COURSE UNIT TITLE

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

The mathematical foundation for digital communications was established by Claude Shannon in 1948. In this pioneering work he formulated the basic problem of reliable transmission of information in statistical terms, using probabilistic models for information sources and communication channels. He adopted a logarithmic measure for the information content of a source and established basic limits on the maximum rate that digital information can be transmitted reliably over a communication channel.He showed for the transmission rate below channel capacity C, that the error probability averaged over all randomly selected codes can be made as small as desired. While this imlies the existence of good Codes, it left open the problem of designing such codes. Our aim in this course is first to present a brief introduction to information theory. In particular, the logarithmic measure adopted by Shannon to describe quantitatively the information content of a source will be described. Then the problem of a source encoding and provide, by means of example, several source encoding methods encountered in practice will be described. Next the attention will be turned to the transmission of the source output over a communication channel. The capacity of a channel will be defined.The course will continue with the channel coding, which is used to provide for the reliable transmission of digital information over the channel.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Textbook: Applied Coding and Information Theory for Engineers, Richard B. Wells, Prentice Hall,1999.
Supplementary Resources: Error-correcting Coding for Digital Communications, Clarke, G,C. and Cain, J.B., Plenum Press, 1983
Other materials: Course notes.

Planned Learning Activities and Teaching Methods

Lectures will be supported by regular homeworks.

Assessment Methods

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

Contribution of Learning Outcomes to Programme Outcomes