Virtual Lectures¶
The majority of the courses take place in front of a screen in the form of video conferences, video streaming, wiki-like documentation, or interactive exercises. During virus-free times, computers are available to students directly on campus. at the University of Stuttgart. To improve independent work capacities, however, it is highly recommended that students use an own laptop or desktop computer.
Tip
Students of the University of Stuttgart may want to explore the TIK’s GitHub account and login page (use your institutional ID, for example, st9009133) to leverage collaborative work with code.
The codes created and provided in the lectures are mostly based on Python3 conda environments. The Get started chapter and the install and setup section provides more details and installation hints regarding required software (preferred open-access).
Exercises¶
Exercises are provided as integral part of this website and as external git repositories enable cloning materials such as:
Assignment instructions,
Code templates, and
Data files (where necessary).
The link to each exercise’s git repository is provided at the top of each exercise page.
Python programming for Water Resources Engineering and Research¶
About¶
This course introduces the version-control system git and the programming language Python 3. Students learn in to use programming methods for engineering tasks, data processing including basic statistical evaluations, and geospatial analyses. Practice-oriented exercises with small homeworks guide through the programmatic solution to typical challenges in water resources engineering and research, such as ecohydraulic and sediment transport assessments. The communication between efficient algorithms and other data types (e.g., JSON or xlsx workbooks) is also presented and part of the exercises. The second part of the course introduces geospatial programming methods and data analyses.
Interactive lectures familiarize students with version control via git, markdown language for documentation and Python programming. The course is organized by the IWS-LWw department at the University of Stuttgart in the Winter semester. The course builds on in-house and external open access materials, which serve as a reference guide and support for independent studies.
Requirements¶
The paramount requirement is the willingness to regularly invest time in the lectures, because this course is about more than just learning a programming language. Previous programming experience is not necessary and the course also and explicitly addresses students who have not yet made use of programming tools.
In terms of software, make sure to install (or having installed on any accessible computer) the following programs described in the Get started chapter:
Anaconda with its Anaconda Navigator and Anaconda Prompt interfaces.
PyCharm, Spyder or any equivalent Python IDE.
JupyterLab to edit jupyter notebooks.
Ensure that git is installed, and thus, can be understood by your system’s command line or terminal.
QGIS aids to visualize geospatial datasets used and created in the Pythongeospatial chapter (not mandatory).
Libre Office (or any other software) to edit workbooks (not mandatory).
Notepad++ to get a clean and quick overview of many script and text-based data file types (not mandatory).
Schedule (winter 2020/21)¶
Every Wednesday and Thursday morning live in WebEx, starting from November, 2021, through February, 2022.
Learning objectives¶
Students acquire basic and advanced skills in Python programming, git version control, data handling and geospatial analyses. The dedicated learner deepens the ability to think logically and translate work processes into structured, object-oriented algorithms. Through the application of open-access software and git, students will be able to effectively support any team in the world and boost any project. The practice-oriented exercises transfer additional knowledge on how to leverage challenges in water resources management.
Integrated River Engineering and Sediment Management¶
About¶
This course is divided into two parts: 1. River Engineering and Sediment Management, and 1. Integrated Flood Protection Measures.
The materials provided here support the exercises in the Integrated Flood Protection Measures part, which encompasses socio-economic aspects of flood damage, calculation of floodwater depths, technical flood protection measures and design and operation of retention basins, among other things.
Beyond the descriptions provided in documents along with the exercises, these descriptions are also made available here to facilitate online work that has gained a rapidly increasing importance due to recent events.
Requirements¶
Make sure to install (or having installed on any accessible computer) the following programs:
QGIS aids to visualize and modify (edit) geospatial datasets. Add the BASEmesh and Crayfish plugins.
Notepad++ to modify boundary conditions and text-alike data file types.
ParaView is a powerful visualization tool for model outputs (not mandatory).
Libre Office (or any other software) to edit workbooks (not mandatory).
Online materials¶
The provided online material guides through the numerical simulation exercise with the ETH Zurich’s BASEMENT v.3. The guidance describes:
Pre-process data: From point clouds to computational meshes
Set up and run a numerical simulation with BASEMENT v.3
Post-process simulation results: Visualize, understand and analyze the model output.
Calibration & validation is here mentioned as an integral part of numerical studies.