EPN-V2

MABY5315 Urban Water Technology Course description

Course name in Norwegian
Urban Water Technology
Weight
10.0 ECTS
Year of study
2026/2027
Course history
  • Introduction

    Graded scale A-F

  • Required preliminary courses

    One internal examiner. External examiners are used on a regular basis.

  • Learning outcomes

    Berthe Dongmo-Engeland

  • Teaching and learning methods

    The teaching will consist of a combination of:

    • Lectures & discussions
    • Independent studies including video recordings and online exercises
    • Coursework assignments
    • Practical use of tools and software
    • Field excursions

    Live in-person and online lectures will be recorded, and the material will be made available to students on CANVAS.

  • Course requirements

    The following coursework requirements should be completed and approved in order for the student to take the exam:

    • 2 project reports submitted in multiple parts (written reports should include 700-1000 words in addition to supporting information/appendices). Formatting requirements are specified by each lecturer.
    • 1 field excursion. Hand in of a report from the field excursions (approx. 300 words).
    • A written exercise for missing attendance of field excursion.
    • 60 % physical presence is mandatory in lectures and training. A written exercise for missing attendance.

    Students who fail to meet the coursework requirements can be given up to one re-submission opportunity before the exam

  • Assessment

    Part-exam with the following components:

    Part 1: Portfolio including two individual projects to be handed in counting for 70 % of the grade;

    (A) Bioprocess technology: hand in an individual written report of 1500-1700 words, in addition to supportive information/appendices.

    (B) Urban Pipe Systems: hand in an individual written document of 1500-1750 words in addition to appendices.

    Part 2: One individual oral presentation on the bioprocess technology part (15 min) followed by individual Q&A (10 min), counting for 30 % of the grade.

    Part 1 can be appealed, part 2 cannot be appealed.

    In the event of failed or valid absence of exam, the postponed exam will be given as either an oral or written examination.

  • Permitted exam materials and equipment

    All aids is permitted as long as rules for source referencing are followed.

  • Grading scale

    Graded scale A-F

  • Examiners

    Part 1)Two internal examiners

    Part 2) Two internal examiners

    External examiners are used regularly

  • Course contact person

    Benedek György Plosz

  • Overlapping courses

    After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence.

    Knowledge

    The student has

    • good understanding of the water pollutant and resource classifications in water resource systems;
    • advanced knowledge of biological, chemical and physical-chemical reactor operations to remove water pollutants;
    • advanced comprehension of bioprocess reactor operations in water resource recovery facilities;
    • advanced knowledge of design, optimization and control of water process systems;
    • good understanding of data analysis in water process systems.

    Skills:

    The student

    • can use pollutants classifications, describe their impact and fate in the water environment;
    • can conceptualize complex bio-processes to separate and recover urban water resources;
    • is capable to apply systems analysis methods to water resource recovery processes;
    • is capable to apply process knowledge to build advanced computer simulation models to critically evaluate and select from alternative technologies;
    • has hands-on computational experience to deal with novel scenarios, solve problems and make engineering decisions in the face of incomplete or uncertain information;
    • has hands-on expertise to appraise solutions for eliminating water environmental problems.

    General competence:

    The student

    • has deep insight into smart water process engineering with links to global sustainable development;
    • is able to infer mathematical description of advanced unit operations and to create advanced computer simulation models of whole smart water resource engineered systems;
    • is able to solve advanced smart water process design and optimization problems using information processing tools.