Risk Analysis is a course that aims to provide students with skills in risk and resilience analysis methods of systems, structures or infrastructure exposed to natural and non-natural hazards such as floods, accidental pollution, earthquakes, landslides, etc.
It is part of the Master's Degree in "Civil Engineering for Protection against Natural Hazards", which aims to train civil engineers capable of solving complex problems related to new or unfamiliar issues embedded in broad (including interdisciplinary) contexts related to structural and water engineering.
The course aims to teach the concepts of hazard, vulnerability, fragility, risk and resilience, the theoretical formulation and the probabilistic approach to risk analysis. Upon completion of the course, students will be able to (i) apply the methods of probabilistic risk analysis, (ii) critically evaluate the results, including their use in making decisions about prevention, mitigation and adaptation measures, and (iii) communicate the results effectively.
It is part of the Master's Degree in "Civil Engineering for Protection against Natural Hazards", which aims to train civil engineers capable of solving complex problems related to new or unfamiliar issues embedded in broad (including interdisciplinary) contexts related to structural and water engineering.
The course aims to teach the concepts of hazard, vulnerability, fragility, risk and resilience, the theoretical formulation and the probabilistic approach to risk analysis. Upon completion of the course, students will be able to (i) apply the methods of probabilistic risk analysis, (ii) critically evaluate the results, including their use in making decisions about prevention, mitigation and adaptation measures, and (iii) communicate the results effectively.
Curriculum
teacher profile teaching materials
2-Ordinary differential equations
3-Partial differential equations
4-Descriptive statistics
5-Inferential statistics
-Chapra S., 2018. Applied Numerical Methods with MATLAB for Engineers and Scientists, 4th Edition, McGrawHill Education.
-Chapra S., Canale R., 2015. Numerical Methods for Engineers 7th Edition, McGrawHill Education.
-Ross S. M., 2015. Probabilità e statistica per l'Ingegneria e le scienze, Apogeo Education.
-Navidi W., 2006. Probabilità e statistica per l'Ingegneria e le scienze, Apogeo McGraw-Hill.
Programme
1-Introduction to programming in Matlab2-Ordinary differential equations
3-Partial differential equations
4-Descriptive statistics
5-Inferential statistics
Core Documentation
-Lecture notes-Chapra S., 2018. Applied Numerical Methods with MATLAB for Engineers and Scientists, 4th Edition, McGrawHill Education.
-Chapra S., Canale R., 2015. Numerical Methods for Engineers 7th Edition, McGrawHill Education.
-Ross S. M., 2015. Probabilità e statistica per l'Ingegneria e le scienze, Apogeo Education.
-Navidi W., 2006. Probabilità e statistica per l'Ingegneria e le scienze, Apogeo McGraw-Hill.
Attendance
In classroomType of evaluation
During the exam the students develop 9 exercise, automatically checked by a software. teacher profile teaching materials
2-Ordinary differential equations
3-Partial differential equations
4-Descriptive statistics
5-Inferential statistics
-Chapra S., 2018. Applied Numerical Methods with MATLAB for Engineers and Scientists, 4th Edition, McGrawHill Education.
-Chapra S., Canale R., 2015. Numerical Methods for Engineers 7th Edition, McGrawHill Education.
-Ross S. M., 2015. Probabilità e statistica per l'Ingegneria e le scienze, Apogeo Education.
-Navidi W., 2006. Probabilità e statistica per l'Ingegneria e le scienze, Apogeo McGraw-Hill.
Programme
1-Introduction to programming in Matlab2-Ordinary differential equations
3-Partial differential equations
4-Descriptive statistics
5-Inferential statistics
Core Documentation
-Lecture notes-Chapra S., 2018. Applied Numerical Methods with MATLAB for Engineers and Scientists, 4th Edition, McGrawHill Education.
-Chapra S., Canale R., 2015. Numerical Methods for Engineers 7th Edition, McGrawHill Education.
-Ross S. M., 2015. Probabilità e statistica per l'Ingegneria e le scienze, Apogeo Education.
-Navidi W., 2006. Probabilità e statistica per l'Ingegneria e le scienze, Apogeo McGraw-Hill.
Attendance
In classroomType of evaluation
During the exam the students develop 9 exercise, automatically checked by a software.