Duration
15h Th, 35h Pr
Number of credits
| Master in geology (120 ECTS) | 5 crédits | |||
| Master in geology (60 ECTS) | 5 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit 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. Introduction to spatial data
4.1. Spatial sampling strategies
4.2. Levelling of data sets from multiple campaigns
4.3. Introduction to mapping and spatial interpolation.
Learning outcomes of the learning unit
1) Master the basic notions of uni- and bivariate statistics. Understand the importance of a quantitative approach in geosciences. 2) Be able to make use of graphical display, exploratory data anlysis and statistical analysis tools used in geology. 3) Be able to analyse the distribution laws generated by different geological processes and to compare them to the theoretical laws available for modelling. 4) Be acquainted with the use of software tools for data processing
Prerequisite knowledge and skills
Néant
Planned learning activities and teaching methods
TP 1 : Introduction to Statistica
TP 2 : Visualisation and data conversion
TP 3 : Analysis and characterisation of experimental distributions
TP 4 : Univariate statistical analysis
TP 5 : Analysis of experimental correlations
TP 6 : Modelling of correlations
Mode of delivery (face-to-face ; distance-learning)
Theory : 2nd Semester - Monday 10:30-12:30 Practice - Computer labs : 2nd Semester - Tuesday 08:30-12:30
Recommended or required readings
Copy of PPT used for teaching
Written notes : "Analyse Spatiale des Données Géo-Environnementales" (part)
Recommended lecture:
Swan & Sandilands, Introduction to Geological Data Analysis (contact U.D. Earth Sciences)
Assessment methods and criteria
Evaluation is based on both a written report and an oral examination. The written report will be based on exercises as seen during the semester. Its evaluation will take into account: exactness of results; understanding of concepts; quality of presentation. Written reports have to be handled over for the required deadline. Every delay will be penalized (1 point per day). Oral examination will last for about one hour, with 30' dedicated to written preparation followed by 30' of oral discussion. The oral examination will bear on all aspects of the theory. It will privilege a practical perception of the concepts rather than a pure restitution of the theory. The final mark is a composite of the oral examination (75%) and the written report (25%). Any non satisfactory written report will lead to a failure.
Work placement(s)
Organizational remarks
Language: French
Contacts
Mlle Nadia ELGARA
Secrétariat du département GEOMAC, Bât B52
Tél. : 04/366.37.99, e-mail : nelgara@ulg.ac.be