Land information systems and models   

Land information systems are systems for acquiring, processing, storing, and distributing information about land. They may contribute to secure land tenure or support land valuation, land use planning and land development. Despite contextual differences between countries, there are fundamental concepts that apply to all land information systems. The main objective of this course is to discover, apply, and assess these concepts and technologies – and inspire students to deploy them in the creation and maintenance of scalable real-world land information systems. The course focuses on the modeling of data and processes for the implementation of Information Systems for Land Administration. It therefore has two integrated series of lectures: one focusing on data modeling and implementation in a spatially enabled database management systems; the other focusing on the identification and modeling/design of software functionalities that support land administration processes. These two parts are linked together by a practical LIS prototyping workshop.
English
2023-02-02T23:00:00Z
f2f
hybrid
This course is taught through lectures and hands-on activities presented as exercises. An individual assignment and a group assignment evaluate learning of practical skills and an exam assesses the students’ understanding of concepts introduced in the course. Exercises and assignments are performed using software introduced during lectures or supervised practical sessions and, where possible, real-world data-sets are used. The group assignment is completed as part of the LIS Workshop during which student groups develop a software prototype that implements one or more land administration processes using the Scrum method. The Scrum approach, used in most modern software development projects, is introduced at the beginning of the course. Students have the opportunity to practice using the Scrum method in exercises.
English
GIMLA_001 (Responsible Land Information); MGEO-Core (core_001, core_002, core_003) ,Experience in Land Administration or motivated to work in this domain. It is an advantage to have: followed the course Responsible Land Administration, or a basic understanding of Geographic information models, or experience/background/knowledge in an ICT or IS field
English
201800286
Land information systems and models
English

UNIVERSITY OF TWENTE

Faculty of Geo-Information Science and Earth Observation