Lesson plan / LINEAR ALGEBRA

Lesson Information

Course Credit 3.0
Course ECTS Credit 5.0
Teaching Language of Instruction Türkçe
Level of Course Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course Compulsory
Mode of Delivery Face-to-face
Does the course require compulsory or optional work experience? Z
Course Coordinator
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course This module aims to provide an accessible review of the linear algebra from the text book to long after the class. Linear algebra is an essential part of the mathematical background required of mathematicians, engineers, physicists and other scientists. It presents a source for undergraduate students. In general it covers an introduction to linear algebra which will be found helpful to all readers.
Course Content Matrices, matrix algebra, special types of matrices, elementary row and colon operations, echelon form, rank of a matrix, elementary matrices, inverses, equivalent matrices, determinants, properties of determinants, cofactor and adjoint of a matrix, derivation of inverse matrix, systems of linear equations, solutions of systems of linear equations, Cramer's method, Gauss’s elimination method, vector spaces, subspaces, linear independence, bases and dimension, coordinates, change of basis, inner product spaces, standard inner product, orthogonal subspaces, orthogonal complement of a subspace, inner product, inner product spaces, orthogonal basis, orthogonal matrices, Gram-Schmidt orthogonalization methods, linear transformations, matrix representations of linear transformations, eigen values, eigen vectors, diagonalization, Cayley-Hamilton’s Theorem, quadratic forms, Hermitian forms, numerical applications.

Weekly Course Subjects

1The Geometry of Linear Equations, Matrix Notation and Matrix Algebra
2Triangular Factors and Row Exchanges, Inverses, Transposes, Special Matrices and Applications
3Vector spaces and subspaces
4solving Ax=0 and Ax=b
5Linear Independence, Basis and Dimensions
6The Four Fundamental Subspaces; Column Space, Row Space, Null Space, Left Null Space
7Graphs and Networks
8Linear Transformation
9Midterm
10Orthogonal Vectors and Subspaces, Cosines and Projections
11Orthogonal Bases and Gram-Schmidt, The Fast Fourier Transform
12Introduction to Determinants, Properties of Determinants, Formulas for Determinants
13Eigenvalues and Eigenvectors
14Positive Definite Matrices

Resources

1.Hacısalihoğlu, H. H., Lineer Cebir I, Bilim Yayınları, Ankara, 2000.
2.S. J. Leon, "Linear Algebra with Applications", Prentice Hall, 2002, Sixth Edition.
3. S. Lipschutz, Theory and Problems of Linear Algebra , Schaum’s Outline of McGraw-Hill Book Co.,1987,Singapore.