WELCOME LECTURE (LECTURE 0)
A welcome lecture will be held on Sep 14, 2020, 10.00-14:00 italian time, online on Teams. Please send your email to alberto.bononi@unipr.it if you want to be added to the watching list.
(Videos/slides in this folder are password protected, if you are (pre-)enrolled please write to alberto.bononi@unipr.it to get the access credentials)
Past Welcome Lectures:
Master’s preparatory course
A two-week preparatory course is offered in recorded video-lectures (taped in 2017. See their list below) to students to consolidate their background knowledge. We highly recommend admitted students to watch the prep-course video lectures to check and refresh their knowledge.
In the Week 14-18 September 2020 teachers will be available to receive students online on Teams (if you are pre-enrolled your email has been added as a teams member. If you have a uniprID@guest.unipr.it account
use “Access Team with a code” and type in the code: ipmkx33). Goal of the meetings is to discuss with students the main issues in each 2017 video lecture, with the following schedule (italian times):
- P. Serena (Mathematical Methods for Engineers): Tue. Sep 15 10:30-12:30
- P. Serena (Introduction to Matlab scientific programming):
- A. Ugolini (Signals and Systems): Tue. Sep 15 14:30-16:30
- G. Ferrari (Intro to Communication Engineering): Wed. Sep 16 11:00-12noon Slides
- G. Colavolpe (Digital Communications): Wed. Sep 16 14:30-16:30
- T. Foggi (Probability videos 1,2): Thu. Sep 17 10.30-12.30
- T. Foggi (probability videos 3,4): Fri. Sep 18 10:30-12:30
- A. Vannucci (Fourier Transforms, Stochastic Processes): Fri Sep 18 14:30-16:30
You are advised to watch carefully the prep-course 2017 videos lectures before the above meeting dates, since in the meeting the main lecture concepts will be summarized, new examples seen, and your questions answered.
2017 Video Lectures are available by clicking on the following links:
Sep. 2017 Prep-Course Programme:
Intro to Communication Engineering (G. Ferrari):
Mathematical Methods for Engineers (P. Serena): ; Slides
Fourier Transform (A. Vannucci): Slides
Stochastic Processes (A. Vannucci): Slides
Probability Theory (A. Bononi): Lec. 1 ; Lec. 2 ; Lec. 3 ; Lec. 4 ; Slides
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, 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.