Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
DIFFERENCE EQUATIONS MAT4443 0 + 0 3.0 6.0

Prerequisites None

Language of Instruction English
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals The aim is to have information about difference equations and to obtain their solutions.
Course Content Difference operator, Properties of difference and shift operators, Analogies between the difference operator and differential operator, Antidifference operator and its properties, Approximate summation, Theory of linear difference equations, First order linear difference equations, Second order linear difference homogeneous equations,Second order difference equations with variable coefficients, Higher order linear homogeneous difference equations with constant coefficients, Methods of undetermined coefficients,The method of variation of constants, Nonlinear scalar difference equations, Some applications on difference equations
Learning Outcomes 1) Recognizes the properties of Difference and shift operators.
2) Compares differential operator and the difference operator.
3) Examines the properties of linear difference equations.
4) Solves high-order homogeneous equations with constant coefficients.
5) Calculates the solutions of second order equations with variable coefficients.
6) Finds the particula solution by the method of undetermined coefficients.
7) Applies the variation of parameters.
8) Recognize the application areas of difference equations
9) Calculates some of the solutions of nonlinear difference equations.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Difference operator Problem Solving
Brainstorming
Problem Based Learning
Homework
2. Week Properties of difference and shift operators Problem Solving
Brainstorming
Problem Based Learning
Homework
3. Week Analogies between the difference operator and differential operator Problem Solving
Brainstorming
Problem Based Learning
Homework
4. Week Antidifference operator and its properties Problem Solving
Brainstorming
Problem Based Learning
Homework
5. Week Approximate summation Problem Solving
Brainstorming
Problem Based Learning
Homework
6. Week Theory of linear difference equations Problem Solving
Brainstorming
Problem Based Learning
Homework
7. Week Mid-term exam

8. Week First order linear difference equations -Second order linear difference homogeneous equations and their solutions Problem Solving
Brainstorming
Problem Based Learning
Homework
9. Week Second order difference equations with variable coefficients Problem Solving
Brainstorming
Problem Based Learning
Homework
10. Week Higher order linear homogeneous difference equations with constant coefficients Problem Solving
Brainstorming
Problem Based Learning
Homework
11. Week The method of undetermined coefficients Problem Solving
Brainstorming
Problem Based Learning
Homework
12. Week The method of variation of constants Problem Solving
Brainstorming
Problem Based Learning
Homework
13. Week Nonlinear scalar difference equations Problem Solving
Brainstorming
Problem Based Learning
Homework
14. Week Some applications on difference equations Problem Solving
Brainstorming
Problem Based Learning
Homework

Sources Used in This Course
Recommended Sources
Agarwal, R.P. 2000, Difference Equations and Inequalities, Marcel Dekker, 970, New York.
Bereketoglu,H ve Kutay V. , 2012. Fark Denklemleri, Gazi Kitabevi, Ankara.
Elaydi, S. 1999. An ıntroduction to Difference Equations. Springer-Verlag, 428, New York .
Goldberg, S. 1986. Introduction to Difference equations with Illustrative examples from Economics, Psychology and Sociology . Dover, 260, New York.
Kelley, W.G. and Peterson, A.C. 1991. Difference Equations An Introduction with Applications. Academic , 403, New York .
Mickens, R. 1990. Difference Equations . Van Nostrand Reinhold, 448, New York.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 14 2
Homework 14 2
Midterm Exam 1 2
Time to prepare for Midterm Exam 1 30
Final Exam 1 2
Time to prepare for Final Exam 1 40
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information