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)
  • Assoc. Prof. Dr. Muhammad Umer KHAN
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 Engineering Knowledge: Knowledge in mathematics, science, fundamental engineering, computational science, and related engineering disciplines; the ability to apply this knowledge to solve complex engineering problems.
2 Problem Analysis: The ability to identify, formulate, and analyze complex engineering problems using fundamental science, mathematics, and engineering knowledge, while keeping in mind the relevant UN Sustainable Development Goals.
3 Engineering Design: The ability to design creative solutions to complex engineering problems; the ability to design complex systems, processes, devices, or products to meet current and future requirements, taking into account realistic constraints and conditions.
4 Techniques and Tool Usage: The ability to select and use appropriate techniques, resources, and modern engineering and information tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while being aware of their limitations.
5 Research and Investigation: The ability to use research methods, including literature review, experimental design, experiment execution, data collection, analysis and interpretation of results, for the investigation of complex engineering problems.
6 Global Impact of Engineering Applications: Information about the impacts of engineering applications on society, health and safety, the economy, sustainability and the environment within the framework of the UN Sustainable Development Goals; awareness of the legal consequences of engineering solutions. X
7 Engineering Ethics: Awareness of ethical responsibility and adherence to engineering professional principles; impartiality and inclusivity without discrimination. X
8 Individual and Teamwork: The ability to work effectively individually and as a team member or leader in interdisciplinary and multidisciplinary teams (face-to-face, remote, or mixed).
9 Oral and Written Communication: The ability to communicate effectively orally and in writing on technical topics, taking into account the diverse differences of the target audience (education, language, profession, etc.).
10 Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
11 Lifelong Learning: Lifelong learning skills encompassing the ability to learn independently and continuously, adapt to new and emerging technologies, and think critically about 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