Knowledge and understanding: On completion of this course the student will be able to: - explain basic categories and terms in domain of risk management in civil engineering, - understand matter of planning and plan implementation in risk conditions in civil engineering projects, - apply data bases, fuzzy logic, neural networks and genetic algorithms in domain of risk management in civil engineering, - apply adequate skills in recognition of risks, their influence and mutual dependence, - make categorisation of risks and recognise their weight criteria in multi-criteria analysis, - make risk assessment for certain situation. Transferable / Key skills and other attributes: - Communication skills: oral defence of seminar paper, manner of expression in seminar paper and at written examination. - Use of information technology: use of risk management software tools. - Calculation skills: performing calculation operations in risk management algorithms. - Problem solving: risk assessment.
Name | Lectures | Exercises | Laboratory |
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MILOŠ KNEŽEVIĆ | 4x1 2P | 2x1 2P | 1x1 2P |