Hours:
12 hours (3 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, via G. Caruso 16, Pisa – Ground Floor

Nota:
L'ultima lezione è stata anticipata al 21 febbraio 2017 al pomeriggio: orario 15:00 - 18:00, sempre nell'Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, via G. Caruso 16, Pisa

Sito web del Corso:
http://wafi.iit.cnr.it/angelica/teaching/2017_sw_phd/

Short Abstract:
The Semantic Web transforms the Web of documents to the Web of Data. While the Web of documents is represented mainly by hyperlinks among Web pages, the Web of Data connects data, thus providing a mechanism to discover new relationships among resources and concepts.
The Linked Data paradigm is one of the main concepts behind the Semantic Web. Linked Data is a set of best practices to connect structured data over the Web. The aim of this series of lectures is to give an overview of the basic concepts of Semantic Web and Linked Data and to provide students with some tools used within the Linked Data world.

Course Contents in brief:

Theory

• Motivation
• Basics of Semantic Web
• Linked Open Data (LOD)
  • Best practices to publish in LOD
  • Licenses problems
  • Maintenance
• Data Model
  • RDF
  • Common ontologies
• Data Interlinking
• SPARQL

Laboratory

• Use case definition
• Setup of a LOD node with D2R
• Data browsing with LodLive
• Data linking with Silk

Schedule:

• 2017/02/01– 10:00 – 13:00
• 2017/02/08 – 10:00 – 13:00
• 2017/02/15 – 10:00 – 13:00
• 2017/02/21 – 15:00 – 18:00 (data e orario modificati rispetto a quanto inizialmente previsto)
  

Hours:
10 hours (3 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
Rapid prototyping is a group of techniques used to quickly fabricate a scale model of a physical part or assembly using three-dimensional computer aided design (CAD) data. Construction of the part or assembly is usually done using 3D printing or "additive layer manufacturing" technology. The process starts from a 3D model of a solid object obtained from CAD or from tomographic data such as CT scan. The thus digitized model is processed till ready for layer-by-layer reconstruction using 3D printing. Rapid prototyping is becoming an essential tool for all engineers, enabling rapid materialization of ideas. This course will give students a practical glimpse into the emerging field of digital printing.

Course Contents:
Starting from the physical principles underlying the fabrication procedures, the course will introduce the additive manufacturing technologies available for making functional prototypes for applications in various engineering fields. A lab session, with practical example, from design to manufacturing will close the course.

Schedule:

• Day 1 – 6/02/2017, from 9.30-12.30
• Day 2 – 13/02/2017 from 9.30-12.30
• Day 3 – 20/02/2017, from 9.30-13.30

Hours:
20 hours (5 credits)

Room:
Aula ADII3, Polo B Ingegneria, via G. Pisano

Introduction & motivations.:
Many complex systems developed by engineers (e.g. labs on chips, iPads, magnetic resonance imaging scanners, nationwide electrical/gas/oil transportation network, buildings/automotive/aircraft frames) or found in nature (e.g. the human cardiovascular system, the brain neural network, biological systems, the geophysical network of oil/water/gas reservoirs) can be viewed as large collections of interconnected dynamical system components. The performance and characteristics of each individual component, and hence the entire system, critically depend on what engineers or scientists refer to as "second-order effects". In addition, components are often affected by random uncertainties in material properties and geometries.

Target goal:
Provide students access to the state of the art in modeling, simulation, model order reduction and uncertainty quantification of a large variety of complex and multi-disciplinary dynamical systems, in order to help them with their diverse research projects involving modeling, analysis, design and optimization problems in a variety of different engineering and science disciplines dealing with complex systems: e.g. Electrical Engineering (interconnect networks including parasitics; full-wave electromagnetic structures; analog and digital circuits including nonlinear semiconductor devices and Micro­Electro­Mechanical Devices), Mechanical Engineering (frame modeling, heat diffusion, fluid-dynamics and oil transport), Civil Engineering (structural problems, vibrations), Material Sciences (inverse problems for identification of material properties), Biomedical Engineering (biochemical reactions and the human cardio­vascular system).

Class project & evaluation:
Students will be working in small teams on a course-long project involving modeling and simulation of a complex system either self-proposed from their own field of research, or chosen from a few examples developed in class. Time in class will include short lectures interleaved by numerous interactive and hands-on activities coordinated by the instructor and supporting the self-proposed projects. Final evaluations will be based on in-class work and interaction with the staff during the course and a final live demo presentation of their project. The focus of the course will not be on mathematical formalism and rigorous theorem proving, but rather on developing general intuition, creativity, practical implementation and model debugging skills.

Prerequisites:
Basic calculus, differential equations, linear algebra as well as some basic programming experience in Matlab, or in other programming languages for scientific computing.

Schedule:

• Day1 – June 5 – 9:30-12:30, 14:00-16:30
• Day2 – June 6 – 9:30-12:30, 14:00-16:30
• Day3 – June 7 – 9:30-13:30
• Day4 – June 8 – 10:30-12:30
• Day5 – June 9 – 10:30-12:30, 14:00-16:30

Hours:
20 hours (5 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
An e-Infrastructure is a distributed network of service nodes, residing on multiple sites and managed by one or more organizations. e-Infrastructures allow scientists residing at distant places to collaborate. They offer a multiplicity of facilities as-a-service, supporting data sharing and usage at different levels of abstraction, e.g. data transfer, data harmonization, data processing workflows etc. e-Infrastructures are gaining an important place in the field of biodiversity conservation. Their computational capabilities help scientists to reuse models, obtain results in shorter time and share these results with other colleagues. They are also used to access several and heterogeneous biodiversity catalogues.

In this course, the D4Science e-Infrastructure will be used to conduct experiments in the field of biodiversity conservation. D4Science hosts models and contributions by several international organizations involved in the biodiversity conservation field. The course will give students an overview of the models, the practices and the methods that large international organizations like FAO and UNESCO apply by means of D4Science. At the same time, the course will introduce students to the basic concepts under e-Infrastructures, Virtual Research Environments, data sharing and experiments reproducibility and repeatability. Hands-on exercises, using on-line Web interfaces, will allow students to practically apply models to a number of datasets and will practically show how a Computer Science system can meet modern Open Science requirements.

Course Contents in brief:

• e-Infrastructures and for Virtual Research Environments
• Practice with the D4Science e-Infrastructure
• Geospatial data visualization and representation
• Statistical models for species distribution modelling
• Accessing large heterogeneous biodiversity data catalogues
• Signal processing of biodiversity-related observations
• Machine Learning applied to species observation records
• Lexical search in large taxonomic trees
• Cloud computing applied to biodiversity analyses

Schedule:

May 08-12, 2017

• Day 1. Introduction to e-Infrastructures, Virtual Research Environments and Large Biodiversity Catalogues– 9.00 – 13.00
• Day 2. Geospatial data descriptions, catalogues and visualization – 9.00 - 13.00
• Day 3. Trends analysis of species observation records and environmental data– 9.00 - 13.00
• Day 4. Data Processing: operations on large species datasets and taxonomic trees – 9.00 – 13.00
• Day 5. Data Processing: species distribution modelling using machine learning techniques and Cloud computing– 9.00 – 13.00

Hours:
20 hours (5 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
Over the past few years, there has been an increasing level of research activities worldwide to design and performance analysis for the future multiservice networks, namely M2M and D2D communications over the LTE networks, P2P live streaming networks. Our course outlines how mathematical models are being used to address current issues concerning quality of service and performance parameters of the modern and future networks. We shall first show models based on the teletraffic and queuing theory and reflecting key features of admission control mechanisms in the LTE network. We also show some stochastic geometry problems of the interference analysis in D2D wireless networks. Finally, we are discussing the problem of peer-to-peer streaming network simulation taking into account several types of selection strategies: neighbor selection strategy, peer selection strategy and chunk selection strategy. There should be great opportunities for the scientific community to contribute to solution of these problems in the forthcoming decade.

Course Contents in brief:

• Topic 1 New paradigm in telecommunications and shift in teletraffic theory (2 hours)
• Topic 2 Modeling access delay of MTC devices over LTE-A network (6 hours)
• Topic 3 Stochastic geometry models and SIR analysis in D2D wireless networks (6 hours)
• Topic 4 Modeling selection strategies of the P2P streaming network (6 hours)

Schedule:
April 3 to 7, 2017: 9:00-13.00 each day

Hours:
27 hours (6 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
The intent of the course is to give a general overview of the complex mechanism that, starting from a simple idea, leads to the manufacturing of a microelectronic device. The environment of a big company as STMicroelectronics will be presented as well as the fundamentals steps of the manufacturing path. During the course, the importance of the research and development and the value of the knowledge will be discussed in the frame of the willingness of a corporate social responsibility.

Course Contents in brief:

• Introduction to the course (M.Morelli) 19/06
• ST company overview and its Technical Staff community presentation (S.Fulgoni) 19/06

Application overview:

• Ultrasound for Health (G.Ricotti) 19/06
• Magnetic Sensors (M.Marchesi) 19/06
• Micro Electro Mechanical System (MEMS) for motion (P.Pesenti) 20/06

Manufacturing steps overview:

• MEMS Technology (A.Sciutti) 20/06
• Package platform and co-design challenges (G.Graziosi) 20/06
• Reliability (A.Mancaleoni) 21/06
• Testing (D.Appello) 21/06
• Process Technology (M.L.Polignano) 21/06
• Failure Analysis (M.Merlotti) 22/06

ST's culture

• Technology Research and Development (G.Croce) 22/06
• Thoughts on Creativity (M.Morelli) 22/06
• Social Sustainability (L.Fracassini) 23/06
• Conclusions (M.Morelli) 23/06

Schedule:

• Monday 19/06
  • 10:30 – 11:00 Introduction to the course
  • 11:00 – 12:00 ST Company overview and its Technical Staff Community presentation
  • 13:30 – 15:30 Ultrasound for Health
  • 15:30 – 17:30 Magnetic Sensors
• Tuesday 20/06
  • 10:30 – 12:30 Micro Electro-Mechanical System (MEMS) for motion
  • 14:00 – 16:00 MEMS Technology
  • 16:00 – 18:00 Package platform and co-design challenges
• Wednesday 21/06
  • 10:30 – 12:30 Reliability
  • 14:00 – 16:00 Testing
  • 16:00 – 18:00 Process Technology
• Thursday 22/06
  • 10:30 – 12:30 Failure Analysis
  • 14:00 – 16:00 Technology Research and Development
  • 16:00 – 18:00 Thoughts on Creativity
• Friday 23/06
  • 10:30 – 12:30 Social Sustainability
  • 14:00 – 16:00 Conclusions

Hours:
20 hours (5 credits)

Room:
Aula Riunioni Dipartimento di Ingegneria dell'Informazione, Largo L. Lazzarino, Pisa – 6th floor
March 9, 2017: Aula Riunioni Dipartimento di Ingegneria dell'Informazione, via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
The landscape of computing systems has gone quite far since the flourishing of mainframes in the 50s, crossing a number of (r)evolutionary ages characterized by the availability of more and more computing power and better connectivity among nodes, up to the massively parallel & distributed nature of nowadays' data centers for enterprise applications, high-performance computing and cloud computing. The exploitation of complex hardware platforms made of multiple interconnected computing units has fostered the development of rigorous approaches in devising proper distributed algorithms to cope with the inherent problems of such a setting.
This course provides an overview of the challenges and solutions for building distributed systems, ranging from fundamental concepts about distributed algorithms, consistency and interaction paradigms, to the plethora of issues in building large-scale, fault-tolerant, distributed and replicated real-time cloud services with industrial-grade availability and spanning across thousands or even millions of machines worldwide. The course focuses on design, development, operation, and analysis of scalable software systems, covering also basic concepts on architectures of data-centre/cloud infrastructures.

Course Contents in brief:

• Distributed systems: models
  • Synchronous vs. asynchronous models
  • Precedence and causality
• Unconventional models
• Distributed algorithms
  • Role of assumptions
  • Classical problems and solutions
• Support for distributed computations
  • CPU-intensive loads
  • Enterprise systems
  • Frameworks for data-intensive computing
• Cloud Computing
  • Basic concepts
  • Scalability and elasticity in cloud systems
  • Fault-tolerance and replication
  • Real-time cloud services
  • Operations, monitoring and devops engineering
• Platforms
  • Overview of existing cloud services & tools

Schedule:

Day1 – March 1, 2017, from 9:30 to 11.30 (Bechini)
Day2 – March 2, 2017, from 14:30 to 17.30 (Bechini)
Day3 – March 3, 2017, from 14:30 to 17.30 (Bechini)
Day4 – March 6, 2017, from 9:30 to 11.30 (Cucinotta)
Day5 – March 7, 2017, from 14:30 to 16.30 (Cucinotta)
Day6 – March 9, 2017, from 14:30 to 16.30 (Cucinotta, Aula Riunioni via Caruso)
Day7 – March 13, 2017, from 9:30 to 11.30 (Cucinotta)
Day8 – March 14, 2017, from 14:30 to 16.30 (Cucinotta)
Day9 – March 16, 2017, from 14:30 to 16.30 (Cucinotta)

Hours:
20 hours (5 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, Largo Lucio Lazzarino 1, Pisa – Aula Riunioni Piano 6

Short Abstract:
Advanced therapies are innovative approaches to tackle unmet needs in medicine using new products based on a combination of biological entities and intelligent materials, the so-called "bio-hybrids". Engineers can significantly contribute to the design and implementation of these strategies by using their knowledge of multifunctional design and nanotechnology but are in need of additional understanding on how these enabling technologies interact with the living environment.

In this context, the course will inform engineers on the mechanisms that regulate the interaction of cells with the extracellular matrix, with special focus on molecular interactions developing at the nanoscale, and use these principles to illustrate how advanced, Nature inspired medical products can be designed and engineered. Selected, successful case studies will be illustrated as well.

Course Contents in brief:

• The biosynthetic interface: mechanisms and models (2 hrs)
• Design of Biomimetic Materials and Surfaces through Nanotechnology (4 hrs)
• Theranostic Nanoparticles (6 hrs)
• A Nanotechnology Case Study: the use of engineering design rules and modeling for generating biohybrid constructs (6 hrs)
• Nanotechnology and gene delivery (2 hrs)

Schedule:

• Day1 – 28 November 2016, from 8.30-12.30
• Day2 – 2 December 2016, from 9.00-13.00
• Day3 – 5 December 2016, from 9.00-13.00
• Day4 - 16 December 2016, from 9.00-13.00
• Day5 - 19 December 2016, from 9.00-13.00
• Day6 - 9 January 2017, from 9.00-13.00

Hours:
15 hours (4 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
Registering visual data of different type is becoming an important task in many applications such as appearance acquisition of real objects, video navigation, video editing, and data visualization. In this course, we focus mainly on the algorithms to align images on 3D objects/scenes. After a brief introduction about Computer Vision and Computer Graphics, some of the most used features detectors and descriptors for images and geometric data are presented. Then, the state of the art in image-geometry registration is discussed in depth and some of the most representative methods analyzed. Finally, we discuss recent studies about specific applications such as the registration of paintings/drawing on a 3D scene, the navigation of video through the alignment of their respective underlying geometric content and the trend in scene understanding by exploiting the relationships between natural images and large collections of 3D models.

Course Contents in brief:

• Introduction
  • Goal of the course
  • Computer Graphics
    • 3D scene representation
    • Rendering
  • Computer Vision Topics
• Features Detectors and Descriptors for Images
  • Corners and Edges
  • Scale-Invariant Features Transform (SIFT)
  • Speed-up Robust Features (SURF)
  • Histogram of Oriented Gradients (HOG)
  • Binary descriptors (BRIEF and BRISK)
• Features Detectors and Descriptors for Geometric Data
  • Spin-images
  • MeshDOG e MeshHOG
  • SIFT-inspired (meshSIFT e LD-SIFT)
  • Heat Kernel Signature (HKS)
  • Range maps alignment
• Image-geometry registration
  • Problem formulation
  • Fixed-relative methods
  • Feature-based methods
  • Statistical methods
  • Multi-View methods
• Recent advances and applications
  • Painting-to-3D scene registration
  • Video-to-geometry registration
  • Joint properties of images and 3D models for scene understanding

Schedule:

• Day 1 (10:00 - 13:00) – Introduction
• Day 2 (10:00 - 13:00) – Features based detectors and descriptors for images
• Day 3 (10:00 - 13:00) – Features based detectors and descriptors for geometric data
• Day 4 (10:00 - 13:00) – Image-geometry registration
• Day 5 (10:00 - 13:00) – Recent advance and applications

Hours:
16 hours (4 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
This lecture gives and introduction to RF engineering and beam instrumentation techniques for charged particle accelerators, tailored for electrical engineers. The lecture is based on material tough at the JUAS and CERN Accelerator Schools, as well as on tutorials given at related workshops and conferences. Permitting time and equipment, a few computer and laboratory exercises will add some practical examples and hands-on experience.

Course Contents in brief:

• Introduction to charged particle accelerators
• RF engineering
• Beam instrumentation techniques
• Accelerator applications (job opportunities)

Schedule:

• Day 1 – 23 May 2016
• Day 2 – 24 May 2016
• Day 3 – 25 May 2016
• Day 4 – 26 May 2016