PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EKNM 108	LINEAR ALGEBRA	3 + 0	2nd Semester	4

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	The course is intented to introduce matrix algebra and vector spaces.
Course Content	Linear equation systems, matrices, subspaces, eigenvalues and eigenvectors, Cholesky decomposition, Diagonalization .
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Learns fundamental lineer algebra topics and gains ability of application these.
2	Gains ability of solving the mathematical problems with lineer algebra

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001	5	5	5	5	5	5	5	5	5	5	5	5
LO 002	5	5	5	5	5	5	5	5	5	5	5	5
Sub Total	10	10	10	10	10	10	10	10	10	10	10	10
Contribution	5	5	5	5	5	5	5	5	5	5	5	5

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	2	28
Mid-terms	1	15	15
Final examination	1	19	19
Total Work Load ECTS Credit of the Course			104 4

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
EKNM 108	LINEAR ALGEBRA	3 + 0	1	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. FADİME GÖKÇE	fgokce@pau.edu.tr		İİBF C0104	%70

Goals		The course is intented to introduce matrix algebra and vector spaces.
Content		Linear equation systems, matrices, subspaces, eigenvalues and eigenvectors, Cholesky decomposition, Diagonalization .

Topics

Weeks	Topics
1	Introduction
2	Vectors
3	Matrices
4	Vector spaces
5	Rank, inverse and determinant
6	Partitioned matrices
7	Special matrices
8	Midterm
9	Systems of linear equations
10	Systems of linear equations (cont.)
11	Systems of linear equations (cont.)
12	Matrix functions and Kronecker product
13	Matrix calculus
14	Matrix calculus (cont.)

Materials

Materials are not specified.

Resources

Resources	Resources Language
Lineer Cebir, Tuncay Can, Beta.	Türkçe
Matrix Algebra (Econometric Exercises Series), Karim M. Abadir, Jan R. Magnus, Cambridge University Press.	English

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

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

Prospective Student