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Study Engineering: Engineering Mathematics 214
notebookLM - KNS
5 episodes
1 day ago
Study Engineering: Engineering Mathematics 214 is your study companion for tackling the core math topics in engineering. From Laplace transforms and vectors to differential equations and linear algebra, each episode breaks down complex concepts into clear, practical explanations. Created by a mechanical engineering student using NotebookLM and AI, this podcast blends smart tools with real lecture notes and textbook content to deliver focused, reliable, and student-friendly episodes. Perfect for revision, deep dives, or catching up on the go.
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Education
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Study Engineering: Engineering Mathematics 214 is your study companion for tackling the core math topics in engineering. From Laplace transforms and vectors to differential equations and linear algebra, each episode breaks down complex concepts into clear, practical explanations. Created by a mechanical engineering student using NotebookLM and AI, this podcast blends smart tools with real lecture notes and textbook content to deliver focused, reliable, and student-friendly episodes. Perfect for revision, deep dives, or catching up on the go.
Show more...
Education
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The Eigenvalue Problem (week 8)
Study Engineering: Engineering Mathematics 214
14 minutes 26 seconds
6 months ago
The Eigenvalue Problem (week 8)

Learn the fundamentals of the eigenvalue problem, including how to find eigenvalues and eigenvectors, their geometric interpretation, and their role in solving systems of linear equations and differential equations. This episode provides step-by-step examples and highlights key applications in engineering analysis, control systems, and vibrations.


Study Engineering: Engineering Mathematics 214
Study Engineering: Engineering Mathematics 214 is your study companion for tackling the core math topics in engineering. From Laplace transforms and vectors to differential equations and linear algebra, each episode breaks down complex concepts into clear, practical explanations. Created by a mechanical engineering student using NotebookLM and AI, this podcast blends smart tools with real lecture notes and textbook content to deliver focused, reliable, and student-friendly episodes. Perfect for revision, deep dives, or catching up on the go.