Numerical Methods for Engineers
This course covers the most important numerical methods that an engineer should know, including root finding, matrix algebra, integration and interpolation,...
By The Hong Kong University of Science and Technology on Coursera
About This Course
This course covers the most important numerical methods that an engineer should know, including root finding, matrix algebra, integration and interpolation, ordinary and partial differential equations. We learn how to use MATLAB to solve numerical problems, and 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. They should have a working knowledge of 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 from the link https://www.math.hkust.edu.hk/~machas/numerical-methods-for-engineers.pdf And watch the promotional video from the link https://youtu.be/qFJGMBDfFMY
Frequently Asked Questions
How much does Numerical Methods for Engineers cost?
Numerical Methods for Engineers costs $49. Check the course page for current pricing and available discounts.
Who teaches Numerical Methods for Engineers?
Numerical Methods for Engineers is taught by The Hong Kong University of Science and Technology, The Hong Kong University of Science and Technology.
What skill level is Numerical Methods for Engineers for?
This course is designed for beginner learners.
Similar Courses
HTML & CSS Coding for Beginners: Build your own portfolio!
Chris Dixon
Maya for Beginners: Animation
Lucas Ridley
JavaScript for Beginners (includes 6+ real life projects)
Kalob Taulien
Beginner Bootstrap 4: Hand code beautiful responsive websites fast
Chris Dixon