GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ARTIFICIAL INTELLIGENCE TECHNOLOGY ON MACHINERY AND MANUFACTURING ENG./5171336
Course Title: ARTIFICIAL INTELLIGENCE TECHNOLOGY ON MACHINERY AND MANUFACTURING ENG.
Credits 3 ECTS 7.5
Course Semester 2 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
To known intelligince and types.
To known Artificial Intelligince and learn the branches of science that AI contains.
To have knowledge about the AI's techniques and application areas.
To known Expert Sytems.
To known Image Processing.
To known Voice Recognation.
To known Robotics.
To known ANN.
To known shell and computer programming languages for AI techniques. To use a shell programs.
To Prepare and present a project
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Human and machine, Artificial Intelligence (Artificial Intelligence), the definition, history, hosted within the study areas, and in the world of AI.
2. Week  Approaches to AI systems, Mathematical, Physical, Psychological, Philosophical. Artificial Intelligence techniques and their applications, Natural Lan
3. Week  Knowledge base systems (Reasoning, inference Engine), Expert systems
4. Week  Voice Recognition,
5. Week  Image processing, matching
6. Week  ANN (Arficial Neural Network)
7. Week  Robotics
8. Week  MIDTERM EXAM
9. Week  Fuzzy Logic, Genetic Algorithm
10. Week  Computer programming languages and Shell programs for AI
11. Week  Using the shell program.
12. Week  Preparing the project and searching literature
13. Week  Preparing the project and searching literature
14. Week  Representations of final projects and related discussions
15. Week  Representations of final projects and related discussions
16. Week  FINAL EXAM
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
25
 Assignment
0
0
 Application
0
0
 Projects
1
15
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- 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
6
3
18
 Searching in Internet and Library
6
3
18
 Material Design and Implementation
6
4
24
 Report Preparing
6
3
18
 Preparing a Presentation
5
4
20
 Presentation
3
3
9
 Midterm Exam and Preperation for Midterm Exam
4
3
12
 Final Exam and Preperation for Final Exam
5
3
15
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
176
 TOTAL WORKLOAD / 25: 
7.04
 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
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Dr. Yunus Kayır)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/ykayir)
 -- EMAIL(S) OF LECTURER(S)
   (ykayir@gazi.edu.tr)