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CU13: Challenges in Natural and Technological Hazards

Course Summary

This course focuses on natural and technological hazards, including their assessment and response strategies. It covers theoretical foundations, computational tools, and real-world applications in hazard assessment, risk management, and disaster response planning. Students will explore the integration of artificial intelligence (AI) tools to enhance mitigation strategies. The curriculum emphasizes practical applications through case studies based on real-world scenarios, equipping students to use predictive models, optimization methods, and geospatial analysis effectively.

Course Highlights

  • Theoretical Foundations of Natural and Technological Hazards
  • Predictive Modeling with Machine Learning for Hazard Forecasting
  • Optimization Techniques for Efficient Disaster Response
  • Geospatial and Time-Series Data Analysis
  • AI Integration in Hazard Mitigation and Emergency Response
  • Real-world Case Studies and Practical Applications
  • Development of Hazard Assessment and Response Strategies

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For detailed syllabus, learning outcomes, evaluation methods, and recommended bibliography, please refer to the official course documentation.
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