Akademik Dersler - Tanıtım


Code - Course Title	RYL513 - Numerical Methods in Optimization
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ MEHMET FİDAN
Mode of Delivery	Face to face
Prerequisites	None
Courses Recomended	None
Recommended Reading List	Multiobjective Optimization: Interactive and Evolutionary Approaches, Editors: Jürgen Branke , Kalyanmoy Deb, Kaisa Miettinen, Roman Slowinski
Assessment methods and criteria	2 Midterms, 2 Homeworks, 1 Project, 1 Final Exam
Work Placement	None
Sustainability Development Goals

Weeks	Topics
Week - 1	Introduction to Numerical Methods
Week - 2	Fundamental Concepts in Linear Algebra
Week - 3	Introduction to Nonlinear Equations
Week - 4	Iterative Methods for Solution of Nonlinear Problems
Week - 5	Interpolation
Week - 6	Various Solutions of Differential Equations: Euler Method, Runge-Kutta Method, Adams Method
Week - 7	General Definition of An Optimization Problem
Week - 8	Simplex Method
Week - 9	Gradient Methods
Week - 10	Constraint Optimization Problems
Week - 11	Heuristic Methods 1: Genetic Algorithm
Week - 12	Heuristic Methods 2: Particle Swarm Optimization
Week - 13	Heuristic Methods 3: Tabu Search
Week - 14	Heuristic Methods 4: Simmulated Annealing

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	40
Final Exam	1	60
Toplam (%)		100