Faculty Of Engıneerıng
Electrıcal And Electronıcs Engıneerıng (Englısh)

Course Information

COMPLEX CALCULUS
Code Semester Theoretical Practice National Credit ECTS Credit
Hour / Week
MAT205 Fall 3 0 3 4

Prerequisites and co-requisites
Language of instruction English
Type Required
Level of Course Bachelor's
Lecturer Asst. Prof. Çağdaş ALLAHVERDİ
Mode of Delivery Face to Face
Suggested Subject
Professional practise ( internship ) None
Objectives of the Course Prepare students to be able to learn, understand, explain and use complex operation and thus help their engineering studies.
Contents of the Course Definition of complex numbers, Fundamental operations including complex numbers (Four basic operations, roots etc.), Use complex numbers in AC circuits (Phasor algebra), Complex derivatives and complex limits, Complex integrals, Fourier transformations, Conformal mapping.

Learning Outcomes of Course

# Learning Outcomes
1 Ability to apply mathematics, science and engineering knowledge and experience to real world problems.
2 Ability to design and execute experiments and analyze the results.
3 Ability to identify engineering problems and suggest solutions.
4 Ability to communicate, express himself freely and develop new ideas.

Course Syllabus

# Subjects Teaching Methods and Technics
1 Definition of complex numbers and terminology in complex analysis Lecture
2 Fundamental operations with complex numbers Lecture
3 Complex derivatives Lecture
4 Complex limits Lecture
5 Complex integrals and their classification Lecture
6 Cauchy theorem and its applications Lecture
7 Solving complex integrals using Residue theorems Lecture
8 Midterm Exam
9 Fourier transformations Lecture
10 Solving Fourier integrals using Residue theorems Lecture
11 Complex series Lecture
12 Definition of conformal mapping Lecture
13 Electrostatic applications of conformal mapping Lecture
14 Other applications of conformal mapping Lecture
15 Review
16 Final Exam

Course Syllabus

# Material / Resources Information About Resources Reference / Recommended Resources
1 Murray Spiegel, Seymour Lipschutz, John Schiller, Dennis Speilman, Complex Variables, 2nd Edition, Schaum's Outlines, ISBN-13: 978-0071615693.

Method of Assessment

# Weight Work Type Work Title
1 40% Mid-Term Exam Mid-Term Exam
2 60% Final Exam Final Exam

Relationship between Learning Outcomes of Course and Program Outcomes

# Learning Outcomes Program Outcomes Method of Assessment
1 Ability to apply mathematics, science and engineering knowledge and experience to real world problems. 1 1͵2
2 Ability to design and execute experiments and analyze the results. 1 1͵2
3 Ability to identify engineering problems and suggest solutions. 1 1͵2
4 Ability to communicate, express himself freely and develop new ideas. 1 1͵2
PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.

Work Load Details

# Type of Work Quantity Time (Hour) Work Load
1 Course Duration 14 3 42
2 Course Duration Except Class (Preliminary Study, Enhancement) 14 3 42
3 Presentation and Seminar Preparation 0 0 0
4 Web Research, Library and Archival Work 0 0 0
5 Document/Information Listing 0 0 0
6 Workshop 0 0 0
7 Preparation for Midterm Exam 1 20 20
8 Midterm Exam 1 2 2
9 Quiz 0 0 0
10 Homework 0 0 0
11 Midterm Project 0 0 0
12 Midterm Exercise 0 0 0
13 Final Project 0 0 0
14 Final Exercise 0 0 0
15 Preparation for Final Exam 1 20 20
16 Final Exam 1 2 2
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