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R.sirgalina (talk | contribs) (Replaced content with " = Analytical Geometry \& Linear Algebra -- II = * Course name: Analytical Geometry \& Linear Algebra -- II * Course number: XYZ == Course Characteristics == === Key con...") Tags: Manual revert Replaced |
R.sirgalina (talk | contribs) Tag: Manual revert |
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=== What is the purpose of this course? === |
=== What is the purpose of this course? === |
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+ | === Course objectives based on Bloom’s taxonomy === |
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+ | |||
+ | ==== - What should a student remember at the end of the course? ==== |
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+ | By the end of the course, the students should be able to |
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+ | * List basic notions of linear algebra |
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+ | \item Understand key principles involved in solution of linear equation systems and the properties of matrices |
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+ | \item Linear regression analysis |
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+ | \item Fast Fourier Transform |
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+ | \item How to find eigenvalues and eigenvectors for matrix diagonalization and single value decomposition |
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+ | |||
+ | ==== - What should a student be able to understand at the end of the course? ==== |
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+ | By the end of the course, the students should be able to |
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+ | * Key principles involved in solution of linear equation systems and the properties of matrices |
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+ | \item Become familiar with the four fundamental subspaces |
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+ | \item Linear regression analysis |
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+ | \item Fast Fourier Transform |
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+ | \item How to find eigenvalues and eigenvectors for matrix diagonalization and single value decomposition |
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+ | |||
+ | ==== - What should a student be able to apply at the end of the course? ==== |
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+ | By the end of the course, the students should be able to |
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+ | * Linear equation system solving by using the vector-matrix approach |
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+ | \item Make linear regression analysis |
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+ | \item Fast Fourier Transform |
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+ | \item To find eigenvalues and eigenvectors for matrix diagonalization and single value decomposition |
Revision as of 13:07, 6 December 2021
Analytical Geometry \& Linear Algebra -- II
- Course name: Analytical Geometry \& Linear Algebra -- II
- Course number: XYZ
Course Characteristics
Key concepts of the class
- fundamental principles of linear algebra,
\item concepts of linear algebra objects and their representation in vector-matrix form
\end{itemize}
What is the purpose of this course?
Course objectives based on Bloom’s taxonomy
- What should a student remember at the end of the course?
By the end of the course, the students should be able to
- List basic notions of linear algebra
\item Understand key principles involved in solution of linear equation systems and the properties of matrices \item Linear regression analysis \item Fast Fourier Transform \item How to find eigenvalues and eigenvectors for matrix diagonalization and single value decomposition
- What should a student be able to understand at the end of the course?
By the end of the course, the students should be able to
- Key principles involved in solution of linear equation systems and the properties of matrices
\item Become familiar with the four fundamental subspaces \item Linear regression analysis \item Fast Fourier Transform \item How to find eigenvalues and eigenvectors for matrix diagonalization and single value decomposition
- What should a student be able to apply at the end of the course?
By the end of the course, the students should be able to
- Linear equation system solving by using the vector-matrix approach
\item Make linear regression analysis \item Fast Fourier Transform \item To find eigenvalues and eigenvectors for matrix diagonalization and single value decomposition