Akademik Dersler - Tanıtım


Code - Course Title	SHA626 - Genetic Algorithms and Applications of Control Systems
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ YASEMİN IŞIK
Mode of Delivery	face to face
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	Not available
Required or Recommended Resources	Genetic Algorithms in Search Optimization and Machine Learning by DAVID E. Goldberg
Recommended Reading List	Genetik Algoritmalar ve Uygulama Alanları, G. Emel; E. Taşkın, Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt XXI, Sayı 1, 2002,129-152
Assessment methods and criteria	2 Midterm1 Final 1 Homework
Work Placement	Not Applicable
Sustainability Development Goals

Weeks	Topics
Week - 1	Introduction to genetic algorithm
Week - 2	Traditional optimization techniques
Week - 3	The difference of the genetic algorithm
Week - 4	Simple genetic algorithm
Week - 5	The theoretical fundamentals of the genetic algoritms
Week - 6	The theoretical fundamentals of the genetic algoritms
Week - 7	Fundamental theorems
Week - 8	Genetic operations: reproduction, crossover, mutation
Week - 9	To code of genetic algorithm
Week - 10	To code of genetic algorithm
Week - 11	To code of genetic algorithm
Week - 12	The applications of genetic algorithm
Week - 13	The applications of genetic algorithm
Week - 14	The applications of genetic algorithm

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0