COURSE UNIT TITLE

: SIGNALS AND SYSTEMS FOR COMPUTER ENGINEERING

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

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR ERCAN AVŞAR

Offered to

Computer Engineering

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 1st Midterm
8 Filtering
9 Filtering
10 Modulation
11 Sampling
12 Midterm
13 Laplace Transform

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


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

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

LO1-LO6 will be evaluated by a number of questions asked in midterm exam and final exam.
Laboratory applications and homework will be used to evaluate LO1 through LO6 during the semester.

Language of Instruction

English

Course Policies and Rules

1. Participation is mandatory (%70 theoretical courses and 80% practices)
2. Every cheating attempt will be finalized with disciplinary action.
3. Instructor reserves the right to quizzes. Notes should be added to these examinations, midterm and final exam grades.

Contact Details for the Lecturer(s)

Asst. Prof. Dr. Ercan Avşar
ercan.avsar@cs.deu.edu.tr

Office Hours

Office hours
Tuesday: 13:00-14:00
Friday: 11:00-12:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 2 24
Tutorials 12 2 24
Preparations before/after weekly lectures 12 3 36
Preparation for midterm exam 1 10 10
Preparation for final exam 1 10 10
Preparing assignments 5 6 30
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 138

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1333
LO.2533
LO.353
LO.453
LO.5533
LO.6533