GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ARTIFICIAL INTELLGENCE LEARNING MODELS/5261333
Course Title: ARTIFICIAL INTELLGENCE LEARNING MODELS
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
Selecting and implementing the appropriate artificial intelligence learning model for engineering problems solving, gaining the ability to analyze and

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Introduction to Artificial Intelligence Learning Models
2. Week  Evaluation of Learning Model Performance
3. Week  Instance-Based Learning
4. Week  Probabilistic Learning
5. Week  Decision Tree Based Learning
6. Week  Regression Based Learning
7. Week  Artificial Neural Networks Based Learning
8. Week  Midterm Exam, Çekirdek Tabanlı Öğrenme
9. Week  Kernel Based Learning
10. Week  Distance-Based Neural Networks Learning
11. Week  Clustering Based Learning
12. Week  Association Rule Based Learning
13. Week  Project Presentations
14. Week  Project Presentations
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
0
0
 Application
0
0
 Projects
1
20
 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
10
4
40
 Searching in Internet and Library
10
4
40
 Material Design and Implementation
7
4
28
 Report Preparing
0
 Preparing a Presentation
3
5
15
 Presentation
1
1
1
 Midterm Exam and Preperation for Midterm Exam
1
10
10
 Final Exam and Preperation for Final Exam
1
10
10
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
186
 TOTAL WORKLOAD / 25: 
7.44
 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
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Dr. Hüseyin POLAT)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/polath)
 -- EMAIL(S) OF LECTURER(S)
   (polath@gazi.edu.tr)