Error Correction Coding Techniques

Course Information
TitleΚώδικες Διόρθωσης Σφαλμάτων / Error Correction Coding Techniques
Code125
FacultyEngineering
SchoolElectrical and Computer Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorPanagiotis Diamantoulakis
CommonNo
StatusActive
Course ID600001090

Programme of Study: Electrical and Computer Engineering

Registered students: 21
OrientationAttendance TypeSemesterYearECTS
ELECTRICAL ENERGYElective Courses955
ELECTRONICS AND COMPUTER ENGINEERINGElective Courses955
TELECOMMUNICATIONSElective Courses955

Class Information
Academic Year2022 – 2023
Class PeriodWinter
Faculty Instructors
Class ID
600218117
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Distance learning
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
Required Courses
  • 001 Calculus I
  • 002 Linear Algebra
  • 004 Structured Programming
  • 013 Applied Mathematics Ι
  • 020 Probability Theory and Statistics
  • 025 Stochastic Signals and Processes
  • 055 Applied Mathematics II
  • 093 Information and Coding Theory
Learning Outcomes
Upon successful completion of the course, the students will be able to: 1. Design and implementation of error-correcting codes 2. Analyse the performance of these codes.
General Competences
  • Apply knowledge in practice
  • Work autonomously
  • Work in teams
  • Generate new research ideas
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Linear binary codes, cyclic codes, Belief Propagation Algorithms, low density parity check codes (LDPC). Coding applications through projects.
Keywords
Error correcting codes
Educational Material Types
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures451.5
Tutorial451.5
Written assigments602
Total1505
Student Assessment
Student Assessment methods
  • Written Assignment (Formative, Summative)
Bibliography
Additional bibliography for study
Tom Richardson and Rudinger Urbanke, "Modern Coding Theory", Cambridge University Press40 W. 20 St. New York, NY United States, March 2008 David MacKay,"Information Theory, Inference, and Learning Algorithms", Cambridge University Press, 2003 David MacKay, "Information Theory, Inference, and Learning Algorithms", Cambridge University Press, 2003.
Last Update
10-09-2021