GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ADVANCED ROBOT TECHNOLOGIES I/5281330
Course Title: ADVANCED ROBOT TECHNOLOGIES I
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
Students attended this course are able to know using area of robots.
Students attended this course are able to describe mathematical model of electromechanic systems.
Students attended this course are able to apply position and object sensing systems.
Students attended this course are able to design motor drivers systems.
Students attended this course are able to apply control laws to electromechanical systems.
Students attended this course are able to know colour and edge detection technics.
Students taking this course will make basic robot designs.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face.
 --WEEKLY SCHEDULE
1. Week  Introduction to Robotics.
2. Week  The using areas of robots and robot types and general concepts
3. Week   Industrial robots, CNC routers and CNC Plasmas,The location, orientation and coordinate system for the identification and the overall conversion
4. Week  Forward Kinematics, Inverse Kinematics
5. Week   Jacobians, Trajectory Planning and Design of Work Space
6. Week  To obtain of mathematic models of electromechanically systems
7. Week  Control theories and adaptation of these theories to electrometric systems.
8. Week  Creating motor drive circuits. Midterm Exam
9. Week  Robot Dynamics and Dynamic Model of Robots
10. Week  Creating a mathematical model of robots
11. Week  Creating a simulation model of a robot.
12. Week  Linear control of Robots
13. Week  Control of Location Tracking System
14. Week  Self-adaptive control and adaptation of robots.
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
0
0
 Reading Tasks
14
3
42
 Searching in Internet and Library
10
2
20
 Material Design and Implementation
4
7
28
 Report Preparing
2
6
12
 Preparing a Presentation
1
10
10
 Presentation
1
2
2
 Midterm Exam and Preperation for Midterm Exam
1
16
16
 Final Exam and Preperation for Final Exam
1
16
16
 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/tr-1.htm)
 -- EMAIL(S) OF LECTURER(S)
   (mdursun@gazi.edu.tr)