GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SPECTRAL ANALYSİS OF NON-SELFADJOİNT DİFFERENTİAL OPERATORS/6371305
Course Title: SPECTRAL ANALYSİS OF NON-SELFADJOİNT DİFFERENTİAL OPERATORS
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Esra Kır Arpat
 -- WEB SITE(S) OF LECTURER(S)
  websitem.gazi.edu.tr/site/esrakir
 -- EMAIL(S) OF LECTURER(S)
  esrakir@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
To define of differential equation system
To define
To comprehend spectral analysis






 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  To define a differential operator produced by a differential equation
2. Week  To find solutions of a differential equation
3. Week  To calculate asymptotic relations provided by solutions
4. Week  To find discrete spectrum of a differential operator
5. Week  To calculate resolvent of a differential operator
6. Week  To find spectral singularities of a differential operator
7. Week  To calculate continuous spectrum of a differential operator
8. Week  Mid-Term Exam
9. Week  To prove the finiteness of eigenvalue and spectral singularities sentence
10. Week  To prove the finiteness of the multiples of eigenvalue and spectral singularities
11. Week  To prove eigen functions corresponding to eigen values belong to a known Hilbert Space
12. Week  To prove main functions corresponding to spectral singularities belong to another Hilber Space
13. Week  To prepare spectral expansion formula
14. Week  To prove spectral expansion formula
15. Week  To show convergence of spectral expansion formula
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  M.A.Naimark, Differential Operators I-II
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  None
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
2
10
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
10
5
50
 Searching in Internet and Library
10
6
60
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
10
10
 Final and Studying for Final
1
20
20
 Other
2
5
10
 TOTAL WORKLOAD: 
192
 TOTAL WORKLOAD / 25: 
7.68
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
11X
12X