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Statistical computing [ LSTAT2020 ]


6.0 crédits ECTS  20.0 h + 20.0 h   1q 

Teacher(s) Ritter Christian (compensates Govaerts Bernadette) ; Govaerts Bernadette ;
Language French
Place
of the course
Louvain-la-Neuve
Main themes Main themes: Part (A): - Steps of a statistical data analysis with a statistical software - Classes of statistical software - Statistical graphics: main classes of graphics and efficient use - Basic statistical analysis with "point and click" statistical software. Part (B): - Random numbers generation, calculation of probabilities and quantiles for most common statistical distributions. - Algorithms to estimate linear and non linear models and associated numerical problems. - Maximum likelihood estimation. - Introduction to resampling methods - Programming in the S language under the S-Plus or R environment. - Programming in SAS (Use of SAS/BASE, SAS/STAT and SAS/Graph).
Aims At the end of this course, the students will have gain a critical view of the different classes of statistical software available on the market and basic culture on statistical algorithms and graphics. They will also be able to realise basic statistical analysis with different software (SAS, S-Plus, R, Excel, SPSS...) and write programs in the S and SAS programming languages. This course is organised in two parts: Part (A): basics of statistical computing and case studies. Part (B): statistical algorithms and SAS and R Software
Content Part (A): - Steps of a statistical data analysis with a statistical software - Classes of statistical software - Statistical graphics: main classes of graphics and efficient use - Basic statistical analysis with "point and click" statistical software. Part (B): - Random numbers generation, calculation of probabilities and quantiles for most common statistical distributions. - Algorithms to estimate linear and non linear models and associated numerical problems. - Maximum likelihood estimation. - Introduction to resampling methods - Programming in the S language under the S-Plus or R environment. - Programming in SAS (Use of SAS/BASE, SAS/STAT and SAS/Graph).
Other information Prerequisites Basic course in statistics and capability to work on a personnel computer. Teaching materials See web site : www.stat.ucl.ac.be/cours/stat2430 For more information: http://www.stat.ucl.ac.be/cours/stat2430/index.html
Cycle et année
d'étude
> Master [120] in Computer Science
> Master [120] in Computer Science and Engineering
> Master [120] in Statistics: General
> Master [120] in Mathematical Engineering
> Master [120] in Statistics: Biostatistics
> Certificat universitaire en statistique
> Bachelor in Mathematics
> Master [120] in Mathematics
Faculty or entity
in charge
> LSBA


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