master program /laurea magistrale in computer science and

Diapositiva 1Master Program /Laurea Magistrale in
Computer Science and Networking
Organizational Matters, Courses, Free-choice Exam (esame a scelta)
Commission of the Master Program Board (Consiglio di Corso di Laurea):
R. Bruni, P. Castoldi, M. Danelutto, S. Giordano, M. Vanneschi,
Laurea Magistrale in Computer Science and Networking
Info
• ENROLMENT deadline: end of September (UE), end of October (non UE)
• Lectures start next Monday, September 21
• See the timetable of first semester: Master Program site pages
(http://compass2.di.unipi.it/didattica/win18/orario/win18en.html)
– WIN: Master Program acronym for our Secretary and Faculty
– Lecture rooms at Polo Fibonacci of University (Pontecorvo area), or at
Excellence Centre of Sant’Anna (CNR area)
– First semester: till Christmas holidays
– Second semester: middle of February – end of May.
• Selection of the Free-Choice Exam (esame a scelta): urgent, if a course of
(starting in) the first semester is selected
– formally, the deadline is end of November.
Professors / Lecturers
Vincenzo Ambriola
Giuseppe Attardi
Fabrizio Baiardi
Roberto Bevilacqua
Chiara Bodei
Antonio Brogi
Roberto Bruni
dell’Informazione
Rosario Garroppo
Stefano Giordano
Michele Pagano
Gregorio Procissi
FIRST YEAR
Distributed Systems: Paradigms and Models 9 Marco Danelutto 1
Algorithm Engineering 6 Paolo Ferragina 1
Advanced Programming 9 Giuseppe Attardi 1
Access, Metropolitan and Core Networks 12 Giancarlo Prati 1, 2
Optical Communication Theory and Techniques 12 Enrico Forestieri 2
High-performance Computing Systems and Enabling Platforms
6 Marco Vanneschi 2
Courses
SECOND YEAR
Software Service Engineering 9 Antonio Brogi …
Models of Computation 9 Ugo Montanari …
Network Management and Configuration 9 Piero Castoldi …
Subsidiary course for individual Study Plan (complementare per Piano di Studi individuale)
9 … …
Subsidiary course for individual Study Plan (complementare per Piano di Studi individuale)
6 … …
Study Plans (Piani di Studio)
Distributed Systems
and Applications
Distributed Systems
and Infrastructures
Distributed Systems
and Architectures
GR6a
• Formally, at enrolment time: just the title of the Study Plan has to be
declared.
• One 9-CFU exam and one 6-CFU exam will be chosen at the Second Year.
• Informally, mixed Study Plans can be built (agreement with the Board
Commission).
FIRST YEAR
Distributed Systems: Paradigms and Models 9 Marco Danelutto 1
Algorithm Engineering 6 Paolo Ferragina 1
Advanced Programming 9 Giuseppe Attardi 1
Access, Metropolitan and Core Networks 12 Giancarlo Prati 1, 2
Optical Communication Theory and Techniques 12 Enrico Forestieri 2
High-performance Computing Systems and Enabling Platforms
6 Marco Vanneschi 2
Courses
Free-Choice Exam (esame a scelta) – 9 CFU, 1st year
• In principle, there is full freedom in selecting this exam.
• A formal proposal is submitted by the student to the Master
Program Board (Consiglio di Corso di Laurea).
• The student proposal is examined by the Board, and possibly
approved.
• The Board recommends a Group of 9-CFU courses (i .e.,
the Group of currently activated 9-CFU subsidiary courses).
• A student proposal belonging to this recommended Group is
automatically approved by the Board.
• Specific demands or preferences of the student will be
discussed with the Board Commission.
Recommended Courses for the Free-Choice Exam
9-CFU Subsidiary Courses Recommended by the Master Program Board
Title Professor Semester
Teletraffic Engineering Stefano Giordano 2
Networking Architectures, Components and Services Michele Pagano 2
Performance and Design Issues of Wireless Networks Rosario Garroppo 1
Applied Optics and Propagation Ernesto Ciaramella 1, 2
Information and Transmission Theory Francesco Romani 1,2
Programming Tools for Parallel and Distributed Systems
Massimo Coppola 2
Network Security Fabrizio Baiardi 2
Complements of Distributed Enabling Platforms Nicola Tonellotto 2
In bold: exams that are suitable for the first year.
Recommended utilization of the Free-Choice Exam
• The Free-Choice Exam should be used to acquire
additional background knowledges
select a course in the Communication area
– e.g.: students with a Bachelor in Computer Engineering
or Electrical Engineering could reinforce their Computer
Science background
choice with the students.
Networks and Technologies for Telecommunications
Piero Castoldi, SSUP
The course objective is to provide the student with a broad overview of the communication
network architectures and protocols and the physical layer technologies for transmitting
data. In addition an introduction on instruments utilized for communication network design
is provided. The course is divided in three modules. The first module on communication
networks introduces the fundamentals of communication networks with regards to all
network layers. Then, the second module on electromagnetic field and propagation details
the network physical layer and it provides the basics of guided and unguided propagation
and data transmission. Finally, the third module on network optimization introduces
instruments for communication network modelling and optimization.
Syllabus
Teletraffic Engineering
Stefano Giordano, UniPi
The course gives the fundamentals concepts related to Teletraffic Theory and its application to
network engineering. The aim of the course is to give the students the capacity of building up and
analyse their own abstraction of basic functions related to telecommunication networks or discrete
state stochastic systems in general. Transient and Steady-state analysis of Discrete and Continuous
Time Markov processes are introduced. Fundamentals concept related to Queueing theory and their
application to circuit and packet switching networks are presented. The analysis of fundamental
performance indexes is carried out, when necessary, by means of the transforms theory (e.g. Laplace,
Zeta). The fundamental theorems related to the tractability of open and closed Queueing Networks are
also presented. The classroom and laboratory (matlab) exercise are aimed to give the student the
ability to carry out the solution of basic cases by proper analytical or numerical methods.
Syllabus
• Queueing networks
Networking Architectures, Components and Services
Michele Pagano, UniPi
The aim of the course is to present the architecture and protocols of modern packet-
switching networks, focusing on the underlying problems and the different solutions
proposed to solve them. In particular, issues related to IPv6, user mobility, multicast
communications, Quality of Service requirements and peer-to-peer networks will be
analysed. The theoretical part of the course will be followed by a lab module, to
experiment how TCP works and how a software router can be built under Linux OS.
Syllabus
Rosario Garroppo, UniPi
The objectives of the course are the presentation of the cellular network evolution,
of the most popular technologies for Wireless LAN and MAN, and of the different
solutions available for the Wireless Mesh Networks (WMN). Furthermore, the
course aims at providing the tools necessary for the design of these networks and
at highlighting their performance problems.
Syllabus
Applied Optics and Propagation
Ernesto Ciaramella, SSUP
This course, which is organised in three modules, will provide the basics of electromagnetic fields and
will deal specifically with the implications in the fields of applied optics and guided transmission,
both through optical fibers or dielectric waveguides, as well as the implications in the domain of
wireless transmission.
Syllabus
• the course module on fundamentals of electromagnetic field and propagation will offer students
an introduction to the fundamental concepts related to electromagnetic theory and will then be
specifically focused on transmission line theory, propagation in dielectric optical waveguides,
fiber and waveguide amplifiers and lasers. A considerable effort will be devoted to the design of
specific fiber and waveguide based optical components, providing the analysis and logic behind
this design in such a way that the student can understand and learn how to apply the fundamental
concepts in order to reach practically useful results. Numerical tools based on the Finite Element
Method for modal analysis will be described, as well as static and dynamic fiber/waveguide
amplifier modelling tools;
• the course module on fundamentals of applied optics will provide basic information about the
nature of lightwave, its physical descriptions and the current applications of optics science;
• the course module on wireless communication networks will provide an overview of wireless
network transmission, technologies and protocols.
Information and Transmission Theory
Francesco Romani, UniPi
The course covers the fundaments of Information Theory introducing the concepts of
Entropy, Coding, Compression, Error Correction. It is intended as a for subsequent studies
dealing with generation, coding and transmission of information.
Syllabus
property.
decipherable codes, the noiseless coding theorem. Optimal code generation. Huffman
codes, arithmetic coding.
• The discrete memoryless channel. Channel capacity, decoding schemes and error
probability. Channel coding, The fundamental Theorem.
• Error correcting codes, block coding, linear codes, decoding algorithms. Cyclic codes,
BCH codes, Reed Solomon Codes and their applications.
Programming Tools for Parallel and Distributed Systems
Massimo Coppola, ISTI-CNR
The course deals with design, evaluation and utilization of programming tools and
environments for parallel and distributed applications. The programming paradigms, and
related cost models, concern high-performance stream- and data-parallel computations,
distributed shared memory, adaptive and context-aware programming, high-performance
event-based programming, real-time programming, programming of fault-tolerance
strategies, and others. For these paradigms, static and dynamic tools are defined and their
performances are evaluated through case studies in experimental and laboratory activites.
Syllabus
• distributed shared memory,
Numerical Techniques for Applications
Roberto Bevilacqua, UniPi
In this course numerical methods are proposed for solving various applicative problems.
Major emphasis is given to the techniques of numerical linear algebra mostly used in applications.
Syllabus
• Basic notions in linear algebra: similar reduction to diagonal and other canonical forms, positive
definite matrices, singular value decomposition, norms, condition number
• Direct methods for linear systems: elementary matrices, LU, LLh, QR, factorizations, Givens
rotations, Cholesky and Householder methods
• Iterative methods for linear systems: classic methods, overrelaxation, conjugate gradient method
• Iterative methods for nonlinear systems: Newton and quasi-Newton methods
• Iterative methods for eigenvalues: conditioning of the problem, power method, LR and QR
methods, reduction to tridiagonal form of a symmetric matrix
• Linear least squares problem: normal equations and SVD
• Methods for tridiagonal matrices: cyclic reduction, Sturm sequences, divide-and-conquer
techniques
• Discrete Fourier Transform: some applications
Network Security
Fabrizio Baiardi, UniPi
This courses introduces the main concepts, tools and methodology to analyze a computer
network system from a security perspective to increase the security level of the system. A
systemic point of view is adopted where security is seen as an inner system property that
involves all the system levels from the operating system one.
Syllabus
Complements of Distributed Enabling Platforms
Nicola Tonellotto, ISTI-CNR
This course develops the issues of the fundamental course on distributed computing
platforms in more depth, in particular Grids and Clouds. This aim is also achieved through
the study of state-of-the-art solutions, the detailed analysis of their technologies and of the
best practices regarding last-generation distributed enabling platforms,
Syllabus
• Development of concepts and techniques for Grid computing in depth
• Grid computing components and solutions
• Resource virtualization
• Virtualization technologies
• Development of concepts and techniques for Cloud computing in depth
• Applications tools for grid and cloud Computing

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