Knowledge of fundamental operations research and systems analysis methods at the level of a master's degree programme, particularly the basics of mathematical optimisation, graph theory and the use of appropriate computational tools.

Knowledge

Upon successful completion of the course, students will:

• understand advanced principles of operations research and systems analysis and their applications in water management,
• know the principles of linear and nonlinear optimisation, combinatorial methods and multicriteria optimisation,
• understand the principles of graph theory and network analysis,
• be familiar with methods for reliability, failure and risk analysis,
• know the principles of selected computational intelligence methods, particularly artificial neural networks and genetic algorithms,
• understand the possibilities and limitations of individual methods when addressing professional and research problems in water management.

Skills

Upon successful completion of the course, students will be able to:

• formulate a decision-making, optimisation or research problem and transform it into an appropriate model,
• select and apply an appropriate method with regard to the nature of the problem and the available data,
• develop and solve models using appropriate computational and software tools,
• analyse and interpret results and assess their sensitivity, reliability and limitations,
• apply selected operations research methods to specific problems in water management,
• prepare and professionally defend a case study or the solution of a research problem.

Competences

Upon successful completion of the course, students will be able to:

• independently solve complex decision-making and optimisation problems in water management,
• critically assess the suitability of selected methods, modelling assumptions and obtained results,
• combine different analytical, optimisation and modelling approaches according to the nature of the problem,
• apply operations research and systems analysis methods in their own professional and research activities,
• professionally interpret, discuss and defend the applied methodology and the results obtained.

Knowledge of fundamental operations research and systems analysis methods at the level of a master's degree programme, particularly the basics of mathematical optimisation, graph theory and the use of appropriate computational tools.