At the end of this course, the students; 1) know the concepts of Vector and Fourier Analysis 2) can apply Cauchy?s theorem. 3) can make the series expansion of analytic functions 4) can make the applications of Residue?s theorem
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION
Vectoranalysıs, Fourieranalysis, Cauchy?sTheorem, Series representation of analytic functions, Calculus of residues, Conformal mappings, The Laplace transformand applications.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Fundamenbtaş Concepts of Real and Complex Analysis
2nd Week
Vector Analysis
3rd Week
Vector Analysis
4th Week
Fourier Analysis
5th Week
Fourier Analysis
6th Week
Cauchy?s Theorem
7th Week
Applications of Cauchy?s Theorem
8th Week
Midterm
9th Week
Series representation of analyticfunctions-Power series
10th Week
Taylor and Laurent Series
11th Week
Calculus of residues-Residue Theorem
12th Week
Calculus of residues
13th Week
Conformal mappings
14th Week
The Laplace transform and applications.
15th Week
RECOMENDED OR REQUIRED READING
Lars V. Alfhors, Complex Analysis: An Introduction to the Theory of Analytic Functions of One Complex Variable, McGraw-Hill, 1996.
James Ward Brown, Ruel V. Churchill, Complex Variables and Applications, Mc Graw Hill Science, 1995.
Real and Complex Analysis, Walter Rudin.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Questions/Answers
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
40
Total(%)
40
Contribution of In-term Studies to Overall Grade(%)
40
Contribution of Final Examination to Overall Grade(%)
60
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
Preparation for Quiz
Individual or group work
14
12
168
Preparation for Final exam
1
60
60
Course hours
14
3
42
Preparation for Midterm exam
Laboratory (including preparation)
Final exam
1
1,5
1,5
Homework
1
20
20
Total Workload
291,5
Total Workload / 30
9,71
ECTS Credits of the Course
10
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)