Courses

The program in Data Science and Scientific Computing is organized in two curricula: 

Each curriculum is further organized in several study plans, each corresponding to a specific application area, proposing a choice of specialization courses. 

Check out the Study Plan page for more information.

 

Select one or more paths

Computational Fluid Mechanics

Objective: introducing to the use of computational techniques to solve problems in fluid mechanics.

Computational Methods for Turbulent Fluids

Objective: introducing to the dynamics of highly non-linear processes (turbulence) in fluid dynamics, and to the computational techniques used  to solve such models.

Computational Physics Laboratory

Objective: providing fundamental tools and numerical algorithms for solving problems of classical physics and simple problems of quantum physics.

Computational Quantum Chemistry

Objective: providing knowledge of the most important theoretical formalism used in quantum chemistry, and of the main computational methods, numerical algorithms, and software tools in the field of quantum chemistry.

Computer Vision and Pattern Recognition

Objective: introducing machine learning techniques for artificial vision and pattern recognition in sequential data.

Cyber-Physical Systems

Objective: introducing cyber-physical systems, with particular regard to modeling them with hybrid formalisms and the formal verification of their properties.

Data Management for Big Data

Objective: introducing students to computational management of data, in particular the characterization of an information system, data modeling, design and management of databases, including non-traditional ones (eg, unstructured documents, spatial data, biological data , multimedia data), to the fundamentals of distributed data and to methodologies and techniques for the management and analysis of big data.

Environmental Hydraulics

Objective: providing the basic knowledge of fluid dynamics at the environmental scale and of tools for numerical modeling.

Fluid Dynamics

Objective: introducing the physical and mathematical principles of fluid dynamics.

Formation of Cosmological Large-Scale Structures

Objective: providing a thorough and updated knowledge of cosmology issues related to the study of the formation of galaxies, clusters of galaxies and the structure of large-scale Universe in current cosmological models, through analytical, numerical, and statistical techniques for the evolution of disturbances in linear and nonlinear regime.

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