Control Engineering I (MECE521) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Control Engineering I MECE521 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Discussion, Experiment, Question and Answer, Observation Case Study, Problem Solving, Team/Group, Brain Storming, Project Design/Management.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives To equip students the ability of analyzing the systems in state space. Necessary tools for the stability analysis of linear and nonlinear systems will be given also.
Course Learning Outcomes The students who succeeded in this course;
  • To learn fundamentals of linear system analysis in state space,
  • To understand fundamentals for stability analysis of linear and nonlinear systems,
  • To work analysis of nonlinear systems.
Course Content State space analysis of systems, state feedback, observers, Lyapunov stability theory, phase portraits, and the describing function analysis.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 State space analysis N/A
2 State space analysis N/A
3 Controllability, observability, stabilizability, detectability N/A
4 State feedback N/A
5 Pole placement N/A
6 Observers N/A
7 PHB tests N/A
8 Stability N/A
9 Stability N/A
10 Lyapunov stability theory N/A
11 Lyapunov stability theory N/A
12 Phase portraits N/A
13 Describing function analysis N/A
14 Describing function analysis N/A
15 Problem Session N/A
16 General Examination N/A


Course Book 1. Modern Control Design with Matlab and Simulink, A. Tewari, ISBN: 0-471-496790, Wiley, 2002.
Other Sources 2. Ogata, K., Modern Control Engineering, 5th Ed., Prentice-Hall, 2002.
3. Franklin, G. F., Powell, J. D., Emami-Naeini, A., Feedback Control of Dynamic Systems, 4th Ed., Prentice-Hall, 2002.
4. Kuo, B. C. and Golnaraghi, F., Automatic Control Systems, 8th Ed., John Wiley and Sons, Inc., 2003.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 15
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 4 40
Final Exam/Final Jury 1 25
Toplam 11 100
Percentage of Semester Work 75
Percentage of Final Work 25
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 Ability to expand and get in-depth information with scientific researches in the field of mechanical engineering, evaluate information, review and implement.
2 Have comprehensive knowledge about current techniques and methods and their limitations in Mechanical engineering.
3 To complete and apply knowledge by using scientific methods using uncertain, limited or incomplete data; use information from different disciplines.
4 Being aware of the new and developing practices of Mechanical Engineering and being able to examine and learn when needed.
5 Ability to define and formulate problems related to Mechanical Engineering and develop methods for solving and apply innovative methods in solutions.
6 Ability to develop new and/or original ideas and methods; design complex systems or processes and develop innovative/alternative solutions in the designs.
7 Ability to design and apply theoretical, experimental and modeling based researches; analyze and solve complex problems encountered in this process.
8 Work effectively in disciplinary and multi-disciplinary teams, lead leadership in such teams and develop solution approaches in complex situations; work independently and take responsibility.
9 To establish oral and written communication by using a foreign language at least at the level of European Language Portfolio B2 General Level.
10 Ability to convey the process and results of their studies systematically and clearly in written and oral form in national and international environments.
11 To know the social, environmental, health, security, law dimensions, project management and business life applications of engineering applications and to be aware of the constraints of their engineering applications.
12 Ability to observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 3 42
Special Course Internship
Field Work
Study Hours Out of Class 14 5 70
Presentation/Seminar Prepration
Project 1 25 25
Homework Assignments 5 6 30
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 4 10 40
Prepration of Final Exams/Final Jury 1 18 18
Total Workload 225