Environmental informatics

Title of course: Environmental informatics

Code: TTGMG7003 TTGME7002_1

ECTS Credit points: 3

 

Type of teaching, contact hours

- lecture: 1 hours/week

- practice: 2 hours/week

- laboratory: -

Evaluation: practical grade

Workload (estimated), divided into contact hours:

- lecture: 14 hours

- practice: 28 hours

- laboratory: -

- home assignment: 20 hours

- preparation for the exam: 12 hours

Total: 60 hours

Year, semester: 1st year, 1 st semester

Its prerequisite(s): -

Further courses built on it: -

Topics of course

In the context of environmental informatics, students will learn about the conceptual background of environmental informatics, the possibilities of data mining of natural, social and economic environment databases, data mining techniques, the structure of environmental information systems and the necessary geoinformatics applications. The following topics will be covered in the lecture part of the course: basic concepts of environmental informatics, natural environment databases (geology, morphology), natural environment databases (hydrology, hydrology), natural environment databases (soil, vegetation), natural environment databases (climatic elements), natural hazards and environmental protection data, social environment databases (settlements, population), databases of the economic environment (mining, energy), databases of the economic environment (agriculture, industry), databases of the economic environment (trade, services), databases of the social environment (tourism, sports), the structure of environmental information systems, an introduction to the geoinformatics systems used, the application of environmental informatics in spatial planning and landscape assessment. The practical part of the course covers the following topics: ArcGIS basics - repetition, geodatabase and geodatabase topology, the use of remotely sensed data in spatial data analysis for environmental purposes, geological and morphological studies, tessellation data models, visibility studies and profile editing, animation in ArScene, ArcGlobe virtual globe, hydrological hydrology and soil databases - modelling and analysis of surface and subsurface contamination spreading, climate and vegetation databases - time series analysis of land cover and land use change I. , Climate and vegetation databases - time series analysis of land cover and land use change II. , vegetation databases - time series analysis of forest fragmentation, natural hazards and environmental databases - role of forests in climate change, natural hazards and environmental databases - environmental reconstruction of wetlands, built environment databases - 3D city modelling using remotely sensed data, analysis of the relationship between built-up area and temperature in urban environments, Model Builder basics, referencing software skills.

Literature

  • Kerényi A., McIntosh R. (2020) Sustainable Development in Changing Complex Earth Systems, Springer International Publishing, Springer Nature Switzerland AG, ISBN 978-3-030-21644-3 
  • Paul, P, K, Choudhury, A, Biswas, A, Kumar Singh, A (2022): Environmental Informatics: Challenges and Solutions, Springer International Publishing, Springer Nature Switzerland AG, ISBN 9811920826

Requirements:

Participation at classes is compulsory. A student must attend the courses and may not miss more than three times during the semester. In case a student does so, the subject will not be signed and the student must repeat the course. During the semester there are middle-term and end-term examinations. The end-tem referring involves the knowledge of the software skills.

The minimum requirement for the middle-term and end-term examinations is 60%. Based on the score of the examination is given according to the following table:

Score  Grade
0-49 fail    (1)
50-64 pass  (2)
65-74 satisfactory    (3)
75-85 good    (4)
86-100 excellent (5)

 

Person responsible for course: Dr. Zoltán Krisztián Túri, PhD, Assistant Professor

Last update: 2024. 02. 06. 13:54