ECTS - Modeling and Control of Engineering Systems

Atılım University - ECTS INFORMATION GUIDE

Modeling and Control of Engineering Systems (ENE408) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Modeling and Control of Engineering Systems ENE408 Area Elective 3 1 0 3 5
Pre-requisite Course(s)
(ENE303 veya MECE306 veya EE326)
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Question and Answer, Drill and Practice.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Hüseyin Oymak
Course Assistants
Course Objectives The main objective of this course is to provide a progressive treatment of dynamic systems suitable for all engineering students regardless of discipline. Particularly, this course aims to present a detailed treatment of modeling mechanical, electrical, electromechanical, thermal, and fluid systems by demonstrating the ways of obtaining analytical and computer solutions at an introductory, and higher, level.
Course Learning Outcomes The students who succeeded in this course;
  • identify the variables, recognize the elements, and recall the interconnection laws in modeling translational, rotational, electrical, electromechanical, thermal, and fluid systems
  • construct modeling equations, the input-output equation, or the state-variable model for translational, rotational, electrical, electromechanical, thermal, and fluid systems
  • draw a block diagram from the differential equations of a system
  • implement a block diagram to the SIMULINK part of MATLAB
  • apply Laplace transform method for analytical solutions of linear models
  • employ transfer function analysis to complex systems with two or more energy-storing elements
  • linearize an element law and incorporate it into a system model
  • modify and simplify structure of block diagrams (to obtain transfer functions)
  • construct and analyze linear models of dynamic systems using MATLAB
  • outline feedback design and control protocols with MATLAB
Course Content Laplace transform function analysis; linearization; electromechanical systems; thermal systems; fluid systems; block diagrams and computer simulation; modeling, analysis, and design tools; feedback design

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Transform Function Analysis – Part I Chapter 8
2 Transform Function Analysis – Part II Chapter 8
3 Developing a Linear Model Chapter 9
4 Electromechanical Systems – Part I Chapter 10
5 Electromechanical Systems – Part II Chapter 10
6 First Midterm Examination
7 Thermal Systems – Part I Chapter 11
8 Thermal Systems – Part II Chapter 11
9 Fluid Systems – Part I Chapter 12
10 Fluid Systems – Part II Chapter 12
11 Second Midterm Examination
12 Block Diagrams for Dynamic Systems Chapter 13
13 Modeling, Analysis, and Design Tools – Part I Chapter 14
14 Modeling, Analysis, and Design Tools – Part II, Part III Chapter 14
15 Feedback Design with MATLAB Chapter 15
16 Final Examination

Sources

Course Book 1. Modeling and Analysis of Dynamic Systems, 3rd Edition, by C.M. Close, D.K. Frederick, J.C. Newell, Wiley.
Other Sources 2. MATLAB 2021a veya 2021b, Atılım Üniversitesi lisansıyla.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 45
Final Exam/Final Jury 1 30
Toplam 9 100
Percentage of Semester Work 70
Percentage of Final Work 30
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply knowledge of mathematics, science, and engineering.
2 An ability to design and conduct experiments, as well as to analyze and interpret data.
3 An ability to design a system, component, or process to meet desired needs.
4 An ability to function on multi-disciplinary teams.
5 An ability to identify, formulate, and solve engineering problems.
6 An understanding of professional and ethical responsibility.
7 An ability to communicate effectively.
8 The broad education necessary to understand the impact of engineering solutions in a global and societal context.
9 Recognition of the need for, and an ability to engage in life-long learning.
10 Knowledge of contemporary issues.
11 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
12 Skills in project management and recognition of international standards and methodologies

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 2 28
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 2 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 10 20
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 126