COURSE UNIT TITLE

: SIGNALS AND SYSTEMS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EED 2010 SIGNALS AND SYSTEMS COMPULSORY 4 0 0 5

Offered By

Electrical and Electronics Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR OLCAY AKAY

Offered to

Electrical and Electronics Engineering

Course Objective

The objectives of this course are to introduce students to the basic concepts of signals, system modeling, and system classification; to develop students' understanding of time-domain and frequency-domain approaches to the analysis of continuous- and discrete-time systems; to provide students with necessary tools and techniques to analyze electrical networks and systems; and to develop students' ability to utilize MATLAB simulation software for system analysis.

Learning Outcomes of the Course Unit

1   To be able to define signal types and their representation in both time and frequency domains.
2   To be able to recognize the fundamental properties of signals for further analysis.
3   To know how to represent systems in both time and frequency domains and transform from one domain to other.
4   To be able to define system characteristics such as time invariance, linearity, and stability.
5   To be able to calculate the response of a system to standard signals (like impulse response) and using this knowledge to be able to calculate the response of a system to an arbitrary signal.
6   To be able to use MATLAB simulation software to analyse systems and signals.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

EED 1012 - INTRODUCTION TO SIGNALS

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Definition of system: Continuous- and discrete-time systems
2 Properties of systems
3 Linear Time Invariant (LTI) System Model: Convolution
4 Time-domain analysis of discrete-time systems: Difference equations and their solutions
5 Z-transform
6 Inverse Z-transform: Partial fraction Expansion
7 Analysis of LTI Systems via Z-transform
8 Midterm exam
9 Fourier transform (FT)
10 Properties of Fourier transform
11 Discrete-Time Fourier transform (DTFT)
12 Properties of Discrete-time Fourier Transform
13 Steady-state analysis of continuous-time LTI systems
14 Steady-state analysis of discrete-time LTI systems

Recomended or Required Reading

Main Source: Signals & Systems, (2nd edt.), by A. V. Oppenheim, A. S. Willsky, Prentice Hall, 1997.
Suplementary Source: Digital Signal Processing: Principles, Algorithms, and Applications, (4th edt.), by J . G. Proakis and D. G. Manolakis, Prentice Hall, 2006.
Other Materials: Lecture Notes.

Planned Learning Activities and Teaching Methods

Theoretical lectures will be supported by MATLAB computer programs given to students for application purposes.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Learning outcomes are evaluated by exams.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

olcay.akay@deu.edu.tr
yavuz.senol@deu.edu.tr

Office Hours

To be announced during the semester.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 4 52
Preparation for midterm exam 1 10 10
Preparation for final exam 1 15 15
Preparations before/after weekly lectures 13 3 39
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 120

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.133
LO.233
LO.344
LO.4441
LO.54411
LO.63

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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