Environmental informatics for non-programmers (to use geoscientific data and information effectively)

• data structures, relational databases, standards and formats for geoscientific data exchange
• geographical information system (geodata, formats, desktop client, map services, data interpolation, geodata analysis)
• tools for data integration, reporting, visualization and analysis
• environmental data management software, decision support systems
• scientific data management

  , data management plan * IoT networks for environmental monitoring

Flow, transport and geochemical modelling

• general issues: uncertainty classification and assessment, simplicity and complexity
• model development (perceptual, conceptual and procedural model; model ensembles)
• assumptions and limitations
• application software (MODFLOW based models, ModelMuse, PHREEQC)
• case studies using multiple hypotheses qantified by simple models:
  • interaction of groundwater and surface water (flow to surface quarry; interpretation of river discharge; groundwater model for flood protection design; influence of weir on groundwater quality);
  • groundwater pollution (transport)

To retrieve, process, manage and produce scientific literature; methodology of science

• scientific communication and publishing (structure, forms)
• electronic information resources (databases, domain-specific resources, publishers, aggregators, citation indexes, patents, libraries, gray literature)
• citing and referencing, reference manager, online syndication
• assessment of information resources, scientometry
• methodology of science, critical thinking
• intellectual property, licenses
• academic writing, ethics