TVM4174 - Hydroinformatics for Smart Water Systems


Examination arrangement

Examination arrangement: Aggregate score
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Assignment 1 30/100
School exam 40/100 4 hours D
Assignment 2 30/100

Course content

The course provides an overview of the main applications of hydroinformatics for smart water systems, focusing on state of art in systems analysis, simulation and optimization techniques, with an emphasis on water management problems, at both urban and catchment scales. The course provides an overview of current state of art in smart water systems, focusing on challenges and opportunities. It then focuses on providing a good understanding of key data driven, artificial intelligence techniques such as neural networks, surrogate models and data mining that form the "brains" of smart applications.

The course also provides the basis for understanding and managing the challenge of calibration, decision making and quantification of uncertainty using probabilistic optimization techniques such as evolutionary optimization, genetic algorithms and hybrid approaches. Last but not least, the course provides an overview of the field from the other side: that of novel sources of data for smart water systems, including novel sensors and IoT applications for main elements of the water system (pipes, pumps, actuators etc.).

Learning outcome

Knowledge and competence

The topic shall give the students in-depth understanding of the state of art, challenges and opportunities of smart water systems. They shall understand the principles of data driven methods and evolutionary optimization that underpin most of the "intelligence" behind smart water systems as well as the basics of the opportunities and challenges afforded by new ubiquitous sensing and remote-control technologies.


The students shall be able to use data driven approaches and probabilistic optimization tools to solve relevant problems in water management in the context of smart water systems.

General competence

Students will develop a systems viewpoint to smart water and its link to emerging AI technologies and enhance their ability to critically evaluate problems and solutions in the context of smart water systems.

Learning methods and activities

Lectures will be given on regular basis and supplied with a limited number of hands-on exercises connected to problems from practice. Six hands-on programming assignments related to the course content will be submitted by each student. An oral presentation will focus on briefly presenting a specific project work by each student or student group. A final written exam will consist of multiple choice and open form questions.

Further on evaluation

The course is assessed by a final written exam. Project work and at least 4 out of 6 programming exercises approved is a requirement for attending the exam. In case of a re sit exam the exam may be changed from written to oral.

Required previous knowledge

TVM4125 - Water Supply and Wastewater Engineering, Basic Course or similar

Course materials

Notes of lectures, selection of journal articles.

More on the course



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


Term no.: 1
Teaching semester:  SPRING 2023

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Civil and Environmental Engineering


Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 40/100 D 2023-06-08 15:00 INSPERA
Room Building Number of candidates
Spring ORD Assignment 1 30/100 INSPERA
Room Building Number of candidates
Spring ORD Assignment 2 30/100 INSPERA
Room Building Number of candidates
Summer UTS School exam 40/100 D INSPERA
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.

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

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