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| GEOL0048-2 | Statistical Analysis of Geological Data | ||||||||
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| Duration : | 15h Th, 35h Pr | ||||||||
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| Holder(s) : | Eric Pirard | ||||||||
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| Course contents : | Aperçu général Editer Historique 1. Computers and Geosciences 1.1.Computer Assisted Conception / Perception 1.2. Quantitative Geology 1.3. Encoding of geological data 2. Analysis of a unique geo-variable (univariate statistics) 2.1. General principles of sampling 2.2. Visualisation of univariate data 2.3. Characterisation of a sample data set 2.4.Statistics for directional data 2.5. Modelling and statistical inference 2.6. Tests for comparisons between populations 2.7. Analysis of variance 3. Analysis of simultaneous geo-variables (bivariate statistics) 3.1. Remark on homo and heterogeneous data spaces. 3.2. Bivariate data visualisation. 3.3. Characterisation of a sample data set 3.4. Interpolations and regressions 4. Multivariate Statistics 4.1. Generalisation of statistical notations (mean vector, covariance matrix,...) 4.2. Multigaussian distribution 4.3. Principles of discriminant analysis 4.4. Principal component analysis ! This course includes a personal project of 20h (id. to Geol 0248-1) | ||||||||
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| Course objective : | 1) To introduce the basic notions of uni- bi- and multivariate statistics. To stress the importance of a quantitative approach in geosciences 2) To be able to handle the concepts of graphical display and statistical analysis of geological data. 3) To analyse the distribution laws generated by different geological processes and to compare them to the theoretical laws available for modelling. 4) To familiarise oneself with the use of software tools and programming in a Matlab environment | ||||||||
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| Prerequisites : | Néant | ||||||||
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| Workshops : | TP 1 : Introduction to Matlab TP 2 : Visualisation and data conversion TP 3 : Analysis and characterisation of experimental distributions TP 4 : Analysis and characterisation of experimental correlations TP 5 : Discriminant analysis | ||||||||
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| Organization : | 2 hours theoretical courses. Practical computation labs (max. 3 students / PC) at the end of each theoretical module. | ||||||||
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| Written notes : | Reference book in english : Swan A. et Sandilands M., 1995, Introduction to geological data analysis, Blackwell ISBN 0-632-03224-3 | ||||||||
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| Assessment : | Oral examination after a written preparation of 30 minutes. The oral examination will privilege a practical perception of the concepts rather than a pure restitution of the theory. | ||||||||
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| Contacts : | Mlle Nadia ELGARA Secrétariat du département GEOMAC, Bât B52 Tél. : 04/366.37.99, e-mail : nelgara@ulg.ac.be | ||||||||
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| Remarks : | Language: French | ||||||||
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ULg : Students and Studies Administration - Academic Affairs
Contact : Monique Marcourt, direction A.E.E.
Date of data : 27/02/2006
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