LEARNING OUTCOMES

Learning the fundamentals of architecting, designing, and validating massively scalable, highly available, large-scale software systems, with special emphasis on challenges posed by data intensive applications and Internet of Things.

AIMS AND LEARNING OUTCOMES

After the completion of the course, the students will:

• be aware of the specific problems posed by the development of the software systems based on data analytics 
• be able to use the visual notation UML to support the development of software systems based on analytics
• be able to model the business processes, the starting point for applying the data analytics to business 
• know approaches and methods for supporting  the development of software systems based on analytics

PREREQUISITES

Basic knowledge of 

• data management and data analytics techniques
• software engineering

TEACHING METHODS

The main concepts will be presented by lessons. Hands-on activities will help the students to gain an insight on the applicative concerns.

It will be possible to participate in both lessons and interactive activities from remote, on the educational platform of our University.

SYLLABUS/CONTENT

Specific features and issues of the development of the software systems based on data analytics 

Visual modelling using UML for supporting the development of software systems based on analytics

Visual modelling of the business processes using UML

Requirement elicitation and specification of the requirements of software systems based on analytics

Agile and Model-driven approaches for the development of software systems based on  data analytics