ECTS: 5
Scientific area: Information and Communication Technologies
Total working hours: 130
Total contact time: 20
The aim of this course is to develop in the students skills to deal with problems involving optimization methods, simulation techniques and data visualization techniques.
Upon completion of this unit, the student should be able to:
• Recognize the role and importance of the tools available in R for processing and analyzing statistical data;
• Identifying and learning to apply the main methods of optimization used in statistics;
• Develop and apply simulation techniques;
• Identified and exploring visualization techniques;
• Solve problems using the R program, involving the themes dealing with statistics.
1.Programming in R
2.Optimization in Statistics
3.Simulation
4.Data Visualization
Christian P. Robert and George Casella (2010): Introducing Monte Carlo Methods with R, Springer-Verlag . ISBN 978-1-4419-1575-7
Maria L. Rizzo (2008): Statistical Computing with R, Chapman and Hall/CRC. ISBN: 9781584885450, ISBN 10: 1584885459.
J. E. Gentle (2005): Random Number Generation and Monte Carlo Methods 2nd Edition, Springer. ISBN 0-387-0017-6 e-ISBN 0-387-21610
Everitt, E.S. (1987): Introduction to Optimization Methods and their Application in Statistics, Chapman and Hall, ISBN:-13. 978-94-010-7917-4, e-ISBN-13: 978-94-009-3153-4, DOI: 10.1007/978-94-009-3153-4
E-learning (fully online).
Evaluation is made on individual basis and it involves the coexistence of two modes: continuous assessment (60%) and
final evaluation (40%). Further information is detailed in the Learning Agreement of the course unit.
Pre-requisites: not applicable
Language(s) of Instruction: Portuguese.
Contact for virtual mobility students: Communication and International Relations Office – gcri@uab.pt
