This is the page for the standalone six-credit MACHINE LEARNING course and for the six-credit MACHINE LEARNING module within the MACHINE AND DEEP LEARNING twelve-credit course.

The course is offered to students of different degrees:

COMPUTER ENGINEERING
MATEMATICA
SCIENZE FISICHE
SCIENZE FISICHE
INDUSTRIAL AUTOMATION ENGINEERING
EUROPEAN LANGUAGES, CULTURES AND SOCIETIES IN CONTACT

The goal of the course is to provide a high-level view of the main cybersecurity aspects at the basis of modern software and network ecosystems. The course will allow to understand vulnerabilities and weaknesses plaguing the software, recognize bad security practices and major attack models, as well as to autonomously retrieve information on malware and network threats.

Within the Master's Degree in Computer Engineering of the University of Pavia (Faculty of Engineering), the course — one of the two modules of Multimedia Computing (together with Computer Vision) — provides the theoretical and practical bases of web and multimedia technologies.

 

1.        Project Management Foundations: lifecycle, WBS, predictive, agile, and hybrid approaches

2.        The Scrum agile approach

3.        Scaling and integration of agile approaches

4.        The standard by the Project Management Institute; PMBOK 6 and 7; AI in project management

5.        Structuring a project: WBS, project organization, Work Packages

6.        Business Process analysis and requirements definition

7.        Enterprise Architecture and IT Planning

8.        AI and Organizational Transformation

9.        Project Economic Analysis

10.     Risk analysis and organizational impact of projects