This module introduces the 3D functions of ArcGIS. The focus is on creating 3D scenes, performing 3D GIS analyses and publishing content in ArcGIS Online. The configuration of a web scene is also covered and finally a 3D web application is created and made accessible to others.

The course deals with advanced topics in GIS, such as Business aspects and Legal issues; Human-Computer Interaction; Cognitive Issues in GIS; Geosensors; Big Spatial Data; Spatial Statistics; and Machine Learning for GIS.

This module teaches the basics, tools and practical applications in the field of data management in geodata infrastructures (GDI). The focus is on model-based structure conversion. INTERLIS is explained as a system-independent method and expanded by looking at other languages, formats and standards.

Current research in machine learning and data science within the research fields of the department. The goal is to learn about current research projects at our department, to strengthen our expertise and collaboration with respect to data-driven models and methods, to provide a platform where research challenges can be discussed, and also to practice scientific presentations.

Fundamentals of geographic information systems: spatial data modeling; metrics & topology; vector, raster and network data; thematic data; spatial statistics; system architectures; data quality; spatial queries and analysis; geovisualisation; spatial databases; labs with GIS software

Fundamentals in geoinformation technologies: database principles, including modeling of spatial information, geometric and semantic models, topology and metrics; practical training with GIS software.

Advanced geoinformation technologies: geodatabases advanced; system architectures; mobile GIS; user interfaces; fields and interpolation; data quality, uncertainty, metadata; temporal aspects in GIS.

Independent study project with novel geoinformation technologies. Information on past projects:http://gis-lab.ethz.ch/

GIS methods and processes represent the basic strategies and processing steps used within a GIS workflow to model, capture, manage, analyze, and visualize geodata. The GIS workflow is a systematic approach that ensures that geospatial data is used effectively to solve problems in various application domains.

In the GIS -Project, participants work in a team on a current problem according to the GIS workflow, which includes modelling, data acquisition, management, analysis and visualization of geodata. Project management is also used to control the project. At the end of the course, participants will be able to plan, implement and present complex GIS projects independently.

A Geographic Information System (GIS) is a system for collecting, managing, analyzing and visualizing spatial data (geodata). This module teaches the fundamental concepts and principles necessary for a comprehensive understanding and effective application of GIS technologies.

The module provides an introduction to geospatial data processing with AI tools. It covers data sources, data preparation, project phases of AI applications (foundation models, machine learning, neural networks) and challenges when working with geospatial data (e.g. 3D data, graphs). Practical exercises deepen the knowledge and enable the use of suitable tools.

The course deals with advanced methods in spatial data analysis.

This module shows how geodata can be processed and analyzed using Python and open source libraries. Content: Reading and writing vector and raster data, reprojection of data, querying and manipulating geodata in a spatial database, accessing and using geospatial web services and visualizing geodata both in a GIS and in the web browser.

The module offers an introduction to the leading open source database system PostgreSQL with the associated spatial extension PostGIS. Content: Geodata modeling, database administration, vector and raster analyses, projections and transformations, triggers and functions.

Advanced geoinformation technologies and analyses methods: Mobile GIS; Web-GIS & Geo-Web-Services; Spatial Big Data; Temporal aspects in GIS; Analysis of movement data; User interfaces

Geoinformationstechnologien und -analysen für Fortgeschrittene: Mobile GIS; Web-GIS & Geo-Web-Services; Spatial Big Data; Zeitliche Aspekte in GIS; Analyse von Bewegungsdaten; BenutzerschnittstellenÜbungen: Web-GIS-Semesterprojekt in Gruppenarbeit - die Übungen finden auf Englisch statt!

Introduction to general scientific working methods and skills in the core fields of geomatics. It includes a literature study, a review of one of the articles, a presentation and a report about the literature study.