MENY
This is the study programme for 2019/2020. It is subject to change.


This course will give an overview of the infrastructure systems that form the basis for health, safety/security, and economic prosperity in the developed world. It will provide a foundation in how infrastructure systems are modeled, and the main tools and techniques used in risk and resilience modeling of infrastructure systems. This will include engineering models of performance (power flow models and hydraulic models) and network theoretic, simulation, and optimization models of infrastructure systems. A major focus will be on reading, understanding, and discussing recent research on quantitative modeling of infrastructure risk and resilience for supporting infrastructure management and policy decision-making.

Learning outcome

After taking and passing this course a student shall:
Knowledge
  • Recognize, describe and distinguish between different terms, principles and methods related to resilience and resilience engineering
  • Be able to define the main types of infrastructure systems and the roles they play in modern society
  • Be able to explain major hazards facing infrastructure systems and how their impacts are modeled
  • Be able to explain the major classes of infrastructure risk and resilience models and their relative strengths and weaknesses

Skills
  • Assess the strengths and limitations of the state of the art in infrastructure research
  • Apply engineering flow models, network theory based models, and simulation models for an infrastructure system to support risk and resilience assessment

General competence
  • Have the ability in writing and orally to communicate scientific problems related to infrastructure risk and resilience

Contents

This course provides a first, Master-level introduction to infrastructure risk and resilience. There are three main parts to the course.
The first part of the course focuses on providing background on infrastructure itself - what it is and its engineering properties. This part will consist of lectures focused on how infrastructure and the services infrastructure provide are defined in different countries and why infrastructure is of critical importance to society. It will close with an overview of two major types of engineering models of infrastructure performance - power flow modeling for electric power systems and hydraulic modeling for water supply systems.
The second part of the course will through seminars focus on discussion-based exploration of the current research literature on infrastructure risk and resilience.
In the third part of the course, students will build from both the two first parts of the course to carry out a substantial project individually or in teams of 2-3 students (depending on the number of students taking the course).

Required prerequisite knowledge

None.

Recommended previous knowledge

RIS500 Risk analysis and risk management

Exam

Project report and written exam
Weight Duration Marks Aid
Project report1/2 A - F
Written exam1/24 hoursA - FBasic calculator.
Students shall write a 10-15 page (single-spaced) project report.
If you fail the project, you must retake the project work the following year.
Written exam is digital exam (Inspera).

Coursework requirements

For the project work, the students shall within defined deadlines submit to the course teacher a rough sketch of solution (interpretation of the problem and plan for the work), a draft of the report, and a final report.
Attendance at the lectures covering infrastructure modeling, simulation and analysis are mandatory.

Course teacher(s)

Course coordinator
Roger Flage
Course teacher
Seth David Guikema

Method of work

Lectures, seminars and group work. Student-active methodology and close dialogue between student and teacher are key elements in the pedagogical work form.

Open to

Master programs at the Faculty of Science and Technology

Course assessment

The course is evaluated in line with Faculty guidelines and plans.

Literature



This is the study programme for 2019/2020. It is subject to change.

Sist oppdatert: 26.06.2019