Industrial Emissions and Monitoring (4 op)
Toteutuksen tunnus: 5E00BG69-3006
Toteutuksen perustiedot
- Ilmoittautumisaika
- 25.11.2019 - 14.01.2020
- Ilmoittautuminen toteutukselle on päättynyt.
- Ajoitus
- 07.01.2020 - 30.04.2020
- Toteutus on päättynyt.
- Laajuus
- 4 op
- Lähiosuus
- 4 op
- Toteutustapa
- Lähiopetus
- Yksikkö
- Environmental Engineering
- Toimipiste
- TAMK Pääkampus
- Opetuskielet
- englanti
- Paikat
- 30 - 35
- Koulutus
- Degree Programme in Energy and Environmental Engineering
- Opettajat
- Jarmo Lilja
- Jari Puranen
- Opintojakso
- 5E00BG69
Osaamistavoitteet (Opintojakso)
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
Sisältö (Opintojakso)
Air, water and soil, noise and radiation pollution, practical exercises in measuring and monitoring emissions
Esitietovaatimukset (Opintojakso)
All Physics courses, Basics for Environmental Technology and Management, Sustainable Industrial Production
Tenttien ja uusintatenttien ajankohdat
Week 11 and 17, unless otherwise announced.
Arviointimenetelmät ja arvioinnin perusteet
Assessment is based on exercise sets, modelling exercise and report, seminar presentation and exams. For both portions of the course:
Exercises are graded from 0 to 5, where 40 % of problems correctly solved gives grade 1 and 90 % gives grade 5 (exercises are not mandatory)
1 written report is graded from 1-5 (have to pass, details about grading from teachers)
1 exam is graded from 1 (40 % of points) to 5 (90 % of points) (have to pass)
In addition the seminar presentation is graded from 1 to 5. Seminar presentation is mandatory and also you need to be present as an opponent for another student giving the presentation. If you are not present as an opponent, there will be a penalty of -1 to your seminar grade. You will either give the presentation on noise modelling or on particle modelling.
Grade for both portions is calculated as an average of different graded tasks and the total grade of the course is an average of grades for two portions.
Arviointiasteikko
0-5
Opiskelumuodot ja opetusmenetelmät
Contact teaching
Exercises
Co-operative learning
Computer simulations
Written report
Poster presentation
Oppimateriaalit
Most of the material is available in tabula.tamk.fi, some specific materials might only be available during lectures.
Opiskelijan ajankäyttö ja kuormitus
Noise modelling and fundamental concepts of sound 20 h
Particle dispersion fundamentals and modelling 20 h
Seminar presentation 3 h
Exams 4 h
Independent work 60 h
Toteutuksen valinnaiset suoritustavat
N/A
Harjoittelu- ja työelämäyhteistyö
N/A
Arviointikriteerit - hylätty (0) (Ei käytössä, kts Opintojakson Arviointikriteerit ylempänä)
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 or the student isn't able to solve any of the exam problems.
Arviointikriteerit - tyydyttävä (1-2) (Ei käytössä, kts Opintojakson Arviointikriteerit ylempänä)
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 erroneous.
Arviointikriteerit - hyvä (3-4) (Ei käytössä, kts Opintojakson Arviointikriteerit ylempänä)
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.
Arviointikriteerit - kiitettävä (5) (Ei käytössä, kts Opintojakson Arviointikriteerit ylempänä)
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.