Course Objectives
Rubric
| Ideal Level of Achievement (Very Good) | Standard Level of Achievement (Good) | Unacceptable Level of Achievement (Fail) |
| Advection Equation | Explanation for phenomena and difficulty of advection equation is explained. | Understanding of advection equation. | Lack of understanding of advection equation. |
| Numerical Simulation for Advection Equation | Explaining of numerical diffusion and oscillation of advection equation and improved by CIP method. | Showing the numerical diffusion and oscillation. | Lack of understanding of simulation for advection equation. |
| Application | Computational Fluid Dynamics (CFD) and Electro Magnetic Simulation (EMS) based on CIP method. | Some physics simulation based on CIP method. | Lack of understanding of numerical simulation. |
Assigned Department Objectives
ディプロマポリシー B-3
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JABEE B3
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Teaching Method
Outline:
To understand algorithms for derivative equations, differential equations, matrices. The programming techniques in C language and numerical simulation including a high speed calculation are studied.
Style:
Coding for numerical simulation is main task in each classes.
The recognition of credit requires 60 points or more rating.
If the final score is 60% or less, students can take ex-examination. The students whose score is more than 60% in ex-examination is 60%.
Notice:
Final examination (70%), Coding reports (30%)
Characteristics of Class / Division in Learning
Course Plan
|
|
|
Theme |
Goals |
| 2nd Semester |
| 3rd Quarter |
| 1st |
Guidance. Advection Equation. |
Introduction for Advection Equation.
|
| 2nd |
Descritization for Advection Equation |
1st order method (Upwind scheme)
|
| 3rd |
Descritization for Advection Equation |
2nd order method (Lax-Wendroff method)
|
| 4th |
Descritization for Advection Equation |
CIP method
|
| 5th |
Descritization for Advection Equation |
Programming for CIP method
|
| 6th |
Higher accuracy |
Higher accuracy scheme for CIP method
|
| 7th |
Higher accuracy |
Programming of Higher accuracy scheme for CIP method.
|
| 8th |
Multi Dimension |
Two dimensional CIP method
|
| 4th Quarter |
| 9th |
Multi Dimension |
Programming for two dimensional CIP method
|
| 10th |
Application for physics |
Electro Magnetic Simulation (EMS)
|
| 11th |
Application for physics |
Computational Fluid Dynamics (CFD)
|
| 12th |
Application for physics |
Programming for CFD
|
| 13th |
High Performance Computing (HPC) |
HPC for numerical simulation
|
| 14th |
High Performance Computing (HPC) |
GPGPU calculation
|
| 15th |
Final Examination |
Final Examination
|
| 16th |
Checking the Final Evaluation |
Checking the Final Evaluation
|
Evaluation Method and Weight (%)
| Examination | Presentation | Mutual Evaluations between students | Behavior | Portfolio | Other | Total |
| Subtotal | 100 | 100 | 0 | 0 | 0 | 0 | 200 |
| Basic Ability | 40 | 40 | 0 | 0 | 0 | 0 | 80 |
| Technical Ability | 60 | 60 | 0 | 0 | 0 | 0 | 120 |
| Interdisciplinary Ability | 0 | 0 | 0 | 0 | 0 | 0 | 0 |