Gregory De Souza: Catalogue data in Autumn Semester 2020 |
Name | Dr. Gregory De Souza |
Address | Inst. für Geochemie und Petrologie ETH Zürich, NW C 83.1 Clausiusstrasse 25 8092 Zürich SWITZERLAND |
Telephone | +41 44 632 69 83 |
Fax | +41 44 632 11 79 |
gregory.desouza@eaps.ethz.ch | |
Department | Earth and Planetary Sciences |
Relationship | Lecturer |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
651-4049-00L | Conceptual and Quantitative Methods in Geochemistry Prerequisite: Successful completion of the BSc-course "Geochemistry" (651-3400-00L). | 3 credits | 2G | O. Bachmann, G. De Souza, B. J. Peters | |
Abstract | This course will introduce some of the main quantitative methods available for the quantitative treatment of geochemical data, as well as the main modelling tools. Emphasis will both be on conceptual understanding of these methods as well as on their practical application, using key software packages to analyse real geochemical datasets. | ||||
Learning objective | Development of a basic knowledge and understanding of the main tools available for the quantitative analysis of geochemical data. | ||||
Content | The following approaches will be discussed in detail: major and trace element modelling of magmas, with application to igneous systems; methods and statistics for calculation of isochrons and model ages; reservoir dynamics and one-dimensional modelling of ocean chemistry; modelling speciation in aqueous (hydrothermal, fresh water sea water) fluids. We will discuss how these methods are applied in a range of Earth Science fields, from cosmochemistry, through mantle and crustal geochemistry, volcanology and igneous petrology, to chemical oceanography. A special emphasis will be put on dealing with geochemical problems through modeling. Where relevant, software packages will be introduced and applied to real geochemical data. | ||||
Lecture notes | Slides of lectures will be available. | ||||
Prerequisites / Notice | Pre-requisite: Geochemie I and II | ||||
651-4271-00L | Data Analysis and Visualisation with Matlab in Earth Sciences | 3 credits | 3G | G. De Souza, A. Obermann, S. Wiemer | |
Abstract | This lecture and the corresponding exercises provide the students with an introduction to the concepts and tools of scientific data analysis. Based on current questions in the Earth Sciences, the students solve problems of increasing complexity both in small groups and singly using the software package MATLAB. Students also learn how to effectively visualise different kinds of datasets. | ||||
Learning objective | The following concepts are introduced in the course: - Working with matrices and arrays - Programming and development of algorithms - Effective data analysis and visualisation in 2D and 3D - Learning to effectively use animations - Statistical description of a dataset - Regression analysis - Testing hypotheses |