2025 (Current Year) Faculty Courses School of Environment and Society Undergraduate major in Transdisciplinary Science and Engineering
Partial Differential Equations for Science and Engineering E
- Academic unit or major
- Undergraduate major in Transdisciplinary Science and Engineering
- Instructor(s)
- Alvin Christopher Galang Varquez
- Class Format
- Lecture/Exercise (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 7-8 Tue / 7-8 Fri
- Class
- E
- Course Code
- TSE.M202
- Number of credits
- 110
- Course offered
- 2025
- Offered quarter
- 2Q
- Syllabus updated
- Mar 25, 2025
- Language
- English
Syllabus
Course overview and goals
This course focuses on the fundamental mathematics of the partial differential equation (PDE) and methods to solve the PDE. Topics include "description of physical problems with PDE", "features of PDE", "typical method to get an analytical solution of PDE" and "numerical method to solve PDE". In the classes concerning "numerical methods", computer practices are scheduled.
PDE plays an important role as a common language to describe and solve various physical problems. It must be useful to acquire the skill to describe physical problems with PDE and to understand physical phenomena using PDE.
Course description and aims
By the end of this course, students will be able to:
I. Describe typical physical problems in PDE.
II. Understand physical phenomena from PDE.
III. Solve various PDE by analytical method.
IV. Solve various PDE by numerical method.
Student learning outcomes
実務経験と講義内容との関連 (又は実践的教育内容)
I work with weather models or physical models. These models are based on the laws of physics, which are mathematically represented by differential equations. - Alvin
Keywords
Partial differential equation (PDE), modeling of the physical phenomena, advection equation, wave equation, diffusion/heat equation, Poisson equation, analytical solution, numerical solution
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
In the first half part of this course, theoretical aspects of PDE are introduced. In the latter half part, numerical methods to solve PDE through programming (Python) are discussed.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Introduction of partial differential equation | Review mathematical definition and laws of partial difference. Learn types or categories of partial differential equations. |
| Class 2 | Modeling of flow phenomena with the hyperbolic PDE | Learn the modeling of advection (transport) phenomena due to flow |
| Class 3 | Analytical solution of the hyperbolic PDE (D'Alembert Solution) | Learn the method of analytical solution of the hyperbolic PDE using the D'Alembert Solution |
| Class 4 | Analytical solution of the hyperbolic PDE (Fourier Series) | Learn the method of analytical solution of the hyperbolic PDE using the Fourier Series |
| Class 5 | Modeling of diffusion phenomena with the parabolic PDE | Learn the modeling of diffusion phenomena |
| Class 6 | Analytical solution of the parabolic PDE | Learn the method of analytical solution of the parabolic PDE |
| Class 7 | Modeling of a steady state with the elliptic PDE and its analytical solution | Learn physical modeling of an elliptic PDE |
| Class 8 | Numerical solution of PDE | Learn how to solve PDE using numerical methods |
| Class 9 | Theory of numerical solution of PDE - Parabolic equations & elliptic equations equations | Learn the numerical solution of parabolic PDE based on Finite Difference Method |
| Class 10 | Practice of numerical solution of PDE - Parabolic equations & elliptic equations | Implement a program to solve the parabolic and elliptic PDE |
| Class 11 | Theory of numerical solution of PDE - Combined parabolic and hyperbolic equations | Learn the numerical solution of a combined parabolic and hyperbolic PDE based on Finite Difference Method |
| Class 12 | Practice of numerical solution of PDE - Combined parabolic and hyperbolic equations | Implement a program to solve the combined parabolic and hyperbolic PDE |
| Class 13 | Theory of numerical solution of PDE - Hyperbolic equations | Learn the numerical solution of hyperbolic PDE using multiple approaches |
| Class 14 | Practice of numerical solution of PDE - Hyperbolic equations | Implement a program to solve the hyperbolic PDE |
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)
Advanced engineering mathematics, Erwin Kreiszig, John Wiley & Sons.
「キーポイント 偏微分方程式」
https://www.iwanami.co.jp/book/b260895.html
Ordinary Differential Equations and Physical Phenomena: A Short Introduction with Python (Kanda M. trans. Varquez, ACG), Asakura Publishing
available at University Coop, and online bookstores like Amazon, Rakuten, and publisher's website.
Reference books, course materials, etc.
Advanced engineering mathematics, Erwin Kreiszig, John Wiley & Sons. (English)
登坂宣好、大西和栄、偏微分方程式の数値シミュレーション、東京大学出版会 (Japanese)
越塚誠一、数値流体力学、培風館 (Japanese)
https://docs.python.org/3/ for python.
Evaluation methods and criteria
Students' knowledge of "description of physical phenomena with PDE", "analytical solution of PDE", "numerical solution of PDE", and their ability to apply them to problems will be assessed. The first half part of class 1-7 is evaluated through a midterm exam and exercise problems, the later part of class 9-15 is assessed by an end-of-term report.
Related courses
- TSE.M201 ： Ordinary Differential Equations and Physical Phenomena
- TSE.M203 ： Theory of Linear System
Prerequisites
Students must have successfully completed "Ordinary Differential Equations and Physical Phenomena" or have equivalent knowledge.