# Information and Coding Theory

 Title Θεωρία Πληροφοριών και Κωδίκων / Information and Coding Theory Code 093 Faculty Engineering School Electrical and Computer Engineering Cycle / Level 1st / Undergraduate Teaching Period Spring Coordinator Leonidas Georgiadis Common No Status Active Course ID 600001046

### Programme of Study: Electrical and Computer Engineering

Registered students: 46
OrientationAttendance TypeSemesterYearECTS
ELECTRICAL ENERGYElective Courses845
ELECTRONICS AND COMPUTER ENGINEERINGElective Courses845
TELECOMMUNICATIONSCompulsory Course845

 Academic Year 2019 – 2020 Class Period Spring Faculty Instructors Class ID 600144738

### Class Schedule

 Building Πολυτεχνείο - πτέρυγα Γ (ΤΗΜΜΥ & Τοπογράφων Μηχ.) Floor Όροφος 1 Hall Α7 (4) Calendar Δευτέρα 09:00 έως 11:00 Building Πολυτεχνείο - πτέρυγα Γ (ΤΗΜΜΥ & Τοπογράφων Μηχ.) Floor Όροφος 1 Hall Α3 (2) Calendar Πέμπτη 09:00 έως 11:00
Course Type 2016-2020
• Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
• Face to face
Language of Instruction
• Greek (Instruction, Examination)
Prerequisites
Required Courses
• 001 Calculus I
• 002 Linear Algebra
• 013 Applied Mathematics Ι
• 020 Probability Theory and Statistics
• 023 Discrete Mathematics
• 025 Stochastic Signals and Processes
• 027 Telecommunication Systems I
• 030 Telecommunication Systems II
• 059 Telecommunication Systems III
Learning Outcomes
After successful completion of the class, the students: 1. Will be able to examine the fundamental capabilities of communication systems and information systems in general, regarding the compression and transmission rate. 2. Will be able to begin the further study and implementation of compression and error-correcting codes based on the basic principles that are taught in the class.
General Competences
• Apply knowledge in practice
• Retrieve, analyse and synthesise data and information, with the use of necessary technologies
• Advance free, creative and causative thinking
Course Content (Syllabus)
Concepts of Entropy and Mutual Information. Data compression. First Shannon theorem. Error-correction coding. Discrete communication channel. Gaussian channel Channel capacity. Second Shannon Theorem.
Keywords
information, entropy, channel capacity, coding
Educational Material Types
• Notes
• Book
Use of Information and Communication Technologies
Use of ICT
• Use of ICT in Course Teaching
• Use of ICT in Communication with Students
Course Organization
Lectures451.5