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Water and wastewater treatment (5 cr)

Code: EE00EC13-3004

General information


Enrollment

06.11.2023 - 17.11.2023

Timing

08.01.2024 - 30.04.2024

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

Metsätalouden ja ympäristöteknologian koulutusyksikkö

Campus

Ecampus

Teaching languages

  • English

Seats

15 - 50

Degree programmes

  • Degree Programme in Environmental Engineering

Teachers

  • Hannu Poutiainen

Teacher in charge

Hannu Poutiainen

Groups

  • EEMI23SP
    Environmental Engineering, full-time studies
  • 11.01.2024 10:00 - 11:30, Water and wastewater treatment EE00EC13-3004
  • 18.01.2024 10:00 - 11:30, Water and wastewater treatment EE00EC13-3004
  • 25.01.2024 10:00 - 11:30, Water and wastewater treatment EE00EC13-3004
  • 01.02.2024 10:00 - 11:30, Water and wastewater treatment EE00EC13-3004
  • 05.02.2024 14:30 - 16:00, Water and wastewater treatment EE00EC13-3004
  • 12.02.2024 11:30 - 13:00, Water and wastewater treatment EE00EC13-3004
  • 19.02.2024 10:30 - 12:00, Water and wastewater treatment EE00EC13-3004
  • 07.03.2024 10:00 - 11:30, Water and wastewater treatment EE00EC13-3004
  • 12.03.2024 08:00 - 12:00, Water and wastewater treatment EE00EC13-3004

Objective

You learn to understand the importance of water globally. You know how clean water is produced for human consumption and for other purposes and how the used water is eventually cleaned. You can choose correct treatment methods for urban and rural areas. You know recent technology and methods used in water systems development. You have experience of drinking water production and wastewater treatment operations.

Content

How is drinking water produced in urban and rural areas?
Which parameters influence the quality of drinking water?
How is wastewater treated and how is the treatment process optimized?
How can models be used in water systems planning and operation?

Opiskelumateriaali

Teacher will provide

Yksilölliset oppimisväylät

To be agreed witrh teacher

TKI ja työelämäyhteistyö

If applicable

Opiskelijan työmäärä

135 hours

Evaluation scale

1-5