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

ASISTANT PROFESSOR YAVUZ ŞENOL

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 classi cation; to develop students understanding of time-domain and frequencydomain approaches to the analysis of continuous and discrete systems; to provide students with necessary tools and techniques to analyze electrical networks and systems; and to develop students ability to apply modern simulation software to system analysis.

Learning Outcomes of the Course Unit

1   To be able to define signal types , 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 ( impulse response, step response) and using these knowledge to be able to calculate the response of a system to an arbitrary signal
6   To be able to use Matlab 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 Introduction to systems; classification of systems
2 System model: input-output description
3 Continuous-time signal analysis: Fourier Transform
4 Properties of Fourier Transform
5 Continuous-time system analysis using Laplace Transform
6 Properties of Laplace Transform
7 Discrete-time signals and systems (Midterm)
8 Time-domain analysis of discrete-time systems: Difference equations and their solutions
9 Fourier analysis of discrete-time signals
10 Discrete-time system analysisi using the Z-transform
11 Z-transform solution of linear difference equations
12 Connection between Laplace and Z-transforms
13 Midterm Exam
14 State-space analysis

Recomended or Required Reading

Main Source: Signals & Systems, 2nd ed., by A.V. Oppenheim, A.S. Willsky, Prentice Hall, 1996.
Suplementary Source: Signal Processing & Linear Systems, by B.P. Lathi, Berkeley-Cambridge, 1998.
Other Materials:Lecture Notes

Planned Learning Activities and Teaching Methods

Lectures will be supported by regularly assigned homeworks , recitation hours, and Matlab applications

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE 1 MIDTERM EXAM 1
2 MTE 2 MIDTERM EXAM 2
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE 1 * 0.25 + MTE 2 * 0.25 + FIN * 0.50
5 RST RESIT
6 FCG FINAL COURSE GRADE MTE 1 * 0.25 + MTE 2 * 0.25 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

Learning outcomes are evaluated by homeworks, laboratory appilicatins, and exam questions.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

damla.kuntalp@deu.edu.tr
yavuz.senol@deu.edu.tr

Office Hours

Will be posted

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 4 52
Preparations before/after weekly lectures 13 2 26
Preparation for midterm exam 2 10 20
Preparation for final exam 1 15 15
Preparing assignments 4 3 12
Final 1 2 2
Midterm 2 2 4
TOTAL WORKLOAD (hours) 131

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
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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