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Courses:
Faculty of Geography
- Master Integrated Assessment of Environmental Status
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- Statistics applied in environmental assessment - discipline sheet
- Total hours: 42 (14 + 28), Credits: 5, Examination form: Exam
- Objectives: To know and understand the general notions of statistics. Knowing the types of data distribution. Knowledge of parametric methods of statistical analysis. Knowledge of nonparametric methods of statistical analysis. Knowledge of probability theory. Knowledge and explanation of the types of data distribution. Acquisition of knowledge for the use of statistical programs. Using IBM SPSS and R statistics programs
- Statistics applied in environmental assessment - discipline sheet
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- Applied geostatistics - discipline sheet
- Total hours: 30 (10 + 20), Credits: 5, Examination form: Project (verification)
- Objectives: Understanding the usefulness of geostatistics. Knowledge of the main methods of spatial interpolation. Understanding the disadvantages and advantages of geostatistics analysis in assessing the state of the environment. Explain the differences between spatial interpolation methods. Explain the differences between 2D, 3D and 4D interpolation methods. Explanation of the notions: interpolation, variance, variogram, nugget, sill, cross-validation, validation, voxel, deterministic interpolation, geostatistical interpolation, spatial autocorrelation. Interpretation of results obtained by spatial interpolations. Explaining how to propagate errors in geostatistics analyzes. Acquisition of knowledge for the use of geostatistics programs: Geostatistical Analyst from ArcGIS Desktop, Surfer, GRASS, R, Sgems, GSLib.
- Applied geostatistics - discipline sheet
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- The use of GIS analysis methods in the integrated assessment of the state of the environment - discipline sheet
- Total hours: 56 (14 + 42), Credits: 5, Form of examination: Exam
- Objectives: Understanding the basics of geographic information systems (GIS, WebGIS, Mobile GIS and Real-time GIS). Knowledge of the types of data used in geographic information systems. Creating and managing spatial databases. Explanation of spatial analysis methods performed by neighborhood statistics. Interpretation of spatial analysis results based on cartographic algebra. Understanding how to propagate errors in GIS. Learn how to work with GIS programs used on a global scale: ArcGIS Desktop, Idrisi, PCRaster, Maxent, Marxan, etc. Performing a complex spatial analysis using advanced cartographic algebra techniques.
- The use of GIS analysis methods in the integrated assessment of the state of the environment - discipline sheet
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- Remote sensing in environmental impact assessment - discipline sheet
- Total hours: 42 (14 + 28), Credits: 4, Examination form: Exam
- Objectives: Understanding the basics of electromagnetic spectrum. Knowledge of the types of analyzes used in remote sensing. Calibration of satellite images. Extracting spectral responses and creating spectral libraries. Explaining the notions of: electromagnetic spectrum, spectral response, unsupervised classification, unsupervised classification, object-oriented analysis. Explanation of unsupervised, supervised and object-oriented classification methods. Interpretation of satellite images for mapping vegetation and land use. Learning how to work with remote sensing programs: ENVI, Ecognition. Satellite image processing for integrated environmental assessment.
- Remote sensing in environmental impact assessment - discipline sheet
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- Introduction to geospatial programming - discipline sheet
- Total hours: 56 (14 + 42), Credits: 5, Form of examination: Exam
- Objectives: To develop programming skills in widely used programming languages in geographic information systems. Use of programming languages used in the analysis of geospatial data
- Introduction to geospatial programming - discipline sheet
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- Advanced geo-spatial programming - discipline sheet
- Total hours: 56 (14 + 42), Credits: 5, Form of examination: Exam
- Objectives: To develop programming skills in widely used programming languages in geographic information systems. Use of programming languages used in the analysis of geospatial data
- Advanced geo-spatial programming - discipline sheet
- Environmental Policies for Sustainable Development
- Spatial analysis for environmental planning - discipline sheet
- Total hours: 42 (14 + 28), Credits: 4, Examination form: Exam
- Objectives: The correct use of established methods for spatial analysis in environmental planning. Making your own analysis models. Using the main programs used in spatial analysis for environmental planning
- Spatial analysis for environmental planning - discipline sheet
Invited professor:
- Academy of Economic Sciences - Faculty of Cybernetics, Statistics and Economic Informatics
- Master: Databases - Business Support
- Course taught: Spatial databases
- Master: Economic Informatics
- Course taught: Geographic Information Systems
- Master: Databases - Business Support
- West University of Timisoara - Faculty of Chemistry-Biology-Geography
- Master: Geographic Information Systems in English
- Course taught: Geostatistics
- Master: Geographic Information Systems in English
- Harokopio University from Athens, Greece
- Lectures in English:
- Introduction to GIS programming using Python
- Advanced spatial analysis using Deep Learning
- Lectures in English:
