non-homogeneous ordinary differential equations (NC) | To enable to solve nonhomogeneous ordinary differential equations |
| Class 6 | Systems of ordinary differential equations (NC) | To enable to solve systems of ordinary differential equations |
| Class 7 | Summary of eigenvalue problems and systems of ordinary differential equations (NC) | Understanding eigenvalue problems and systems of ordinary differential equations |
| Class 8 | Data and Basic Statistics (YM) | Understanding the concept of data and basic statistics |
| Class 9 | Concept of Random Variable (YM) | Understanding the concept of random variable |
| Class 10 | Regression Analysis (YM) | Understanding and practising regression analysis |
| Class 11 | Statistical Estimation (YM) | Understanding and practising statistical estimation |
| Class 12 | Statistical Hypothesis Testing (YM) | Understanding and practising statistical hypothesis testing |
| Class 13 | Experimental Design, Analysis of Variance, and Development of Statistical Approach (YM) | Understanding and practising experimental design, analysis of variance, and development of statistical approach |
| Class 14 | Summary of statistical approach (YM) | Understanding statistical approach |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
First half: Handouts will be provided by the instructor
Last half: Handouts will be provided by the instructor
Reference books, course materials, etc.
First half: Erwin Kreyszig, Advanced Engineering Mathematics 10th Edition, John Wiley & Sons (ISBN: 978-0-470-64613-7)
Last half: None
Evaluation methods and criteria
Assignments (40%) and exam (60%)
Related courses
- LAS.M102 ： Linear Algebra I / Recitation
- LAS.M106 ： Linear Algebra II
- LAS.M108 ： Linear Algebra Recitation II
- CVE.M201 ： Basic Mathematics for Physical Science
Prerequisites
None
Other
None