20410408 -
AL310 - ELEMENTS OF ADVANCED ALGEBRA
(objectives)
Acquire a good knowledge of the concepts and methods of the theory of polynomial equations in one variable. Learn how to apply the techniques and methods of abstract algebra. Understand and apply the fundamental theorem of Galois correspondence to study the "complexity" of a polynomial.
|
9
|
MAT/02
|
48
|
24
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410409 -
AM310 - ELEMENTS OF ADVANCED ANALYSIS
|
Also available in another semester or year
|
20410410 -
FM310 - Equations of Mathematical Physics
|
Also available in another semester or year
|
20410411 -
GE310 - ELEMENTS OF ADVANCED GEOMETRY
|
Also available in another semester or year
|
20410445 -
AL410 - COMMUTATIVE ALGEBRA
(objectives)
Acquire a good knowledge of some methods and fundamental results in the study of the commutative rings and their modules, with particular reference to the study of ring classes of interest for the algebraic theory of numbers and for algebraic geometry.
|
9
|
MAT/02
|
48
|
24
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410413 -
AN410 - NUMERICAL ANALYSIS 1
|
Also available in another semester or year
|
20410447 -
CP410 - Theory of Probability
|
Also available in another semester or year
|
20410416 -
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.
|
|
20410416-1 -
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 |
20410416-2 -
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.
|
3
|
MAT/07
|
30
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410449 -
GE410 - ALGEBRAIC GEOMETRY 1
|
Also available in another semester or year
|
20410417 -
IN410-Computability and Complexity
|
Also available in another semester or year
|
20410451 -
LM410 -THEOREMS IN LOGIC 1
(objectives)
To acquire a good knowledge of first order classical logic and its fundamental theorems.
|
|
20410451-1 -
LM410 -THEOREMS IN LOGIC 1 - Module A
|
Also available in another semester or year
|
20410451-2 -
LM410 -THEOREMS IN LOGIC 1 - Module B
|
Also available in another semester or year
|
20410438 -
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.
|
9
|
SECS-S/06
|
60
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410419 -
MS410-Statistical Mechanics
(objectives)
To acquire the mathematical basic techniques of statistical mechanics for interacting particle or spin systems, including the study of Gibbs measures and phase transition phenomena, and apply them to some concrete models, such as the Ising model in dimension d = 1,2 and in the mean field approximation.
|
9
|
MAT/07
|
48
|
24
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410420 -
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.
|
9
|
MAT/08
|
48
|
24
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410436 -
FS420 - QUANTUM MECHANICS
|
Also available in another semester or year
|
20410442 -
IN420 - Information Theory
(objectives)
Introduce key questions in the theory of signal transmission and quantitative analysis of signals, such as the notions of entropy and mutual information. Show the underlying algebraic structure. Apply the fundamental concepts to code theory, data compression and cryptography.
|
9
|
INF/01
|
48
|
24
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410455 -
LM420 - THEOREMS IN LOGIC 2
(objectives)
To support the students into an in-depth analysis of the main results of first order classical logic and to study some of their remarkable consequences.
|
6
|
MAT/01
|
36
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410469 -
AM430 - ELLITTIC PARTIAL DIFFERENTIAL EQUATIONS
|
Also available in another semester or year
|
20410421 -
AN430- Finite Element Method
|
Also available in another semester or year
|
20410437 -
FS430- Theory of Relativity
|
Also available in another semester or year
|
20410459 -
MC430 - LABORATORY: DIDACTICS FOR MATHEMATICS
(objectives)
1. Mathematics software, with particular attention to their use for teaching mathematics in school. 2. Analysis of the potential and criticality of the use of technological tools for teaching and learning mathematics.
|
6
|
MAT/04
|
48
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410435 -
FS440 - Data Acquisition and Experimental Control
(objectives)
The lectures and laboratories allow the student to learn the basic concepts pinpointing the data acquisition of a high energy physics experiment with specific regard to the data collection, control of the experiment and monitoring.
|
6
|
FIS/04
|
60
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410424 -
IN450 - ALGORITHMS FOR CRYPTOGRAPHY
(objectives)
Acquire the knowledge of the main encryption algorithms. Deepen the mathematical skills necessary for the description of the algorithms. Acquire the cryptanalysis techniques used in the assessment of the security level provided by the encryption systems.
|
6
|
INF/01
|
48
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410425 -
GE460- GRAPH THEORY
(objectives)
Provide tools and methods for graph theory.
|
6
|
MAT/03
|
48
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410426 -
IN480 - PARALLEL AND DISTRIBUTED COMPUTING
|
Also available in another semester or year
|
20410427 -
IN490 - PROGRAMMING LANGUAGES
|
Also available in another semester or year
|
20410428 -
CR510 – ELLIPTIC CRYPTOSYSTEMS
(objectives)
Acquire a basic knowledge of the concepts and methods related to the theory of public key cryptography using the group of points of an elliptic curve on a finite field. Apply the theory of elliptic curves to classical problems of computational number theory such as factorization and primality testing.
|
6
|
MAT/02
|
48
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410470 -
FM510 - MATHEMATICAL PHYSICS APPLICATIONS
(objectives)
To apply methods and tools of mathematical physics to some classes of models of dynamical systems and statistical mechanics, through both theoretical lectures and numerous practical exercises carried out in the computer lab.
|
9
|
MAT/07
|
48
|
24
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410429 -
FS510 - MONTECARLO METHODS
|
Also available in another semester or year
|
20410462 -
GE510 - ALGEBRAIC GEOMETRY 2
(objectives)
Introduce to the study of algebraic geometry, with particular emphasis on beams, schemes and cohomology.
|
6
|
MAT/03
|
48
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410463 -
TN510 - NUMBER THEORY
|
Also available in another semester or year
|
20410432 -
IN550 – MACHINE LEARNING
|
Also available in another semester or year
|
20410434 -
FS450 - Elements of Statistical Mechanics
(objectives)
Gain knowledge of fundamental principles of statistical mechanics for classical and quantum systems.
|
6
|
FIS/02
|
60
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410518 -
AM420 - SOBOLEV SPACES AND PARTIAL DERIVATIVE EQUATIONS
(objectives)
To acquire a good knowledge of the general methods andÿclassical techniques necessary for the study ofÿweak solutions of partial differential equations.
|
6
|
MAT/05
|
48
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410524 -
GE520 - ADVANCED GEOMETRY
|
Also available in another semester or year
|
20410557 -
GE530-Linear algebra for Machine Learning
(objectives)
Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.
|
9
|
MAT/03
|
48
|
24
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410555 -
ST410- Statistics
|
Also available in another semester or year
|
20410560 -
IN400- Python and MATLAB programming
(objectives)
Acquire the ability to implement high-level programs in the interpreted languages Python and MATLAB. Understand the main constructs used in Python and MATLAB and their application to scientific computing and data processing scenarios.
|
|
20410560-1 -
MODULO A - PYTHON programming
|
Also available in another semester or year
|
20410560-2 -
MODULO B - MATLAB programming
|
Also available in another semester or year
|
20410566 -
FS470 - Principles of astrophysics
(objectives)
Provide the student with a first view of some of the fundamental topics of Astrophysics and Cosmology using the mathematical and physical knowledge acquired in the first two years
|
6
|
FIS/05
|
48
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410569 -
FS480 - Reural Networks
|
Also available in another semester or year
|
20410556 -
CP450 - Probabilistic methods and random algorithms
|
Also available in another semester or year
|
20410592 -
LM400 - INTRODUZIONE ALLA LOGICA
(objectives)
To Introduce students to themes, concepts, methods and results of logic that are at the basis of every discipline, in order to provide students - having any kind of background- with a deep interdisciplinary approach and an appropriate training for school teaching
|
6
|
M-FIL/02
|
48
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410529 -
LM510 - LOGICAL THEORIES 1
(objectives)
Address some questions of the theory of the proof of the twentieth century, in connection with the themes of contemporary research
|
6
|
MAT/01
|
36
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410627 -
TN410 - INTRODUCTION TO NUMBER THEORY
(objectives)
Acquire a good knowledge of the concepts and methods of the elementary number theory, with particular reference to the study of the Diophantine equations and congruence equations. Provide prerequisites for more advanced courses of algebraic and analytical number theory.
|
6
|
MAT/02
|
48
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410623 -
CR410-Public Key Criptography
|
Also available in another semester or year
|
20410621 -
MC410 - DIDACTICS OF MATHEMATICS
|
Also available in another semester or year
|
20410613 -
LM430-Logic and mathematical foundations
|
Also available in another semester or year
|
20410444 -
GE430 - RIEMANNIAN GEOMETRY
(objectives)
Introdue to the study of Riemannian geometry, in particular by addressing the theorems of Gauss-Bonnet and Hopf-Rinow.
|
6
|
MAT/03
|
48
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410626 -
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.
|
9
|
MAT/09
|
48
|
24
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410407 -
AC310 - Complex analysis
(objectives)
To acquire a broad knowledge of holomorphic and meromorphic functions of one complex variable and of their main properties. To acquire good dexterity in complex integration and in the calculation of real definite integrals.
|
9
|
MAT/03
|
48
|
24
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410635 -
AM410 - PARTIAL DIFFERENTIAL EQUATIONS
|
Also available in another semester or year
|
20410571 -
FS520 – Complex networks
(objectives)
This course introduces students to the fascinating network science, both from a theoretical and a computational point of view through practical examples. Networks with complex topological properties are a new discipline rapidly expanding due to its multidisciplinary nature: it has found in fact applications in many fields, including finance, social sciences and biology. The first part of the course is devoted to the characterization of the topological structure of complex networks and to the study of the most used network models. The second part is focused on growth and dynamical processes in these systems and to the study of specific networks of this kind.
|
6
|
FIS/03
|
48
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410637 -
AM450 - FUNCTIONAL ANALYSIS
(objectives)
To acquire a good knowledge of functional analysis: Banach and Hilbert spaces, weak topologies, linear and continuous operators, compact operators, spectral theory.
|
9
|
MAT/05
|
48
|
24
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410520 -
AL420 - ALGEBRAIC THEORY OF NUMBERS
|
Also available in another semester or year
|
20410690 -
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.
|
6
|
MAT/08
|
48
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410692 -
ST420 – STATISTICS 2, MATHEMATICAL STATISTICS
|
Also available in another semester or year
|
20410693 -
FM420 - Dynamic Systems
(objectives)
To acquire a solid knowledge on some advanced problems of interest in the theory of Dynamical Systems
|
6
|
MAT/07
|
48
|
12
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410441 -
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.
|
6
|
MAT/06
|
-
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20410773 -
IN570 – Quantum Computing
|
Also available in another semester or year
|