COURSE UNIT TITLE

: SIGNALS AND SYSTEMS FOR COMPUTER ENGINEERING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CME 3207 SIGNALS AND SYSTEMS FOR COMPUTER ENGINEERING COMPULSORY 2 2 0 6

Offered By

Computer Engineering (English)

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR REYAT YILMAZ

Offered to

Computer Engineering (English)

Course Objective

This course is an introductory course to analog and digital signal processing. It aims to teach concepts such as convolution, transformations and sampling theory required for the analysis and design of continuous/discrete time linear systems from Computer Engineering point of view.

Learning Outcomes of the Course Unit

1   Discriminate signals and systems concepts
2   To be able to find the responses of linear systems with time domain convolution
3   Understand the definition and fundamental properties of Laplace Transform
4   Understand the definition and fundamental properties of Fourier Series and Transform
5   To be able to find the responses of linear systems in frequency domain
6   Capable of converting continuous time signals to discrete time signals using Sampling Theory, Reconstruction and Nyquist Theory

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Signals and Systems
2 Linear Systems
3 Linear Systems
4 Fourier Analysis for Continuous-time Signals
5 Fourier Analysis for Discrete-time Signals
6 Discrete time Fourier Transform
7 Filtering
8 Filtering
9 Modulation
10 Sampling
11 Sampling
12 Laplace Transform
13 Z Transform
14 Signals and Systems for Computer Engineering Review

Recomended or Required Reading

Textbook: Signals and Systems, 2nd Edition, Oppenheim, Willsky, and Hamid, Prentice-Hall, 1996, ISBN No. 9780138147570.
Supplemantary: MatLab: Student Version, Current Edition, The MathWorks, Inc.

Planned Learning Activities and Teaching Methods

Lectures / Presentation
Guided problem solving
Laboratory exercises
Homeworks

Assessment Methods

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


Further Notes About Assessment Methods

In-semester studies will be evaluated with 2 midterm exams and a number of laboratory / homework activities.
The final exam will cover all course topics.

Assessment Criteria

Midterm, Final, Homework

Language of Instruction

English

Course Policies and Rules

Participation is mandatory.

Contact Details for the Lecturer(s)

Assoc. Prof. Dr. Reyat YILMAZ
reyad.yilmaz@deu.edu.tr

Office Hours

Tuesday: 13:00-14:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Tutorials 14 2 28
Preparations before/after weekly lectures 14 3 42
Preparation for midterm exam 1 7 7
Preparation for final exam 1 10 10
Preparing assignments 5 6 30
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 149

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.133
LO.25333
LO.3533
LO.4533
LO.55333
LO.65333

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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