Teaching

Machine Learning

Data Analysis

Time Series Analysis

Probability

Statistics

Python

Data Analysis Concepts with Python

Workshop (01.–03.08.2019) at summer school Informatica Feminale, Fachhochschule Furtwangen University, Campus Furtwangen, Germany

The basic work flow of data analysis encloses the potential preprocessing, suitable storage, advanced analysis, and beneficial visualization of complex data. The goal of this workshop is to enable the participants to design and implement computational approaches to data analysis tasks in a sustainable pythonic manner.

In order to provide a common working ground, the workshop starts with a brief but profound introduction to the interpreter language Python, an on-spot installation and the organisation of multiple working environments for different python projects. In order to provide a convenient workflow throughout the workshop, the basics of object oriented programming are refreshed and demonstrated.

The main focus of the workshop lies on the concepts of data science and analysis via hands-on examples covering:

• efficient strategies for computation with and storage of large data sets
• introduction to data analysis methods and powerful open source libraries for data analysis
• visualization techniques of complex data sets
• fundamentals of uncertainty quantification and analysis

More details can be found in the online conference program ...

Earth Surface Dynamics - Understanding Processes at the Earth's Vulnerable Skin

Summer school (25 May–10 June 2018 & 12 August–2 September 2018) at University of Potsdam, Germany

The summer school is founded by the Volkswagen Foundation and consists of two consecutive summer school sessions for 25 doctoral students from geosciences, environmental sciences and related fields such as biology, chemistry and physics.

The summer schools will be designed for doctoral students, aiming

• to improve their skills to understand the complex interaction of the processes shaping the Earth's surface at different temporal and spatial scales,
• to monitor, model and predict the results of these interactions, and
• to identify and mitigate risks of natural and human-caused interference in these processes in an interdisciplinary and intercultural environment.

The 1st set of modules will focus on types of signals and noise commonly encountered at the Earth's surface, and methods of acquiring, processing and analyzing data with non-destructive physical surveying methods. The 2nd set of modules will be about the examination and modeling of the process underlying the data collected at the Earth's surface.

More details can be found on the summer school homepage and at Martin Trauth's homepage.