2020 Basic Mathematics for System Science

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Academic unit or major
Undergraduate major in Civil and Environmental Engineering
Instructor(s)
Chijiwa Nobuhiro  Muromachi Yasunori 
Course component(s)
Lecture / Exercise    (ZOOM)
Day/Period(Room No.)
Mon7-8(M114)  Thr7-8(M114)  
Group
-
Course number
CVE.M202
Credits
2
Academic year
2020
Offered quarter
2Q
Syllabus updated
2020/9/18
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) 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

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

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 (i.e., required knowledge, skills, courses, etc.)

None

Other

None

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