Background Pattern

Matrices and Vector Spaces

Course Code

MA2021

Number of Credits

3

Semester

Course Type

NoCodeCourseRelation
1MA1201Mathematics IIAEquivalent
2MA2021Matrices and Vector SpacesEquivalent
3MA2021Matrices and Vector SpacesEquivalent
4MA2021Matrices and Vector SpacesEquivalent

Study Material

Study MaterialDepth
Vectors and MatricesExpress
System of Linear EquationsExpert
Vector Spaces, Subspaces and BasesExpert
Linear Transformation and Base Alteration MatrixExpert
Eigenvalues, Eigen Vectors and Matrix DiagonalisationExpert
Cortogonality and Gram-Schmidt ProcessesExpert
Least Squares ApproximationExpert

Graduate Learning Outcomes (GLO) carried by the course

CPMK CodeCourse Learning Outcomes Elements (CLO)
CPMK 1Gain a solid understanding of basic concepts in linear algebra, including systems of linear equations, matrices, and vector spaces, and be able to identify basic properties and techniques associated with them that can be used to understand mathematical models related to their fields.
CPMK 2Have the ability to identify problems presented in the concepts of systems of linear equations, matrices, and vector spaces in their respective fields of expertise.
CPMK 3Have the ability to apply linear algebra concepts in solving various proablems related to matrices and vector spaces, including mastery of SPL problem solving techniques, calculation of matrix determinants, and understanding of geometric interpretation of objects in linear algebra.
CPMK 4Have skills in conveying ideas and concepts related to linear algebra, both in written and oral forms, along with improving the ability to present thoughts systematically and easily understood.

Learning Method

  • 1. Problem-based learning 2. Interactive discussion

Learning Modality

  • 1. Offline classes 2. Asynchronous learning

Assessment Methods

  • 1. Written exam. 2. Structured projects and/or assignments.