Welcome Lecture and Preparatory Course


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:

(2020 A. Bononi);; Slides 

(2019 P. Serena) Slides

(2018 A. Bononi); Slides 

(2017 A. Bononi); Slides

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:

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.