PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ISY 528	HEURISTIC METHODS	3 + 0	2nd Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	The aim of this course is to examine heuristic methods used to solve combinatorial optimization problems in which the problem size is too big or separating to sub-problems is difficult and give near optimal solutions in a shorter time.
Course Content	In this course, the basic features of heuristic and meta-heuristic algorithms will be discussed and the constructive algorithms, local search algorithms, genetic algorithms, tabu search, simulated annealing, variable neighborhood search, ant colony optimization etc. will be examined.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	At the end of this course, students will learn basic concepts in the field of heuristic and meta-heuristic methods and will have the ability to apply these methods to real life problems.

COURSE'S CONTRIBUTION TO PROGRAM

Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	4	56
Assignments	2	15	30
Mid-terms	1	12	12
Final examination	1	25	25
Presentation / Seminar Preparation	2	15	30
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student