Since 2024, the PhD programs in Mathematics of the Universities of Sapienza, Tor Vergata and Roma Tre in Rome organize in a joint way some core institutional courses on key research topics in the areas of Algebra & Geometry, Analysis, Probability & Mathematical Physics, Logic & History & Didactics, Numerical Analysis & Informatics, presenting advanced research arguments, as compared to master courses, but basic and fundamental, from the point of view of modern research in mathematics. All the PhD students of the three programs are invited to attend at least two of them. In addition to the core courses, the three PhD programs offer a variety of more advanced and specialistic courses, listed and described in this webpage.
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Webmasters: Domenico Monaco (Sapienza), Hendrik Speleers (Tor Vergata), Fabrizio Barroero (Roma Tre).
PhD in Mathematics at Sapienza, Department of Mathematics "Guido Castelnuovo"
PhD in Mathematical Models for Engineering, Electromagnetism and Nanosciences at Sapienza, Department of Basic and Applied Sciences for Engeneering (SBAI)
PhD in Mathematics at Tor Vergata
PhD in Mathematics at Roma Tre
Course offered by: Sabino Di Trani (Sapienza)
Duration: 21h
Period: October - December 2025
Program
Available here.
Schedule
October: Wednesday 8, 10:00-13:00; Tuesday 14, 11:00-13:00; Wednesday 22, 10:00-13:00
November: Wednesday 5, 10:00-13:00; Tuesday 11, 11:00-13:00; Wednesday 19, 11:00-13:00; Tuesday 25, 11:00-13:00
December: Tuesday 2, 11:00-13:00; Wednesday 10, 11:00-13:00.
All lectures will take place in Room L at the Department of Mathematics "Guido Castelnuovo", Sapienza.
Course offered by: Gianluca Pacienza (Institut Élie Cartan de Lorraine)
Duration: 8h
Period: February 2026
Program
TBD.
Schedule
February: Monday 16, Wednesday 18, Monday 23, Wednesday 25.
All lectures will take place in Room L at the Department of Mathematics "Guido Castelnuovo", Sapienza, from 10:30 to 12:30.
Course offered by: Lorenzo Foscolo (Sapienza)
Duration: 20h
Period: February - March 2026
Program
The course will be an introduction to the theory of Riemannian holonomy groups and the geometry of manifolds with special holonomy. After an introduction to holonomy and Berger’s classification of holonomy groups of irreducible non-symmetric Riemannian manifolds, we will concentrate on the Ricci-flat holonomy groups SU(n), Sp(n), G2 and Spin(7). The second part of the course will focus on constructions of complete non-compact and compact Ricci-flat manifolds with special and exceptional holonomy.
Rough outline of the lecture contents:
Berger’s classification of the Riemannian holonomy groups. (Principal bundles and connections, the Levi-Civita connection, parallel transport, Berger’s classification.)
The Ricci-flat holonomy groups. (Calabi-Yau, hyperkähler, G2 and Spin(7) metrics, Ricci-curvature and topology, structure results for Ricci-flat manifolds.)
Kähler Ricci-flat metrics. (Kähler and complex geometry, the Calabi Conjecture, compact Calabi-Yau and hyperkähler manifolds.)
Bundle constructions of complete non-compact manifolds with special holonomy. (Calabi Ansatz, Bryant-Salamon’s asymptotically conical manifolds with exceptional holonomy.)
Kummer-type constructions of compact manifolds with special holonomy. (The Kummer construction of hyperkähler metrics on the K3 surface, Joyce’s construction of compact manifolds with exceptional holonomy.)
Recommended reading
A good reference for the course is
D. Joyce, Compact manifolds with special holonomy. Oxford Mathematical Monographs. Oxford University Press, Oxford, 2000.
Prerequisites
Basic knowledge in differential and Riemannian geometry.
Schedule
February: Tuesday 3, Thursday 5, Tuesday 10, Tuesday 17, Tuesday 24, Thursday 26
March: Tuesday 3, Thursday 5, Tuesday 10, Thursday 12
All lectures will take place in Room F at the Department of Mathematics "Guido Castelnuovo", Sapienza, from 14:30 to 16:30.
Course offered by: Giacomo Cherubini (INdAM)
Duration: 16h
Period: February - April 2026
Program
Arithmetic functions; multiplicative functions, L-functions of degree 1. Examples.
Congruence groups and Fuchsian groups. Definitions of modular forms and automorphic forms. Examples.
Poisson summation in R^n. Spectral theorem for automorphic forms.
The pretrace formula. Applications: Hyperbolic circle problem.
Selberg's trace formula. Applications: Prime Geodesic Theorem.
Kuznetsov formula and Kloosterman sums formula. The Linnik-Selberg conjecture on sums of Kloosterman sums.
Schedule
February: Thursday 5, 19, 26;
March: Thursday 5, 12, 19, 26;
April: Thursday 2.
All lectures will take place in Room F at the Department of Mathematics "Guido Castelnuovo", Sapienza, from 10:00 to 12:00.
Course offered by: Guido Pezzini (Sapienza)
Duration: 20+20h
Period: March-June 2026
Program
Foundations of algebraic linear groups and their representations
Linearly reductive groups
Quotients and geometric invariant theory
Schedule
Every Tuesday, starting March 17, from 15:30 to 18:30 in Room F (Department of Mathematics "G. Castelnuovo", Sapienza)
Webpage
Further information on the course are available at the dedicated webpage.
Course offered by: Eugenio Landi (Sapienza)
Duration: ≥12h
Period: March-April 2026
Program
The course will be an introduction to the theory of model categories and abstract homotopy theory. After the basic definitions (model structures, homotopy categories, Quillen functors) we will study homotopy limits and colimits, some useful properties of model categories and their relation to (∞,1)-categories. Time permitting we will talk about operads and the homotopy transfer theorem.
Course offered by: Igor Sikora (Bilkent University)
Duration: 8h
Period: October 26-30, 2026
Program
TBD
Course offered by: Sachin Gautam (Ohio State University)
Duration: TBD
Period: TBD
Program and References
Available here.
Course offered by: Lucia Di Vizio (Université de Versailles-St Quentin)
Duration: TBD
Period: TBD
Program
Available here.
Course offered by: Luca Francone and Martina Lanini (Tor Vergata)
Period: November 2025 - September 2026
Program
It is an informal gathering taking place every Friday consisting of different modules (sometimes offered as a reading course) on various topics which will depend on the audience interests (among the possible topics, quiver representations, quiver Grassmannians, King’s stability spaces, flag varieties, perverse sheaves, representations of affine Lie algebras, Kazhdan-Lusztig theory.
Schedule
Every Friday at 11:00-13:00, starting on November 7, 2025 in Room Dal Passo at the Department of Mathematics, Tor Vergata.
Course offered by: Efthymios Sofos (Tor Vergata)
Duration: 20h
Period: November 2025 - January 2026
Program
In the first half of the course we will cover the theory of the famous paper of Riemann on the zeta function and the prime numbers. This will include the Riemann hypothesis and the proof of the Explicit Formula and the prime number theorem. In the second half of the course we will see how this theory is used in research today in 2 topics in Arithmetic Geometry. The first topic is Serre's problem on the probability that a random Diophantine equation has a solution. The second topic is Goldfeld's conjecture on the probability that a randomly chosen elliptic curve with integer coefficients has infinitely many rational solutions.
Schedule
November 4: Definition of the zeta function and basic properties – Poisson summation, functional equation for the zeta function
November 11: Prerequisites on Euler's Gamma functions, integral functions of order 1 – infinite products (Weierstrass' theorem)
November 18: Zero free region – number of zeros in boxes
November 25: Explicit formula
December 2: Proof of the Prime Number Theorem, statement and consequence of the Riemann Hypothesis – Selberg-Delange method, Large sieve for quadratic characters
December 9: The field of p-adic numbers, Hilbert symbols, Hilbert reciprocity – Hasse's local-global principle for quadratic hypersurfaces
December 16: Friedlander-Iwaniec's 2010 paper "Ternary quadratic forms with rational zeros" on Serre's problem
January 5 and 13: Theory of elliptic curves
January 20: Heath-Brown's 1993 paper "The size of Selmer groups for the congruent number problem" that is connected to averages of ranks of elliptic curves
All lectures will take place on Tuesday at 11:00-13:00 in Room D'Antoni at the Department of Mathematics, Tor Vergata.
References
H. Davenport. Multiplicative Number Theory. Graduate Texts in Mathematics, vol. 74, Springer (1980)
J.-P. Serre. Spécialisation des éléments de Br2(Q(T1,…,Tn)), C. R. Acad. Sci. Paris Ser. I Math., pages 397-402 (1990)
D.R. Heath-Brown. The size of Selmer groups for the congruent number problem. Invent. Math. 111(1), pages 171-196 (1993)
Course offered by: Sara Scaramuccia (Tor Vergata)
Duration: 20h
Period: January - February 2026
Program
The main topic of the course is to introduce computational aspects in applied topology, computational topology, in order to provide the main mathematical ingredients to the the rather new field of research called Topological Data Analysis - TDA. TDA aims at capturing the shape of data as a robust and multiscale descriptor to be integrated in data handling: classification, comparison, multidimensional reduction, etc. First, we deal with the constructions from data to simplicial complexes according to the kind of data: filtrations of data, point clouds, networks, and topological spaces. For each construction, we underline the possible dependence on a fixed scale parameter. Secondly, we introduce the necessary algebraic structures capturing topological informations out of a simplicial complex at a fixed scale, namely the simplicial homology groups. The so-obtained linear structures are then integrated into the multiscale framework of persistent homology where the entire persistence information is encoded in algebraic terms and the most advantageous persistence summaries available in the literature are discussed. Finally, we introduce the necessary metrics in order to state properties of stability of the introduced multiscale summaries under perturbations of input data. At the end, we give an overview of applications of persistent homology as well as a review of the existing tools in the broader area of TDA.
Website of the course: available here.
Schedule
From January 15 to February 17, 2026, every Tuesday & Thursday at 14:30-16:00 in Room 1200, Department of Mathematics, Tor Vergata.
Course offered by: Victor Turchin (Kansas State University)
Duration: 30h
Period: February - March 2026
Program
The goal of the course is to provide an introduction to the manifold functor calculus and its modern reformulation in the operadic language. The main application that we will consider is the delooping problem for many types of mapping spaces: disc embedding spaces relative to the boundary, more general spaces of disc maps avoiding a fixed type of a multi-singularity (such as non-k-equal immersions), disc concordance embeddings, etc. We will also discuss the smoothing theory approach to delooping of diffeomorphism and embedding spaces.
Schedule
From February 9 to March 30, 2026, every Monday & Thursday at 11:00-13:00 in Room D'Antoni, Department of Mathematics, Tor Vergata.
Course offered by: Sandro Verra (Roma Tre)
Duration: 20h
Period: 2 April - 28 May 2026
Program
Geometry of linear systems of quadrics
Determinantal equations of planar curves
Vector bundles on curves, Picard group
Surfaces in P^3: classical examples
Cremona transformations in P^3: classical examples
Geometry of the line and Segre classes
The cubic hypersurface of P^4
Rational cubic hypersurfaces in P^5
Unirationality problems for hypersurfaces in P^n
Course offered by: Enrico Rogora (Sapienza - History), Benedetto Scoppola (Tor Vergata - Didactics), Lorenzo Tortora de Falco (Roma Tre - Logic)
Duration: 36h
Period: TBD
Theme 1. Didactics
Euclid's algorithm in arithmetics (GCD) and number theory (continued fractions)
Propotions with integer elements: the results from Book VII
Powers and continued proportions
Incommensurables
Theme 2. Logic
The “Logic” module (12 hours) of the institutional PhD course “Didactics, Logic and History of Mathematics” will be held at the Department of Mathematics and Physics of Roma Tre University (room to be determined) during the month of April 2026, following the provisional program attached below.
The course will consist of 4 meetings of 3 hours each, either on a weekly basis (from Monday 30 March to Friday 24 April) or on a biweekly basis (from Monday 13 April to Friday 24 April).
The instructors will be Lorenzo Tortora de Falco (Roma Tre University) and Lionel Vaux (Aix-Marseille Université).
Call for Interested Students: In order to better determine both the dates and the content of the course, interested students are asked to come forward, briefly presenting their academic background (with particular reference to any Logic courses they have already taken) by sending an email to: tortora@uniroma3.it BY MARCH 1, 2026.
Program of the Course
Part 1 (6h): General Proof Theory
Satisfiability and provability. Fundamental theorems of first-order logic (Canonical Analysis)
Gentzen and the cut-elimination theorem
Proofs and programs: Curry–Howard correspondence
Part 2 (6h): Logical Proofs as Graphs (Linear Logic)
Graphs and colorings: Yeo’s theorem and variants
Proof nets: a graphical language for Linear Logic proofs
Graph theory meets proof theory: correctness criteria
Cut elimination as graph rewriting
Theme 3. History
Lagrange
Ruffini-Abel's theorem
Abel's work on equations and elliptic functions
Galois' contribution
Analytical solutions to equations of fifth degree
Galois-Klein theory
Course offered (in Italian) by: Paolo Freguglia (L'Aquila)
Duration: 12h
Period: November - December 2025
Program and References
Available here.
Schedule
November: Tuesday 11, 14:00-16:00; Wednesday 12, 9:00-11:00; Tuesday 18, 14:00-16:00; Wednesday 19, 9:00-11:00;
December: Tuesday 2, 14:00-16:00; Wednesday 3, 9:00-11:00.
All lectures will take place in Room F at the Department of Mathematics "Guido Castelnuovo", Sapienza.
Course offered (in Italian) by: Enrico Rogora (Sapienza)
Duration: 12h
Period: November-December 2025
Program and References
Available here.
Schedule
November: Tuesday 11, 11:00-13:00; Wednesday 12, 11:30-13:30; Tuesday 18, 11:00-13:00; Wednesday 19, 11:30-13:30;
December: Tuesday 2, 11:00-13:00; Wednesday 3, 11:30-13:30.
All lectures will take place in Room F at the Department of Mathematics "Guido Castelnuovo", Sapienza.
Course offered by: Radu Ignat (University of Toulouse) @SBAI
Duration: 20h
Period: January - February 2026
Program
The course aims at presenting the modern mathematical tools used in the study of micromagnetics. This topic lies at the interface between Partial Differential Equations (PDE), Calculus of Variations and Mathematical Physics. More precisely, micromagnetics is the continuum theory of magnetic moments underlying the description of magnetic structures and it is based on a variational principle that is nonconvex, nonlocal and multiscale. The plan is to analyse the pattern formation in ferromagnetic materials, in particular, domain walls, vortices, skyrmions etc. This study raises fundamental mathematical questions (regularity, uniqueness, symmetry, stability, asymptotic analysis etc.) for which various techniques will be presented coming from elliptic PDEs, theory of harmonic maps, scalar conservation laws, Γ-convergence, theory of Ginzburg-Landau etc. More info may be found here. The course is supported by INdAM. Interested students are invited to contact the Lecturer (radu.ignat@math.univ-toulouse.fr).
Schedule
From 16/01/2026 to 14/02/2026, every Tuesday & Friday 14:00-16:00, room 1E, building RM004, SBAI Department, Sapienza.
Course offered by: Massimo Grossi and Angela Pistoia (Sapienza) @SBAI
Duration: 16h
Period: February 2026
Program
Topological degree in finite dimensions, index of a critical point, and the Poincaré-Hopf theorem. Applications to solutions of differential equations: the torsion problem and eigenfunctions of the Laplacian. Overview of solutions on Riemannian manifolds. The implicit function theorem in infinite dimensions. Bifurcation from eigenvalues. The case of a simple eigenvalue. Lyapunov-Schmidt finite-dimensional reduction and applications to nonlinear elliptic problems. Prerequisites: Knowledge of general topology, L^p and Sobolev spaces, and the variational formulation of boundary value problems. Particularly suitable for students with a Master's degree in Mathematics or Physics. Interested students are invited to contact the Lecturers (massimo.grossi@uniroma1.it, angela.pistoia@uniroma1.it).
Schedule
From 05/02/2026 to 26/02/2026, every Monday 16:00-18:00 & Thursday 09:00-11:00, room 1E, building RM004, SBAI Department, Sapienza.
Course offered by: Albert Fathi (ENS Lyon)
Duration: 8h
Period: February 2026
Program
We introduce a framework for the "viscosity theory of the Hamilton-Jacobi equation" on more general metric spaces avoiding any recourse to tangent spaces or PDE’s. This allows for more geometric analysis aspects. It also applies to the space of probability measures on a compact space, allowing for example a better analysis of the action of the "induced action of a geodesic flow" (or an Euler-Lagrange flow) on a candidate for tangent space to the space of probability measures of a Riemannian manifolds, bridging with optimal transport and the recent formidable advances on the geometric and analytic aspects of these probability spaces.
Schedule
Monday, February 2: 11:00–13:00
Wednesday, February 4: 10:30–12:30
Monday, February 9: 11:00–13:00
Wednesday, February 11: 10:30–12:30
All lectures will take place in Room F at the Department of Mathematics "Guido Castelnuovo", Sapienza.
Course offered by: Francescantonio Oliva (Sapienza) @SBAI
Duration: 20h
Period: February-March 2026
Program
Sobolev spaces: approximation by smooth functions, embedding theorems, and the trace theorem. Weak formulation of elliptic boundary value problems: existence of solutions to the Dirichlet problem through minimization or the Lax-Milgram theorem. Elliptic regularity theory. Basics on uniqueness and nonuniqueness phenomena. Heat equation. Conservation laws. This is a draft, it will be adapted based on the audience. Interested students are invited to contact the Lecturer (francescantonio.oliva@uniroma1.it).
Schedule
From 3/02/2026 to 3/03/2026, every Tuesday & Friday 10:30-12:30, room 1E, building RM004, SBAI Department, Sapienza.
Course offered by: Vito Crismale (Sapienza)
Duration: ≥16h
Period: March - April 2026
Program
The main types of Fracture Energies and their mechanical meaning/derivation
The framework of linearized theories for bulk part
The appropriate functional setting
Approximate discrete evolutions
Quasistatic evolutions (Griffith model and approximate cohesive models)
Course offered by: Elvira Zappale (Sapienza) @SBAI
Duration: 20h
Period: March - May 2026
Program
Preliminaries on measure theory; Riesz's representation theorem, Radon-Nykodim derivative, covering thoerems. Functional spaces as BV, BD, BH. The global method for relaxation by Bouchittè-Fonseca-Mascarenhas and further developments of the theory. Intereseted students are invited to contact the Lecturer (elvira.zappale@uniroma1.it).
Course offered by: Gabriella Tarantello (Tor Vergata)
Duration: 20h
Period: March - April 2025
Course offered by: Luigi Chierchia, Michela Procesi (Roma Tre)
Duration: 20h
Period: March - May 2026
Program
Stable and unstable manifolds. Linearization of holomorphic maps and small divisors (Siegel)
Diffeomorphisms of holomorphic vector fields; Poincaré-Dulac Theorem in resonant and non-resonant cases
Tentative schedule
Chierchia: 30/03 (14-16), 01/04 (9-11), 08/04 (9-11), 10/04 (9-11), 13/04 (14-16);
Procesi: 27/04 (14-16), 29/04 (14-16), 04/05 (14-16), 06/05 (14-16), 11/05 (14-16).
Course offered by: Jean Barbier (ICTP)
Duration: 16h
Period: September 2025
Program
Assuming prior knowledge of basic concepts in statistics and probability (in particular, probability distributions, Kullback-Leibler divergence, statistical inference and the Bayes formula), as well as some fundamentals of information theory (in particular, Shannon entropy, the source coding theorem, mutual information, minimum mean-square error, MMSE), the proposed course consists of 12 hours of frontal lectures covering the following topics:
Models in high dimensional inference;
Information-theoretic versus algorithmic limits;
Introduction to random matrix theory;
Spectral phase transition in the spike Wigner model;
Concentration-of-measure in Bayesian optimal inference;
Introduction to the generalised approximate message-passing algorithm.
Additionally, the course includes 4 hours of tutorials covering:
Simulation of the spectral PCA estimator and comparison against the Bayesian estimator obtained by Monte Carlo methods;
Step-by-step derivation of the information-theoretic limit in the spike Wigner model using the replica method.
Course offered by: Fabrizio Zanello (University of Potsdam)
Duration: 8h
Period: December 2025
Website of the course: available here.
Program
In these lectures I will present the algebraic approach to Quantum Field Theory in its simplest framework, namely, on flat Lorentzian spacetimes. First, observables are introduced as elements of an abstract algebra, prior to any representation on some Hilbert space. Then I will outline the appropriate analytical framework, essentially based on microlocal analysis techniques, which allows to interpret a quantum field theory as a deformation quantization of its classical counterpart. Finally, with these notions at hand, I will approach the interaction picture from the point of view of the so-called causal perturbation theory and, if time permits, I will formulate in a mathematically rigorous way the renormalisation problem.
Schedule
Thursday, December 4, 2025 (Room F)
Tuesday, December 9, 2025 (Room L)
Thursday, December 11, 2025 (Room L)
Thursday, December 18, 2025 (Room L)
All lecture take place from 10:30 to 12:30 at the Department of Mathematics of Sapienza.
Course offered by: Pierpaolo Vivo (King's College London)
Duration: 20h
Period: January 12-27, 2026
Program
This is a blackboard course on foundation and modern applications of Random Matrix Theory (RMT). The course will cover the following topics:
Simple classification of random matrix models. Gaussian and Wishart ensembles. Warmup calculations: semicircle and Marčenko–Pastur laws.
Level spacing statistics: Poisson vs Wigner–Dyson.
Coulomb gas method.
Orthogonal polynomial technique and numerical checks.
Largest eigenvalue of a random matrix. Comparison with Extreme Value Statistics for i.i.d. random variables. Tracy–Widom distribution and third-order phase transitions.
The Replica method. Edwards–Jones formalism. Applications to full and sparse matrices (random graphs). Large deviation function of the largest eigenvalue using replicas. Replica theory of random linear systems with quadratic constraints and associated phase transitions.
Free probability. Sum of free random matrices. Blue’s function. R and S transforms.
RMT for high-dimensional data analysis (matrix denoising, spiked models with structured noise, dictionary learning).
In addition, Dr Vivo will deliver two research seminars on his recent activity that combines Statistical Mechanics methods with real-life applications to economics, biology, and legal systems. Dr Vivo will also make himself available to lead short master classes and tutorials on specific topics of interest for the postgraduate cohorts in the department, including hands-on and computational sessions, student-led journal clubs and seminars, collective critical analysis of a recent research paper from a peer-review perspective. Any interested attendee is invited to fill in this form.
Course offered by: Alessandro Ingrosso (Radboud Universiteit)
Duration: 16h
Period: January 12 - January 24, 2026
Program
The course will explore foundational and advanced topics in the Statistical Mechanics approach to Neural Networks and Machine Learning, covering the following topics:
Equilibrium theory of learning in neural networks:
the Gardner approach to learning in simple perceptrons
learning with structured dataset
beyond perceptrons: neural networks with one hidden layer and beyond
kernel renormalization perspective on learning in neural networks
a Random Matrix perspective on learning in large-width neural networks
Dynamics and learning:
online learning dynamics in narrow networks
learning in the neural-tangent-kernel (NTK) regime in large-width networks
recurrent networks: dynamical mean-field theory and dimensionality
Both theoretical lectures and interactive sessions are planned.
Course offered by: Yu Deng (University of Chicago)
Duration: 4+8h
Period: March 2026
Program
In this series of 4 lectures we discuss our recent proof (with Zaher Hani and Xiao Ma) on the long-time derivation of the Boltzmann equation, starting from hard sphere dynamics, under the Boltzmann-Grad scaling law. The proof relies on a layering argument, recursive formulas for cumulants, and construction and analysis of combinatorial structures called molecules.
To facilitate participation by students with different backgrounds, the course will be preceded by two preparatory sessions reviewing the classical theory.
The plan for each lecture is as follows.
Preparatory sessions
Session 1: Sergio Simonella (Sapienza)
Introduction to kinetic limits. A historical and conceptual overview of the derivation of the Boltzmann equation, from early kinetic theory to Lanford's 1975 theorem.
Session 2 - Informal discussion: Mario Pulvirenti (Sapienza)
Interactive Q&A meeting aimed at clarifying foundational aspects of the Boltzmann equation.
Lecture plan (Yu Deng)
Lecture 1: Introducing the brief idea of the proof: dividing long time intervals into short "layers", and deriving recursive formulas for the cumulant at each layer, in terms of molecules.
Lecture 2: Reducing the theorem to estimating integral expressions for each molecule, and introducing the basic cutting operation for analyzing the molecules.
Lecture 3: The cutting algorithm I: identifying the recollisions and reducing the general multiple-layer case to the two-layer case.
Lecture 4: The cutting algorithm II: completing the two-layer case by introducing several basic algorithms and find the correct combinations oof them by studying certain dichotomy.
Schedule
Session 1: Thursday, March 12, 10:00-12:00
Session 2: Tuesday, March 17, 11:00-13:00
Lecture 1: Thursday, March 19, 10:00-12:00
Lecture 2: Tuesday, March 24, 11:00-13:00
Lecture 3: Thursday, March 26, 10:00-12:00
Lecture 4: Tuesday, March 31, 11:00-13:00
All lectures will take place in Sala di Consiglio at the Department of Mathematics "Guido Castelnuovo", Sapienza.
Funded by the European Union (ERC CoG KiLiM, 101125162).
Course offered by: Adriano Barra (Sapienza) @SBAI
Duration: 30h
Period: April - June 2026
Program
The course follows a historical perspective and analyzes explicit mathematical models and methods related to information processing spontaneously achieved by networks of neurons (biological or artificial). After a brief reviewing of key concepts stemming in statistical mechanics, stochastic processes and statistical inference, we start from the first models for the emission of an electrical signal from a single neuron, to move toward the study of their interactions in simple neural architectures, analyzing the statistical learning capabilities that these networks enjoy. In particular, due to the Nobel Prize in Physics awarded in 2024 to John Hopfield and Geoffrey Hinton for their pioneering studies on neural networks, particular emphasis will be placed on their contributions and on the close connections that exist between them. The methodological leitmotif will be the statistical mechanics of complex systems (i.e. Parisi's theory, Nobel Prize in Physics in 2021) with its associated package of observables and typical tools (replicas, overlaps, cavity fields, etc.). Interested students are invited to contact the Lecturer (adriano.barra@uniroma1.it).
Course offered by: Carlangelo Liverani (Tor Vergata)
Duration: 20h
Period: November - December 2025
Program
The problem of micro versus macro
Probability and dynamical systems
Qualitative statistical properties of dynamical systems
Strong dependence on initial conditions and hyperbolicity
Quantitative statistical properties of dynamical systems
Hyperbolic billiards
N hard spheres in a box
Schedule
Tuesday, November 11, 18, 25 at 14:00-16:00, Room: D'Antoni
Thursday, November 13, 20, 27 at 14:00-16:00, Room: D'Antoni
Monday, December 1, 8 at 11:00-13:00, Room: Dal Passo
Wednesday, December 3, 10 at 14:00-16:00, Room: D'Antoni
All lectures will take place at the Department of Mathematics, Tor Vergata.
Course offered by: Lorenzo Dello Schiavo (Tor Vergata)
Duration: 20h
Period: January - February 2026
Program
The course (tentatively: 10 two-hour lectures) will be divided into two parts. The first part (7-8 lectures) will review the theory of Dirichlet forms and their relation to Markov processes. A Dirichlet form is an energy functional (e.g., the Sobolev energy ∫|∇u|^2 dx) with a corresponding generator (e.g., the Laplacian −Δ), and semigroup (e.g., the heat semigroup t ↦ e^(tΔ)). The semigroup is an integral operator that can be represented by a kernel pt(x,dy), the transition kernel of a Markov process on a general state space (e.g., Brownian motion). We will show that this correspondence is essentially bijective, and that almost-sure properties of the Markov process may be deduced from properties of the corresponding form. The second part (2-3 lectures) will explore in detail a single example.
References
M. Fukushima, Y. Oshima, and M. Takeda. Dirichlet Forms and Symmetric Markov Processes. De Gruyter Studies in Mathematics, vol. 19, De Gruyter (2011)
Z.-M. Ma and M. Röckner. Introduction to the Theory of (Non-Symmetric) Dirichlet Forms. Universitext, Springer (1992)
Schedule
From January 7 to February 5, 2026, every Wednesday & Thursday at 14:15-16:00 in Room Dal Passo, Department of Mathematics, Tor Vergata.
Course offered by: Luca Fresta (Roma Tre)
Duration: 20h
Period: February - March 2026
Program
Complex and Grassmann Gaussian integration (Efetov’s supersymmetric method)
Random Schrödinger operators: Wegner and Lifshitz tail estimates
Random matrix theory: Wigner's semicircle law for GUE matrices
Gaussian random band matrices (RBM)
Supersymmetric H^(n|m) non-linear sigma models and probabilistic connections
Tentative schedule
10 lectures in room C309 (Palazzina C, 3rd floor) from 11:00 to 13:00 on the following dates: 10/02, 12/02, 24/02, 26/02, 11/03, 13/03 16/03, 18/03, 20/03, 23/03.
Course offered by: Yoh Tanimoto (Tor Vergata)
Duration: 20h
Period: December 2025 - January 2026
Program
In principle, a mathematical proof should be a logical sequence of claims that uses only the axioms and follows the inference rules. In the last few years, this idea has been realized concretely, to the extent that one can write some recent research results in a programming language, in particular in Lean. In this course, one learns the basics of the formal language Lean, of its library mathlib and of how to write advanced mathematics in Lean.
Schedule
From 10 December 2025 to January 2026, every Wednesday & Thursday at 9:30-11:30 in Room Dal Passo, Department of Mathematics, Tor Vergata.
Course offered by: Daniele Bertaccini (Tor Vergata)
Duration: 20h
Period: May 2026
Course offered by: Vincenzo Bonifaci (Roma Tre)
Duration: 20h
Period: January 13 - February 12, 2026
Website of the course: available here.
Program
Convex sets, convex hulls, Carathéodory’s theorem, polyhedra and polytopes, extreme points, Minkowski’s theorem
Convexity of functions, subgradients, inequalities, convex conjugate
Convex optimization problems, Lagrange duality, KKT optimality conditions
Convex optimization algorithms: gradient, subgradient, mirror descent
Convex optimization modeling software (e.g., CVXPY)
Course offered by: Edoardo Persichetti (Florida Atlantic University)
Duration: 20h during 2 weeks
Period: May - June 2026
Abstract
Code-based cryptography is the area of study which is interested in primitives based on hard problems from coding theory. In recent years, it has seen an exponential increase in importance and volume of research, since it is one of the main areas inside “post-quantum” cryptography, and thus a candidate to secure our communication against quantum threats. In this course, we investigate the main constructions pertaining to code-based cryptography, starting from its inception in the late 1970s, and arriving to modern day. The course will include a refresher of all relevant notions from coding theory and cryptography.
Program
Coding theory refresher
Cryptography refresher
McEliece and Niederreiter
Structured Codes
BIKE and HQC
Signatures