Information Package / Course Catalogue
| Psychology | |||||
| Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
ECTS Course Information Package
| School/Faculty/Institute | Faculty of Engineering | ||||
| Course Code | EE 303 | ||||
| Course Title in English | Systems and Control | ||||
| Course Title in Turkish | Sistemler ve Kontrol | ||||
| Language of Instruction | EN | ||||
| Type of Course | Flipped Classroom,Other | ||||
| Level of Course | Introductory | ||||
| Semester | Fall | ||||
| Contact Hours per Week |
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| Estimated Student Workload | hours per semester | ||||
| Number of Credits | 6 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites |
EE 204 - Signals and Systems EE 201 - Circuit Analysis I MATH 213 - Differential Equations |
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| Co-requisites | None | ||||
| Expected Prior Knowledge | Prior knowledge in differential and integral calculus, Laplace Transformations, system analysis, circuit analysis and MATLAB is expected. | ||||
| Registration Restrictions | Only Undergraduate Students | ||||
| Overall Educational Objective | To learn how to analyze and design control systems | ||||
| Course Description | This course provides a comprehensive understanding of control systems and the mathematical modeling of control systems. The following topics are covered: Transfer function and state space methods, mathematical modeling of mechanical & electrical systems, transient and steady state response analyses, effects of proportional, integral and derivative controllers, control systems analysis and design by the Root Locus method, control systems analysis and design by the frequency response method, controller design with PID controllers, control systems design in state Space and fundamentals of digital control. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) identify, formulate and solve the control system problems; 2) comprehend the mathematical modeling of control systems; 3) design control systems; 4) apply and demonstrate knowledge on control systems using modern engineering tools. |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| 1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | ||||
| 2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | ||||
| 3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | ||||
| 4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | ||||
| 5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | ||||
| 6) Internalization and dissemination of professional ethical standards. | ||||
| 7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | ||||
| 8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | ||||
| 9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | ||||
| 10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | ||||
| 11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | ||||
| 12) Ability to acquire knowledge independently, and to plan one’s own learning. | ||||
| 13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
| 2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
| 3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
| 4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
| 5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
| 6) | Internalization and dissemination of professional ethical standards. | N | |
| 7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
| 8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
| 9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
| 11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
| 12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
| Prepared by and Date | YUSUF AYDIN , October 2024 |
| Course Coordinator | YUSUF AYDIN |
| Semester | Fall |
| Name of Instructor | Asst. Prof. Dr. YUSUF AYDIN |
Course Contents
| Week | Subject |
| 1) | Introduction to Systems & Control |
| 2) | Mathematical Modeling of Control Systems |
| 3) | Mathematical Modeling of Mechanical & Electrical Systems |
| 4) | Geri beslemeli kontrol sistemleri |
| 5) | Feedback Control Systems |
| 6) | Transient and Steady-State Response Analysis |
| 7) | The Performance of Feedback Control Systems |
| 8) | Routh’s Stability Criterion, Effects of Integral and Derivative Control Actions on System Performance |
| 9) | Control System Analysis and Design by the Root Locus Method with the aid of MATLAB |
| 10) | Control System Analysis and Design by the Root Locus Method with the aid of MATLAB |
| 11) | PID Controllers and Design of PID Controllers with the aid of MATLAB |
| 12) | Control System Analysis by the Frequency Response Method with the aid of MATLAB |
| 13) | Control System Analysis by the Frequency Response Method |
| 14) | Fundamentals of State Space Representation and Digital Control |
| 15) | Final Exam/Project/Presentation Period |
| 16) | Final Exam/Project/Presentation Period |
| Required/Recommended Readings | 1. Modern Control Systems, R.C.Dorf and R. H. Bishop, Pearson Education, Global Edition,13th edition, 2017, ISBN 1-292-15297-4 2. Modern Control Engineering, K.Ogata, Pearson Education, International Edition, 5th edition, 2010, ISBN 0-13-713337-5 | ||||||||||||||||||||||||
| Teaching Methods | Contact hours using “Flipped Classroom” as an active learning technique | ||||||||||||||||||||||||
| Homework and Projects | There will be homework, preworks, and class practices containing questions related to lecture content, and an optional project. | ||||||||||||||||||||||||
| Laboratory Work | Students will do practice by building physical hardware and conducting simulations through Simulink. | ||||||||||||||||||||||||
| Computer Use | Students will use MATLAB in the lecture and homework assignments. | ||||||||||||||||||||||||
| Other Activities | None | ||||||||||||||||||||||||
| Assessment Methods |
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| Course Administration |
Instructor’s office and phone number: 5th floor, A564, 0 212 395 3600 Office hours: Mondays, 14:00 – 15:00, By Appointment email address: aydiny@mef.edu.tr Rules for attendance: Active participation in in-class discussions and practices contributes to the final grade as stated above. However, latecomers beyond 15 minutes will not be allowed to enter the class until a break. After the break, latecomers beyond 5 minutes will not be allowed to enter the class until the next break. Rules for quiz: Quizzes will be pop quizzes without any prior announcement. Moreover, once the quiz starts, no one is allowed to enter the classroom until the quiz ends. Missing a prework, HW, quiz: No make-up will be given. Missing a midterm: Provided that proper documents of excuse are presented, either a make-up exam will be given for each missed midterm exam or the grade of the second exam will be given as the grade of the first exam. If the second exam is missed, provided that proper documents of excuse are presented, a make-up exam will be given. Missing a project: No make-up will be given. Moreover, for the final project, if a student does not submit the report or does not show up during the demo/presentation without a proper document of excuse, she/he will automatically fail from the course. Passing Criterion: In order to pass the course with a letter grade of D, a student must obtain at least 50% from each exam and the project and at least 60% overall score when the weighted combination of all assessments is considered. The detailed letter grade table is uploaded to LMS. A reminder of proper classroom behavior, code of student conduct: Law on Higher Education Art. 54 Academic Dishonesty and Plagiarism: Law on Higher Education Art. 54 |
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