The course equips students with comprehensive knowledge in elements of algorithms and data structures, including linear data structures, trees, and graphs. They will understand algorithm theory and algorithms for spatial problems such as Dijkstra and k-means. The course covers the representation of spatial data using standards like JSON, XML, and simple features, as well as software architectures for spatial data management. Students will learn about web services for spatial data and services, including elements of web application programming. The syllabus includes standards for the representation of spatial data, representation of spatial data in databases, architectures of networked software applications, and open-source tools for spatial data and services. Additionally, the course introduces AI techniques for spatial data.
- Teacher: Βασίλειος Βεσκούκης
ECTS : 0
Language : el, en