Matrix Algebra for Engineers
This course is part of Mathematics for Engineers.
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.
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English
বাংলা, اردو, Tiếng Việt, 2 more
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What you'll learn
Master fundamental matrix operations and calculations
Solve systems of linear equations using various methods
Understand vector spaces, bases, and linear independence
Compute eigenvalues and eigenvectors
Apply matrix algebra to engineering problems
Skills you'll gain
This course includes:
6.8 Hours PreRecorded video
21 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course covers the fundamentals of matrix algebra essential for engineering applications. Starting with basic matrix operations, it progresses through systems of linear equations, vector spaces, and eigenvalues. The course emphasizes practical problem-solving and includes numerous examples relevant to engineering applications. Content is presented at an advanced high school mathematics level, making it accessible while maintaining mathematical rigor.
MATRICES
Module 1 · 5 Hours to complete
SYSTEMS OF LINEAR EQUATIONS
Module 2 · 3 Hours to complete
VECTOR SPACES
Module 3 · 5 Hours to complete
EIGENVALUES AND EIGENVECTORS
Module 4 · 5 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Mathematics for Engineers
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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