An introduction to the fundamentals of Computational Fluid Dynamics (CFD) that are used to solve complex fluid dynamics problems (weather prediction, aircraft flight, turbomachinery) by researchers, scientists and engineers around the world. The course starts from first principles and you will rapidly develop your first CFD solution using the Excel sheets and Python source code provided. By the end of the course, you will understand the importance of upwind differencing, Peclet number and mesh resolution. No prior experience is required and no specific CFD code/coding experience is required! You do not need ANSYS Fluent, OpenFOAM, Star CCM or any other CFD to use this course.
Disclosure: when you buy through links on our site, we may earn an affiliate commission.
Computational Fluid Dynamics Fundamentals Course
Fundamentals and First Principles
Top Computational Fluid Dynamics courses:
CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.
Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.
New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.
The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.
Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.
This course contains:
Table of contents
You will learn
✓ How to set up and solve your first CFD solution from first principles (using Excel, Python or MATLAB)
✓ The importance of central differencing, upwind differencing and Peclet number
✓ A common framework to solve any scalar transport equation in CFD
• Basic differential equations
• Basic linear algebra (matrices)
• Microsoft Excel, Python or MATLAB
This course is for
• Undergraduate Engineers, Physicists and Scientists
• Masters and PhD level Students