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FIRST CYCLE - BACHELOR'S DEGREE
FACULTY OF SCIENCE
MATHEMATICS DEPARTMENT
156 MATHEMATICS (Evening Classes)
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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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
All Years
2017-2018 Spring
Course Term
No
Instructors
Details
2017-2018 Spring
1
MURAT BEŞENK
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Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
MAT 360
LINEAR SPACES
3 + 0
1
Turkish
2017-2018 Spring
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Prof. Dr. MURAT BEŞENK
mbesenk@pau.edu.tr
FEN A0311
%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
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes