Introduction to data integration and data mining for development and application of mathematical models.

Competence of students to apply algorithms and models and develop hydroinformatic tools to solve real world engineering problems.

Introduction to relational database. Spatial data models. GIS basics. Raster and vector presentation of spatial data. Introduction to graph algorithms. Application of graph algorithms to hydro-networks: minimum spanning tree, finding the shortest path, graph clustering, topological sorting etc. Computational geometry algorithms: creating and analysis of digital terrain model, delineation algorithms. Mathematical modeling in water sciences. Physically based and data driven modeling. Problems of space and time scale of models. Calibration and verification of models.

Formulation of tasks for seminar papers.