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Identifying Data 2022/23
Subject (*) Numerical Methods for Data Science Code 614G02033
Study programme
Grao en Ciencia e Enxeñaría de Datos
Descriptors Cycle Period Year Type Credits
Graduate 1st four-month period
Fourth Optional 6
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Matemáticas
Coordinador
Gonzalez Taboada, Maria
E-mail
maria.gonzalez.taboada@udc.es
Lecturers
García Rodríguez, José Antonio
Gonzalez Taboada, Maria
E-mail
jose.garcia.rodriguez@udc.es
maria.gonzalez.taboada@udc.es
Web
General description In this subject students will learn numerical methods for solving nonlinear equations, large systems of linear and nonlinear equations, and to approximate eigenvalues of large matrices. They will also learn optimization methods for large dimension and interpolation techniques in one and several variables.
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.