TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	Professor Berna Dengiz Instructor Ayşenur Yurtsever
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Have an ability to apply knowledge of mathematics, science, and engineering 2) Have an ability to design and conduct experiments, as well as to analyze and interpret data 3) Have an ability to design a system, component, or process to meet desired needs within realistic 4) Have an ability to identify, formulate, and solve engineering problems 5) Have an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	Operational Research
COURSE DEFINITION	In this course, heuristic algorithms for solving large or non-linear problems, when the analytical solution methods are not sufficient, are discussed. In this context, common properties of heuristic methods are studied and methods such as random search, hill climbing, simulated annealing, genetic algorithms and tabu search are examined.
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction to metaheuristics 2nd Week Solution based metaheuristics 3rd Week Regenerative metaheuristics 4th Week Regenerative metaheuristics 5th Week Simulated Annealing Algorithm 6th Week Simulated Annealing Algorithm 7th Week Tabu Search Algortihm 8th Week Tabu Search Algortihm 9th Week Midterm 10th Week Genetic Algorithm 11th Week Genetic Algorithm 12th Week Genetic Algorithm 13th Week Evaluating the performance of the metaheuristics 14th Week Project presentation
RECOMENDED OR REQUIRED READING	Rayward-Smith, V.J., Osman, I.H., Reeves, C.R.(Editors), (1996), Modern Heuristic Search Methods, Wiley.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Problem Solving,Presentation
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 25 Assignment 1 10 Quiz 4 15 Practice 1 25 Total(%) 75 Contribution of In-term Studies to Overall Grade(%) 75 Contribution of Final Examination to Overall Grade(%) 25 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz 4 2 8 Individual or group work 14 2 28 Preparation for Final exam 1 20 20 Course hours 14 4 56 Preparation for Midterm exam 1 20 20 Laboratory (including preparation) Final exam 1 2 2 Homework 2 8 16 Total Workload 152 Total Workload / 30 5,06 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No