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Linear Algebra & Applications

  • Non-Award

Linear Algebra & Applications provides a comprehensive understanding of linear algebra concepts, including matrix algebra, vector spaces, and eigenvalues, with applications in various disciplines. Students will develop problem-solving skills and apply theoretical knowledge to real-life scenarios.

Key details

Degree Type
Non-Award
Course Code
FEL1344
Study Mode
In person
Intake Months
Sep

About this course

Overview

Linear algebra plays a comparably profound role in both theoretical and applied mathematics, as well as in statistics, economics and finance and many other disciplines. A proper grounding in linear algebra is an important prerequisite for the understanding of higher level of mathematics and actuarial courses. The topics include matrix algebra, row-echelon form, systems of linear equations, inverse, determinants, Cramer's rule, matrix for linear transformation, vector spaces, basis and dimension, rank and nullity, inner product space, orthogonal and orthonormal bases, characteristic polynomial, eigenvalues, eigenvectors, diagonalization, Cayley-Hamilton theorem, applications.

On completing the course, students will be able to:

  1. Explain the concepts and properties of matrices and determinants
  2. Solve problems related to geometrical and vector spaces in linear algebra
  3. Conceptualize various concepts in linear algebra in solving real-life problems

What you will learn

Overview

Linear algebra plays a comparably profound role in both theoretical and applied mathematics, as well as in statistics, economics and finance and many other disciplines. A proper grounding in linear algebra is an important prerequisite for the understanding of higher level of mathematics and actuarial courses. The topics include matrix algebra, row-echelon form, systems of linear equations, inverse, determinants, Cramer's rule, matrix for linear transformation, vector spaces, basis and dimension, rank and nullity, inner product space, orthogonal and orthonormal bases, characteristic polynomial, eigenvalues, eigenvectors, diagonalization, Cayley-Hamilton theorem, applications.

On completing the course, students will be able to:

  1. Explain the concepts and properties of matrices and determinants
  2. Solve problems related to geometrical and vector spaces in linear algebra
  3. Conceptualize various concepts in linear algebra in solving real-life problems

Course structure

Elective Details

Course Code: FEL1344 Offering Semester:September Credit Hours:4 Delivery:Face-to-Face (F2F) delivery on site Assessment Weightage:Continuous Assessment - 50%; Final Exam - 50% Course Lecturer:Dr Syed Mohamad Sadiq Syed MusaContact Email:syedmohdsadiq@sunway.edu.my