Master’s preparatory course
On September 2017 a two-week preparatory course has been offered to students to provide general information as well to consolidate their background knowledge. We highly recommend following the prep course video lectures to check and refresh your knowledge.
You can watch the prep course lecture videos by clicking on the following links (they are password protected, if you are (pre-)enrolled please write to alberto.bononi@unipr.it to get the access credentials)
Welcome Lecture (A. Bononi): ; Slides
Intro to Communication Engineering (G. Ferrari):
Mathematical Methods for Engineers (P. Serena): ; Slides
Fourier Transform (A. Vannucci):
Stochastic Processes (A. Vannucci):
Probability Theory (A. Bononi): Lec. 1 ; Lec. 2 ; Lec. 3 ; Lec. 4
Signals and Systems (A. Ugolini): ; Slides
Digital Communications (P. Serena): Lec.1 ; Lec. 2 ; Slides
Other Background Knowledge Sources
On top of that as a light primer, one can read the following Wikipedia pages:
- Fundamentals of Math: Vector space, Matrix, Calculus, Vector calculus, Taylor series
- Probability, random variables and stochastic processes: Probability theory, Random variable, Probability distribution, Independence (probability theory), Expected value, Variance, Covariance, Central Limit theorem, Stochastic process, Law of total probability, Bayes’ theorem, Autocorrelation, Power spectral density
- Signals, systems and Fourier transform methods: Signal (electrical engineering), Linear time-invariant theory, Fourier transform, Convolution
- Fundamentals of communication systems: Modulation, Telecommunication, Matched filter, Intersymbol interference, Bandwidth (signal processing), Nyquist–Shannon sampling theorem, Nyquist ISI criterion, bit error rate
- Fundamentals of electromagnetism: Electric field, Magnetic field, Classical electromagnetism, Wave
We also recommend following online courses on the above topics at MIT and at khanacademy.