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
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.