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
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| ELECTRICAL ENERGY | Elective Courses | 8 | 4 | 5 |
| ELECTRONICS AND COMPUTER ENGINEERING | Elective Courses | 8 | 4 | 5 |
| TELECOMMUNICATIONS | Compulsory Course | 8 | 4 | 5 |
| 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
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600144738
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=10914
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
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 45 | 1.5 | ✓ | ||
| Reading Assigment | 60 | 2 | ✓ | ||
| Tutorial | 15 | 0.5 | ✓ | ||
| Exams | 30 | 1 | ✓ | ||
| Total | 150 | 5 |
Student Assessment
Description
Written Examination
Student Assessment methods
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
ΣΤΟΙΧΕΙΑ ΤΗΣ ΘΕΩΡΙΑΣ ΠΛΗΡΟΦΟΡΙΑΣ,Cover Thomas, Joy Thomas, Πανεπιστημιακές Εκδόσεις Κρήτης, 2014
Last Update
30-11-2020
