Core courses

The core courses provide a strong foundation to all students by teaching the fundamentals of data gathering, processing, analysing and visualisation. The core courses are focussed around six fundamental themes: Location Awareness, Sensing Technologies and Mathematics for Geomatics, Geo datasets & Database Management Systems, Geoweb & Legal Aspects, GIS & Cartography and 3D Modelling, Digital Terrain Modelling (DTM), Photogrammetry & 3D Computer Vision. The core courses are building up from fundamentals and basic skills to application and integration.

Python Programming for Geomatics

This course gives an introduction to programming with the Python programming language and focuses on applications for Geomatics.

For more information, please visit the study guide.

Sensing Technologies

The course will cover fundamental of mathematics and sensing technologies. On the sensing technologies part the course will overview geometric and radiometric sensor models as well as remote sensing. The mathematics side encompasses linear algebra, statistics and some calculus, which are very much needed for some of the other courses in the Geomatics MSc programme. These mathematics background will be linked directly with geo-related applications.

For more information, please visit the study guide.

GIS and Cartography

This is a GIS introductory course, open to students with heterogeneous backgrounds (architecture, urban planning, civil engineering, etc.). The course provides an overview of Geographical Information Systems (GIS) and digital Cartography, and of how GIS can be used in practice to solve real-world problems. The course also provides students with theoretical background knowledge of concepts, data types and GIS-related typical processes and algorithms of GIS packages.

The course has both a theoretical and a practical part in which students do exercises to get hands-on experience with GIS packages.

For more information, please visit the study guide.

Positioning and Location Awareness

This course addresses Global Navigation Satellite Systems (GNSS) and indoor positioning technologies for sensing people, devices, and assets in the built environment with the focus on location-aware applications. The course covers the requirements and context for these location-aware applications: global, local, and linear reference systems, coordinate systems and map projections, positioning methods and techniques, and the social and technical push and legislative pull factors that empower the development of location-based services.

For more information, please visit the study guide.

3D Modelling of the Built Environment

The course provides a detailed description of the main ways in which the built environment is modelled in three dimensions, covering material from low-level data structures for generic 3D data (b-rep, tetrahedra, voxels, CSG, NURBS, g-maps) to high-level semantic data models for cities (CityJSON, IFC). The course has a theoretical part (lessons) and a practical part (assignments using Python).

For more information, please visit the study guide.

Geo Database Management Systems

This course is about managing geo-information in a database management system (DBMS). The geo-DBMS is the central component of the geo-information chain. The course consists of three parts:

  • Introduction object-oriented information modelling
  • Introduction relational database management systems
  • Spatial databases, including more advanced topics: 3D, Raster, Point cloud, Simplicial complex, Geo-OCL, Big data, NoSQL (spatial), Vario-scale and 5D modelling.

For more information, please visit the study guide.

Geo Web, Sensor Networks and 3D-GeoVisualisation Technology

Using a smart phone or tablet connected to broadband internet one can virtually fly-through a city and view buildings, underground constructions and proposed designs from any viewing angle, even using augmented reality. This course gives an overview of how geographic data can be disseminated and accessed through the internet and what technology is necessary to make this possible.

For more information, please visit the study guide.

Geo-information Governance

In this course students will learn about the organisational and legal aspects relevant for managing spatial data infrastructures (SDI). The organizational theory encompasses strategies and governance instruments to stimulate SDI implementation and development. Legal aspects applying to geo-information will be taught, such as data protection (EU General Data Protection Regulation), legislation promoting access, sharing and reuse of public sector information (INSPIRE legislation, open data), and/ or intellectual property rights. Students are tasked to write a paper on a selected SDI topic.

For more information, please visit the study guide.

Digital Terrain Modelling (DTM)

Overview of the fundamentals of algorithms and tools to represent, analyse, and extract information from digital terrain models (DTM), which are models that represent the surface of the Earth. The course covers traditional acquisition techniques as well as “new” ones (such as lidar). The course has both a theoretical part and a practical part (programming in Python) where students reconstruct, manipulate, and process DTMs.

For more information, please visit the study guide.

Photogrammetry and 3D Computer Vision

Photogrammetry and 3D computer vision aims at recovering the structure of real-world objects/scenes from visual data (i.e., images, point clouds). This course is about the theories, methodologies, and techniques of 3D computer vision for the built environment. In the term of this course, the students will learn the basic knowledge and algorithms in 3D computer vision through a series of lectures, reading materials, and lab exercises.

For more information, please visit the study guide.  

Synthesis Project

The first year core courses culminate in a large project in which you will tackle a real-world problem defined in co-operation with a company or a governmental agency (synthesis project). The project enables you to gain further knowledge and skills in acquisition, processing, analysis and interpretation, and visualization of geo-information as well as insights in the running of a project in which diverse stakeholders are involved. 

For more information, please visit the study guide.