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Industrial Emissions and Monitoring (4 cr)

Code: 5E00BG69-3005

General information


Enrolment period
26.11.2018 - 08.01.2019
Registration for the implementation has ended.
Timing
07.01.2019 - 30.04.2019
Implementation has ended.
Credits
4 cr
Local portion
4 cr
Mode of delivery
Contact learning
Unit
Built Environment and Bioeconomy
Campus
TAMK Main Campus
Teaching languages
English
Degree programmes
Degree Programme in Energy and Environmental Engineering
Teachers
Jari Puranen
Jarmo Lilja
Person in charge
Mika Nieminen
Course
5E00BG69

Objectives (course unit)

After completing this course student:
- knows the characteristics of different natural and industrial emissions to air, water and soil
- knows the dispersion and deposition processes of emissions
- knows the modelling systems of environmental pollution

Content (course unit)

Air, water and soil, noise and radiation pollution, practical exercises in measuring and monitoring emissions

Prerequisites (course unit)

All Physics courses, Basics for Environmental Technology and Management, Sustainable Industrial Production

Exam schedules

Week 17

Evaluation methods and criteria

Assessment is based on exercises, modelling work, seminar presentation and final exam.
Noise modelling and exercises max. 15 points
Air pollution modelling and exercises max. 15 points
Seminar presentation max. 5 points
Final exam max. 15 points.
Max. total points 50. First passing grade is achieved with 20 points and grades go up in 6 point intervals.

Assessment scale

0-5

Teaching methods

Contact teaching
Exercises
Co-operative learning
Computer simulations
Written report
Poster presentation

Learning materials

Lecture material is available in tabula.tamk.fi

Student workload

Noise modelling and fundamental concepts of sound 20 h
Particle dispersion fundamentals and modelling 20 h
Seminar presentation 3 h
Exam 3 h
Independent modelling work 60 h

Completion alternatives

N/A

Practical training and working life cooperation

N/A

Assessment criteria - fail (0) (Not in use, Look at the Assessment criteria above)

Student hasn't returned all required assignments, or student is unable to show adequate proficiency in noise and particle modelling. For example results from the modelling might be completely incorrect and out of this world.

Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)

Student is able to analyse simple noise and particle modelling cases both qualitatively and quantitatively. Student needs extra support to be able to complete given tasks. Exercises have been done, but results might be slightly erroneous.

Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)

Student is able to use correct terminology and presents justified qualitative and quantitative analysis. Exercises are done completely, and results and analysis are correct. Results are briefly commented.

Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)

Student shows the ability to do versatile qualitative and quantitative analysis. Student has a realistic knowledge of the limitations of the theoretical framework. Reports are comprehensive and well-structured. Student is able to show his or her own conclusions clearly.

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