Course Name Code Semester T+U Hours Credit ECTS
Differential Equations MAT 211 3 4 + 0 4 6
 Precondition Courses Recommended Optional Courses Course Language Turkish Course Level Bachelor's Degree Course Type Compulsory Course Coordinator Prof.Dr. ŞEVKET GÜR Course Lecturers Prof.Dr. UĞUR ARİFOĞLU, Doç.Dr. NEZAKET PARLAK, Doç.Dr. ZEKERİYA PARLAK, Prof.Dr. EKREM BÜYÜKKAYA, Dr.Öğr.Üyesi ALPER KİRAZ, Prof.Dr. ÖMER FARUK GÖZÜKIZIL, Prof.Dr. ŞEVKET GÜR, Prof.Dr. METİN YAMAN, Doç.Dr. ÜNAL UYSAL, Dr.Öğr.Üyesi ABDULLAH HULUSİ KÖKÇAM, Course Assistants Course Category Available Basic Education in the Field Course Objective The general pourpose of this course is to provide an understanding of ordinary differential equations (ODEs), and to give methods for solving them. Because differential equations express relationships between changing quantities, this material is applicable to many fields, and is essential for students of engineering and physical sciences. Course Content Basic concepts and classifying differential equations, variable separated differential equations, Homogenous differential equations, exact differential equation, Integrator method, First order linear differential equations, finding solution for a linearized differential equations, Bernoulli differential equations, Ricatti differential equations, separation of variables, First order high degree differential equations, Singular solution of differential equations. Clairaut differential equation, Lagrange differential equation, Numeric solutions of differential equations, Taylor series method, Picard iteration method, Runge-Kutta method, High order linear differential equations, Criteria for linear independence, Solution of high order, one side, constant coefficient linear differential  equation. Undetermined coefficients method, Exchange of Lagrange constants method. General solution of Euler differential equations. Decreasing the degree of a differential equation. Solution of constant coefficient differential equation with operator method. Linear differential equations. State equations. Solutions of differential equations with one side. Solution of differential equation systems with Eigen characteristic equation. Laplace conversion. Laplace transformation of derivatives. Methods of separation to basic fractions. Reverse Laplace transformation. Solution of constant coefficient linear differential equations with Laplace transformation. Convolution. Application of Convolution theorem to integral equations. Laplace transformation of periodic functions. Solution of partial derivative differential equations with Laplace transformation. Laplace transformation of step functions. Laplace transformation of impulse functions. Solution of differential equations with series. Bessel functions. Gamma function.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understands the terminology about the differential equations. Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
2 Verify that a given function is solution of a differential equation Drilland Practice, Question-Answer, Lecture, Homework, Testing,
3 Solve problems of ordinary differential equations and system of differential equations Problem Solving, Drilland Practice, Discussion, Question-Answer, Lecture, Testing, Homework,
4 Apply knowledge of differential equations in order to solve real-world engineering problems Problem Solving, Drilland Practice, Discussion, Question-Answer, Lecture, Homework, Testing,
5 Problem Solving, Drilland Practice, Discussion, Question-Answer, Lecture, Homework, Testing,
6 Problem Solving, Drilland Practice, Discussion, Question-Answer, Lecture, Homework, Testing,
7 Problem Solving, Drilland Practice, Discussion, Question-Answer, Lecture, Homework, Testing,
8 Problem Solving, Drilland Practice, Discussion, Question-Answer, Lecture, Homework, Testing,
Week Course Topics Preliminary Preparation
1 Basic Concepts and Classifying Differential Equations. Obtaining differential equations. Separable differential equations. Engineering applications.
2 Homogeneous functions, homogenous differential equations. Exact differential equations and engineering applications.
3 Non-Linear First Order linear Equations. Integration factor method. Change of variables method. Change of Lagrange variables method. Engineering Applications.
4 Solution of differential equations by changing to the linear form. Bernoulli differential equation. Ricatti differential equation. Engineering applications.
5 Second-Order Linear Equations: Linear Independence, Homogeneous Equations with Constant Coefficients
6 General solution of high order one sided, constant coefficient linear differential equations. Criteria of linear independence. Wronski determinant. Engineering applications.
7 General solution of high order two sided, constant coefficient linear differential equations. Undetermined coefficients method. LSD method. Engineering applications.
8 Euler differential equations. Decreasing the degree of a differential equation. Solution of constant coefficient differential equation with operator method.
9 Mid-Term Exam
10 Introduction to differential equation systems. Linear differential equation systems. Solution of one sided linear differential equation systems. Eigen characteristic equation. Engineering applications.
11 Solution of one sided linear differential equations. Undetermined coefficients method. Change of Lagrange constants method. Engineering applications.
12 Laplace transformation, Laplace transformation of derivati.ve. Reverse Laplace transformation. Separation of basic fractions. Engineering applications.
13 Laplace Transform Method
14 Solution of differential equations with series. Bessel functions. Gamma function.
Resources
Course Notes <p>&Ccedil;engel, Y. A. ve Palm, W. J. (T&uuml;rk&ccedil;esi: Tahsin Engin), 2012, M&uuml;hendisler ve Fen Bilimciler İ&ccedil;in Diferansiyel Denklemler, G&uuml;ven Kitabevi, İzmir.</p>
Course Resources

1. Türker, E. S. ve Başarır, M., 2003, Çözümlü Problemlerle Diferansiyel Denklemler, Değişim Kitabevi, Sakarya.
2. Bronson, R.,1993, Differantial Equations, Schaum´s Outlines, Nobel Kitabevi, Ankara.
3. Edwards, C. H.ve Penney, D. E., (Türkçesi: Ömer Akın) 2008, Diferansiyel Denklemler ve Sınır Değer Problemleri,Palme Yayıncılık.

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. X
2 Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods.
4 Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively.
5 Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems.
6 Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually
7 Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language.
8 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.
9 Engineering graduates with well-structured responsibilities in profession and ethics.
10 Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development.
11 Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 70
1. Kısa Sınav 10
2. Kısa Sınav 10
3. Kısa Sınav 10
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100