### 2024　Basic Mathematics for System Science

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Undergraduate major in Civil and Environmental Engineering
Instructor(s)
Chijiwa Nobuhiro  Seo Toru
Class Format
Lecture / Exercise    (Face-to-face)
Media-enhanced courses
Day/Period(Room No.)
Tue5-6(W8E-307（W833）)  Fri5-6(W8E-307（W833）)
Group
-
Course number
CVE.M202
Credits
2
2024
Offered quarter
2Q
Syllabus updated
2024/3/14
Lecture notes updated
-
Language used
Japanese
Access Index

### Course description and aims

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.

### Student learning outcomes

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 that will be developed

 ✔ Specialist skills Intercultural skills Communication skills ✔ Critical thinking skills ✔ Practical and/or problem-solving skills

### Class flow

Lecture and exercises

### Course schedule/Required learning

Course schedule Required learning
Class 1 Basics of matrices and vectors (NC) Understanding basics of matrices and vectors
Class 2 Eigenvalues and eigenvectors (NC) Understanding eigenvalues and eigenvectors
Class 3 Basics of ordinary differential equations (NC) Understanding basics of ordinary differential equations
Class 4 Homogeneous ordinary differential equations (NC) Learning to solve homogeneous linear differential equations.
Class 5 Non-homogeneous ordinary differential equations (NC) Learning to solve nonhomogeneous linear differential equations.
Class 6 Systems of ordinary differential equations (NC) Learning to solve systems of 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 (TS) Understanding statistical approach
Class 9 Probability distribution (TS) Understanding the concept of probability distribution
Class 10 Statistical Estimation (TS) Understanding and practicing statistical estimation
Class 11 Statistical Hypothesis Testing (TS) Understanding and practicing statistical hypothesis testing
Class 12 Regression Analysis (TS) Understanding and practicing regression analysis
Class 14 Summary of Statistical Approach (TS) Understanding the concept of data and basic statistics

### Out-of-Class Study Time (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

### Assessment criteria and methods

First half: Assignments (20%) and exam (80%)
Latter half: 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

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