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Course Description Course Name : Robot Dynamics and Control Course Code : CENG-566 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Spring (16 Weeks) ECTS : 6 Name of Lecturer(s) : Asst.Prof.Dr. RAMAZAN ÇOBAN Learning Outcomes of the Course : analyzes and designs Linear control of robot manipulators. uses nonlinear control of robot manipulators Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : To teach all the students to analyze and design Linear control of robot manipulators. Nonlinear control of robot manipulators and to design control systems according to the predetermined performance specifications. Course Contents : Robot dynamics. Linear control of robot manipulators. Nonlinear control of robot manipulators. Force control of robot manipulators. Language of Instruction : Turkish Work Place : classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Robot dynamics. Classical lecturing, question and answer 2 Robot dynamics. Classical lecturing, question and answer 3 Robot dynamics. Classical lecturing, question and answer 4 Linear control of robot manipulators Classical lecturing, question and answer 5 Linear control of robot manipulators Classical lecturing, question and answer 6 Linear control of robot manipulators Classical lecturing, question and answer 7 Nonlinear control of robot manipulators. Classical lecturing, question and answer 9 Nonlinear control of robot manipulators. Classical lecturing, question and answer 10 Nonlinear control of robot manipulators. Classical lecturing, question and answer 11 Force control of robot manipulators. Classical lecturing, question and answer 12 Force control of robot manipulators. Classical lecturing, question and answer 13 Force control of robot manipulators. Classical lecturing, question and answer 14 Force control of robot manipulators. Classical lecturing, question and answer   Required Course Resources Resource Type Resource Name Recommended Course Material(s)   : 1) Robot Kinematiği, Zafer Bingül, Serdar Küçük, Birsen Yayınevi. 2) Introduction to Robotics Mechanics and Control, John J. Craig, Pearson. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 75     Homeworks/Projects/Others 5 25 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Reaches wide and deep knowledge through scientific research in the field of computer engineering, evaluates, implements, and comments. 5 2 Describes and uses information hidden in limited or missing data in the field of computer engineering by using scientific methods and integrates it with information from various disciplines. 5 3 Follows new and emerging applications of computer engineering profession, if necessary, examines and learns them 5 4 Develops methods and applies innovative approaches in order to formulate and solve problems in computer engineering. 5 5 Proposes new and/or original ideas and methods in the field of computer engineering in developing innovative solutions for designing systems, components or processes. 3 6 Designs and implements analytical modeling and experimental research and solves the complex situations encountered in this process in the field of Computer Engineering 5 7 works in multi disciplinary teams and takes a leading role and responsibility. 4 8 Learns at least one foreign language at the European Language Portfolio B2 level to communicate orally and written 4 9 Presents his/her research findings systematically and clearly in oral and written forms in national and international meetings. 5 10 Describes social and environmental implications of engineering practice. 5 11 Considers social, scientific and ethical values in collection, interpretation and announcement of data. 5 12 Acquires a comprehensive knowledge about methods and tools of computer engineering and their limitations. 5 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 14 4 56 Assesment Related Works     Homeworks, Projects, Others 5 3 15     Mid-term Exams (Written, Oral, etc.) 1 14 14     Final Exam 1 14 14 Total Workload: 141 Total Workload / 25 (h): 5.64 ECTS Credit: 6