Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Differential Equations ENM203 3. Semester 3 + 0 3.0 5.0
Prerequisites None
Language of Instruction Turkish
Course Level Undergraduate
Course Type
Mode of delivery Face to face education
Course Coordinator Assist. Prof. Dr. Barış KANTOĞLU
Instructors Barış KANTOĞLU
Assistants
Goals To improve mathematical thinking. To be able to solve differential equation problems in mathematics, physics and engineering.
Course Content Basic concepts of differential equations and their applications in various engineering fields. Classification of first order differential equations, differential equations that can be divided into first order variables. Homogeneous differential equations. Differential equations which can be converted to homogeneous type. Exact differential equations. Differential equations that can be converted to full differential type. Engineering applications and solutions theory of first order linear differential equations. Bernoulli differential equation. Riccati differential equation. High order differential equations. Clairaut differential equation. Lagrange differential equation. Second order differential equations. Second order linear differential equations.
Learning Outcomes - Defines the differential equation.
- Solves homogeneous, linear, complete differential equations that can be divided into variables.
- Solve Bernoulli and Riccati differential equations.
- Solve second and higher order linear differential equations with constant coefficients.
- Solves high order differential equations.
- Knows the method of change of parameters.
- Define differential equations with variable coefficients.
- Solves some differential equations with variable coefficients
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Basic concepts and classification of differential equations Visual Presentation Verbal Expression Practice Course Hours
2. Week Introduction to first order differential equations, differential equations that can be divided into variables Verbal Expression Course Hours Practice Visual Presentation
3. Week Linear Differential Equations Verbal Expression Course Hours Visual Presentation Practice
4. Week Homogeneous Differential Equations Practice Visual Presentation Course Hours Verbal Expression
5. Week Exact Differential Equations Visual Presentation Practice Verbal Expression Course Hours
6. Week Fully Differential Equation Convertible Differential Equations Practice Course Hours Visual Presentation Verbal Expression
7. Week Bernoulli and Riccati Differential Equations Practice Course Hours Verbal Expression Visual Presentation
8. Week Bernoulli and Riccati Differential Equations
9. Week Engineering applications and solutions theory of first order differential equations. Verbal Expression Visual Presentation Course Hours Practice
10. Week High order differential equations, Lagrange and Clairaut differential equations Verbal Expression Practice Course Hours Visual Presentation
11. Week Introduction to higher order differential equations, differential equations with constant coefficients Course Hours Visual Presentation Verbal Expression Practice
12. Week Differential equations with variable coefficients Visual Presentation Practice Verbal Expression Course Hours
13. Week Differential equations with variable coefficients Verbal Expression Practice Visual Presentation Course Hours
14. Week Method of variation of parameters Verbal Expression Course Hours Visual Presentation Practice
Recommended Sources
Yunus A. Çengel ve William J. Palm, Mühendislik ve Temel Bilimler İçin Diferansiyel Denklemler, İzmir Güven Kitabevi 2013.
Peter V. O’Neil, Çeviri: Yaşar Pala, Nobel Akademik Yayıncılık eğitim Danışmanlık 2013.
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 DK3 DK4 DK5 DK6 DK7 DK8 Measurement Method
PY1 4 0 0 0 0 0 0 0 0 -
PY2 2 0 0 0 0 0 0 0 0 -
PY3 1 0 0 0 0 0 0 0 0 -
PY4 3 0 0 0 0 0 0 0 0 -
PY5 2 0 0 0 0 0 0 0 0 -
PY6 3 0 0 0 0 0 0 0 0 -
PY7 2 0 0 0 0 0 0 0 0 -
PY8 1 0 0 0 0 0 0 0 0 -
PY9 1 0 0 0 0 0 0 0 0 -
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Hours 14 3 42
Midterm 1 1 1.5 1.5
Final 1 1 1
Practice 16 2 32
Practice End-Of-Term 8 6 48
Classroom Activities 3 1 3
Total Workload 127.5
ECTS Credit of the Course 5.0