Control Systems I (MECE306) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Control Systems I MECE306 6. Semester 3 0 0 3 6
Pre-requisite Course(s)
MATH276
Course Language English
Course Type Compulsory Departmental Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives To make the students equipped with designing continuous time control systems, discretizing the systems and controllers, implementing the closed loop system, analyzing and interpreting the results.
Course Learning Outcomes The students who succeeded in this course;
  • 1. To understand fundamentals of mathematical modeling and controllers.
  • 2. To understand control system design in continuous time.
Course Content Design of continuous time control systems, discretizing the systems and controllers, implementing the closed loop system and analyzing and interpreting the results; Laplace transform, transfer functions, stability, steady-state error analysis, root-locus technique, frequency response.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to control systems and automatic feedback control
2 Laplace transform, transfer function, mathematical modeling of physical systems by differential equations and transfer functions
3 Laplace transform, transfer function, mathematical modeling of physical systems by differential equations and transfer functions
4 Time response of first and second order systems, approximations and higher order systems
5 Time response of first and second order systems, approximations and higher order systems
6 Problem session
7 Block diagram representation of control systems
8 Stability
9 Steady state errors, sensitivity to parameter changes
10 Steady state errors, sensitivity to parameter changes
11 Root locus techniques
12 Design of control systems using root locus method
13 Design of control systems using root locus method
14 Problem session
15 Exam Week
16 Exam Week

Sources

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury - -
Final Exam/Final Jury - -
Toplam 0 0
Percentage of Semester Work
Percentage of Final Work 100
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 Knowledge of mathematics, natural sciences, engineering fundamentals, computing, and topics specific to the relevant engineering discipline; the ability to use this knowledge in the solution of complex engineering problems. X
2 The ability to identify, formulate, and analyze complex engineering problems using knowledge of basic sciences, mathematics, and engineering, and considering the UN Sustainable Development Goals relevant to the problem. X
3 The ability to design creative solutions for complex engineering problems; the ability to design complex systems, processes, devices, or products to meet current and future requirements, considering realistic constraints and conditions. X
4 The ability to select and use appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, for the analysis and solution of complex engineering problems, with an awareness of their limitations. X
5 The ability to use research methods for the investigation of complex engineering problems, including literature search, designing and conducting experiments, collecting data, and analyzing and interpreting results. X
6 Knowledge of the effects of engineering practices on society, health and safety, the economy, sustainability, and the environment within the scope of the UN Sustainable Development Goals; awareness of the legal consequences of engineering solutions. X
7 Acting in accordance with engineering professional principles, knowledge of ethical responsibility; awareness of acting impartially without discrimination on any grounds and being inclusive of diversity. X
8 The ability to work effectively individually and in intra-disciplinary and multi-disciplinary teams (face-to-face, remote, or hybrid) as a team member or leader.
9 "The ability to communicate effectively orally and in writing on technical topics, considering the various differences of the target audience (such as education, language, profession).
10 Knowledge of practices in business life such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
11 The ability to engage in life-long learning, including independent and continuous learning, adapting to new and emerging technologies, and thinking inquisitively regarding technological changes.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury
Total Workload 0