6 ECTS credits
150 h study time
Offer 1 with catalog number 4016447ENR for all students in the 1st semester at a (E) Master - advanced level.
1 From the telegraph to the internet
- Telegraph
- Landline telephone
- Going digital
- Communication media
- The "last mile"
- Mobile revolution
- What is coming next?
2 Behavioral system theory
- Kernel, image, and input/state/output representtions
- Simulation, analysis and design problems
- From data to models
3 Case study: noise filtering
- Heuristic filtering methods
- Optimal model-based filtering
- Model-free filtering methods
4 Markov processes and queuing theory
- Stochastic matrices and probability vectors
- Multi-step transition process
- Regular Markov chains and limiting distributions
- Classification of states
- Transient state analysis
- The Google page rank algorithm
5 Information theory and coding
- Convolutional codes
- Trellis diagram
- Viterbi decoding
- Turbo coding/decoding
- Applications
6 Navigation (Leo Van Biesen)
- Introduction to geodesy and chart projection systems
- GPS and differential GPS
- GPS signals
- GPS code measurement
- Impact of atmosphere on GPS
- Types of localization methods (TA, TOA, E-OTD, A-GPS)
- GPS – Glonass – Galileo
Slides, reading materials, and homework assignements will be posted during the semester at the course webpage: http://homepages.vub.ac.be/~imarkovs/vint
This course contributes to the following generic learning outcomes of the Master in Electronics and Information Technology Engineering programme:
- In-depth knowledge and understanding of the advanced methods and theories to schematize and model complex problems or processes.
- Can correctly report on research or design results in the form of a technical report or in the form of a scientific paper.
- Think critically about and evaluate projects, systems and processes, particularly when based on incomplete, contradictory and/or redundant information.
- Has a creative, problem-solving, result-driven and evidence-based attitude, aiming at innovation and applicability in industry and society.
- Has a profound knowledge of measuring, modelling and control.
- Is able to analyze, specify, design, implement, test and evaluate individual electronic devices, components and algorithms, for signal-processing, communication and complex systems.
- Is able to model, simulate, measure and control electronic components and physical phenomena.
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:
Within the PRAC Lab Work category, the following assignments need to be completed:
The total mark is a weighted sum of the marks for part 1 (taught by Ivan Markovsky) and part 2 (taught by Leo Van Biesen). For part 1, 10 points are based on assignments (given in class) and 10 points on a mini-project (practical sessions). For part 2, the mark is 100% based an open book oral examination.
This offer is part of the following study plans:
Master in Applied Sciences and Engineering: Applied Computer Science: Standaard traject
Master of Applied Sciences and Engineering: Computer Science: Artificial Intelligence
Master of Applied Sciences and Engineering: Computer Science: Multimedia
Master of Applied Sciences and Engineering: Computer Science: Software Languages and Software Engineering
Master of Applied Sciences and Engineering: Computer Science: Data Management and Analytics
Master of Photonics Engineering: On campus traject
Master of Photonics Engineering: Online/Digital traject
Master of Electrical Engineering: Standaard traject BRUFACE J