Computation in Statistics and Information Management


At the end of Module 1 students should be able:

- To read, to create and to manipulate main R object classes

- To install R libraries

- To use main reources availabe at R libraries

- to use main functions for data manipulation

- To use R graphical resources

- Write simple functions

General characterization





Responsible teacher

Jorge Morais Mendes


Weekly - Available soon

Total - Available soon

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English


Não aplicável


SAS® 9.2 Language Reference: Concepts. Second Edition. Cary, NC: SAS Institute Inc. 2010; SAS® 9.2 Language Reference: Dictionary. Third Edition. Cary, NC: SAS Institute Inc. 2010; Base SAS® 9.2 Procedures Guide: Statistical Procedures. Third Edition. Cary, NC: SAS Institute Inc. 2010.; Mark Gardener (2012) Beginning R: The Statistical Programming Language. Wrox; Joseph Adler (2012) R in a Nutshell-O'Reilly

Teaching method

The curricular unit is based on lectures where key concepts and languagem sintax is introduces, along with examples and problem solving. Lab classes are devoted to solve proposed exercises.

Evaluation method

1st round : two tests (50% each) on the contents of each module (R and SAS). Minimum grade is 8.
 - 1st test (R): around 7th week of classes
 - 2nd test (SAS): on the 1st round exam date
2nd round: final exam (100%).  Minimum grade in each module contents: 4

Subject matter

UA1. Getting started with R
UA2. Data processing and management
UA3. Control structures
UA4. Writing functions
UA5. Data visualisation

UA6. Statistical distributions


Programs where the course is taught: