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Course Description Course Name : Intelligent Robotics II Course Code : EE-704 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. CABBAR VEYSELBAYSAL Learning Outcomes of the Course : Knows trajectory and path planning Knows localization and Mapping. Knows Robot vision Knows Bio-inspired robot control Knows analysis of humanoid robots Knows human robot interfaces and interaction. Knows social and rehabilitation robotics Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Main objective of the "Intelligent Robotics" course is to teach the advanced methods (state-of the art) which are needed to design and produce autonomous , flexible , dexterous and intelligent robots, including use of the methods in various applications. It is the second half of a two semester course. Course Contents : Trajectory Planning. Path planning. Localization and Mapping. Robot vision. Bio-inspired robot control. Introduction to humanoid robots. Kinematic and dynamic analysis of humanoid robots. Bi-pedal walking, posture and stability control. Human robot interaction and social robotics.Rehabilitation robotics. Language of Instruction : English Work Place : Graduate Lecture room of the EE. Dept.   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Trajectory Planning Study of reference materials Lecture in classroom 2 Path planning. Localization and Mapping Study of reference materials Lecture in classroom 3 Robot vision Study of reference materials Lecture in classroom 4 Robot vision Study of reference materials Lecture in classroom 5 Bio-inspired robot control. Study of reference materials Lecture in classroom 6 Introduction to humanoid robots. Study of reference materials Lecture in classroom 7 Kinematic and dynamic analysis of humanoid robots. Study of reference materials Lecture in classroom 8 Kinematic and dynamic analysis of humanoid robots. Study of reference materials Lecture in classroom 9 Midterm Exam Study of reference materials Written Exam 10 Bi-pedal walking, posture and stability control. Study of reference materials Lecture in classroom 11 Bi-pedal walking, posture and stability control. Study of reference materials Lecture in classroom 12 Human robot interaction and social robotics Study of reference materials Lecture in classroom 13 Human robot interaction and social robotics Study of reference materials Lecture in classroom 14 Rehabilitation robotics. Study of reference materials Lecture in classroom 15 Rehabilitation robotics. Study of reference materials Lecture in classroom 16/17 Student project presentations Project Presentation Preparation Presentation in class   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Choi B., “Humanoid Robots”, 2009, Intech.  Lecture Slides and Notes  Bekey G., “Autonomous Robots”, MIT Press.,2005  Arkin R.,”Behavior Based Robotics”,MIT Press.,1998  Pina Filho A. C., “Humanoid Robots: New Developments”, 2007, Intech. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 50     Homeworks/Projects/Others 4 50 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 Communicates with people in an appropriate language and style. 1 2 Specializes by furthering his knowledge level at least in one of the basic subfields of electiral-electronic engineering. 4 3 Grasps the integrity formed by the topics involved in the field of specialization. 4 4 Grasps and follows the existing literature in the field of specialization. 5 5 Comprehends the interdisciplinary interaction of his field with other fields. 4 6 Has the aptitude to pursue theoretical and experimental work. 4 7 Forms a scientific text by compiling the knowledge obtained from research. 4 8 Works in a programmed manner within the framework set by the advisor on the thesis topic, in accordance with the logical integrity required by this topic. 3 9 Performs a literature search in scientific databases; in particular, to scan the databases in an appropriate manner, to list and categorize the listed items. 5 10 Has English capability at a level adequate to read and understand a scientific text in his field of specialization, written in English. 3 11 Compiles his/her knowledge in his/her field of specialization. in a presentation format, and presents in a clear and effective way. 3 12 Writes a computer code aimed at a specific purpose, in general, and related with his/her field of specialization, in particular 3 13 Pursues research ın new topics based on his/her existing research experıence. 2 14 Gives guidance in environments where problems related with his/her field need to be solved, and takes initiative. 2 15 Develops and evaluates projects, policies and processes in his field of specialization. 2 * 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 3 42 Assesment Related Works     Homeworks, Projects, Others 4 15 60     Mid-term Exams (Written, Oral, etc.) 1 6 6     Final Exam 1 6 6 Total Workload: 156 Total Workload / 25 (h): 6.24 ECTS Credit: 6