Teaching GuideTerm
Faculty of Computer Science
  Home | galego | castellano | english | A A |  
Grao en Ciencia e Enxeñaría de Datos
 Subjects
  Regression Models
Abrir nova vista Vista para imprimir Exportar a pdf
Identifying Data 2021/22
Subject (*) Regression Models Code 614G02012
Study programme
Grao en Ciencia e Enxeñaría de Datos
Descriptors Cycle Period Year Type Credits
Graduate 1st four-month period
Second Obligatory 6
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Matemáticas
Coordinador
Vilar Fernandez, Jose Antonio
E-mail
jose.vilarf@udc.es
Lecturers
Vilar Fernandez, Jose Antonio
Vilar Fernandez, Juan Manuel
E-mail
jose.vilarf@udc.es
juan.vilar@udc.es
Web
General description Estudo de modelos de regresión paramétricos e non paramétricos. No contexto paramétrico, abordanse procedementos de inferencia, diagnose e predición para o modelo lineal simple, o modelo lineal múltiple e o modelo loxístico. A modelización non paramétrica comprenderá a regresión tipo kernel e por splines, ademáis dunha introdución aos modelos de regresión parcialmente lineais e os modelos aditivos.
Contingency plan 1. Modifications to the contents 2. Methodologies *Teaching methodologies that are maintained *Teaching methodologies that are modified 3. Mechanisms for personalized attention to students 4. Modifications in the evaluation *Evaluation observations: 5. Modifications to the bibliography or webgraphy
(*)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