Numerical Methods for Engineers
Master essential numerical methods and MATLAB programming to effectively solve complex engineering problems, enhancing your analytical
Master essential numerical methods and MATLAB programming to effectively solve complex engineering problems, enhancing your analytical
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Mathematics for Engineers Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.9
(326 ratings)
23,238 already enrolled
Instructors:
English
বাংলা, اردو, Azərbaycanca, 1 more
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What you'll learn
Implement numerical methods using MATLAB programming
Solve complex engineering problems using computational techniques
Master root-finding and matrix algebra algorithms
Develop solutions for differential equations
Apply numerical integration and interpolation methods
Skills you'll gain
This course includes:
11.7 Hours PreRecorded video
14 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive course covers essential numerical methods for engineering applications, including root finding, matrix algebra, integration, and differential equations. Students learn to implement these methods using MATLAB, with hands-on programming projects throughout. The course emphasizes practical problem-solving techniques and includes advanced topics like partial differential equations and numerical stability analysis.
Scientific Computing
Module 1 · 9 Hours to complete
Root Finding
Module 2 · 5 Hours to complete
Matrix Algebra
Module 3 · 5 Hours to complete
Quadrature and Interpolation
Module 4 · 7 Hours to complete
Ordinary Differential Equations
Module 5 · 6 Hours to complete
Partial Differential Equations
Module 6 · 8 Hours to complete
Fee Structure
Instructor
Expert in Mathematics at HKUST
Jeffrey R. Chasnov is a Professor of Mathematics at The Hong Kong University of Science and Technology, where he has been teaching since 1993. An expatriate American originally from New York and California, he earned his BA from UC Berkeley and his PhD from Columbia University. Dr. Chasnov has completed post-doctoral fellowships at NASA, Stanford, and in Grenoble, France, along with a sabbatical semester at Harvey Mudd College.
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4.9 course rating
326 ratings
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