GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ARTIFICIAL INTELLIGENCE/EE-450
Course Title: ARTIFICIAL INTELLIGENCE
Credits 3 ECTS 4
Semester 8 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
   Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Cemal YILMAZ, Assoc.Prof. Dr.Nihat ÖZTÜRK
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/cemal, http://websitem.gazi.edu.tr/site/ozturk
 -- EMAIL(S) OF LECTURER(S)
  cemal@gazi.edu.tr, ozturk@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Learn analysis methods of artifical intelligence, use these methods to solve mathematics, science and engineering problems.
Gaining skills of modelling and solving problems
Improve working and learning skill as indivitual and collective






 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Concept of the Artificial intelligence (AI) and The history of AI
2. Week  Concept of the fuzzy logic.
3. Week  Relations of fuzzy, Crisp and fuzzy cluster, Fuzzfication
4. Week  Construction of rule base and fuzzy inference, Quiz
5. Week  Fuzzy logic-based examples
6. Week  Artificial Neural Networks
7. Week  Feedforward and Fedback Networks
8. Week  Mid-term exam
9. Week  Neural- Fuzy Logic, Quiz
10. Week  Search algorithms and Genetic algortims
11. Week  Main principles of Genetic algoritms
12. Week  The solution space, chromosome structure, choice of firness function.
13. Week  Mutation and crossing concepts, kinds of the mutation.
14. Week  Genetic algoritm based examples.
15. Week  
16. Week  
 -- RECOMMENDED OR REQUIRED READING
  1. Çetin Elmas, “Yapay Zeka” Seçkin Yayıncılık, 2007. 2. Çetin Elmas, “Yapay Sinir Ağları (Kuram Mimari Uygulama)” Seçkin Yayıncılık, 2003. 3. Çetin Elmas, “Bulanık Mantık Denetleyiciler” Seçkin Yayıncılık, 2003. 4. Stuart Russell, Peter Norvig; “Artificial Intelligence A Modern Approach”, Prentice-Hall, Inc., 1995. 5 Ivan Bratko; “Prolog programming for Artificial Intelligence”, Addison Wesley Publisher limited, 2001.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
25
 Assignment
2
15
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
2
10
 Contribution of In-term Studies to Overall Grade  
50
 Contribution of Final Examination to Overall Grade  
50
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
15
3
45
 Practising Hours of Course Per Week
0
 Reading
3
2
6
 Searching in Internet and Library
6
3
18
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
1
4
4
 Presentation
1
2
2
 Mid-Term and Studying for Mid-Term
2
5
10
 Final and Studying for Final
3
5
15
 Other
0
 TOTAL WORKLOAD: 
100
 TOTAL WORKLOAD / 25: 
4
 ECTS: 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Identifying and defining scientific problems in Electrical and Electronic EngineeringX
2Modeling and scientific problems solving in the field of engineering skills acquisition.X
3An electrical system analysis and the components of its, design skills; in this direction acquire the ability to apply modern design methods.X
4Modern techniques and tools necessary for engineering applications with the ability to use effective use of information technology, experiment design, implementation, data collection, analyzing and interpreting skills to obtain results.X
5To know access method to information and for this purpose the literature to do research, databases and other information resources the ability to use, disciplinary working groups to adapt to in the community Ability to work effectively and confidence to take responsibility, Turkish verbal / written communication skills and at least one foreign language skills have .X
6Knowledge of professional and ethical responsibility, project management, field applications, employee health, environment and safety conscious of; awareness about the legal implications of engineering applications having.X
7Acquire awareness of lifelong learning; scientific and technological developments have monitoring and self-renewal ability.X
8Be aware of the effects engineering solutions and applications for our country and the benefit of mankind, to know of the social dimension of work.X
9Entrepreneurial and innovative approach has to be one active.X
10Project planning and to disseminate the project results.X