GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
FUNCTIONAL ANALYSIS II/MAT- 404
Course Title: FUNCTIONAL ANALYSIS II
Credits 3 ECTS 5
Semester 8 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof.Dr.Nurhayat İspir
 -- WEB SITE(S) OF LECTURER(S)
  websitem.gazi.edu.tr/site/nispir
 -- EMAIL(S) OF LECTURER(S)
  nispir@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
understanding the concept of the normed spaces and Banach spaces
Understanding the concept of linear operator and functional
learning extension of linear operators, the concept of linear functional and Dual space
Interpretation the theorems Hahn-Banach Theorem, open mapping theorem, Closed graph theorem, Banach- Steinhaus theorem.
Abstract approach and abstract thinking skills
 -- 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  Linear operators, bounded operators, continuity
2. Week  Linear operators, linear functional on the, finite dimensional normed spaces
3. Week  Extended of linear operators, linear functional and Dual space
4. Week   Hanh-Banach Theorem and its consequences
5. Week  Banach Steinhauss Theorem
6. Week  Open mapping theorem, Closed graph theorem and applications
7. Week   Applications
8. Week   Mid-Term Exam
9. Week  Banach algebras
10. Week   Discus algebras
11. Week   Discus algebras
12. Week  Spectrums, Regular and singular elements
13. Week  Regular and singular elements, topolgical divisor of zero
14. Week  Solutions of problem
15. Week  Feedback
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  “Fonksiyonel Analiz” Mustafa Bayraktar, Gazi Kitapevi 2012 “Fonksiyonel Analiz” Binali Musayev ve Murat Alp, Balcý yayýnlarý, 2000 Fonksiyonel Analiz,Yüksel Soykan,2013
 -- 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
20
 Assignment
3
20
 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
8
3
24
 Searching in Internet and Library
8
3
24
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
12
12
 Final and Studying for Final
1
16
16
 Other
5
2
10
 TOTAL WORKLOAD: 
128
 TOTAL WORKLOAD / 25: 
5.12
 ECTS: 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1To train individuals who are contemporary, entrepreneur and have unique and aesthetic values, self-confidence and capable of independent decision-making.X
2To give good education in the program fields as algebra, geometry, applied mathematics, topology and analysis in order to be equipped with enough mathematics.X
3To teach mathematical thinking methods in order to improve the ability to express mathematics both orally and in writing.X
4To train individuals who are knowledgeable about the history of mathematics and the production of scientific knowledge and can follow developments in these disciplines.X
5To provide necessary equipments to take positions such areas as banking, finance, econometrics, and actuarial.X
6To acquire ability to solve problems encountered in real life by means of mathematical modeling using mathematical methods.X
7To provide ability to do necessary resource researches in the areas of mathematics and to use accessed information.X
8To give appropriate training in such areas as in computer programming and creating algorithms in order to take parts in developing IT sector.X
9To gain substructure to be able to study at graduate level.X
10To enable the student to gain the ability of relating mathematics with the other sciences.X