Information and Coding Theory

Course Information
TitleΘεωρία Πληροφοριών και Κωδίκων / Information and Coding Theory
Code093
FacultyEngineering
SchoolElectrical and Computer Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorLeonidas Georgiadis
CommonNo
StatusActive
Course ID600001046

Programme of Study: Merikī Foítīsī - PPS Īlektrológōn Mīchanikṓn kai Mīchanikṓn Ypologistṓn (2016 - sīmera)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
ĪLEKTRIKĪS ENERGEIASElective Courses845
ĪLEKTRONIKĪS KAI YPOLOGISTŌNElective Courses845
TĪLEPIKOINŌNIŌNCompulsory Course845

Programme of Study: Electrical and Computer Engineering

Registered students: 68
OrientationAttendance TypeSemesterYearECTS
ELECTRICAL ENERGYElective Courses845
ELECTRONICS AND COMPUTER ENGINEERINGElective Courses845
TELECOMMUNICATIONSCompulsory Course845

Class Information
Academic Year2020 – 2021
Class PeriodSpring
Faculty Instructors
Class ID
600169964
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
  • 013 Applied Mathematics Ι
  • 020 Probability Theory and Statistics
  • 023 Discrete Mathematics
  • 025 Stochastic Signals and Processes
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
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures45
Reading Assigment30
Tutorial45
Exams30
Total150
Student Assessment
Description
Written Examination
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative, Summative)
  • Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
ΣΤΟΙΧΕΙΑ ΤΗΣ ΘΕΩΡΙΑΣ ΠΛΗΡΟΦΟΡΙΑΣ,Cover Thomas, Joy Thomas, Πανεπιστημιακές Εκδόσεις Κρήτης, ΙΤΕ
Last Update
30-11-2020