Undergraduate
Faculty of Science and Letters
Mathematics And Computer Science
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Complex Analysis II

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
MB0044 Complex Analysis II 2/2/0 DE Turkish 5
Course Goals
Making computation of residue with the assistance of determined series representation for analytic functions in Complex Analysis I, calculate some complex and real integrals by using Residue Theorem and giving complementary some special topics  of Complex Analysis. 
Prerequisite(s) None
Corequisite(s) None
Special Requisite(s) The lesson Complex Analysis I is the basis of this lesson.
Instructor(s)
Course Assistant(s) None
Schedule Monday, 11:00-13:00, Ataköy Campus, classroom 3C-07/09, Tuesday, 13:00-15:00, Ataköy Campus, classroom 3C-04/06.
Office Hour(s) Tuesday, 15:00-17:00, Ataköy Campus, Office Number 3A-03/05.
Teaching Methods and Techniques Oral presentations, solving homework problems
Principle Sources James Ward Brown, Ruel V. Churchill, Complex Variables and Applications, Mc Graw Hill Science, 1995.
 
Other Sources Lars V. Alfhors, Complex Analysis: An Introduction to the Theory of Analytic Functions of One Complex Variable, McGraw-Hill, 1996
Course Schedules
Week Contents Learning Methods
1. Week Residue Theorem, Argument Principle, Rouche's Theorem Oral represantation
2. Week Evaluation of improper real integrals Oral represantation
3. Week Improper integrals involving sines and cosines Oral represantation
4. Week Definite integrals involving sines and cosines Oral represantation
5. Week Integration through a branch cut, Problems Oral represantation
6. Week Open Mapping Theorem, Inverse Function Theorem Oral represantation
7. Week Winding number notion, Schwarz Lemma Oral represantation
8. Week Midterm exam -
9. Week Analytic continuation Oral represantation
10. Week Conformal mapping, Riemann Mapping Theorem Oral represantation
11. Week The Schwarz-Chirstoffel Formula Oral represantation
12. Week Lineer fractional transformations, Möbius transformation Oral represantation
13. Week Affine transformasyonu Oral represantation
14. Week Some special transformations, Gamma function, Zeta function Oral represantation
15. Week Final exam -
16. Week Final exam -
17. Week Final exam -
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 2 60
Final Exam 1 40


Program Outcomes
PO-1Interpreting advanced theoretical and applied knowledge in Mathematics and Computer Science.
PO-2Critiquing and evaluating data by implementing the acquired knowledge and skills in Mathematics and Computer Science.
PO-3Recognizing, describing, and analyzing problems in Mathematics and Computer Science; producing solution proposals based on research and evidence.
PO-4Understanding the operating logic of computer and recognizing computational-based thinking using mathematics as a discipline.
PO-5Collaborating as a team-member, as well as individually, to produce solutions to problems in Mathematics and Computer Science.
PO-6Communicating in a foreign language, and interpreting oral and written communicational abilities in Turkish.
PO-7Using time effectively in inventing solutions by implementing analytical thinking.
PO-8Understanding professional ethics and responsibilities.
PO-9Having the ability to behave independently, to take initiative, and to be creative.
PO-10Understanding the importance of lifelong learning and developing professional skills continuously.
PO-11Using professional knowledge for the benefit of the society.
Learning Outcomes
LO-1Understanding Residue and Rouche' Theorems and making calculate residue by using series expansions of functions.
LO-2Calculating some type of definite integrals with assistance of Residue Theorem.
LO-3Understanding Schwarz Lemma.
LO-4Understanding winding number notion and solving problems involving these.
LO-5Understanding the Inverse Function Theorem and the Open Mapping Theorem.
LO-6Understanding the Riemann Mapping Theorem and the Schwarz-Chirstoffel Formula.
LO-7Learning linear fractional transformations and solving problems on some kind of these transformations.
LO-8Learning Gamma and Zeta Functions.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11
LO 1
LO 2
LO 3
LO 4
LO 5
LO 6
LO 7
LO 8