20410140 -
IN430 - ADVANCED COMPUTING TECHNIQUES
(objectives)
Acquire the conceptual skills in structuring problems according to the object-oriented programming paradigm. Acquire the ability to design algorithmic solutions based on the object-oriented paradigm. Acquire the basic concepts related to programming techniques based on the object-oriented paradigm. Introduce the fundamental notions of parallel and concurrent programming
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7
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INF/01
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60
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-
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-
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-
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Related or supplementary learning activities
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ITA |
20410143 -
IN440 - COMBINATORIAL OPTIMISATION
(objectives)
Acquire skills on key solution techniques for combinatorial optimization problems; improve the skills on graph theory; acquire advanced technical skills for designing, analyzing and implementing algorithms aimed to solve optimization problems on graphs, trees and flow networks
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7
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INF/01
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60
|
-
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-
|
-
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Related or supplementary learning activities
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ITA |
20410148 -
IN480 - PARALLEL AND DISTRIBUTED COMPUTING
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Also available in another semester or year
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20410149 -
IN490 - PROGRAMMING LANGUAGES
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Also available in another semester or year
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20410152 -
IN540 - COMPUTATIONAL TOPOLOGY
(objectives)
Introduce the study of computational topology and in particular the concepts, representations and algorithms for topological and geometric structures to support geometric modeling, construction of simulations meshes, and scientific visualization. Acquire techniques for parallel implementation in the representation and processing of large-sized graphs and complexes. Application of sparse matrices, for the implementation of algorithms on graphs and complexes with linear algebraic methods
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7
|
ING-INF/05
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60
|
-
|
-
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-
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Related or supplementary learning activities
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ITA |
20410069 -
FS410 - LABORATORIO DI DIDATTICA DELLA FISICA
(objectives)
Learn statistical and laboratory techniques for the preparation of didactic physics experiments
|
7
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FIS/08
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60
|
-
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-
|
-
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Related or supplementary learning activities
|
ITA |
20402122 -
FS420 - QUANTUM MECHANICS
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Also available in another semester or year
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20410150 -
FS510 - MONTECARLO METHODS
(objectives)
Acquire the basic elements for dealing with mathematics and physics problems using statistical methods based on random numbers
|
7
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FIS/01
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60
|
-
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-
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-
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Related or supplementary learning activities
|
ITA |
20410147 -
IN470- COMPUTATIONAL METHODS IN SYSTEMS BIOLOGY
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Also available in another semester or year
|
20410193 -
ME410 - ELEMENTARY MATHEMATICS FROM AN ADVANCED POINT OF VIEW
(objectives)
Illustrate, using a critical and unitary approach,ÿsome interesting and classical results and notions that are central for teaching mathematics in high school (focussing, principally, on arithmetics, geometry and algebra). The aim of the course is also to give a contribution to teachers training through the investigation on historical, didactic and cultural aspects of these topics
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7
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MAT/04
|
60
|
-
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-
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-
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Related or supplementary learning activities
|
ITA |
20410342 -
FM310 - Equations of Mathematical Physics
(objectives)
To acquire a good knowledge of the elementary theory of partial differential equations and of the basic methods of solution, with particular focus on the equations describing problems in mathematical physics
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7
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MAT/07
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60
|
12
|
-
|
-
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Related or supplementary learning activities
|
ITA |
20410343 -
MC310 - Fundaments of Complementary Mathematics
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Also available in another semester or year
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20402088 -
AN410 - NUMERICAL ANALYSIS 1
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Also available in another semester or year
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20410345 -
CP410 - Theory of Probability
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Also available in another semester or year
|
20402123 -
MA410 - APPLIED AND INDUSTRIAL MATHEMATICS
(objectives)
Present a number of problems, of interest for application in various scientific and technological areas. Deal with the modeling aspects as well as those of numerical simulation, especially for problems formulated in terms of partial differential equations
|
7
|
MAT/08
|
60
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410350 -
MF410 - Computational Finance
(objectives)
Basic knowledge of financial markets, introduction to computational and theoretical models for quantitative finance, portoflio optimization, risk analysis. The computational aspects are mostly developed within the Matlab environment
|
7
|
SECS-S/06
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60
|
-
|
-
|
-
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Related or supplementary learning activities
|
ITA |
20410351 -
ST410-Introduction to Statistics
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Also available in another semester or year
|
20402092 -
AN420 - NUMERICAL ANALYSIS 2
(objectives)
Introduce to the study and implementation of more advanced numerical approximation techniques, in particular related to approximate solution of ordinary differential equations, and to a further advanced topic to be chosen between the optimization and the fundamentals of approximation of partial differential equations.
|
7
|
MAT/08
|
60
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410352 -
CP420-Introduction to Stochastic Processes
(objectives)
Introduction to the theory of stochastic processes. Markov chains: ergodic theory, coupling, mixing times, with applications to random walks, card shuffling, and the Monte Carlo method. The Poisson process, continuous time Markov chains, convergence to equilibrium for some simple interacting particle systems
|
7
|
MAT/06
|
60
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410355 -
AN430- Finite Element Method
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Also available in another semester or year
|
20402101 -
CP430 - STOCHASTIC CALCULUS
(objectives)
Elements of stochastic analysis: Gaussian processes, Brownian motion, probabilistic representation for the solution to partial differential equations, stochastic integration and stochastic differential equations
|
7
|
MAT/06
|
-
|
-
|
-
|
-
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Related or supplementary learning activities
|
ITA |
20410357 -
FS430- Theory of Relativity
(objectives)
Make the student familiar with the theoretical underpinnings of General Relativity, both as a geometric theory of space-time and by stressing analogies and differences with the field theories based on local symmetries that describe the interactions among elementary particles. Illustrate the basic elements of differential geometry needed to correctly frame the various concepts. Introduce the student to extensions of the theory of interest for current research
|
7
|
FIS/02
|
60
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410356 -
FM430-Mathematical Statistical Mechanics
(objectives)
To acquire a solid knowledge of the mathematical theory of statistical mechanics, and of the methods for studying models of interacting particles.
|
7
|
MAT/07
|
60
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410358 -
FS440 - Data Acquisition and Experimental Control
|
Also available in another semester or year
|
20410359 -
FS450 - Elements of Statistical Mechanics
(objectives)
Gain knowledge of fundamental principles of statistical mechanics for classical and quantum systems
|
7
|
FIS/02
|
60
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410371 -
IN450 - ALGORITHMS FOR CRYPTOGRAPHY
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Also available in another semester or year
|
20410363 -
IN520-SECURITY IN TELECOMMUNICATIONS
(objectives)
Introduce the basic concepts of security and then show how to acquire autonomy in updating the understanding in the data and networks security domain. Provide the basic concepts for understanding and evaluating a security solution. Provide the basic knowledge to produce security solutions for small/medium-sized system
|
7
|
ING-INF/03
|
42
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410364 -
IN550 – MACHINE LEARNING
(objectives)
Learn to instruct a computer to acquire concepts using data, without being explicitly programmed. Acquire knowledge of the main methods of supervised and non-supervised machine learning, and discuss the properties and criteria of applicability. Acquire the ability to formulate correctly the problem, to choose the appropriate algorithm, and to perform the experimental analysis in order to evaluate the results obtained. Take care of the practical aspect of the implementation of the introduced methods by presenting different examples of use in different application scenarios
|
7
|
INF/01
|
60
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410347 -
FM410-Complements of Analytical Mechanics
(objectives)
To deepen the study of dynamical systems, with more advanced methods, in the context of Lagrangian and Hamiltonian theory
|
|
-
FM410-Complements of Analytical Mechanics - MODULE A
(objectives)
To deepen the study of dynamical systems, with more advanced methods, in the context of Lagrangian and Hamiltonian theory
|
3
|
MAT/07
|
30
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
-
FM410-Complements of Analytical Mechanics - Module B
(objectives)
To deepen the study of dynamical systems, with more advanced methods, in the context of Lagrangian and Hamiltonian theory
|
4
|
MAT/07
|
30
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |