Programplaner og emneplaner - Student
MABY5315 Urban Water Technology Course description
- Course name in Norwegian
- Urban Water Technology
- Weight
- 10.0 ECTS
- Year of study
- 2026/2027
- Course history
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- Programme description
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Introduction
Graded scale A-F
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Required preliminary courses
One internal examiner. External examiners are used on a regular basis.
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Learning outcomes
Berthe Dongmo-Engeland
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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.
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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
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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.
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Permitted exam materials and equipment
All aids is permitted as long as rules for source referencing are followed.
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Grading scale
Graded scale A-F
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Examiners
Part 1)Two internal examiners
Part 2) Two internal examiners
External examiners are used regularly
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Course contact person
Benedek György Plosz
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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.