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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Chaos Theory & Its Applications MKM510 Elective Master's degree 1 Spring 8

Name of Lecturer(s)

Assistant Prof. Dr. Ramiz Gültekin AKAY

Learning Outcomes of the Course Unit

1) Knows and tells the history and evolution of Chaos Theory and nonlinear phenomena
2) Knows the properties of fractal geometry and makes the calculations of fractal dimension
3) Explains the applications of chaos theory, fractals and nonlinear phenomena in their disciplines
4) Makes different definitions of entropi
5) Analysis and investigates at least one of the application areas of chaos theory
6) Creates a fractal by using computer programming

Program Competencies-Learning Outcomes Relation

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

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

none

Course Contents

Introduction to chaos theory: Definition & History; Characteristics of chaos and examples from nature, Boltzmann equation and its linear solutions. İrreversibilities and irreversible thermodynamics, Nonlinearity and stability, Chaos theory: Mathematical aprroaches, fractal approach, fractal structures, percolation, pattern formation, self organizing structures, Application areas: Turbulence, phase transitions, gellation, polymers, biomaterials

Recommended or Required Reading

Planned Learning Activities and Teaching Methods



Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

50%

 

Number

Percentage

Semester Studies

Project

1

25%

Midterm Examination

1

50%

Quiz

1

25%

 

Contribution of Final Examination to Course Grade

50%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required