Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Mathematics
  • Course Structure Diagram with Credits
  • Partial Differential Equations
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title MAT409 - Partial Differential Equations
Course Type Area Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 5.0
Course Instructor(s) DOÇENT DOKTOR BAHAR KARAMAN
Mode of Delivery The mode of delivery of this course is Face to face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended None.
Required or Recommended Resources Kısmi Türevli Denklemler, Kerim Koca, Gündüz Eğitim ve Yayıncılık
Recommended Reading List Kısmi Diferansiyel Denklemler, Mehmet Çağlıyan, Okay Çelebi, Dora Yayıncılık
Assessment methods and criteria Two midterms and a final exam
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Basic Concepts: A general classification of partial differential equations, Providing partial differential equations;
Week - 2 First order partial differential Equations, First order linear equations,
Week - 3 First order semi-linear equations Langrange Method
Week - 4 First order nonlinear equations (Charpit Method),
Week - 5 First order nonlinear equations special types
Week - 6 First order nonlinear equations special types
Week - 7 Standard form to transform non linear equations;
Week - 8 Higher Order Partial Differential Equations: Second order linear equations with constant coefficients,
Week - 9 Second order linear equations with constant coefficients,
Week - 10 Separation of operators into reoccurring multiplier
Week - 11 Euler equations
Week - 12 Finding a special solution for non homogeneous linear equations
Week - 13 Finding a special solution for non homogeneous linear equations
Week - 14 Finding a special solution for non homogeneous linear equations

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Observation
  • Team/Group Work
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Competences
  • Productive
  • True to core values
  • Rational
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Effective use of Turkish
  • Effective use of a foreign language
  • Problem solving
  • Information Management
  • To work autonomously
  • Elementary computing skills

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 20
2.Midterm Exam 1 30
Final Exam 1 50
Toplam (%) 100
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