Linear Algebra

Language of Instruction: Arabic A linear algebra course typically covers the study of vector spaces, linear transformations, and systems of linear equations. Key topics include: Vectors and Matrices: Understanding vector operations, matrix operations, and the concept of matrix rank. Systems of Linear Equations: Techniques for solving equations using methods like Gaussian elimination and matrix inverses. Determinants: Calculation and properties of determinants and their significance in linear systems. Eigenvalues and Eigenvectors: Introduction to these concepts and their applications in various fields, including stability analysis and transformations. Vector Spaces: Exploration of subspaces, bases, and dimensions. Applications: Practical applications in fields like engineering, computer science, and data analysis, often involving real-world problem-solving. The course usually combines theoretical foundations with computational skills, preparing students for advanced studies and various applications in science and engineering.