Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Differential Equations BMM211 Turkish Compulsory 3. Semester 3 + 0 3.0 4.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Lecturing
Course Coordinator Doç. Dr. İzzettin DEMİR
Instructor(s) Doç. Dr. İzzettin DEMİR (Güz)
Goals This course aims to explain the fundamental concepts and solution methods of ordinary differential equations, and to equip students with the competence to use these concepts in solving and interpreting problems they may encounter in engineering.
Course Content Basic concepts and classification of differential equations, separable equations, homogeneous differential equations, exact differential equations, equations that can be reducible to exact differential equations and integration factor, first-order linear differential equations, Bernoulli and Riccati equations, second-order linear differential equations, linear independence and Wronskian, second-order linear non-homogeneous differential equations with constant coefficients: method of undetermined coefficients, method of variation of parameters, linear differential equations with variable coefficients, method of reduction of order.
Learning Outcomes
# Öğrenme Kazanımı
1 It defines the fundamental concepts of differential equations and classifies equations according to their order, degree, and linearity.
2 It identifies separable, homogeneous, and exact differential equations and obtains their analytical solutions.
3 It solves first-order linear, Bernoulli, and Riccati equations using integration factors.
4 It covers the fundamental theory of second-order linear equations
5 It solves non-homogeneous or second-order equations with variable coefficients using appropriate methods (undetermined coefficients, variation of parameters, downsizing).
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Basic concepts and classification of differential equations. Preparation, After Class Study, Research, Practice, Interview
2. Week Equations that can be separated into variables, Homogeneous differential equations Preparation, After Class Study, Research, Practice, Interview
3. Week Exact differential equations, equations that can be transformed into exact differential equations, and the integration factor. Preparation, After Class Study, Research, Practice, Interview
4. Week Exact differential equations, equations that can be transformed into exact differential equations, and the integration factor. Preparation, After Class Study, Research, Practice, Interview
5. Week First-order linear differential equations
6. Week First-order linear differential equations Preparation, After Class Study, Research, Practice, Interview
7. Week Bernoulli ve Riccati denklemleri Preparation, After Class Study, Research, Practice, Interview
8. Week Bernoulli ve Riccati denklemleri Preparation, After Class Study, Research, Practice, Interview
9. Week Second-order linear differential equations, linear independence, and Wronskian equations. Preparation, After Class Study, Research, Practice, Interview
10. Week Second-order linear differential equations, linear independence, and Wronskian equations. Preparation, After Class Study, Research, Practice, Interview
11. Week Second-order linear homogeneous differential equations with constant coefficients Preparation, After Class Study, Research, Practice, Interview
12. Week Second-order linear non-homogeneous differential equations with constant coefficients: method of undetermined coefficients, method of variation of parameters. Preparation, After Class Study, Research, Practice, Interview
13. Week Linear differential equations with varying coefficients, Reduction of order method Preparation, After Class Study, Research, Practice, Interview
14. Week Linear differential equations with varying coefficients, Reduction of order method Preparation, After Class Study, Research, Practice, Interview
*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 It explains the theories and principles related to the field.
2 It provides practical skills in the field of Biomedical Engineering by utilizing knowledge from health sciences and engineering.
3 It provides the ability to design and develop all or a component of a medical device, software, or product used in the healthcare field under realistic conditions.
4 It provides the ability to define, model, and solve a problem encountered in medicine using engineering approaches.
5 It explains how to effectively use current software and hardware.
6 It instills professional responsibility and ethical awareness.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5
PY1 3 3 3 3 3
PY2 4 4 4 4 4
PY3 3 3 3 3 3
PY4 4 4 4 4 4
PY5 2 2 2 2 2
PY6 2 2 2 2 2
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Bronson, R.,1993, (Türkçesi: Hilmi Hacısalihoğlu), Diferansiyel Denklemler, Schaum´s Outlines, Nobel Kitabevi, Ankara.
  • Edwards, C. H.ve Penney, D. E., (Türkçesi: Ömer Akın) 2008, Diferansiyel Denklemler ve Sınır Değer Problemleri, Palme Yayıncılık.
Evaluation Method
Güz Dönemi
Responsible Personnel Grup Evaluation Method Percentage
Doç. Dr. İzzettin DEMİR Vize 40.00
Doç. Dr. İzzettin DEMİR Final 60.00
Toplam 100.00
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Ders Dışı
Homework 14 1 14
Research 14 1 14
Interview 14 1 14
Practice 14 1 14
Sınavlar
Midterm 1 2 2
Final 1 2 2
Total Workload 102
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0