Teaching

Principles of Geoinformatics and GIS

Geoinformation Theory

Level: Undergraduate obligatory spring semester course (4 hours per week, theory and exercises)

Description:

The objective is to create the essential theoretical and technical background for an effective future tackling of more advanced courses of the curriculum. The course is taught after the basic undergraduate courses of information technology and informatics expanding the knowledge that was then acquired by the students.

This general course introduces basic elements of geoinformation theory. The course is constituted of two Parts (A, B) which are exposed in parallel throughout the course’s duration.

Part A covers basic concepts of Geoinformatics:

    • Theoretical Base of Geoinformation – Historical development.
    • Concepts of Space and Time and Representation of Spatial Knowledge.
    • Real Space Models.
    • Embodiment of Spatial Concepts and Models in a Geographic Information System.
    • Sources of Data and Data Collection Techniques.
    • Applications.

Part B covers a line of technical subjects as:

    • Object oriented models.
    • Field models.
    • Elements of spatial databases.
    • Methods of correlation /connection /unification of data.
    • Elements of spatial analysis
  • Elements of digital representation.

 

Finally, the course tackles the above-mentioned subjects with a sequence of related exercises executed in the lab.

 

Coordinator – Person in charge: Professor M. Kavouras

Teaching Assistants: G. Panopoulos, M. Kokla, E. Tomai

Level: Obligatory Postgraduate Course (a 2hour lecture per week)

Description:

    • Theoretical Base of Geoinformation – Historical development.

    • Concepts of Space and Time and Representation of Spatial Knowledge.

    • Embodiment of Spatial Concepts and Models in a Geographic Information System.

    • Object oriented, entity and vector based models.

    • Field models.
    • Data structures and conceptual design of spatial databases.

    • Geo-Classification schemata.

    • Description – Representation of relief.

    • Elements of spatial analysis, Data Integration – Formalization – Exchange.

    • Specifications of Applications: Quality Control.

Coordinator – Person in charge: Professor M. Kavouras

Lecturers: M. Kavouras, D. Argialas (NTUA Professor), M. Kokla

Research Topics in GIS

Geographic Knowledge Representation Methods

Level: Optional postgraduate course of the winter semester (a 2hour lecture per week)

Prerequisite course: Geoinformation Theory

Description/ Objective:

The course intends to present the most up-to-date research trends in the GIScience field. Each student selects a topic, from a list proposed by the course teaching team, for which he makes two presentations (one to present their progress and one final at the end of the semester). In this way, the course introduces the postgraduate students to the research process, and leads them, to the development and presentation of their research topic. In the beginning of the semester the lecturers and other invited researchers present different up-to-date research topics. Thus, each student acquires general knowledge for different trends in the field of GIScience through the presentations of his fellow students but also through those of the teaching team and invited researchers, while through his own selected topic he acquires experience in research methodology, ability of analysis and composition, compilation of scientific work and presentation to a wider public.

The course is addressed to all postgraduate students that wish they have knowledge of the latest research topics in the field of GIScience.

Coordinator – Person in charge: Professor M. Kavouras

Teaching Assistants: M. Kokla, G. Panopoulos

Level: Optional postgraduate course of the spring semester (a 2hour lecture per week)

Prerequisite course: Geoinformation Theory

Course objectives: The main objective of the course is to present the existing methods for the representation of geographic knowledge in a computer. At first, the difference between the terms data, information and knowledge is addressed. The existent principal methods of knowledge representation are introduced, such as semantic nets and lattices. Also the importance of formalizing knowledge about the geographic space is presented, for solving interoperability problems among spatial data systems.

Course Content:

  • Introduction to knowledge representation – Historic Development.
  • Data-Information-Knowledge.
  • Geographic Knowledge – definition – characteristics.
  • First Order Logic.
  • Semantic Nets.
  • Frames.
  • Lattices.
  • Rule-based Systems.
  • Conceptual Graphs.
  • Formal Ontologies.
  • Ontology engineering.
  • NLP: Natural language processing.

Coordinator – Person in charge: Professor M. Kavouras

Teaching Assistants: M. Kokla, E. Tomai, A. Karalopoulos