GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ARTIFICIAL INTELLIGENCE AND INSTRUCTIONAL APPLICATIONS/4960211
Course Title: ARTIFICIAL INTELLIGENCE AND INSTRUCTIONAL APPLICATIONS
Credits 3 ECTS 8
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Türkçe
 -- NAME OF LECTURER(S)
  Assoc.Prof. Tolga GÜYER
 -- WEB SITE(S) OF LECTURER(S)
  www.tolgaguyer.com
 -- EMAIL(S) OF LECTURER(S)
  guyer@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Explain basic concepts and principles of artificial intelligence.
Explain the applications of the artificial intelligence and expert systems to the instructional software development.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  Basic symbolic logic knowledge
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Fundamentals of the artificial intelligence
2. Week  Fundamentals of the artificial intelligence
3. Week  Fundamentals of the artificial intelligence
4. Week  Fundamentals of the artificial intelligence
5. Week  Problems of the artificial intelligence
6. Week  Problems of the artificial intelligence
7. Week  Problems of the artificial intelligence
8. Week  Problems of the artificial intelligence
9. Week  Problems of the artificial intelligence
10. Week  Expert systems
11. Week  Expert systems
12. Week  Expert systems
13. Week  Some educational studies
14. Week  Some educational studies
15. Week  Some educational studies
16. Week  Some educational studies
 -- RECOMMENDED OR REQUIRED READING
  1. Artificial Intelligence – A Modern Approach, Russel, S. & Norwig, P., Prentice-Hall, 2003 2. Yapay Zeka, Vasif v. Nabiyev, Seçkin Yayıncılık, 2003.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Anlatım, Soru-Yanıt, Gösterme, Uygulama - Alıştırma
 -- WORK PLACEMENT(S)
  -
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
1
20
 Exercises
1
20
 Projects
1
20
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
0
0
 Reading
12
2
24
 Searching in Internet and Library
12
3
36
 Designing and Applying Materials
8
1
8
 Preparing Reports
8
3
24
 Preparing Presentation
6
2
12
 Presentation
1
1
1
 Mid-Term and Studying for Mid-Term
8
3
24
 Final and Studying for Final
12
2
24
 Other
0
0
0
 TOTAL WORKLOAD: 
195
 TOTAL WORKLOAD / 25: 
7.8
 ECTS: 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5
6X
7
8X
9X
10
11
12X
13
14
15
16
17