Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
1AIN450Dynamical Systems3+0+03612.08.2025

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program ARTIFICIAL INTELLIGENCE ENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course The aim of this course is to teach the basic concepts of dynamic systems, to provide an introduction to the analysis of dynamic systems with continuous time representations and to the concept of feedback, and to teach how to perform closed loop system analysis / design in time / frequency domains.
Course Content Basic concepts about systems
System (transfer function, differential equation, state space) representations
Continuous time linear dynamic systems
Stability analysis
Steady state and transient regime analysis
Frequency domain analysis and PID controllers
Feedback, state space, controllability, observability
Course Methods and Techniques Lecture, Problem Solving
Prerequisites and co-requisities ( BBM102 ) and ( BBM104 )
Course Coordinator None
Name of Lecturers Prof. Mehmet Önder Efe
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Ogata, K. Modern Control Engineering, 5th Ed. Prentice-Hall, 2009. Luenberger D., Introduction to Dynamic Systems: Theory, Models, and Applications, John Wiley, 1979. Stephen Lynch, Dynamical Systems with Applications using Python, Springer International Publishing AG, part of Springer Nature 2018 Stephen Lynch, Dynamical Systems with Applications using MATLAB®-Birkhäuser Basel, 2014.
Course Notes Ogata, K. Modern Control Engineering, 5th Ed. Prentice-Hall, 2009.

Luenberger D., Introduction to Dynamic Systems: Theory, Models, and Applications, John Wiley, 1979.

Stephen Lynch, Dynamical Systems with Applications using Python, Springer International Publishing AG, part of Springer Nature 2018

Stephen Lynch, Dynamical Systems with Applications using MATLAB®-Birkhäuser Basel, 2014


Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Midterm Exam 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 5 70
Preparation for Midterm Exam 1 20 20
General Exam Preparation 1 48 48
Total Work Load   Number of ECTS Credits 6 180

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 After completing the course, the students will, have information about the concepts related to dynamic systems be able to apply their knowledge about dynamic systems in a simulation environment and develop system analysis capability in the framework of
2  
3  
4  
5  
6  
7  
8  

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Basic concepts of systems
2 Transfer functions
3 Stability analysis
4 Stability analysis
5 Transient regime analysis of dynamic systems
6 Transient regime analysis of dynamic systems
7 Steady state errors and analysis
8 Midterm
9 Root locus and simulations with computers
10 Root locus and simulations with computers
11 Frequency domain analysis
12 Frequency domain analysis
13 PID controllers
14 State space representations, controllability and observability
15 Preparation to final exam
16 Final exam

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 4 5 5 3 2 1 1 2 1 1 1 2
C1
C2
C3
C4
C5
C6
C7
C8

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

  
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