General description
This course aims to enable students to understand the basics of "Digital Communications" and "Information and Communication Theory". This will be performed by:
-The use of Probability Theory in the computation of system performance and detection theory
-Understanding Base Band and Pass Band modulations (As in Wire Communications and Radio Communications) and demodulation methods.
-Understanding noise and its effect on system performance.
-Understanding Key Trade-Offs in Communications: (Modulation and Coding Trade-Off, Spectrum and Power efficiencies Trade-Off).
-Channel Coding for Error Detection and Correction.
-General evaluation of communication system.
This Course is tightly related to other courses like: Analog Communications, Signal and Systems, Digital Signal Processing and constitutes a basic introductory to some other courses in higher levels. The course "Matlab for numerical computing is necessary for Practical Works.
Intended Learning Outcomes
- Understanding the basics of Probability Theory and its applications in Digital Communication and detection theory.
- Understanding Principles of Digital Communications and its trade-offs in the Base Band and Pass Band modulations (As in Wire Communications and Radio Communications) and demodulation methods.
- Understanding demodulation principles and methods and Comparing the performances and the trade-offs.
- Understanding the trade-offs between spectrum efficiency and power efficiency.
- Identifying noise and its effect on signal detection and system performance
- Understanding error detection and correction principles and their effect on system performance.
- Learning Channel Coding fundamentals and Trade-Off between modulation and Coding