Complex Analysis (MATH552) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Complex Analysis MATH552 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Team/Group.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course is designed to provide necessary backgrounds and further knowledge in Complex Analysis for graduate students of Mathematics. The topics covered by this course have numerous applications in pure and applied mathematics.
Course Learning Outcomes The students who succeeded in this course;
  • Understand the conformality, conformal mappings and elementary Riemann surfaces.
  • Learn the maximum principle and the calculus of residues.
  • Understand complex integration.
  • Learn harmonic and entire functions.
  • Know analytic continuation.
Course Content Analytic functions as mappings, conformal mappings, complex integration, harmonic functions, series and product developments, entire functions, analytic continuation, algebraic functions.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 The algebra of complex numbers. Introduction to the concept of analytic function. Elementary theory of power series. pp. 1-42
2 Elementary point set topology: sets and elements, metric spaces, connectedness, compactness, continuous functions, topological spaces. pp. 50-67
3 Conformality. Elementary conformal mappings. Elementary Riemann surfaces. pp. 68-97
4 Fundamental theorems of complex integration. Cauchy’s integral formula. pp. 101-120
5 Local properties of analytic functions: removable singularities, Taylor’s formula, zeros and poles, the local mapping, the maximum principle. pp. 124-133
6 Mid-Term Examination
7 The general form of Cauchy’s theorem. Multiply connected regions pp. 137-144
8 The calculus of residues: the residue theorem, the argument principle, evaluation of definite integrals. pp. 147-153
9 Harmonic functions. pp. 160-170
10 Power series expansions. The Laurent series. Partial fractions and factorization. pp. 173-199
11 Entire functions. pp. 205-206
12 Normal families of analytic functions. pp. 210-217
13 Analytic continuation. pp. 275-287
14 Algebraic functions. pp. 291-294
15 Picard’s theorem. pp. 297
16 Final Examination

Sources

Course Book 1. L. V. Ahlfors, Complex Analysis, 2nd ed., McGraw-Hill, New York 1966.
Other Sources 2. A. I. Markuschevich, Theory of Functions of a Complex Variable, 1985.
3. A J. W. Brown and R. V. Churcill, Complex Variables and Applications, McGraw-Hill, New York, 2003.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 15
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 50
Final Exam/Final Jury 1 35
Toplam 8 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Ability to carry out advanced research activities, both individual and as a member of a team
2 Ability to evaluate research topics and comment with scientific reasoning
3 Ability to initiate and create new methodologies, implement them on novel research areas and topics
4 Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions
5 Ability to apply scientific philosophy on analysis, modelling and design of engineering systems
6 Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level
7 Contribute scientific and technological advancements on engineering domain of his/her interest area
8 Contribute industrial and scientific advancements to improve the society through research activities

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 2 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 7 14
Prepration of Final Exams/Final Jury 1 11 11
Total Workload 77