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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MAT 229LINEAR ALGEBRA3 + 03rd Semester7

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective Teaching the fundamental mathematical concepts like vectors, vector spaces, matrices and linear transformations to students
Course Content Matrices, Determinants, linear system equations, Vector spaces, Basis- dimension, row and column spaces, Eigenvalue, Eigenvector, Diagonalization.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Learning matrices, matrix calculatios and determinant.
2Learning elementary row-column operations and row- column spaces.
3 Learning systems of linear equations.
4Learning the concepts of vector space, inear dependent, basis-dimension.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13
LO 0013434232123234
LO 0022434244435234
LO 0033243234242423
LO 0041223233322332
Sub Total912121481313101112111113
Contribution2334233333333

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14570
Mid-terms13030
Final examination14040
Total Work Load

ECTS Credit of the Course






182

7
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Fall1CANAN CELEP YÜCEL


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
MAT 229 LINEAR ALGEBRA 3 + 0 1 Turkish 2023-2024 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. CANAN CELEP YÜCEL ccyucel@pau.edu.tr MUH A0012 %70
Goals Teaching the fundamental mathematical concepts like vectors, vector spaces, matrices and linear transformations to students
Content Matrices, Determinants, linear system equations, Vector spaces, Basis- dimension, row and column spaces, Eigenvalue, Eigenvector, Diagonalization.
Topics
WeeksTopics
1 Definition of Matrix, Matrix Operations
2 Special Types of Matrices
3 Elementary operations and Elementary Matrices
4 Finding inverse of a matrix using elementary row operations
5 Linear Equation and Systems of Linear Equations
6 Determinants and Cramer's Rule
7 Vectors Spaces and Subspaces
8 Linear combination of vectors
9 Linear Dependence, Linear Independence, Basis and Dimensions
10 Row and Column Spaces of Matrices
11 Solution Space of Homogeneous System of Linear Equations
12 Eigenvalues and Eigenvectors
13 Diagonalization
14 Exponential Matrices
Materials
Materials are not specified.
Resources
ResourcesResources Language
Dursun Taşcı Lineer CebirTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes