Teaching GuideTerm
Faculty of Computer Science
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Grao en Ciencia e Enxeñaría de Datos
 Subjects
  Mathematical Optimisation
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Identifying Data 2022/23
Subject (*) Mathematical Optimisation Code 614G02020
Study programme
Grao en Ciencia e Enxeñaría de Datos
Descriptors Cycle Period Year Type Credits
Graduate 2nd four-month period
Second Obligatory 6
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Matemáticas
Coordinador
Lorenzo Freire, Silvia
E-mail
silvia.lorenzo@udc.es
Lecturers
López Igrexas, Macías
Lorenzo Freire, Silvia
E-mail
macias.lopez@udc.es
silvia.lorenzo@udc.es
Web
General description In this subject we intend to provide students with a practical knowledge of the basic methods of optimization that help to solve problems related to Data Science and Engineering. To this end, special emphasis will be placed on modeling optimization problems and on linear and integer programming and network optimization problem-solving techniques. Fundamentally, R, Julia and Python programming languages will be used.
(*)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.
Universidade da Coruña - Rúa Maestranza 9, 15001 A Coruña - Tel. +34 981 16 70 00  Soporte Guías Docentes