THT301 Asset Management for Urban Water Infrastructure

Credits (ECTS):7.5

Course responsible:Abbas Roozbahani

Campus / Online:Taught campus Ås

Teaching language:Engelsk

Course frequency:Annually

Nominal workload:The nominal work load for a 7.5-credit course is 187.5 hours in total.

Teaching and exam period:This course starts in the spring parallel. This course has teaching/evaluation in the spring parallel.

About this course

The course aims to provide effective tools for urban water infrastructure management by utilizing asset management strategies to conduct low-cost and low-risk approaches for repairs, rehabilitation, or replacement of assets. Topics covered include:

  • Introduction to asset management in water and wastewater utilities
  • Risk and reliability analysis techniques
  • Cost-benefit analysis in asset management
  • Deterioration (condition) modelling for water pipelines using physical and statistical models
  • Leakage detection and management methods
  • AI-based models for pipe failure prediction models
  • Rehabilitation planning methods such as multiple-criteria decision-making (MCDM), risk-based, optimization and machine learning approaches
  • Case studies

Learning outcome

Upon completion, students should be able to:

  • Identify how to use asset management tools to prepare strategies to sustain water infrastructure systems.
  • Develop an integrated asset management framework for a water system.
  • Conduct risk and reliability assessment in urban water and wastewater systems.
  • Apply different methods and modelling tools in solving practical asset management problems and rehabilitation planning in different urban water systems such as water distribution and drainage networks.
  • Use cost-benefit analysis to determine the most effective maintenance and rehabilitation strategies.
  • Recommend suitable modelling approaches for practical problems and appraise the recent developments in the field of asset management of urban water infrastructure.
  • Learning activities
    The course includes lectures, problem-solving and discussions in class, individual assignments, and group projects/term papers.
  • Teaching support
    Assistance will be available for guidance during lectures, problem solving and group work sessions.
  • Prerequisites
    Knowledge of water and wastewater engineering equivalent to the courses THT100 and THT261. Basic knowledge of statistics and data analysis equivalent to the course STAT100 or DAT110.
  • Recommended prerequisites
    Basic knowledge of machine learning techniques equivalent to the course DAT200
  • Assessment method

    Combined assessment based on:

    • Compulsory assignments (counts 40 %) during the semester
    • Paper based written exam (counts 60 %) in the exam period, 2 hours, aids code B2 (distributed calculator, specified other aids)

    Grade scale: A - F



  • Examiner scheme
    The external and internal examiner jointly prepare the exam questions and the grading guide. The external examiner reviews the internal examiner's assessment of a random sample of candidates as a calibration at certain intervals according to the faculty's guidelines for exam grading.
  • Mandatory activity
    Submission of compulsory assignments including a few individual exercises and one group project/term paper. These assignments count towards the final grade.
  • Notes
    The course is primarily designed for students aiming for a master's degree in water and environmental engineering, but is also useful for other technology students.
  • Teaching hours
    Lectures: 39 hours (three hours per week). Exercise/support for group work sessions: 26 hours (two hours per week).
  • Admission requirements
    REALFAG (special requirements in science)