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Coastal Ecology II (6 cr)

Code: CM22CE02-3002

General information


Enrollment

15.06.2023 - 01.09.2023

Timing

01.08.2023 - 31.12.2023

Number of ECTS credits allocated

6 op

Mode of delivery

Contact teaching

Campus

Ekenäs, Raseborgsvägen 9

Teaching languages

  • English

Degree programmes

  • Degree Programme in Sustainable Coastal Management

Teachers

  • Stefan Heinänen
  • Jonna Engström-Öst
  • Anna-Karin Almén

Groups

  • CM23D-E
    Sustainable Coastal Management, full-time studies, 2023

Objective

The student:
- knows how to collect, analyze and report ecological data
- can identify and understands the value of ecosystem services in the coastal area

Content

- data collection in the field
- data analysis using GIS and Excel
- ecosystem services in the coastal areas
- reporting and presentation

Location and time

Period 1 - 2, 28.8-15.12 Campus Raseborg

Materials

Study material is provided on the moodle page during the course and collected in the field

Teaching methods

Project based learning, project work, field work, lectures, assignments

Exam schedules

Examination is completed during the course

Completion alternatives

The student is assessed on the basis of performance in assignments

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The assignments were completed and the student obtained a basic understanding of the course content

Assessment criteria, good (3)

The assignments were completed without major remarks and the student obtained a good understanding of the course content

Assessment criteria, excellent (5)

Assignments were completed without remarks and the the student obtained an excellent understanding of the course content

Assessment methods and criteria

Active participation in lectures and discussions as well as assignments graded 1-5, based on the grades of the separate parts

Assessment criteria, fail (0)

<50% of the maximum number of credits earned in the assignments

Assessment criteria, satisfactory (1-2)

50-59% (=1) or 60-69% (=2) of the maximum number of credits earned in the assignments respectively

Assessment criteria, good (3-4)

70-79% (=3) or 80-89% (=4) of the maximum number of credits earned in the assignments respectively

Assessment criteria, excellent (5)

90-100% (=5) of the maximum number of credits earned in the assignments respectively

Qualifications

No previous knowledge requirements