IT Systems, Data and Applications

Academic Year 2021/2022

General Infomation

The course is given by Professors Davide Falessi and Alessandro Pellegrini.

The course will be delivered face to face, but we will also deliver lectures on Teams for students who have certified needs not to attend classes. This is the link to the Teams channel.

The main page of the course is available here.

Exam Rules

The exam is oral, divided into two parts. The first part will cover the topics discussed by Prof. Falessi, the second one will cover the topics discussed by Prof. Alessandro Pellegrini. During the course, additional information on the oral exam will be provided.

Course Topics (tentative)

Intro to SE and processes
Introduction to Machine Learning (ML): terminology
ML to Support Software Safety
SVN and GitHub
Measuring metrics in Git/JIRA
SZZ- Proportion and Snoring
Accuracy Metrics & Comparing classifiers accuracy
Feature Selection
Sampling
Introduction to ICT Development Stacks
Operating Systems Principles
Computer Networks
Databases and Data Management
Big Data Processing
Cloud, Virtualization and Containers
Security and Privacy
Availability, Dependability, Disaster Recovery, Business Continuity
Performance and Energy Efficiency

Teaching Material

The teaching material will be published on the dedicated Teams channel, during the lectures.