Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
2EEE 186APPLIED LINEAR ALGEBRA3+0+03514.09.2021

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program ELECTRICAL-ELECTRONICS E.
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course This course aims to introduce to students the basic concepts of linear algebra. The course also enriches students’ exposure to mathematical rigor and prepares them for studying more advanced mathematical courses.
Course Content Linear Equations and Matrices. Solving Linear Systems. Determinants. Real Vector Spaces. Inner Product Spaces. Linear Transformations and Matrices. Eigenvalues and Eigenvectors.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator Asist Prof. Serkan ÖZBAY
Name of Lecturers Prof.Dr. Gölge Öğücü YETKİN
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Lecture Notes
Course Notes Elementary Linear Algebra with Applications
Bernard Kolman, David R. Hill
Ninth Edition, Pearson Education

Course Category
Mathematics and Basic Sciences %60
Engineering %20
Engineering Design %20
Social Sciences %0
Education %0
Science %0
Health %0
Field %0

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
Mid-terms 2 % 60
Final examination 1 % 40
Total
3
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 3 42
Mid-terms 2 20 40
Final examination 1 30 30
Total Work Load   Number of ECTS Credits 5 154

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Solve systems of linear equations using multiple methods, including Gaussian elimination and matrix inversion.
2 Carry out matrix operations, including inverses and determinants.
3 Demonstrate understanding of the concepts of vector space and subspace
4 Demonstrate understanding of linear independence, span, and basis
5 Determine eigenvalues and eigenvectors and solve eigenvalue problems
6 Apply principles of matrix algebra to linear transformations
7 Demonstrate understanding of inner products and associated norms

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Linear equations and matrices Reading related lecture notes
2 Linear equations and matrices Reading related lecture notes
3 Solving linear systems Reading related lecture notes
4 Solving linear systems Reading related lecture notes
5 Determinants Reading related lecture notes
6 Determinants Reading related lecture notes
7 Real vector spaces Reading related lecture notes
8 Real vector spaces Reading related lecture notes
9 Inner product spaces Reading related lecture notes
10 Inner product spaces Reading related lecture notes
11 Linear transformations and matrices Reading related lecture notes
12 Linear transformations and matrices Reading related lecture notes
13 Eigenvalues and eigenvectors Reading related lecture notes
14 Eigenvalues and eigenvectors Reading related lecture notes

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
All 5 1 2 1 1 1 1 1 1 1
C1 5 1 2 1 1 1 1 1 1 1
C2 5 1 2 1 1 1 1 1 1 1
C3 5 1 2 1 1 1 1 1 1 1
C4 5 1 2 1 1 1 1 1 1 1
C5 5 1 2 1 1 1 1 1 1 1
C6 5 1 2 1 1 1 1 1 1 1
C7 5 1 2 1 1 1 1 1 1 1

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  https://obs.gantep.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=337746&lang=en