Digitalization in the Water Sector
Syllabus, Master's level, 1HY215
- Code
- 1HY215
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Water Engineering A1F
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 5 February 2024
- Responsible department
- Department of Earth Sciences
Entry requirements
120 credits including Computer Programming I. Field methods in Earth Sciences or Measurement methods in the water sector or Meteorology, Hydrology and Environmental Measurement Techniques. Participation in course Distribution and treatment of drinking water, or Municipal and industrial waste water treatment. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Learning outcomes
Upon completion of the course, the student should be able to:
- critically reflect on the historical development and current application of digitalization in the water sector, including the strengths, weaknesses, opportunities and threats with digitalization,
- design and critically evaluate digitalization schemes in the water sector,
- Identify the security risks and ethical implications associated with different data transfer and storage systems,
- analyze time series for trends, periodic signals, and outliers using statistical methods,
- Implement and interpret the results of process-based and data-driven models for relevant water sector applications,
- plan and conduct projects related to digitalization in the water sector.
Content
The course covers driving forces and adaptation measures for digitalization in the water sector, which encompasses drinking water and wastewater utilities, stormwater management, and the interconnection of the water, food and energy sectors. Digitalization is considered within the contexts of water quality monitoring, treatment process control, and pipe network and reservoir operations through the application of real-time monitoring, automatic control, sensors, remote sensing, and Internet of Things. The digitalization tools included in the course are machine learning, artificial intelligence, and statistical and process-based mechanistic modelling. Special attention is given to data transfer and IT security, as well as ethics related to digitalization.
The course includes project work with digitalization case studies. Project work may be integrated with other educational programs.
Instruction
Lectures, seminars, computer exercises, project work in groups. Project work with other educational programs may be included.
Assessment
Seminars and exercises (5 credits), written and oral presentation of project work (5 credits).
Other directives
This course cannot be included in the same degree as 1HY850 Digital Water for Sustainable Cities due to content overlap.
Reading list
No reading list found.