course-details-portlet

KT8310 - Risk Based Decision Making in Civil Engineering

About

Examination arrangement

Examination arrangement: Portfolio assessment and oral examination
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
Portfolio assessment 1/3 ALLE
Oral examination 2/3 E

Course content

Introduction to decision under uncertainty by the some motivating examples that will be revisited throughout the course, e.g.: optimal design of a structural component exposed to a time variable load, design of a rock fall gallery, design of a protection structure against terrorist attack, design of a component exposed to fatigue loading, maintenance and repair of that component, design assisted by laboratory tests.\\Advanced review on probability theory and statistics.\\Probabilistic Models (general concepts, but also specifically probabilistic representation of e.g. material resistance, material deterioration, loads, natural hazards, malevolence, accidents, human error…).\\Uncertainty propagation (functions of random variables, Monte Carlo + variance reducing methods, structural reliability methods, sensitivity analysis…).\\Learning models (Maximum Likelihood, Bayesian parameter estimation, …).\\Bayesian Networks and Influence diagrams.\\Bayesian Decision Theory.\\Broader topics: Risk acceptance criteria, representation of Robustness, Resilience and Sustainability, etc.\\

Learning outcome

The student learns, e.g.:to relate practical engineering problems to formal decision theory.to identify systems that represent the engineering decision problems.to develop probabilistic models for the system representation.to apply methods of structural reliability.to assess how save is safe enough.

Learning methods and activities

Lectures and selfstudy

Compulsory assignments

  • Project

Further on evaluation

The students will write a project report on a topic that will be agreed on between the lecturer and the candidate. The topic might cover features of the candidates own PhD project and will cover a sufficiently large fraction of the course content. The report should document work corresponding to one full working week.

Required previous knowledge

Students are expected to have a Civil Engineering background.

Course materials

Lecture Notes, recommended books

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2023

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Engineering
  • Safety and Reliability
  • Design of Experiments
  • Structural Engineering
  • Statistics
  • Engineering Subjects
Contact information
Course coordinator:

Department with academic responsibility
Department of Structural Engineering

Timetable

List view
Calendar view

Examination

Examination arrangement: Portfolio assessment and oral examination

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Portfolio assessment 1/3 ALLE
Room Building Number of candidates
Autumn ORD Oral examination 2/3 E
Room Building Number of candidates
Spring ORD Portfolio assessment 1/3 ALLE
Room Building Number of candidates
Spring ORD Oral examination 2/3 E
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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