EEE214 Signals And SystemsIstanbul Okan UniversityDegree Programs Mechatronics Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Mechatronics Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: EEE214
Course Name: Signals And Systems
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 7
Language of instruction: EN
Course Requisites: MATH113 - Mathematics I | MATH151@MÜ - CALCULUS I
MATH113 - Mathematics I
MATH113 - Mathematics I
Does the Course Require Work Experience?: No
Type of course: Compulsory
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi DİDEM KIVANÇ TÜRELİ
Course Lecturer(s): Dr.Öğr.Üyesi DİDEM KIVANÇ TÜRELİ
Course Assistants:

Course Objective and Content

Course Objectives: Understanding the signals and system analysis methods, providing mathematical background about the methodology then use this information for the analysis of systems.
Course Content: Continuous time signals, discrete time signals, analysing the fundamental properties of systems, Linear Time Invariant systems, convolution, Fourier series expansion of Fourier Series, continuous time, discrete time Fourier transforms, Sampling theorem, Laplace transform, z transform.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Understand and use the mathematical description and representation of continuous and discrete time signals and systems.
2) Develop input output relationship for linear time invariant systems and understand the convolution operator for continuous and discrete time systems.
3) Analyze signals in frequency domain using Fourier series, Fourier transform and Laplace transform.
4) Apply basic mathematical and scientific principles to analyze signals and systems.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Mathematical Representation of Continuous and Discrete-Time Signals, Signal Energy and Power, Periodic Signals, Even and Odd Signals -
2) Continuous and Discrete Time Complex Exponential and Sinusoidal Signals, Continuous and Discrete Time Unit Step and Unit Impulse, Interconnection of Systems, Systems with and without memory, Stability, Time Invariance -
3) Sürekli Ayrık Zamanlı Konvolüsyon, Doğrusal Zamanla Değişmeyen Sistemlerin Özellikleri -
4) Sürekli zaman periyodik sinyallerinin Fourier Serisi gösterimi, sürekli zaman Fourier serilerinin özellikleri -
5) Continuous Time Fourier Transform and its properties -
6) Fourier Series representation of discrete-time periodic signals, Fourier Transform and its properties -
7) Systems described by differential and difference equations -
8) Time and Frequency characterization of signals and systems, Magnitude-phase representation of the frequency response of LTI systems -
9) Sampling Theorem, Impulse Train Sampling, Discrete-time sampling -
10) The Laplace Transform and its properties -
11) Geometric evaluation of the Fourier transform from pole-zero plot -
12) Analysis of LTI systems using the Laplace transforms -
13) The z-transform and its properties, geometric evaluation of the Fourier transform from the pole-zero plot -
14) Analysis of LTI systems using z-transform -

Sources

Course Notes / Textbooks: Signals and Systems, A. V. Oppenheim, A. S. Willsky,
References: Schaum's Outline of Signals and Systems

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

4

Program Outcomes
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems. 3
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. 1
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.) 1
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.

Learning Activity and Teaching Methods

Expression
Individual study and homework
Lesson
Reading
Homework
Problem Solving

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 5 % 10
Midterms 1 % 40
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 5 70
Homework Assignments 5 6 30
Total Workload 142