Courses

Environmental data management and analysis

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

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 (Zotero), online syndication
assessment of information resources, scientometry
methodology of science, critical thinking
intellectual property, licenses