MATHEMATICS
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MAT3008 Complex Analysis Spring 3 0 3 4

Basic information

Language of instruction: English
Type of course: Must Course
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. SÜREYYA AKYÜZ
Recommended Optional Program Components: None
Course Objectives: This course provides deep understanding of analytic or complex differentiable functions. The objective of this course is to cover complex analytic functions' theory. It starts with fundamental arithmetic and complex numbers geometry. Then it continues Cauchy-Riemann equations and Cauchy integral formula. The representation of functions with power series and basic residue theorems are given.

Learning Outcomes

The students who have succeeded in this course;
Students learn;
o Derivative and how to use Cauchy-Riemann equations.
o Line integrals and applications of Cauchy integral theorem.
o Evaluating Cauchy’s integral formula for analytic functions.
o How to use Laurent series.
o Calculating integrals using Residue theorems.
o Applications of Rouché theorem.

Course Content

This course will discuss the basic concepts of complex numbers. Basic functions, the derivative and Cauchy-Riemann equations, Cauchy's integral theorem, Morera's theorem, zeros of analytic functions, maximum and minimum principle of the fundamental theorem of algebra; Laurent series; single classification of isolated points; residue theorem.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Complex Numbers, Riemann Sphere, Sequences and Series.
2) Functions of Complex Variables, Limit, Continuity.
3) Derivative of Functions of Complex Variables, Cauchy-Riemann Conditions, Analytic Functions.
4) Modules of derivative and Geometric meaning of Argument,Concept of Conformal Mapping.
5) Linear Fractional Function and its Properties.
6) Mapping Properties of Some Fundamental Functions.
7) Integral of the Functions of Complex Variable and its Relation with Curve Integrals, Newton-Leibnitz Formula,Cauchy Integral Theorem.
8) Cauchys İntegral Formula, Cauchys İntegral Formula for Derivatives, Cauchy Type Integral. Midterm exam I
9) Sequences and Series of Analytic Functions, Weierstrass Theorem. Morera’s Theorem.
10) Power Series, Abel Theorem, Cauchy-Hadamard Formula, Cauchys Inequality, Liouville Theorem.
11) Uniqueness Theorem, Maximum Module Principle and Schwarz Lemma.
12) Laurent Series, Cauchy Formula for Coefficients.
13) Zeros of Analytic Functions and Orders of Zeros.
14) Disjoint Singular Points, Poles and Essential Singular Points, Riemann, Casoratti-Weierstrass and Picard Theorms.

Sources

Course Notes / Textbooks: “Fundamentals of Complex Analysis with Applications to Engineering and Science (third edition)”, by E. B. Saff and A.D. Snider. Pearson Education, Inc.
References: A.I. Markushevich “Theory of Functions of a Complex Variable”, “Complex variables and applications” Ruel V. Churchill,

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 16 % 0
Quizzes 5 % 15
Midterms 2 % 45
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 2 28
Quizzes 5 3 15
Midterms 2 5 10
Final 1 10 10
Total Workload 105

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics 5
2) To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods, 5
3) To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials, 5
4) To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, 4
5) To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way, 4
6) To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,
7) To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
8) To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense,
9) By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere, 4
10) To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning,
11) To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school, 3
12) To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively. 4