81615 - Pervasive Computing

Academic Year 2020/2021

  • Moduli: Alessandro Ricci (Modulo 1) Mirko Viroli (Modulo 2)
  • Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
  • Campus: Cesena
  • Corso: Second cycle degree programme (LM) in Computer Science and Engineering (cod. 8614)

Learning outcomes

At the end of the course, a student: - knows the main aspects about the design and development of pervasive computing systems and applications; - knows the main technique for modelling, designing, and simulating pervasive computing systems, in particular complex ones (large-scale); - is capable of using reference technologies and tools (e.g. related to Internet of Things) for developing pervasive computing systems and applications; - is capable of designing and implementing pervasive computing systems in specific application domains.

Course contents

1 - CONCEPTS & FOUNDATIONS

- Introduction to the main aspects and issues that characterise pervasive computing systems and pervasive software

- Main themes and directions: 
-- Ubiquitous/Pervasive computing
-- Internet of Things, Industrial Internet of Things  and Web of -Things
-- Digital Twins
-- Smart Environments and technologies

2 - PERVASIVE SOFTWARE ENGINEERING

- Introduction to models, architectures, techniques and technologies that can be used to engineer pervasive software systems and large-scale software systems
-- Modeling pervasive contexts - probabilistic models, decision problem & autonomous decision making, large-scale models
-- Design and Programming paradigms and technologies
--- intelligent agent and multi-agent systems models, architectures, technologies for developing pervasive systems and autonomous decision-making techniques
-- Architectural patterns, middlewares and infrastructures for pervasive systems and large-scale software systems

3 - APPLICATIONS AND EXPLORATIONS

- Discussion and evaluation of main application domains for pervasive systems
- Research directions

 

    Readings/Bibliography

    - Selected set of scientific papers

    Teaching methods

    The course is developed by means of a set of lectures (~3 CFU) and activities in lab (~3CFU).

    Lectures are based the discussion of a selected set of reference papers and of the notes/slides provided by the teachers.

    Laboratory activities concern: (1) activities devoted to practice with models, techniques, technologies and tools discussed in the theory; (2) the development of a project.

    Assessment methods

    Two modalities (students' choice):

    - development of a project, to be presented and discussed during a colloquium;

    - writing a paper, either an original contribution or a survey/deepening about some course topic - to be presented and discussed during a colloquium.

     

    Teaching tools

    - Selected set of scientific papers

    - Notes/slides provided by the teachers

     

    Links to further information

    https://elearning-cds.unibo.it/course/view.php?id=11691

    Office hours

    See the website of Alessandro Ricci

    See the website of Mirko Viroli