COURSE UNIT TITLE

: DIGITAL COMMUNICATION SYSTEM

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EEE 5036 DIGITAL COMMUNICATION SYSTEM ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR REYAT YILMAZ

Offered to

ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH)
ELECTRICAL AND ELECTRONICS ENGINEERING NON -THESIS (EVENING PROGRAM) (ENGLISH)
ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH)
ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH)

Course Objective

This course is a graduate level introduction to the basic principles of digital communication systems. A digital communication system is one that transmits a source (voice, video, data, etc.) from one point to another, by first converting it into a stream of bits, and then into symbols that can be transmitted over channels (cable, wireless, storage, etc.). The course gives an overview of thge designs of digital communication systems. We explain the mathematical foundation of decomposing the systems into separetly designed source codes and channel codes. as a result the basic principles of digital communication theory and techniques are emphasized.

Learning Outcomes of the Course Unit

1   To be able to define the geometric representation of signals.
2   To be able to define fundamental limits on the efficiency of a source and the rate of reliable information transmission over a channel.
3   To be able to use source coding techniqes.
4   To be able to know and compare the most used digital modulation techniques.
5   To be able to propose different solutions into problems of different channels(Equalizers and channel coding).

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction: A layered view of digital communication
2 Fundamental Limits on Performance
3 Geometric Interpretation of Signals
4 Sampling Process
5 Waveform Coding Techniques
6 Midterm Exam
7 Baseband shaping for Data Transmission
8 Digital Modulation Techniques I
9 Digital Modulation Techniques II
10 Channel Coding techniques
11 Trellis coded Modulation
12 Multiplexing techniques
13 Multiple-Access Communication
14 Project Evaluation

Recomended or Required Reading

Digital Communications, Simon Haykin, John Wiley&Sons,
Communication Systems, Analysis and Design, H.P.E Stern, S.A. Mahmoud, L.E. Stern, Prentice Hall, 2004

Planned Learning Activities and Teaching Methods

Lectures will be supported by regularly given homeworks and a project.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRJ PROJECT
2 MTE MIDTERM EXAM
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE PRJ * 0.30 + MTE * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) PRJ * 0.30 + MTE * 0.30 + RST * 0.40


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

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

reyad.yilmaz@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 4 52
Preparing assignments 2 6 12
Preparation for midterm exam 1 10 10
Preparation for final exam 1 10 10
Design Project 13 5 65
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 192

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.121
LO.2211
LO.311141111
LO.412311112112
LO.533324111211111