Per citar aquest document: http://ddd.uab.cat/record/163315
Data Visualisation and Modelling [43482]
Puig Casado, Pere
Universitat Autònoma de Barcelona. Facultat de Ciències

Data: 2016-17
Pla d'estudis: Modelització per a la Ciència i l'Enginyeria / Modelling for Science and Engineering [1293]
Titulació: Modelling for Science and Engineering [4313136]
Resum: Course of R All the practical exercises will be solved using the statistical package R. This introductory course is basic for all the posterior developements. Data Simulation, Boostrapping and Permutation testing These methodologies allow a fast solution to complex statistical models without a deep knowledge of the general and classical statistical topics. They are indispensable tools in the current statistical modelling techniques. The students will complete a basic training program, including the use of an appropriate software, and they will learn how to attack several real data analysis problems. Bayesian networks, in the opinion of many researchers one of the most significant contribution in AI in this century, are graphical structures for representing the probabilistic relationships among a large number of variables and for doing probabilistic inference with those variables, with a huge number of application fields. One of the objectives of this course is to introduce them and develop in students some skill in their use in modelling, both from a theoretical and applied point of view, with particular emphasis on the use of appropriate software.
Llengua: Anglès



Anglès
3 p, 72.2 KB

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Materials de curs > Programes de curs (Guies docents)

 Registre creat el 2016-07-28, darrera modificació el 2016-09-23



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