GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ARTIFICIAL INTELLIGENCE TECHNIQUES/ESM-355
Course Title: ARTIFICIAL INTELLIGENCE TECHNIQUES
Credits 3 ECTS 4
Course Semester 5 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
Interpretation of the concept of artificial intelligence
To have information about application areas of artificial neural networks
Application of artificial intelligence techniques in solving engineering problems

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Concept of Artificial Intelligence and Historical Development
2. Week  Fuzzy logic concept.
3. Week  Fuzzy logic theory, comparison with classical logic
4. Week  Fuzzy relations, Sharp and fuzzy clusters,
5. Week  Establishment of rule base and Fuzzy inference.
6. Week  Fuzzy logic based sample applications
7. Week  Artificial Neural Networks
8. Week  Advanced and Feedback Networks
9. Week  Neural Fuzzy Logic
10. Week  Search algorithms and Genetic Algorithm
11. Week  Basic Concepts in Genetic Algorithms.
12. Week  Solution space, chromosome structure, choice of fitness function
13. Week   Concepts of mutation and crossover, applications in the field of mutation types, advanced topics.
14. Week  Genetic algorithm based sample applications
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
60
 Assignment
0
0
 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
 Reading Tasks
7
2
14
 Searching in Internet and Library
10
1
10
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
8
3
24
 Final Exam and Preperation for Final Exam
10
2
20
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
110
 TOTAL WORKLOAD / 25: 
4.4
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Basic Science, Basic Engineering and Energy Systems Engineering skills in the field of engineering related to the accumulation of knowledge and ability to apply this knowledge.X
2Ability to identify, define, formulate and solve complex engineering problems; Selecting and applying appropriate analysis and modeling methods for this purpose.X
3The ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; The ability to apply modern design methods for this purpose.X
4Ability to develop, select and use modern techniques and tools necessary for the applications of the Department of Energy Systems Engineering; The ability to use information technologies effectively.X
5Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examining problems related to Energy Systems Engineering.X
6Ability to work individually and in teams in the field of Energy Systems Engineering.X
7Effective communication and reporting skills in Turkish verbal and written, at least one foreign language knowledge.X
8Awareness of the necessity of life-long learning; Access to knowledge, ability to follow developments in science and technology, and constant self-renewal.X
9Professional and ethical responsibility.X
10Information on project management and practices in business life such as risk management and change management; Awareness of entrepreneurship, innovation and sustainable development.X
11Information on the effects of the applications of the Department of Energy Systems Engineering on health, energy, environment and safety in the universal and social dimensions and the problems of the age; Awareness of the legal consequences of Energy Systems Engineering solutions.X
 -- NAME OF LECTURER(S)
   (Doç. Dr. Fatih Emre BORAN )
 -- WEB SITE(S) OF LECTURER(S)
   (http://www.websitem.gazi.edu.tr/site/emreboran)
 -- EMAIL(S) OF LECTURER(S)
   ((feboran@gazi.edu.tr))