Mathematics

Theory of Complex Functions(MAT325)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
MAT325 Theory of Complex Functions 6 4 0 0 4 8
Prerequisites MAT102, MAT116
Admission Requirements MAT102, MAT116
Language of Instruction French
Course Type Compulsory
Course Level Bachelor Degree
Course Instructor(s) Ayberk ZEYTİN azeytin@gsu.edu.tr (Email)
Assistant
Objective Introduce the student to the universe of complex functions and provide basis for topics such as functional analysis, Riemann surfaces, complex geometry and modular forms.
Content Complex numbers. Holomorphic functions. Power series. Analytic functions. Derivative and limit. Properties of analytic functions. Laurent series. Classification of singularities. Conformal maps. Rouche teorem. Cauchy integral theoremi. Maksimum principle. Residue theorem. Belirli intgegral hesabına uygulamaları.
Course Learning Outcomes Consolidate students knowledge on complex numbers and power series. Computing integrals via the Cauchy residue theorem. Learning the extension of some classical functions to the complex domain.
Teaching and Learning Methods course and exercice.
References Introuction to complex analysis, Bak & Newman.
Print the course contents
Theory Topics
Week Weekly Contents
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 6 60
Contribution of final exam to overall grade 1 40
Toplam 7 100
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 0 0
Midterm Examinations (including preparation) 0 0
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 6 60
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 6 60
No Program Learning Outcomes Contribution
1 2 3 4 5
1 understands principles of deductive reasoning; has experience to verify well-foundedness and exactness of mathematical statements in systematic ways; X
2 can properly state and use concepts and results of major mathematical interest; X
3 masters current computational techniques and algorithms; has a good ability in their use; can identify relevant tools, among those one has learned, suitable to solve a problem and is able to judge whether or not one is in possession of these tools; X
4 is able to express one’s mathematical ideas in an organised way both in written and oral forms; X
5 understands relations connecting substantial concepts and results; can switch from one viewpoint to another on mathematical objects (pictures, formulae, precise statements, heuristic trials, list of examples,...); X
6 has followed individually a guided learning strategy; has pursued steps toward the resolution of unfamiliar problems; X
7 has a theoretical and practical knowledge in computer science well adapted for learning a programming language; X
8 has investigated the relevance of modeling and using mathematical tools in natural sciences and in the professional life; is conscious about historical development of mathematical notions;
9 has followed introduction to some mathematical or non-mathematical disciplines after one’s proper choice; had experience to learn selected subjects according to one’s proper arrangement; X
10 masters French language as well as other foreign languages, to a level sufficient to study or work abroad. X
Activities Number Period Total Workload
Class Hours 28 2 56
Working Hours out of Class 14 4 56
Assignments 0 0 0
Presentation 0 0 0
Midterm Examinations (including preparation) 0 0 0
Project 0 0 0
Laboratory 0 0 0
Other Applications 0 0 0
Final Examinations (including preparation) 1 25 25
Quiz 6 10 60
Term Paper/ Project 0 0 0
Portfolio Study 0 0 0
Reports 0 0 0
Learning Diary 0 0 0
Thesis/ Project 0 0 0
Seminar 0 0 0
Other 0 0 0
Total Workload 197
Total Workload / 25 7,88
Credits ECTS 8
Scroll to Top