Statistical computing [ LSTAT2020 ]
6.0 crédits ECTS
20.0 h + 20.0 h
1q
Teacher(s) 
Bugli Céline ;

Language 
French

Place of the course 
LouvainlaNeuve

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 SPlus 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, SPlus, 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 SPlus 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 Statistics: General
> Master [120] in Statistics: Biostatistics
> Master [120] in Business engineering
> Master [120] in Agricultural Bioengineering
> Master [120] in Environmental Bioengineering
> Master [120] in Forests and Natural Areas Engineering
> Master [120] in Chemistry and Bioindustries
> Master [120] in Mathematics
> Master [120] in Computer Science
> Master [120] in Computer Science and Engineering
> Master [120] in Mathematical Engineering
> Certificat universitaire en statistique

Faculty or entity in charge 
> LSBA

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