Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Differential equations BSM209 3. Semester 2 + 2 3.0 4.0
Prerequisites None
Language of Instruction Turkish
Course Level Undergraduate
Course Type
Mode of delivery Face to face
Course Coordinator Assoc. Prof. Dr. Fatih HEZENCİ
Instructors Fatih HEZENCİ
Assistants
Goals General concepts and classification First order differential equations Variable separable equations, exact differential equations Integral multiplier, linear equations in first order, variable change; homogeneous equations Bernoulli equation, Riccati equation Existence and uniqueness theorems, applications of first order differential equations Higher order equations in the first order Linear differential equations in n-order: constant coefficient equations (uncertain coefficient methods) Variable coefficient differential equations (operator is divided into multipliers, method of changing parameters Order reduction method, Cauchy-Euler equation Laplace transformations, definitions and theorems Application of Laplace transformations to ordinary differential equations Power series method: solutions around ordinary and singular points Systems of linear differential equations: basic theory and solutions, solution using Laplace transform
Course Content Introducing students to differential equations and systems which are encountered in many engineering applications and investigating their solutions.
Learning Outcomes - To gain the ability of modeling and interpreting some events.
- To solve differential equations in the first order.
- To solve high-order equations in the first order.
- n. to understand the theory of linear differential equations.
- To teach solution methods of linear differential equations with constant coefficients.
- To know solution methods for variable coefficient equations.
- To understand the solution methods of non-linear differential equations of high order.
Weekly Topics (Content)
Week Topics Learning Methods
1. Week General concepts and classification Verbal Expression Visual Presentation
2. Week First order differential equations Verbal Expression Visual Presentation
3. Week Variable separable equations, exact differential equations Verbal Expression Visual Presentation
4. Week Integral multiplier, linear equations in first order, variable change; homogeneous equations Visual Presentation Verbal Expression
5. Week Bernoulli equation, Riccati equation Visual Presentation Verbal Expression
6. Week Existence and uniqueness theorems, applications of first order differential equations Visual Presentation Verbal Expression
7. Week Higher order equations in the first order Verbal Expression Visual Presentation
8. Week Midterm Course Hours
9. Week Linear differential equations in n-order: constant coefficient equations (uncertain coefficient methods) Visual Presentation Verbal Expression
10. Week Variable coefficient differential equations (operator is divided into multipliers, method of changing parameters Verbal Expression Visual Presentation
11. Week Order reduction method, Cauchy-Euler equation Visual Presentation Verbal Expression
12. Week Laplace transformations, definitions and theorems Verbal Expression Visual Presentation
13. Week Application of Laplace transformations to ordinary differential equations Visual Presentation Verbal Expression
14. Week Power series method: solutions around ordinary and singular points, Systems of linear differential equations: basic theory and solutions, solution using Laplace transform Verbal Expression Visual Presentation
Recommended Sources
1) H. Kurt, M. Özkaymak, Z. Recebli, Mühendislikte Diferansiyel Denklemler, Seçkin Yayıncılık, Ankara, 2013 2) M. Aydın, B. Kuryel, G. Gündüz, G. Oturanç, Diferansiyel Denklemler ve Uygulamaları, Fakülteler Barış Kitabevi, 2011.
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 DK3 DK4 DK5 DK6 DK7 Measurement Method
PY1 4 4 4 4 4 4 4 4 40,60
PY2 4 4 4 4 4 4 4 4 40,60
PY3 5 5 5 5 5 5 5 5 40,60
PY4 5 5 5 5 5 5 5 5 40,60
PY5 4 4 4 4 4 4 4 4 40,60
PY6 3 3 3 3 3 3 3 3 40,60
PY7 4 4 4 4 4 4 4 4 40,60
PY8 4 4 4 4 4 4 4 4 40,60
PY9 4 4 4 4 4 4 4 4 40,60
PY10 4 4 4 4 4 4 4 4 40,60
PY11 3 3 3 3 3 3 3 3 40,60
*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)
Midterm 1 1 10 10
Final 1 30 30
Practice 1 6 6
Classroom Activities 14 4 56
Total Workload 102
ECTS Credit of the Course 4.0