6 ECTS credits
150 h study time

Offer 1 with catalog number 4004705ENR for all students in the 1st semester at a (E) Master - advanced level.

Semester
1st semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Taught in
Dutch
Faculty
Faculty of Engineering
Department
Electricity
Educational team
Gerd Vandersteen (course titular)
Leo Van Biesen
Ivan Markovsky
Activities and contact hours
42 contact hours Lecture
18 contact hours Seminar, Exercises or Practicals
Course Content

Introduction to telephony

  • Frequency domain multiplexing: telephony using carriers
  • The general principles of Pulse Code Multiplexing (PCM)
  • The non-linear quantization and encoding: A & µ-law and the signal-to-quantization-noise diagram
  • Time domain multiplexing
  • Line coding
  • Power spectral density (PSD) applied to Non Return-to-Zero (NRZ)-coding, RZ and bipolar RZ-coding
  • Eye-diagram
  • Data regeneration circuitry
  • 'Digital Subscriber Line' technologies (xDSL)
  • Switching boards and queuing systems

Introduction to switching boards

  • Markov processes and Markov chain
  • Queueing Systems
  • Infinite queues
  • Finite queues with loss
  • Kendall's notation (A/S/C) to describe queueing nodes


Channel coding

  • Intro to information theory and Shannon’s channel limit
  • Introduction to Galois fields
  • Linear block codes
  • Systematic and non-systematic codes
  • Syndrome decoding
  • Cyclic block codes
  • Binary and non-binary coding
  • Block interleaving
  • Hard and soft decoding
  • Convolutional codes
  • Trellis diagram
  • Viterbi decoding
  • Turbo coding/decoding
  • Demonstrated on various applications: Hamming code, CD player (Cross-Interleaved Reed-Solomon), Cyclic Redundancy Check (CRC), Hard disks (LDPC), RAID controller, Deep space communication (Turbo decoding), Convolutional codes in (DAB, Bluetooth, WiFi)

Navigation

  • Types of Introduction to geodesy and chart projection systems
  • GPS and differential GPS (D-GPS)
  • GPS signals
  • GPS code measurement
  • Impact of atmosphere on GPS
  • Types of localization methods (TA, TOA, E-OTD, A-GPS)
  • GPS – Glonass – Galileo
Additional info

Student notes in the format of slides, articles and book references will be provided to the students.

 

Learning Outcomes

General competencies

The students need to get insight in the different types of channel coding schemes that are used to detect and correct transmission errors.

It is important that the students known an understand the different pros and cons of the different types of channel coding such that they can make a motivated decision when choosing an appropriate channel coding. The students also need to have a good overview of the different types of positioning systems and be able to determine which (set of) positioning systems are appropriate for their problem.

Grading

The final grade is composed based on the following categories:
Oral Exam determines 70% of the final mark.
PRAC Lab Work determines 30% of the final mark.

Within the Oral Exam category, the following assignments need to be completed:

  • Oral exam with a relative weight of 1 which comprises 70% of the final mark.

Within the PRAC Lab Work category, the following assignments need to be completed:

  • Final Report with a relative weight of 1 which comprises 30% of the final mark.

Additional info regarding evaluation

Open book oral examination

 

Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Master of Electronics and Information Technology Engineering: Standaard traject (only offered in Dutch)
Master of Photonics Engineering: Standaard traject (only offered in Dutch)
Master of Applied Sciences and Engineering: Applied Computer Science: Standaard traject (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Artificial Intelligence (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Multimedia (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Software Languages and Software Engineering (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Data Management and Analytics (only offered in Dutch)