ISHIK UNIVERSITY
FACULTY OF EDUCATION
Department of MATHEMATICS EDUCATION,
2018-2019 Spring
Course Information for MATH 304 COMPLEX ANALYSIS II

Course Name: COMPLEX ANALYSIS II
CodeCourse typeRegular SemesterTheoreticalPracticalCreditsECTS
MATH 304263-35
Name of Lecturer(s)-Academic Title: Jamal Gaderov -
Teaching Assistant:-
Course Language:English
Course Type:Main
Office Hours 8:45- 17:00
Contact Email:[email protected]

Tel:07507285243
Teacher's academic profile:MSc
Course Objectives:In this complex numbers an their graphical representations will be shown. Roots of unity has nice results they will be seen. Limit of complex valued functions, analytic and harmonic functions are given. Finally, Cauchy integral and its related topics will be discussed.
Course Description (Course overview):Complex differentiation, Cauchy-Riemann equations, holomorphic functions, conformal mappings, contour integration, Cauchy's theorem, Taylor and Laurent series, open mapping theorem, maximum modulus principle, applications of the residue theorem.
COURSE CONTENT
WeekHour              Date              Topic
1 3 3-7/2/2019 Complex numbers and Graphical representations
2 3 10-14/2/2019 Complex numbers and Graphical representations

3 3 17-21/2/2019 Roots of unity and applications
4 3 24-28/2/2019 Roots of unity and applications

5 3 3-7/3/2019 Limit of complex valued functions. Continuity and some theorem
6 3 26-28/3/2019 Limit of complex valued functions. Continuity and some theorem

7 3 31/3-4/4/2019 Sequences in complex plane and their convergence
8 3 7-11/4/2019 Sequences in complex plane and their convergence

9 3 14-18/4/2019 Midterm Exam
10 3 21-25/4/2019 Analytic functions. Cauchy – Riemann equations

11 3 28/4-2/5/2019 Analytic functions. Cauchy – Riemann equations
12 3 5-9/5/2019 Complex integration. Cauchy’s theorem

13 3 12-16/5/2019 Complex integration. Cauchy’s theorem
14 3 19-23/5/2019 Cauchy integral and related topics

15 3 26-30/5/2019 Infinite series. Taylor and Laurent series
16 3 9-13/6/2019 Final Exam

17 3 16-20/6/2019 Final Exam
COURSE/STUDENT LEARNING OUTCOMES
1Basic tools of Complex analysis
2Analytic functions
3Complex integration
COURSE'S CONTRIBUTION TO PROGRAM OUTCOMES
(Blank : no contribution, I: Introduction, P: Profecient, A: Advanced )
Program Learning Outcomes Cont.
1Demonstrate an understanding of the common body of knowledge in mathematics.P
2Demonstrates an understanding of pedagogical content knowledge, technology and perfectible assessment.A
3Demonstrate the ability to think critically, research scientifically, and become modern and up-to-date.I
4Understands the interrelationship of human development, cognition, and culture and their impact on learning.
5Demonstrate the ability to apply analytical and theoretical skills to model and solve mathematical problems.A
6Demonstrate the ability to effectively use a variety of teaching technologies and techniques and classroom strategies to positively influence student learning.
7Understands how to form connections among educators, families, and the larger community to promote equity and access to education for his/her students.
8Understands assessment and evaluation of student performance and learning and program effectiveness.
9Communicates effectively and works collaboratively within the context of a global society.
Prerequisites (Course Reading List and References):Murray Spiegel , Complex Variables Lecture notes
Student's obligation (Special Requirements):Do projects, homework
Course Book/Textbook:Complex Variables, Schaum Outline Murray Spiegel
Other Course Materials/References:Lecture notes
Teaching Methods (Forms of Teaching):Lectures, Excersises, Self Evaluation, Project
COURSE EVALUATION CRITERIA
MethodQuantity Percentage (%)
Participation110
Quiz110
Homework110
Project110
Midterm Exam(s)120
Final Exam140
Total 100

Examinations: Essay Questions, Short Answers, Matching
Extra Notes:



ECTS (ALLOCATED BASED ON STUDENT) WORKLOAD
ActivitiesQuantityDuration (Hour)Total Work Load
Contact Hours (Theoretical hours + Practical hours/2) x Weeks0
Hours for off-the-classroom study0
Study hours for the Midterm Exam0
Study hours for the Final Exam0
Other0
ECTS0
0
0
Total Workload 0
ECTS Credit (Total workload/25)0

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Lecturer                                                                      Head of Department                                                        Dean