GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ADVANCED COMPLEX ANALYSIS I/6421305
Course Title: ADVANCED COMPLEX ANALYSIS I
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
Achieving adequateness in fundamental subjects in complex analysis
Learning sequences and series of analytic functions
Knowing the concept of Rouche therem, argument prenciple and their applications
learning the properties and the concept of conformal and univalent functions
Learning the properties of transformation of complex elemanter functions and applicable to conformal mappings
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Complex integration, power series,
2. Week  Residues, evaluation of real integrals,
3. Week  Residues, evaluation of real integrals,
4. Week  Number of zeros and poles, the argument principle
5. Week  Number of zeros of analytic functions,Rouche’s theorem and its applications
6. Week  Sequences of analytic functions, properties of convergence
7. Week  Seriess of analytic functions, properties of convergence
8. Week  Harmonic functions, comparision with analytic functions, important theorems
9. Week  Harmonic functions, comparision with analytic functions, Poisson’s integral formula, positive harmonic functions.
10. Week  Conformal mappings, univalent functions,Rieman mapping theorem
11. Week  Conformal mappings, univalent functions,Rieman mapping theorem,,
12. Week  Properties of mappings by elemantary functions
13. Week  Properties of mappings by elemantary functions
14. Week  Problem solutions
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
20
 Assignment
3
20
 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
14
3
42
 Searching in Internet and Library
14
3
42
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
15
15
 Final Exam and Preperation for Final Exam
1
20
20
 Other (should be emphasized)
5
3
15
 TOTAL WORKLOAD: 
176
 TOTAL WORKLOAD / 25: 
7.04
 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)
   (Prof.Dr. NURHAYAT İSPİR)
 -- WEB SITE(S) OF LECTURER(S)
   (websitem.gazi.edu.tr/site/nispir)
 -- EMAIL(S) OF LECTURER(S)
   (nispir@gazi.edu.tr)