DEGREE PROGRAMS  Associate's Degree (Short Cycle)  Bachelor’s Degree (First Cycle)  Master’s Degree (Second Cycle)

Course Description Course Name : System Modeling And Simulation Course Code : MES430 Course Type : Optional Level of Course : First Cycle Year of Study : 4 Course Semester : Spring (16 Weeks) ECTS : 4 Name of Lecturer(s) : Assoc.Prof.Dr. HAKANYAVUZ Learning Outcomes of the Course : Solves the differantial equation using Laplace Transform Builds mathematical model for various physical systems Obtains the transfer function of the physical system Solves block diagram of the physical system Comments transient response Comments continuous mode response Summarizes working principles of control elements Comments stability of control systems using criteria for stability Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : System Modeling and Simulation course deals with the mathematical modeling of dynamic systems and response analyses of such systems with a view toward understanding the dynamic nature of each system and improving the system´s performance. Response analyses of different systems are frequently made through computer simulations of dynamic systems. Course Contents : System Modeling and Simulation course deals with the mathematical modeling and simulation of dynamic systems and response analyses of such systems with a view toward understanding the dynamic nature of each system and improving the system´s performance. Response analyses of different systems are frequently made through computer simulations of dynamic systems. Language of Instruction : English Work Place : Classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction and Basic Definitions Lecture Notes and reference books Presentations, discussions and workshops 2 Introduction to Matlab Lecture Notes and reference books Presentations, discussions and workshops 3 Introduction to Simulink Lecture Notes and reference books Presentations, discussions and workshops 4 Modelling Methods of Dynamic Systems and Determination of Motion Equation Lecture Notes and reference books Presentations, discussions and workshops 5 Examples on Motion Equation Determination Lecture Notes and reference books Presentations, discussions and workshops 6 Transfer functions, Solving Linear differential equations by Laplace transform Tecnique Lecture Notes and reference books Presentations, discussions and workshops 7 Representing Dynamic Systems Motion Equations with Block Diagrams Lecture Notes and reference books Presentations, discussions and workshops 8 Mid-term Exam Lecture Notes and reference books Classic Exam 9 Model Development, Simulation and Control Lecture Notes and reference books Presentations, discussions and workshops 10 Introduction to Control Elements, Types and Control Performance Analysis Lecture Notes and reference books Presentations, discussions and workshops 11 Cruise Control Application Lecture Notes and reference books Presentations, discussions and workshops 12 DC Motor Speed Control Lecture Notes and reference books Presentations, discussions and workshops 13 Suspension System Modelling and Simulation Lecture Notes and reference books Presentations, discussions and workshops 14 Temperature Control Application Lecture Notes and reference books Presentations, discussions and workshops 15 DC Motor Position Application Lecture Notes and reference books Presentations, discussions and workshops 16/17 Final Exam Lecture Notes and reference books Classic Exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  1) Lecture Notes  2) Ogata K., ‘System Dynamics’, Prentice Hall, 4.Edition, 2004.  3) Ogata K., ‘Modern Control Engineering’, Prentice Hall, 5. Edition, 2010.  4) Ercan Y., ‘Mühendislik Sistemlerinin Modellenmesi ve Dinamiği’, Literatür Yayıncılık, 2. Edition, 2003.  5) Palm W., ‘System Dynamics’, MC Graw Hill, 2. Edition, 2010.  6) Klee H., Allen R., ‘Simulation of Dynamic Systems with MATLAB and Simulink’, CRC Press, 2011. 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 5 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 Students gain a command of basic concepts, theories and principles in mechanical engineering 4 2 Student become equipped with the basic knowledge of math, science and engineering 4 3 Students are able to design and carry out experiments in the basic fields of mechanical engineering, and interpret the results and the data obtained from the experiments 5 4 Students become equipped with a variety of skills and knowledge regarding engineering techniques 2 5 Students are able to design a system, component or process in order to meet the needs of various engineering problems within technical, economic, environmental, manufacturability, and sustainability limits. 5 6 Students independently review and learn the applications in an enterprise, make a critical assessment of the problems faced with, formulate problems and propose solutions by selecting the proper technique 5 7 Students take initiative in identification, design, development and use of a product or production process. 5 8 Students become aware of the necessity of lifelong learning and continuously self-renew 0 9 Students use English effectively for technical or non-technical topics orally or in wirtten form. 4 10 Students become effective in using computer, computer-aided drafting, design, analysis, and presentation 5 11 Students have good communicatino skills with a tendency to work in teams, and are able to work effectively as a member of an interdisciplinary team 2 12 Students become aware of the technical and ethical responsibilities, as well as being inquisitive and innovative 4 * 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 4 56     Out of Class Study (Preliminary Work, Practice) 14 2 28 Assesment Related Works     Homeworks, Projects, Others 5 2 10     Mid-term Exams (Written, Oral, etc.) 1 3 3     Final Exam 1 3 3 Total Workload: 100 Total Workload / 25 (h): 4 ECTS Credit: 4