PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
MAT 360	LINEAR SPACES	3 + 0	6th Semester	6

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	Bu dersin amacı, lineer uzaylarla ilgili temel tanım ve teoremleri kavratmaktır.
Course Content	Linear Spaces, Normed Linear Spaces, Banach Algebras, Hilbert Spaces, Matrix Transformatins in Sequence Spaces.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Learns linear spaces.
2	Learns normed linear spaces.
3	Learns Banach Spaces.
4	Learns Hilbert spaces and assocites with Banach normed spaces.
5	Learns matrix transformations on sequence spaces.

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
LO 001		4	3			4		4	5
LO 002		3	4			3		5	4
LO 003		4	4			3		4	4
LO 004		4	3			4		5	5
LO 005		3	4			4		4	5
Sub Total		18	18			18		22	23
Contribution	0	4	4	0	0	4	0	4	5	0

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
Mid-terms	1	56	56
Final examination	1	58	58
Total Work Load ECTS Credit of the Course			156 6

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
MAT 360	LINEAR SPACES	3 + 0	1	Turkish	2020-2021 Summer

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Res. Assist. DİLEK VAROL	dvarol@pau.edu.tr		FEN A0313	%70

Goals		Bu dersin amacı, lineer uzaylarla ilgili temel tanım ve teoremleri kavratmaktır.
Content		Linear Spaces, Normed Linear Spaces, Banach Algebras, Hilbert Spaces, Matrix Transformatins in Sequence Spaces.

Topics

Weeks	Topics
1	Linear spaces
2	Linear spaces
3	Normed vector space
4	Normed vector space
5	Normed vector space
6	Banach space
7	Banach space
8	Midterm
9	Banach algebra
10	Hilbert space
11	Hilbert space
12	Hilbert space
13	Matrix transformations in sequence spaces
14	Matrix transformations in sequence spaces

Materials

Materials are not specified.

Resources

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