|
| |
Upon successful completion of the course, the student should be able to:
- Define a linear equation in n unknowns.
- Explain an (mxn) systems of Linear Equations.
- Understand and use Gaussian Elimination to solve systems of Linear Equations.
- Know the matrices and represent a Linear system in Matrix form.
- Perform Row or Column operations, Addition, Subtraction, and Multiplication on Matrices.
- Represent vectors in Rn.
- Know the properties of Matrix operations.
- Find the Transpose of a Matrix.
- Define Linear Independence and non singular matrices.
- Perform Numerical Integration and Differenciation.
- Define Identity Matrix.
- Calculate inverse of a Matrix.
- Know vector space properties of Rn and perform arithmetic operations on them.
- Define subspaces of Rn.
- Verify that subsets are subspaces.
- Define the Null space of a Matrix.
- Describe the Range of a Matrix.
- Obtain Bases for subspaces.
- Translate the Geometric concept of Dimension into Algebraic terms.
- Calculate orthogonal and orthonormal Bases.
- Determine p-dimensional coordinates of a subspace Rn.
- Perform Linear Transformation from Rn to Rm.
- Solve the least squares problem in Rn.
- Find Best Approximation.
- Find the projection Matrix.
- Find Eigenvalues and Eigenvectors for Matrices.
- Define Determinants.
- Use cofactors to find Minors of an (nxn) Matrix.
- Use elementary operations to simplify Determinants.
- Solve problems involving complex Eigenvalues and Eigenvectors.
- Diagonalize a Matrix.
- Define and solve Difference Equations.
- Define and solve systems of Differential Equations.
- Define and solve problems involving Linear Transformations.
- Solving systems of Equations using Cramer's Rule.
- Use Determinants to solve problems involving Wronskians.
- Find Eigenvalues of Hessenberg Matrices.
Optional: Use available Numerical computer softwares to perform Numerical Methods for Linear Algebra.
Optional
 | Coming Soon
|
 | Coming Soon
|
 | Coming Soon
|
 | Coming soon
|
 | Coming soon
|
|