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- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
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School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Undergraduate major in Transdisciplinary Science and Engineering
- Instructor(s)
- Obara Toru Tsutsui Hiroaki Nakamura Takashi Kanda Manabu Akita Daisuke
- Class Format
- Lecture / Exercise (Face-to-face)
- Media-enhanced courses
- Day/Period(Room No.)
- Mon1-2(S4-202(S422)，GSIC PC Room（ 南6号館S6−3とS6−1）) Thr1-2(S4-202(S422)，GSIC PC Room（ 南6号館S6−3とS6−1）)
- Group
- J
- Course number
- TSE.M201
- Credits
- 2
- Academic year
- 2024
- Offered quarter
- 1Q
- Syllabus updated
- 2024/4/8
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
The purpose of this course is to obtain basic knowledge of mathematics for solving various problems related to engineering and science from an interdisciplinary view point. Focusing on ordinary differential equations, the instructor lectures on basic skills for both theoretical and/or numerical solutions.
Student learning outcomes
By the end of this course, students will be able to:
(1) Judge which ordinary equations should be used to express the phenomena of interest.
(2) Solve the problem using theoretical and numerical methods.
(3) Understand the implications of solutions and interpret the phenomena physically.
Keywords
ordinary differential equations: theoretical solution: numerical solution: interdisciplinary view point: physical interpretation
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
Lectures mainly consist of classroom teaching, with a midterm exam and final exam. Homework and exercises are also provided to supplement the knowledge obtained by the students. After the end of each chapter, students will do a PC exercise and visualize the solution thereby deepening their physical insight into the phenomena of interest.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction of ordinary differential equations - as a tool to understand phenomena | Understand the necessity of learning mathematics in engineering and identify basic terminologies |
| Class 2 | First-order ordinary differential equation | Understand various phenomena expressed by first-order ordinary differential equations and obtain theoretical solutions |
| Class 3 | First-order ordinary differential equation (PC exercise) | Visualize the theoretical solutions of first-order ordinary differential equations using PC Understand various phenomena expressed by first-order ordinary differential equations and obtain theoretical solutions |
| Class 4 | Second-order homogeneous linear ordinary differential equation | Understand various phenomena expressed by first-order ordinary differential equations and obtain theoretical solutions |
| Class 5 | Second-order homogeneous linear ordinary differential equation (PC exercise) | Understand various phenomena expressed by second-order inhomogeneous linear ordinary differential equations and obtain the theoretical solutions |
| Class 6 | Second-order inhomogeneous linear ordinary differential equation | Understand various phenomena expressed by second-order inhomogeneous linear ordinary differential equations and obtain the theoretical solutions |
| Class 7 | Second-order inhomogeneous linear ordinary differential equation (PC exercise) | Understand various phenomena expressed by second-order inhomogeneous linear ordinary differential equations and obtain the theoretical solutions |
| Class 8 | Second-order linear ordinary differential equations of non-homogeneous order (resonance phenomena) - Finding exact solutions | Find exact solutions to second-order linear non-homogeneous ordinary differential equations. |
| Class 9 | Second-order linear non-homogeneous ordinary differential equations (resonance phenomena) - Motion of a mass point | Solve some basic examples of second-order linear non-homogeneous ordinary differential equations. |
| Class 10 | Second-order linear non-homogeneous ordinary differential equations (resonance phenomena) - circuit equation | Solve some basic examples of second-order linear non-homogeneous ordinary differential equations. |
| Class 11 | Numerical solution of ordinary differential equation - Euler method | Understand the Euler method to solve ordinary differential equations |
| Class 12 | Numerical solution of ordinary differential equation - Runge-Kutta method | Understand the Runge-Kutta method to solve ordinary differential equations |
| Class 13 | Numerical solution of ordinary differential equation - multiple, nth-order | Numerically solve multidimensional, nth-order linear ordinary differential equations. |
| Class 14 | Nonlinear ordinary differential equation and Chaos (PC exercise) | Visualize the numerical solutions of nonlinear ordinary differential equation using PC and deeply understand the corresponding Chaos phenomena |
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)
Ordinary Differential Equations and Physical Phenomena: A Short Introduction with Python, Kanda Manabu trans. Varquez Alvin CG, Asakura Publishing
(purchase through University Coop, Amazon, Rakuten, or the publisher's website)
Reference books, course materials, etc.
Supplementary Textbook:
Advanced Engineering Mathematics by Erwin Kreyszig.
About Python:
https://docs.python.org/3/ for python.
Online exercises:
Python exercises will be done through Google Colab.
Assessment criteria and methods
mid-term examination (45%)
term-end examination (45%)
mini-examinations or homeworks (10%)
Related courses
- TSE.M202 ： Partial Differential Equations for Science and Engineering
- TSE.M203 ： Theory of Linear System
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Nothing
Contact information (e-mail and phone) Notice : Please replace from "[at]" to "@"(half-width character).
varquez.a.aa[at]m.titech.ac.jp; takasu.h.aa[at]m.titech.ac.jp
Office hours
All communications will be conducted through T2Schola or Slack.
Private meetings (online) may be scheduled through T2Schola.
Students may also contact the instructor by e-mail.
