GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ADVANCED ROBOTICS/5611310
Course Title: ADVANCED ROBOTICS
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Mehmet Arif ADLI
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/arif.adli
 -- EMAIL(S) OF LECTURER(S)
  arif.adli@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Learn fundamental concepts of robotics
Learn coordinate transformations
Learn Denavit-Hartenberg notation and its applications
Learn to solve inverse kinematics of a robot manipulator
Design a trajectory for a robot manipulator
 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Introductions to Robotics and general concepts
2. Week  Translation and rotation in three dimensional space
3. Week  Homogeneous transformations
4. Week  Denavit-Hartenberg notation
5. Week  Orientaion with respect to fixed and moving reference frames
6. Week  Manipulator kinematics
7. Week  Inverse kinematics
8. Week  Midterm Examination
9. Week  Jacobian, Velocities and velocity transformations
10. Week  Static forces
11. Week  Manipulator dynamics
12. Week  Newton-Euler formulation
13. Week  Lagrangian formulation
14. Week  Trajectory generation
15. Week  Project Presentation
16. Week  Final Examination
 -- RECOMMENDED OR REQUIRED READING
  1. Introduction to Robotics: Mechanics and Control, J. J. Craig / Addison-Wesley 2. Foundations of Robotics, Analysis and Control, T. Yoshikawa, MIT Press 3. Fundamentals of Robotics, Analysis and Control, Robert J. Schilling, Prentice Hall, 4. Robot Analysis and Control, H. Asada and J.-J. E. Slotine, Wiley
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Drill - Practise
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
50
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
50
 Contribution of Final Examination to Overall Grade  
50
 -- 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
 Reading
14
3
42
 Searching in Internet and Library
14
3
42
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
5
4
20
 Presentation
1
4
4
 Mid-Term and Studying for Mid-Term
1
15
15
 Final and Studying for Final
1
15
15
 Other
0
 TOTAL WORKLOAD: 
180
 TOTAL WORKLOAD / 25: 
7.2
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of studyX
2Ability to complete and implement “limited or incomplete data” by using the scientific methods.X
3Ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to themX
4Ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or processX
5Gain comprehensive information on modern techniques, methods and their borders which are being applied to engineeringX
6Ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply processX
7Gain high level ability to define the required information and dataX
8Ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situationsX
9Systematic and clear verbal or written transfer of the process and results of studies at national and international environmentsX
10Aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcementX
11Aware of new and developing application of profession and ability to analyze and study on those applicationsX
12Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment