Master in Applied and Industrial Mathematics
Study program
The course structure includes four successive separate training periods. The first three ones are characterized by face-to-face and e-learning mode lessons, followed by a final exam.
The Master’s Course is structured on three paths:
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Fluid-dynamic-Industrial
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Financial Mathematics
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Data Science
In the first training period the students will have to attend four basic courses, in the second and third period, based on the chosen path, they will attend the relative characterizing courses. The fourth period is devoted to a stage in an organization or company and to the preparation of a thesis.
First Training Period
Common to all paths
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Module
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Teacher
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Differential equations: theory, asymptotic approximations and numerical processing
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Prof. Renato Spigler (UNINETTUNO/Roma Tre)
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Basics of logic and of programming
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Prof. Vito Michele Abrusci (Roma Tre)
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Basic mathematical analysis and applications, Fourier’s transforms and signals theory
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Prof. Biagio Palumbo (Roma Tre)
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Advanced classic mathematical methods
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Prof. Clemente Cesarano (UNINETTUNO)
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Second Training Period
Fluid-dynamic-Industrial Path
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Module
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Teacher
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Fluid-dynamics 1 (laminar fluxes)
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Prof. Enrico de Bernardis (INSEAN-CNR)
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Fluid-dynamics 2 (turbulent fluxes)
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Da Assegnare
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Introduction to Scientific Calculation
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Prof. Salvatore Filippone (Cranfield University – UK)
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Second Training Period
Financial Mathematics Path and Data Science Path
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Module
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Teacher
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Probability and statistics for financial mathematics
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Prof. Marco Papi (Campus Bio-Medico)
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Models of mathematical finance
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Prof. Loretta Mastroeni (Roma Tre)
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Bioinformatics
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Prof. Paola Paci (IASI – CNR)
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Third Training Period
Fluid-Dynamic-Industrial Path
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Module
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Teacher
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Plasma physics, thermonuclear fusion, wave and energy propagation
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Prof. Alessandro Cardinali (C.R. ENEA Frascati)
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Dynamic systems
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Prof. Pasquale Palumbo (IASI – CNR)
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Anomalous diffusion and fractional differential models
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Prof. Lusi Vazquez (Universidad Complutense de Madrid)
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Third Training Period
Financial Mathematics Path
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Module
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Teacher
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Streamlining methods
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Prof. Giovanni Felici, Paolo Ventura, Claudio Gentile, (IASI – CNR)
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Dynamic systems
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Prof. Pasquale Palumbo (IASI – CNR)
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Data Mining and operational research applied to industry
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Prof. Marco Senatore, Carlo Consoli, Emanuela Valle (IBM Italia)
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Third Training Period
Data Science Path
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Module
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Teacher
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Theory and applications of neural simulation algorithms
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Prof. Francesco Carlino (UNINETTUNO - Neulos)
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Theory, models and analysis of signals in neurosciences
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Prof. Paolo Del Giudice (ISS)
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Data Mining and operational research applied to industry
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Prof. Marco Senatore, Carlo Consoli, Emanuela Valle (IBM Italia)
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