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THIRD CYCLE - DOCTORATE DEGREE
THE GRADUATE SCHOOL OF SOCIAL SCIENCES
BUSINESS MANAGEMENT DEPARTMENT
2741 BUSINESS ADMINISTRATION PhD
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
ISY 658
META-HEURISTIC METHODS
3 + 0
2nd Semester
7,5
COURSE DESCRIPTION
Course Level
Doctorate Degree
Course Type
Elective
Course Objective
The aim of this course is to examine meta-heuristic methods through theoretical and real-life applications. In this course, meta-heuristics methods and their applications will be presented.
Course Content
In this course, Various meta-heuristic methods such as Genetic Algorithm, Tabu Search, Simulated Annealing, Ant Colony Optimization, Particle Swarm Optimization, Variable Neighborhood Search and Scatter Search are defined. In addition, these methods will be discussed in real life problems.
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
To aid the students to learn the basic principles of meta-heuristic methods.
2
To enable students to solve complex optimization problems with meta-heuristic method.
3
To enable students to make research on meta-heuristic methods.
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
LO 001
LO 002
LO 003
Sub Total
Contribution
0
0
0
0
0
0
0
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
14
3
42
Mid-terms
1
10
10
Final examination
1
15
15
Report / Project
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
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes