GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

INTELLIGENT OPTIMIZATION TECHNIQUES/5071329

Course Title:	INTELLIGENT OPTIMIZATION TECHNIQUES
Credits	3	ECTS	7.5
Course Semester	1	Type of The Course	Elective

COURSE INFORMATION

-- (CATALOG CONTENT)

-- (TEXTBOOK)

-- (SUPPLEMENTARY TEXTBOOK)

-- (PREREQUISITES AND CO-REQUISITES)

-- LANGUAGE OF INSTRUCTION

Turkish

-- COURSE OBJECTIVES

-- COURSE LEARNING OUTCOMES

Learning applying intelligent optimization techniques to complex engineering problems.
Learning ant algorithms
Learning simulated annealing
Learning tabu search
Learning genetic algorithms
Learning artificial neural networks

-- MODE OF DELIVERY

The mode of delivery of this course is face to face

--WEEKLY SCHEDULE
1. Week	Introduction to optimization
2. Week	Linear programming
3. Week	Classical optimization techniques
4. Week	Stochastic algorithms
5. Week	Stochastic algorithms
6. Week	Evolutionary algorithms
7. Week	Evolutionary algorithms
8. Week	Physical algorithms
9. Week	Physical algorithms
10. Week	Swarm algorithms
11. Week	Swarm algorithms
12. Week	Probabilistic algorithms
13. Week	Probabilistic algorithms
14. Week	Immune algorithms
15. Week	Artificial neural networks
16. Week	Artificial neural networks

-- TEACHING and LEARNING METHODS

-- ASSESSMENT CRITERIA

	Quantity	Total Weighting (%)
Midterm Exams	1	35
Assignment	6	25
Application	0	0
Projects	0	0
Practice	0	0
Quiz	0	0

Percent of In-term Studies		60
Percentage of Final Exam to Total Score		40

-- WORKLOAD

Activity	Total Number of Weeks	Duration (weekly hour)	Total Period Work Load
Weekly Theoretical Course Hours	14	3	42
Weekly Tutorial Hours	0	0	0
Reading Tasks	14	1	14
Searching in Internet and Library	14	1	14
Material Design and Implementation	0	0	0
Report Preparing	8	5	40
Preparing a Presentation	2	8	16
Presentation	2	1	2
Midterm Exam and Preperation for Midterm Exam	1	22	22
Final Exam and Preperation for Final Exam	1	38	38
Other (should be emphasized)	0	0	0
TOTAL WORKLOAD:			188
TOTAL WORKLOAD / 25:			7.52
Course Credit (ECTS):			7.5

-- COURSE'S CONTRIBUTION TO PROGRAM

NO	PROGRAM LEARNING OUTCOMES	1	2	3	4	5
1					X
2				X
3					X
4				X
5					X
6					X
7						X
8						X
9						X
10						X
11					X
12					X

-- NAME OF LECTURER(S)

(Prof. Dr. M. Ali Akcayol)

-- WEB SITE(S) OF LECTURER(S)

(http://w3.gazi.edu.tr/~akcayol/)

-- EMAIL(S) OF LECTURER(S)

(akcayol@gazi.edu.tr)

Gazi University

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GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR