PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
MAT 132	LINEAR ALGEBRA	3 + 0	4th Semester	3

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	At first, acquainting the students with fundamental mathematical concepts like vectors, vector spaces, matrices and linear transformations. Then, teaching them the methods of solving the general linear system equations together with its applications.
Course Content	Vectors / Matrices and the solution of linear system equations / Vector spaces and subspaces / Orthogonality and orthogonalization / Determinants / Eigenvalues and eigenvectors / Computations with matrices / Singular Value Decomposition (SVD) and its applications.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	He/She knows the vector and matrix concepts.
2	He/She can establish the mathematical models of a linear system by vectors and matrices.
3	He/She can solve systems defined by linear equations and can interpret the results obtained.

COURSE'S CONTRIBUTION TO PROGRAM

Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	1	14
Mid-terms	1	9	9
Final examination	1	13	13
Total Work Load ECTS Credit of the Course			78 3

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
MAT 132	LINEAR ALGEBRA	3 + 0	1	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Prof. Dr. SERPİL HALICI	shalici@pau.edu.tr		FTRYO A0234 İTBF A0216	%70

Goals		At first, acquainting the students with fundamental mathematical concepts like vectors, vector spaces, matrices and linear transformations. Then, teaching them the methods of solving the general linear system equations together with its applications.
Content		Vectors / Matrices and the solution of linear system equations / Vector spaces and subspaces / Orthogonality and orthogonalization / Determinants / Eigenvalues and eigenvectors / Computations with matrices / Singular Value Decomposition (SVD) and its applications.

Topics

Weeks	Topics
1	Matrices
2	Determinants
3	Lineer systems solution
4	Vectors
5	Vector spaces
6	Ortgonalization
7	Linear transforms
8	Eigenvalue and eigen vectors
9	Diagonalization and quadratic forms
10	Matrix functions
11	Least squares solution
12	LU and QR decomposition
13	Singular value decomposition
14	Linear algebra applications

Materials

Materials are not specified.

Resources

Resources	Resources Language
Doğrusal Cebir, Cemal Koç, Odtü Ders kitabı	Türkçe

Course Assessment

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student