GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL APPROXIMATION THEORY/5271305
Course Title: STATISTICAL APPROXIMATION THEORY
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
   Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
. Convergence
Statistical Convergence
. A- Statistical Convergence
Lamda and Lacunary Statistical Convergence
Applications of Different Approximations
 -- MODE OF DELIVERY
   The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Motivations and Definitions
2. Week  Convergence
3. Week  Statistical Convergence
4. Week  korovkin theorem and Statistical Convergence
5. Week  Statistical Convergence in Approximation of two variables operators
6. Week  Lp spaces
7. Week  .Statistical Convergence in Lp Spaces,Midterm
8. Week  Toeplitz matris and Cesaro matris
9. Week  Toeplitz matris and Cesaro matris
10. Week  .A- Statistical Convergence
11. Week  A- Statistical Convergence in the weighted spaces
12. Week  Lamda- Statistical Convergence
13. Week  Lamda- Statistical Convergence
14. Week  Some Applications
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
0
0
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
10
3
30
 Searching in Internet and Library
10
4
40
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
10
4
40
 Final Exam and Preperation for Final Exam
10
4
40
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
192
 TOTAL WORKLOAD / 25: 
7.68
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1To be able to develop their knowledge of theory and applications at master degree depending on the competencies acquired in undergraduate level.X
2To be able to recognize different problems encountered in mathematics and to be able to make studies for their solutions.X
3To be able to formulate new solutions with scientific methods mostly based on analysis and synthesis.X
4To be able to carry out his/her works either independently or in groups within a project considering his/her knowledge on the field he/she works in a critical approach.X
5To be able to continue his/her works considering social, scientific and ethical values.X
6To be able to follow scientific and social developments related to his/her field.X
7To be able to carry out his/her works within the framework of quality management, workplace safety and environmental awareness and to be able to present systematically his/her works using various methods like written, oral or visual.X
8To be able to use methods of accessing knowledge effectively in accordance with ethical values.X
9To be able to use knowledge in other disciplines by combining it with mathematical information.X
10To be able to make activities in the awareness of need for lifelong learning.X
11To be able to make connections between mathematical and social concepts and produce solutions with scientific methods.X
12To be able to use his/her mathematical knowledge in technology.X
 -- NAME OF LECTURER(S)
   (Doç. Dr. Mediha ÖRKCÜ , )
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/medihaakcay)
 -- EMAIL(S) OF LECTURER(S)
   (medihaakcay@gazi.edu.tr)