GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ADVANCED ROBOT TECHNOLOGIES II/5241330
Course Title: ADVANCED ROBOT TECHNOLOGIES II
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
After completing this course students are able to analyze basic, complex and advanced robotic systems, create a mathematical model, which makes the pr
Students attended this course are able to robot controller knows. Industrial Robots, Humanoid Robots and Robot Recognizes Medical robots.
Students attended this course are able to know scale systems, and basic of dynamic and static laws to be adapted to electromechanical systems.
Students attended this course are able to the advanced technology used in the robot knows the runs of the electric motor and high level position contr
Students attended this course are able to use object recognition, edge detection and high level balance system system.
Students attended this course are able to make a system that barcod read and face recognation apply to robots.

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week   History of robots and introduction to robots CNC machines and Robot using areas. Robot etics.
2. Week  Robot types and mechanisms in robots.
3. Week  Comparison of processors used in robots and
4. Week  Dynamic equation extraction, Equilibrium sensing and protection of equilibrium.
5. Week   Mathematical model of electromechanical motion systems
6. Week  Electric motors and drives used in robots, torque statements.
7. Week  Robot Dynamics, Simulation Modeling, and Simulation
8. Week  Color sensing, barcode reading for robots, finger track and face recognition, and decision systems. Midterm exam.
9. Week  Linear controller design for servo system
10. Week  Edge detection and sensing for robots, object sensing algoritm and programs,Remote sensing,control and decition programs.
11. Week  Robot control, applcation, research and simulation projects
12. Week  Robot application-simulation projects.
13. Week  Robot control, research and simulation projects presentations
14. Week  Projects presentations
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
1
10
 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
14
3
42
 Searching in Internet and Library
5
5
25
 Material Design and Implementation
2
15
30
 Report Preparing
1
5
5
 Preparing a Presentation
1
9
9
 Presentation
1
1
1
 Midterm Exam and Preperation for Midterm Exam
1
15
15
 Final Exam and Preperation for Final Exam
1
19
19
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
188
 TOTAL WORKLOAD / 25: 
7.52
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1To access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement.X
2To complete and implement limited or incomplete data by using the scientific methods. To stick knowledge of different disciplinarians togetherX
3To consolidate engineering problems, develop proper method to solve and apply innovative solutions.X
4To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or processX
5To have comprehensive information on modern techniques, methods and their borders which are being applied to engineeringX
6To design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process.X
7High level ability to define the required information, data and reach, assess.X
8To lead multi-disciplinary teams to take responsibility to define approaches for complex situations.X
9Systematic and clear verbal or written transfer of the process and results of studies at national and international environmentsX
10Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement.X
11Awareness at new and developing application of profession and ability to analyze and study on those applications.X
12To interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment.X
13Ability for effective oral and official communication skills in Turkish Language.X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Mahir DURSUN)
 -- WEB SITE(S) OF LECTURER(S)
   (http://w3.gazi.edu.tr/~mdursun)
 -- EMAIL(S) OF LECTURER(S)
   (mdursun@gazi.edu.tr)