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Course Description Course Name : Controller Implementation II Course Code : EE-676 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Spring (16 Weeks) ECTS : 6 Name of Lecturer(s) : Assoc.Prof.Dr. İLYAS EKER Learning Outcomes of the Course : Knows open and closed loop control Knows linear and nonlinear systems Designs nonlinear controllers Applies linear and nonlinear controllers Knows controller application using computers Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : To provide information about Closed-loop controller, controller design, experimental and endustrial applications to students Course Contents : Controllers, linear and nonlinear control, minimum variance (mv) control, sliding mode control,generalized mv control, neural network control, experimental applications. Language of Instruction : English Work Place : Classroom of Electrical and Electronic Engineering Department (E1-E7) Base Level and laboratory   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction and content Lecture 2 Open and closed-loop operation: Basic features Review of the previous information Lecture 3 Controllers Review of the previous information Lecture 4 Linear and nonlinear control Review of the previous information Lecture 5 Minimum variance control Review of the previous information Lecture 6 Sliding mode control Review of the previous information Lecture 7 Generalized minimum variance control Review of the previous information Lecture 8 Mid-term Examination Written examination 9 Neural network control Review of the previous information Lecture 10 Pole placement control Review of the previous information Lecture 11 Controller designs Review of the previous information Lecture 12 Controller implementations Review of the previous information Lecture 13 PID controller implementation Review of the previous information Lecture 14 Fuzzy logic control applications Review of the previous information Lecture 15 Experimental applications Review of the previous information Lecture 16/17 Final examnination Written examination   Required Course Resources Resource Type Resource Name Recommended Course Material(s)   Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 70     Homeworks/Projects/Others 8 30 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. 3 3 Grasps the integrity formed by the topics involved in the field of specialization. 3 4 Grasps and follows the existing literature in the field of specialization. 3 5 Comprehends the interdisciplinary interaction of his field with other fields. 3 6 Has the aptitude to pursue theoretical and experimental work. 3 7 Forms a scientific text by compiling the knowledge obtained from research. 3 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. 2 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. 3 10 Has English capability at a level adequate to read and understand a scientific text in his field of specialization, written in English. 1 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. 3 14 Gives guidance in environments where problems related with his/her field need to be solved, and takes initiative. 3 15 Develops and evaluates projects, policies and processes in his field of specialization. 3 * 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 8 7 56     Mid-term Exams (Written, Oral, etc.) 1 5 5     Final Exam 1 5 5 Total Workload: 150 Total Workload / 25 (h): 6 ECTS Credit: 6