GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ARTIFCAL INTELLIGENTS APPLICATIONS IN ELECTRICAL AND ELECTRONICS/5111330
Course Title: ARTIFCAL INTELLIGENTS APPLICATIONS IN ELECTRICAL AND ELECTRONICS
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
Know the concepts and types of artificial intelligence,
Comprehend artificial intelligence techniques and artificial intelligence design principles.
Can design artificial intelligence.
Know the applications of artificial intelligence.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Natural and artificial intelligence.
2. Week  Information Modeling
3. Week  Heuristic problem solving
4. Week  Learning and artificial intelligence techniques
5. Week  Learning and artificial intelligence techniques
6. Week  Electrical and electronic applications, the use of artificial intelligence techniques
7. Week  Electrical and electronic applications, the use of artificial intelligence techniques
8. Week  Electrical and electronic applications, the use of artificial intelligence techniques, Midterm exam
9. Week  New-generation artificial intelligence techniques
10. Week  New-generation artificial intelligence techniques
11. Week  Project presentation and analysis
12. Week  Project presentation and analysis
13. Week  Project presentation and analysis
14. Week  Project presentation and analysis
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
0
0
 Application
0
0
 Projects
1
30
 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
14
3
42
 Searching in Internet and Library
10
4
40
 Material Design and Implementation
5
2
10
 Report Preparing
3
3
9
 Preparing a Presentation
3
5
15
 Presentation
4
3
12
 Midterm Exam and Preperation for Midterm Exam
1
15
15
 Final Exam and Preperation for Final Exam
1
15
15
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
200
 TOTAL WORKLOAD / 25: 
8
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
11X
12X
13X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Cemal YILMAZ , Prof. Dr. Çetin ELMAS , Prof. Dr. Nihat ÖZTÜRK , Prof. Dr. Ömer Faruk BAY)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/cemal)
 -- EMAIL(S) OF LECTURER(S)
   (cemal@gazi.edu.tr , celmas@gazi.edu.tr , ozturk@gazi.edu.tr , ofbay@gazi.edu.tr )