COURSE UNIT TITLE

: INTRODUCTION TO SIGNALS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EED 1012 INTRODUCTION TO SIGNALS COMPULSORY 2 2 0 3

Offered By

Electrical and Electronics Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR YAVUZ ŞENOL

Offered to

Electrical and Electronics Engineering

Course Objective

The goal of this course is to introduce the students into properties, basic modifications, and different representations of signals frequently encountered in Electrical and Electronics Engineering and to equip the students with the ability of
analyzing signals on computer using MATLAB programming language.

Learning Outcomes of the Course Unit

1   To be able to mathematically represent basic signals encountered in Electrical and Electronics Engineering.
2   To be able to relate continuous- and discrete-time signals.
3   To be able to solve simple problems about different representations and processing of signals.
4   To be able to analyze signals using MATLAB programming language.
5   To be able to decide on more suitable signal representations in solving different problems.
6   To be able to compose MATLAB programs toward solving problems about signals.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction
2 Continuous-time sinusoids and their properties
3 Basic continuous-time signals
4 Basic modifications of continuous-time signals
5 Odd and even signals
6 Energy and power signals
7 Shannon s sampling theorem and aliasing phenomenon
8 Discrete-time sinusoids and their properties
9 Basic discrete-time signals
10 Basic modifications of discrete-time signals
11 Complex Fourier series
12 Properties of Fourier series
13 Midterm Exam
14 Trigonometric Fourier series
15 Problem Session

Recomended or Required Reading


Main Source: Signals and Systems, A. V. Oppenheim, (second edt.), A. S. Willsky and S. H. Nawab, Prentice Hall, 1996.
- Signal Processing First, J. H. McClellan, R. W. Schafer and M. A. Yoder, Pearson-Prentice Hall, 2003. Referanslar:
- Course notes.

Planned Learning Activities and Teaching Methods


Lecture + Laboratory + Exam

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 LAB LABORATORY
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + LAB * 0.20 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + LAB * 0.20 + 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)

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

Office Hours

Tuesday 1-2 hours

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Laboratuary 14 2 28
Preparations before/after weekly lectures 12 1 12
Preparation for midterm exam 1 3 3
Preparation for final exam 1 3 3
Final 1 2 2
Midterm Exam 1 2 2
TOTAL WORKLOAD (hours) 78

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.143
LO.223
LO.32511
LO.441
LO.5121
LO.61241

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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