PREPARATORY COURSES 2019-2020

  • Crash course in Probability
  • Crash course in Python

Registration to the preparatory courses is still open. Please fill-in the online form available here:

 
 
Teaching mode, location and tentative schedule:
 
  • Crash course in Probability - September Monday 13th - Thursday 16th 09:30-12:30 - Room/Aula P1 CU037 (blended mode)
  • Crash course in Python - September Monday13th - Thursday 16th 15:00-18:00 -  (online mode)

[NEW!] Instructions for attendance: (whenever possible in person attendance is highly recommended in order to take full advantage of the course value and to start living university community and building friendships and personal support networks)

 

You can find more details for attendance at the following url: https://corsidilaurea.uniroma1.it/en/node/2462173

 

Crash course on Python

This is a hands-on introductory course to the python programming language, meant to give you a head start into the data science master degree.

We will interactively cover the basics of coding (data types, data structures, control flows, and OOP) starting from the very basics.

The course this year will be held online, further logistical information will follow soon.

 

This is a tentative list of topics:

 

  • Lecture 1: a basic introduction to Python and data structures
  • Lecture 2: exception handling, file I/O, and standard (built-in)
  • Lecture 3: introduction to object-oriented programming
  • Lecture 4: git and third-party libraries

 

In order to join the course it's mandatory to successfully pass the Verifica dei Requisiti after paying pay the 10 euros tax for verification of pre-requisites. You can attend the preparatory course even if you have not yet received an answer to your prerequisite verification request. In case you are lacking credits/knowledge in the specific areas, attendance to the pre-courses may increase your chances of getting the admission possibly after the necessary interview. 
 
 
All admitted students will be contacted via e-mail by September 12th with all details on location and schedule
 

 

The course is optional and won't give you any credit or grade, however we highly recommend attendance to students that have little coding experience, 
 
 
Crash course in Probability and Statistics
 

Brief course description:

 

The goal of this crash course is to provide the student with the basic of probability theory, including an hint of the "data science" perspective: i.e. data modelling. It will cover both theory and exercises, assuming no prior knowledge of the topic.

This is a tentative list of topics:
 

  • Lecture 1: Why we need a Probabilistic Model. Building blocks: definition of probability, independence, conditioning.
  • Lecture 2: What is a Probabilistic Model. Definition and characterisation of a Random Variable. Basic summaries: expected value, variance.
  • Lecture 3: Main  univariate (1D) probabity models and how to Use them. Discrete (Binomial, Poisson) and Continuous (Gaussian, Exponential) random variables.
  • Lecture 4: Beyond 1D. Characterising multidimensional random variables: joint, marginal and conditional distribution. Dependence and association: Correlation, Covariance. Wrap up what we left out the previous days.

There will be no written lectures notes, but you can find all the topics we covered in the following book: A modern introduction to Probability and Statistics - Sparse stuff from Chapters 1 to 10.

 

Other suggested Textbooks:

Agresti, Franklin and Klingenberg (2017), Statistics: The Art and Science of Learning From Data, Pearson 

 

In order to join the course it's mandatory to successfully pass the Verifica dei Requisiti after paying pay the 10 euros tax for verification of pre-requisites. You can attend the preparatory course even if you have not yet received an answer to your prerequisite verification request. In case you are lacking credits/knowledge in the specific areas, attendance to the pre-courses may increase your chances of getting the admission possibly after the necessary interview. 

 

https://corsidilaurea.uniroma1.it/en/corso/2021/29942/iscriversi

 

All admitted students will be contacted via e-mail by September 12th with all details on location and schedule