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) Assist. Prof. Dr. NECİP GÖKHAN KASAPOĞLU|Prof. Dr. ÇİĞDEM GENCER BALBİANİ
Course Assistant

Purpose and Content

The aim of the course This course 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 provides a source for undergraduate students and covers a general introduction to linear algebra which will be of help to all who are interested.
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

1Matrices, matrix algebra, special types of matrices, elementary row and colon operations
2Echelon form, rank of a matrix, elementary matrices, inverses, equivalent matrices
3Determinants, properties of determinants, cofactor and adjoint of a matrix
4Systems of linear equations, solutions of systems of linear equations
5Cramer's method, Gauss’s elimination method
6Vector spaces, subspaces, linear independence. Bases and dimension, coordinates, change of basis
7Inner product spaces, standard inner product function, orthogonal subspaces.
8Orthogonal matrices, orthonormal basis
9Gram-Schmidt orthogonalization methods , orthogonal subspaces, orthogonal complement of a subspace.Midterm Exam.
10Linear transformations, rank and kernel of linear transformations
11Matrix representations of linear transformations
12Eigen values, eigen vectors, diagonalization
13Cayley-Hamilton’s Theorem, quadratic forms, Hermitian forms
14Numerical applications

Resources

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