Waste Treatment Technology (5 ECTS)

Learning outcomes

The student recognises basic principles of waste management and is able to do simple waste plans for municipal solid waste.

Content

-Formation of solid waste, waste management, composition of waste and financial aspects
-Small scale industry waste
-Organic agricultural waste
-Waste treatment and disposal technologies

Prerequisites

The student have the basic knowledge of quality- and environmental management systems. The student understands the basics of environmental chemistry of waste and soil. The student recognises selected environmental engineering processes and equipment as part of the process.

Teaching methods

Teaching is in English mainly as classroom teaching. Work will be done independently and in groups.
- Lectures
- Laboratory assignments
- Assignments
- Mid exams
- Exam

Independent studying and online studying:
- Studying the material
- Mid exams
- Moodle

Location and time

- Lectures and exercises will be held according to the schedule.
- Lectures and exercises will be conducted in-person unless otherwise agreed.
- Laboratory exercises will be arranged separately in laboratory A135a.

Learning materials and recommended literature

Course material is available in Moodle workspace
Possibly also: E-book Christensen, Thomas H. Solid Waste Technology & Management

Alternative completion methods of implementation

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Internship and working life connections

-

Exam dates and retake possibilities

Mid-exams
3.11.2025 and 8.12.2025

Resit exam
15.12.2025
Changes are possible

Student workload

Student time management is approx. 27 h / 1 credit
- Lectures: 36h
- Laboratory exercises+report 25h
- Assignments: 40h
- Lecture notes: 10h
- Independent study, reading material: 24h
- Timeload appox. 8 h / week / autumn

Content scheduling

-

Further information for students

Use of Artificial Intelligence in the Course:

The use of artificial intelligence is allowed, it can be used, it must be told.

Students can use AI in the creation of their work, but they must clearly indicate its use. The use of AI tools can be mentioned in the methods or similar sections. The failure to disclose the use of AI, will be considered as cheating.

- Using AI to refine the details of the implementation is recommended. For example, upload lecture material to the AI and ask it to explain and ask questions.
- AI can be used for brainstorming homework/report ideas, but it should not produce the entire report. Write the report yourself, upload it to the AI, and ask for correction suggestions.
- AI is not recommended for use in exams, as AI cannot solve exam tasks and produces incorrect answers for them. (tested)

Assessment methods and criteria

Mid-exams, a total of 50 points
-2 mid-exams (1st exam 30 points and 2nd exam 20 points)
Assignments&laboratory reports, a total of 50 points
-Including lecture tasks
Moodle reading material, pass
Well-made lecture notes, a total of 20 points (partially optional)

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student recognises different stages of waste management and can estimate their purpose.

Assessment criteria, good (3)

The student can design simple management chain for municipal solid waste.

Assessment criteria, excellent (5)

The student can design efficient and sustainable management chain based on statistical/given date for municipal solid waste.

Assessment criteria, approved/failed

The student recognises different stages of waste management and can estimate their purpose.