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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Fuzzy Differential Equations MAT628 Elective Doctorate degree 1 Fall 8

Name of Lecturer(s)

Associate Prof. Dr. Mine Aylin BAYRAK

Learning Outcomes of the Course Unit

1) Reveal the difference between of differential equations and fuzzy differential equations.
2) Implement analytical and numerical solution methods and using basic definitions, concepts, theorems of fuzzy differential equations.
3) Apply to various mathematical problems of fuzzy differential equations.
4) Apply to engineering problems of fuzzy differential equations.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7
Learning Outcomes
1 No relation No relation No relation No relation No relation No relation No relation
2 No relation No relation No relation No relation No relation No relation No relation
3 No relation No relation No relation No relation No relation No relation No relation
4 No relation No relation No relation No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Differential equations

Course Contents

Preliminaries of Fuzzy Set Theory, n-th Order Fuzzy Differential Equations, Fractional Initial Value Problem, Fuzzy Fractional Initial Value Problem, Analytical Methods of Fuzzy Differential Equations, Numerical Methods for Fuzzy Ordinary and Partial Differential Equations , Application of Numerical Methods to Fuzzy Ordinary Differential Equations, Fuzzy Structural Problems, Fuzzy Inverse Heat Conduction Problems, The Fuzzy Fractional Klein–Gordon Equation.

Weekly Schedule

1) Preliminaries of Fuzzy Set Theory.
2) n-th Order Fuzzy Differential Equations.
3) Fractional Initial Value Problem.
4) Fuzzy Fractional Initial Value Problem.
5) Analytical Methods of Fuzzy Differential Equations.
6) Analytical Methods of Fuzzy Differential Equations.
7) Numerical Methods for Fuzzy Ordinary and Partial Differential Equations.
8) Numerical Methods for Fuzzy Ordinary and Partial Differential Equations.
9) Numerical Methods for Fuzzy Ordinary and Partial Differential Equations.
10) Application of Numerical Methods to Fuzzy Ordinary Differential Equations
11) Application of Numerical Methods to Fuzzy Ordinary Differential Equations
12) Fuzzy Structural Problems.
13) Fuzzy Inverse Heat Conduction Problems.
14) Fuzzy Fractional Klein–Gordon Equation.
15) exam
16) exam

Recommended or Required Reading

Planned Learning Activities and Teaching Methods

1) Discussion
2) Drill and Practice
3) Group Study
4) Brain Storming
5) Problem Solving


Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

60%

 

Number

Percentage

Semester Studies

Midterm Examination

1

70%

Quiz

1

30%

 

Contribution of Final Examination to Course Grade

40%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required