Course Details

Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
1MATH165LINEAR ALGEBRA FOR ELECTRICAL-ELECTRONICS ENGINEERING4+0+04515.05.2026

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program ELECTRICAL-ELECTRONICS ENGINEERING
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course Developing a theoretical background on vectors and matrix algebra.
Providing fundamental solution methods for systems of linear equations.
Providing the necessary programming knowledge for applying matrix algebra on MATLAB.
Course Content Introduction to Vectors and Matrices
Solving Linear Equations
Introduction to Vector Spaces
Independence, Basis and Dimension
Orthogonality and Least Squares Approximation
Orthogonal Bases and Gram-Schmidt
Eigenvalues and Eigenvectors
Singular Value Decomposition
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator Research Assist.Dr. Mahmut Büyükbaş
Name of Lecturers Research Assist.Dr. MAHMUT BÜYÜKBAŞ
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Linear Algebra and Its Applications, Global Edition, David Lay, Steven Lay, Judi McDonald
Documents https://math.mit.edu/~gs/linearalgebra/ila5/indexila5.html

Course Category
Mathematics and Basic Sciences %70
Engineering %20
Engineering Design %10

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Yarıl yılSonu Sınavı/Dönem Projesinin Başarı Notuna Katkısı 1 % 20
Quiz/Küçük Sınav 6 % 40
Proje/Çizim 1 % 15
Final examination 1 % 25
Total
9
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Araştırma Ödevi 3 2 6
Kritik 3 1 3
Yazılı Sınav 6 1 6
Grup Projesi 3 3 9
Sınıf İçi Aktivitesi 4 1 4
Teslim İçin Hazırlık 3 1 3
Soru Çözümü 7 1 7
Proje 3 4 12
Tekrar Anlatım 3 1 3
Araştırma 4 1 4
Kişisel Çalışma 14 1 14
Simülasyon 1 3 3
Ders dışı çalışma 7 1 7
Takım/Grup Çalışması 3 1 3
Yüz Yüze Ders 14 4 56
Der Dışı Final Sınavı 1 3 3
Total Work Load   Number of ECTS Credits 5 143

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Demonstrate essential understanding of vector spaces and matrix algebra.
2 Formulate given real-world problems as systems of linear equations and apply matrix algebra in reaching a solution.
3 Design and implement matrix algebra in MATLAB through embedded functions and custom scripts.

 
Weekly Detailed Course Contents
Veri yok

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
C1 5 1 1 1
C2 5 5 5 4 5 2 2 5 5 1
C3 1 5 2 2 3 1 1 1 5 5

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

  
  https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=78982&lang=en