Welcome Lecture (A. Bononi):
Master’s preparatory course
On September 2017 a two-week preparatory course has been offered to students both to provide general information and to consolidate their background knowledge. We highly recommend that you watch 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 email@example.com to get the access credentials)
Probability Theory (A. Bononi): Lec. 1 ; Lec. 2 ; Lec. 3 ; Lec. 4 ; Slides
Other Background Knowledge Sources
On top of that, as a light primer, you 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
If, after watching the prep classes, you feel your background is not sufficiently strong, we also recommend that you take the free online courses on the above topics offered at either MIT or at khanacademy.