GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SYSTEM DYNAMICS/ME426
Course Title: SYSTEM DYNAMICS
Credits 3 ECTS 5
Course Semester 8 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  English.
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Students will be able to model physical system components and model physical systems via linear graphs.
Students will be able to obtain state models of dynamics systems from system graph.
Students will be able to linearize nonlinear systems.
Students will be able to obtain transfer functions and time and frequency responses of systems.
 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face.
 --WEEKLY SCHEDULE
1. Week  System concept. Introduction to system dynamics, definitions. Modeling of physical systems. Global parameter models. Variable types.
2. Week  Power and energy. Energy ports. One-port elements. Type-A, type-T, type-D and source elements.
3. Week  One-port elements of physical systems.
4. Week  Linear graph representation of system elements. Oriented linear graphs of systems with one-port elements. Derivation of basic equations from system graph.
5. Week  Obtaining dynamic equations of some example systems with one-port elements.
6. Week  Incompatibilities in modeling and dependent elements. Impure elements.
7. Week  Two-port elements. Oriented linear graphs and dynamic equations of systems with one-port and two-port elements.
8. Week  Obtaining dynamic equations of some example systems with one-port and two-port elements.
9. Week  State variables and state equations. Determination of state variables of systems with one-port elements from their linear graphics and derivation of state equations.
10. Week  Midterm Exam.
11. Week  Determination of state variables of systems with one-port and two-port elements and derivation of state equations.
12. Week  Linearization of nonlinear systems. Linearization around steady and non-steady operating points.
13. Week  Laplace transforms. Transfer functions. Characteristic equation. Poles and zeros. Test input types and time response.
14. Week  Response of systems to impulse, step and ramp inputs. Step and ramp responses of first order systems. Step responses of second order systems.
15. Week  Responses of systems to sinusoidal inputs. Frequency response, amplitude ratio, phase shifting. Graphical representations of frequency response.
16. Week  Final Exam.
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
0
0
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
4
20
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
14
3
42
 Searching in Internet and Library
14
2
28
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
9
1
9
 Final Exam and Preperation for Final Exam
5
1
5
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
126
 TOTAL WORKLOAD / 25: 
5.04
 Course Credit (ECTS): 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledgein these areas in complex engineering problems.X
2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.X
3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.X
4Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.X
5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.X
6Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.X
7Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.X
8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.X
9Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.X
10Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.X
11Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Mehmet EROĞLU , Prof. Dr. Metin U SALAMCI , Assoc. Prof. Dr. Sinan KILIÇASLAN)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/meroglu , https://websitem.gazi.edu.tr/site/msalamci , https://websitem.gazi.edu.tr/site/skilicaslan)
 -- EMAIL(S) OF LECTURER(S)
   (meroglu@gazi.edu.tr , msalamci@gazi.edu.tr , skilicaslan@gazi.edu.tr)