Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Differential Equations ENM203 Turkish Compulsory 3. Semester 3 + 0 3.0 5.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face education
Course Coordinator Dr. Öğr. Üyesi Barış KANTOĞLU
Instructor(s) Dr. Öğr. Üyesi Barış KANTOĞLU (Güz)
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
# Öğrenme Kazanımı
1 Defines the differential equation.
2 Solves homogeneous, linear, complete differential equations that can be divided into variables.
3 Solve Bernoulli and Riccati differential equations.
4 Solve second and higher order linear differential equations with constant coefficients.
5 Solves high order differential equations.
6 Knows the method of change of parameters.
7 Define differential equations with variable coefficients.
8 Solves some differential equations with variable coefficients
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Basic concepts and classification of differential equations Interview, Presentation (Preparation), Practice
2. Week Introduction to first order differential equations, differential equations that can be divided into variables Interview, Practice, Presentation (Preparation)
3. Week Linear Differential Equations Practice, Presentation (Preparation), Interview
4. Week Homogeneous Differential Equations Interview, Presentation (Preparation), Practice
5. Week Exact Differential Equations Interview, Practice, Presentation (Preparation)
6. Week Fully Differential Equation Convertible Differential Equations Interview, Presentation (Preparation), Practice
7. Week Bernoulli and Riccati Differential Equations Interview, Presentation (Preparation), Practice
8. Week Bernoulli and Riccati Differential Equations
9. Week Engineering applications and solutions theory of first order differential equations. Interview, Presentation (Preparation), Practice
10. Week High order differential equations, Lagrange and Clairaut differential equations Interview, Presentation (Preparation), Practice
11. Week Introduction to higher order differential equations, differential equations with constant coefficients Interview, Presentation (Preparation), Practice
12. Week Differential equations with variable coefficients Presentation (Preparation), Practice, Interview
13. Week Differential equations with variable coefficients Interview, Presentation (Preparation), Practice
14. Week Method of variation of parameters Presentation (Preparation), Interview, Practice
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 To have theoretical and / or practical knowledge in the field of mathematics, science, social sciences, engineering and / or industrial engineering, and the ability to use this knowledge to model and solve engineering problems
2 Gaining the ability to work actively in projects and projects aimed at professional development in both individual and multidisciplinary groups and taking responsibility in situations that may arise in this process
3 Knowledge of at least one foreign language at a level that will enable communication with colleagues in the field and follow current developments; ability to write and understand written reports effectively, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
4 To be individuals who are sensitive to universal and social values, have knowledge of professional and ethical responsibilities and standards used in engineering practices.
5 The ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose.
6 Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
7 Ability to select and use modern techniques and tools necessary for the identification, formulation, analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively.
8 Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
9 Knowledge of the universal and societal impacts of engineering practices on health, environment and safety, and contemporary issues reflected in the field of engineering; awareness of the legal consequences of engineering solutions, the necessity of lifelong learning and the ability to continuously renew oneself.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6 DK7 DK8
PY1 4 4 4 4 4 4 4 4
PY2 2 2 2 2 2 2 2 2
PY3 1 1 1 1 1 1 1 1
PY4 3 3 3 3 3 3 3 3
PY5 2 2 2 2 2 2 2 2
PY6 3 3 3 3 3 3 3 3
PY7 2 2 2 2 2 2 2 2
PY8 1 1 1 1 1 1 1 1
PY9 1 1 1 1 1 1 1 1
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • 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.
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Sınavlar
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
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 5.0