Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Differential Equations BMZ203 Turkish Compulsory 3. Semester 3 + 0 3.0 3.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face
Course Coordinator Doç. Dr. Fatih HEZENCİ
Instructor(s)
Goals The objective of this course is to impart in students in-depth knowledge and proficiency regarding differential equations and systems.
Course Content Introducing students to differential equations and systems which are encountered in many engineering applications and investigating their solutions.
Learning Outcomes
# Öğrenme Kazanımı
1 The student models and interprets certain phenomena.
2 The student solves first-order differential equations
3 The student solves first-order differential equations of a higher degree.
4 The student defines the theory of n-th order linear differential equations and applies it.
5 The student applies the solution methods for linear differential equations with constant coefficients.
6 The student comprehends the solution methods for differential equations with variable coefficients.
7 The student articulates and applies the solution methods for higher-order nonlinear differential equations.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week General concepts and classification Interview Presentation (Preparation)
2. Week First order differential equations Presentation (Preparation) Interview
3. Week Variable separable equations, exact differential equations Interview Presentation (Preparation)
4. Week Integral multiplier, linear equations in first order, variable change; homogeneous equations Interview Presentation (Preparation)
5. Week Bernoulli equation, Riccati equation Interview Presentation (Preparation)
6. Week Existence and uniqueness theorems, applications of first order differential equations Interview Presentation (Preparation)
7. Week Higher order equations in the first order Interview Presentation (Preparation)
8. Week Higher order equations in the first order Interview Presentation (Preparation)
9. Week Linear differential equations in n-order: constant coefficient equations (uncertain coefficient methods) Interview Presentation (Preparation)
10. Week Variable coefficient differential equations (operator is divided into multipliers, method of changing parameters Interview Presentation (Preparation)
11. Week Order reduction method, Cauchy-Euler equation Presentation (Preparation) Interview
12. Week Laplace transformations, definitions and theorems Interview Presentation (Preparation)
13. Week Application of Laplace transformations to ordinary differential equations Interview Presentation (Preparation)
14. Week Power series method: solutions around ordinary and singular points, Systems of linear differential equations: basic theory and solutions, solution using Laplace transform Interview Presentation (Preparation)
*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 Utilizes (or Applies) knowledge of natural sciences and mathematics in developing various processes in their field.
2 Demonstrates adherence (or behaves) to ethical and deontological principles in decision-making and implementation processes.
3 Utilizes (or Applies) scientific and technological developments in the applications within their field.
4 Integrates (or Combines) fundamental engineering knowledge with technical tools to solve engineering problems in their field using an analytical approach.
5 Designs all technical systems, system components, and production processes relevant to their field.
6 Implements (or Applies) plant and animal production processes in accordance with scientific and technical principles.
7 Utilizes (or Employs) data-driven core technologies in agricultural production processes.
8 Applies (or Implements) sustainability principles and approaches to agricultural processes.
9 Utilizes (or Applies) managerial and institutional knowledge related to agriculture, while considering (or observing) global and local developments.
10 Manages soil and water resources and agricultural waste sustainably by integrating scientifically based irrigation, drainage, and soil conservation systems with precision agriculture and digital water management technologies.
11 Designs agricultural machinery and equipment for agricultural production and post-harvest processes, evaluates their performance, and enhances their efficiency through automation.
12 Develops functional and environmentally sensitive (or sustainable) solutions in the design of agricultural structures (such as greenhouses, barns, and pens) by utilizing modern engineering and construction technologies.
13 Analyzes energy efficiency for agriculture and develops effective systems by integrating biofuel production and other sustainable energy sources
14 Analyzes precision agriculture data (such as satellite imagery, unmanned aerial vehicles (UAVs), and handheld radiometers) to develop and implement systems that optimize resource management.
15 Executes entrepreneurial projects developed based on legal and ethical boundaries by following current developments, manages them through interdisciplinary collaboration, and transfers the acquired knowledge to stakeholders.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6 DK7
PY1 5 5 5 5 5 5 5
PY2 1 1 1 1 1 1 1
PY3 1 1 1 1 1 1 1
PY4 1 1 1 1 1 1 1
PY5 1 1 1 1 1 1 1
PY6 1 1 1 1 1 1 1
PY7 1 1 1 1 1 1 1
PY8 1 1 1 1 1 1 1
PY9 1 1 1 1 1 1 1
PY10 1 1 1 1 1 1 1
PY11 1 1 1 1 1 1 1
PY12 1 1 1 1 1 1 1
PY13 1 1 1 1 1 1 1
PY14 1 1 1 1 1 1 1
PY15 1 1 1 1 1 1 1
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • H. Kurt, M. Özkaymak, Z. Recebli, Mühendislikte Diferansiyel Denklemler, Seçkin Yayıncılık, Ankara, 2013
  • M. Aydın, B. Kuryel, G. Gündüz, G. Oturanç, Diferansiyel Denklemler ve Uygulamaları, Fakülteler Barış Kitabevi, 2011.
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
Research 14 2 28
Other Activities 3 1.5 4.5
Sınavlar
Midterm 1 1 1 1
Final 1 1 1
Total Workload 76.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 3.0