Information Theory

Electrical and Electronics Engineering

LECTURE: 3
LAB: 0
CREDITS: 3
ECTS: 6

REQUIRES

EEE2149080Probability and Random Variables

REQUIRED BY

None

TAUGHT IN

Electrical and Electronics Engineering (English)Year 4 FallELECTIVE

LANGUAGEEnglishLEVELFirst Cycle (Bachelor's Degree)TYPEElectiveSyllabus (PDF)

AIM

This course introduces the fundamental concepts of Information Theory as established by Claude Shannon. We will explore what information is, how it can be quantified, and the fundamental limits on compressing data (source coding) and reliably transmitting data over noisy communication channels (channel capacity). Topics include entropy, mutual information, Huffman coding, the Asymptotic Equipartition Property (AEP), channel coding theorem, differential entropy, and an introduction to Gaussian channels.

CONTENT

This course contains; .

ASSESSMENT

Rate of Midterm Exam to Success30%
Rate of Final Exam to Success70%

TEACHING STAFF

Assist.Prof. Mustafa TÜRKBOYLARICOORDINATOR
Assist.Prof. Mustafa TÜRKBOYLARI