Information Package / Course Catalogue
Linear Algebra
Course Code: MAT257
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 4
Prt.: 0
Credit: 4
Lab: 0
ECTS: 6
Objectives of the Course

The aim of this lecture is to introduce linear algebra and its applications to students of engineering faculty. The students, who complete the lecture successfully, can solve systems of linear equations by applying Gaussian elimination method, calculate determinants of matrices and apply them various problems of linear systems and vector calculus. Moreover, they can decide whether a given set is a vector space under an operation defined on the elements of the set and can find the dimension of a vector space. In addition, to these, they are able to find matrix representation of linear transformations, to calculate eigenvalues and eigenvectors of matrices and they can use them to diagonalize matrices. They are also capable of defining inner product and learn use it some fundamental calculations in vector spaces.

Course Content

System of linear equations, Elementary row operations, Matrix algebra, Determinants, Vector spaces, Linear transformations, Eigenvalues, eigenvectors, Inner product spaces and its applications.

Name of Lecturer(s)
Lec. Erdal ÖZYURT
Learning Outcomes
1.They can do matrix transactions(summation, multiplication, finding inverse etc.)They solve the systems using by matrices
2.They can prove some propositions and solve linear equations
3.They can solve about some problems in linear transformations
4.They can write in matrix form given linear transformations
5.They can introduce the concepts of eigenvalue and eigenvector
6.Creating orthonormal base with inner product
Recommended or Required Reading
1.Linear Algebra, Cemal Koç, ODTÜ yayınları
2.Lineer Cebir Dersleri Problemler ve Çözümleri, G. Güngöroğlu, A. Harmancı, Ankara 2000, ISBN: 975-93985-1-6
3.Linear Algebra 2nd. Ed., H. Kunze- K. Hoffman, Pearson, 1971
Weekly Detailed Course Contents
Week 1 - Theoretical
System of linear equations
Week 2 - Theoretical
Matrices and elementary row operations
Week 3 - Theoretical
Matrix algebra, The inverse of square matrix
Week 4 - Theoretical
Elementary matrices, LU-factorization
Week 5 - Theoretical
Determinant, Cramer method
Week 6 - Theoretical
Definition of vector space, Subspaces, Linear combinations, Linear independence
Week 7 - Theoretical
Basis and dimension, Coordinates and change of basis
Week 8 - Theoretical
Linear transformations, The null space and range, Isomorphism
Week 9 - Theoretical
Matrix representation of linear transformations
Week 10 - Theoretical
Eigenvalues, eigenvectors, eigenspaces, Diagonalization
Week 11 - Theoretical
Dot products, Inner product spaces
Week 12 - Theoretical
Orthonormal bases, orthonormal complements
Week 13 - Theoretical
Applications: Least square approximations
Week 14 - Theoretical
Diagonalization of symmetric matrix, Quadratic forms, Singular value decompositions
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory1444112
Midterm Examination113215
Final Examination121223
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
5
4
5
4
5
4
5
4
5
4
5
OÇ-2
4
5
4
5
4
5
4
5
4
5
4
OÇ-3
5
5
4
5
4
5
4
4
5
4
5
OÇ-4
4
5
4
5
4
5
5
4
5
4
5
OÇ-5
4
4
5
4
5
4
5
5
5
4
5
OÇ-6
Adnan Menderes University - Information Package / Course Catalogue
2026