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Learner Reviews & Feedback for Numerical Methods for Engineers by The Hong Kong University of Science and Technology

About the Course

Numerical Methods for Engineers covers the most important numerical methods that an engineer should know. We derive basic algorithms in root finding, matrix algebra, integration and interpolation, ordinary and partial differential equations. We learn how to use MATLAB to solve numerical problems. Access to MATLAB online and the MATLAB grader is given to all students who enroll. We assume students are already familiar with the basics of matrix algebra, differential equations, and vector calculus. Students should have already studied a programming language, and be willing to learn MATLAB. The course contains 74 short lecture videos and MATLAB demonstrations. After each lecture or demonstration, there are problems to solve or programs to write. The course is organized into six weeks, and at the end of each week there is an assessed quiz and a longer programming project. Download the lecture notes: Watch the promotional video:

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1 - 4 of 4 Reviews for Numerical Methods for Engineers

By Kevin Y

Feb 19, 2021

This is a wonderful course to learn something about numerical methods! The lectures and notes are wonderful and provide enough information to help you with the quizzes and programs. My first roadblock occurred in week 5. Week 6 was an incredible challenge for me. Thankfully, you can download the videos and watch them till some small illumination occurs to help you "see" a solution approach. This was critical in week 6 (reviewing 2D Laplace and Crank-Nicolson). I cannot recommend strongly enough if you want to learn more about Matlab and these methods from an exceptional instructor!

By Ron A

Feb 21, 2021

Excellent course. It starts with basic numerical methods and gets you to a point where you can solve the simplest version of the two-dimensional heat equation using finite differences. Along the way, you develop skills in MATLAB, learn the fundamentals of numerical computing, and obtain a solid foundation for doing more advanced work in numerical methods. Highly recommended.


Feb 24, 2021

Excellent course from an excellent professor. The course combines the necessary theory lectures with the corresponding applications. Recommended !!!

By Peter d B

Feb 20, 2021

Programming knowledge required. This should be announced at the very beginning.