Curricular Proposal – Doctoral Program
The Doctoral program aims to train researchers in Pure or Applied Mathematics and is addressed to students who have a Master’s Degree in Mathematics or related fields, as well as to undergraduates in these areas who have an exceptional talent for Mathematics.
The doctoral program has a minimum duration of 24 months. The maximum duration is 48 months, extendable for up to two years. Upon completion of the program, the students receive the degree of:
“Doctor in Mathematics”
The degree is granted in one of the following areas of concentration:
Algebra
Analysis
Applied Mathematics
Geometry and Topology
Regular courses, divided into four groups, as listed below.
a) Mandatory “Teaching Practicum” (4 credits), mandatory for all students. The Teaching Practicum consists of didactic activities supervised by a professor (called a tutor), in which the student teaches classes in undergraduate courses.
b) “Mathematics Colloquium” (2 credits). The course consists of lectures given by local or invited researchers and is offered whenever possible.
c) Master’s thesis (6 credits).
The Doctoral curriculum is structured as follows:
- Regular courses, divided into two groups, as listed below.
- No mandatory courses.
- Mandatory “Teaching Practicum” (4 credits), consisting in didactic activities supervised by a professor (called a tutor), in which the student teaches classes in undergraduate courses.
- “Mathematics Colloquium” (2 credits), consisting in lectures given by local or invited researchers and offered whenever possible.
- Doctoral thesis (12 credits).
- Meeting the requirements specified in the program’s bylaws regarding the minimum workload.
- Two written qualifying examinations, according to Article 36 of the program’s bylaws, in addition to an oral qualifying examination
About qualifying examinations:
- The written qualification exams are offered at the beginning of each semester, if there are registered candidates.
- If a student is attending the second year of the doctoral program, they may request a qualifying examination at the end of the second semester of the current year
- The student must do the first written exam until the beginning of the fourth semester and pass the two written exams until the beginning of the fifth semester.
- In case of failure in a written exam, the student may repeat it once, mandatorily at the next opportunity, and in the same area of study of the original exam.
Regular courses in the Doctoral program, each of 06 credits:
Jointly with Master’s program:
MTM410019 Linear Algebra
MTM410024 Computational Linear Algebra
MTM410028 Numerical Analysis I
MTM410027 Measure and Integration
MTM410026 Topology
MTM410057 Dynamical Systems
MTM410071 Finite Groups and their Representations
MTM410073 Mathematical Methods for Statistics
Doctoral courses:
MTM510011 Operator Algebras
MTM510009 Differentiable Manifolds
MTM510008 Algebraic Topology
MTM510014 Introduction to Hopf Algebras
MTM510015 Theory of Non-Commutative Rings
MTM510005 Corings and Comodules
MTM510012 Distribution Theory and Sobolev spaces
MTM510007 Probability and Markov Processes
MTM510016 Ergodic and Information Theory
MTM510006 Symbolic Dynamics
MTM510013 Numerical Analysis II
MTM510010 Convex Analysis
MTM510050 Fibers in Differentiable Manifolds
MTM510034 Commutative Algebra
MTM510020 Introduction to Regularization Theory
MTM510040 Introduction to Category Theory
MTM510049 Mathematical Modeling Biomathematics
MTM510001 C*-Algebras
MTM510051 Von Neumann Algebras
MTM510037 C*- Dynamical Systems and Crossed Products
MTM510032 Hilbert Modules and Fell bundles
MTM510017 K-Theory for C* -Algebras
MTM510052 Advanced Module theory
MTM510018 Nonlinear Partial Differential Equations
MTM510033 Partial Differential Equations
MTM510053 Introduction to the Mathematical Theory of Navier-Stokes Equation
MTM510013 Theory of Semigroups and Applications in PDE
MTM510026 Infinite-Dimensional Attractors
MTM510025 Computational Linear Algebra II
MTM510027 Spectral Methods
MTM510019 Computational Methods in Optimization
MTM510022 Introduction to Continuous Optimization
MTM410057 Applied Functional Analysis
MTM510054 Riemannian Geometry
MTM510055 Iterative Methods for Inverse Problems
MTM 510059 Non-Linear Analysis Methods
MTM510056 Elements of Spectral Theory
MTM510057 Introduction to Group Cohomology
MTM510056 Groupoids, Inverse Semigroups and their C*-algebras
MTM510044 Discontinuous Galerkin Finite Element Methods for Problems of Multiphase Flows in Porous Media
Specialized topics
LANGUAGE PROFICIENCY
The Program’s Bylaws establish that:
Art. 50. Throughout the first academic year, proof of foreign language proficiency (English, French, German or Spanish) will be required. The Master’s program requires proficiency in one foreign language, and the doctoral program requires proficiency in two foreign languages.
INFRASTRUCTURE
- Computer Resources
Master’s students have access to a computer laboratory. The graduate program also has a few laptops that can be borrowed for certain periods.
Since 2016, there is a room dedicated to postdoctoral researchers and another to the visiting faculty. All faculty rooms, and the computer lab, are connected to the internet.
- Library
All students enrolled, as well as the university staff, have access to the central and branch libraries. In spite of a relatively small bibliographical collection in the area of Mathematics, this collection is incremented annually with the suggestions of our faculty. Access to journals is also available through the Capes online publication website.