Stockholm university
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Baltic Sea Ecosystem: Applications, Modeling and Management

This course will provide students in environmental or marine science a complete overview about all aspects of ‘ecosystem management’.

The students will actively participate in all parts of the process starting with data assimilation, ecosystem modeling and future predictions, and ending with drawing conclusions and recommending management measures. The aim is that the students will gain a deeper understanding of both how to collect, analyze and model data from marine ecosystems and how these scientific data can be translated into management policy decisions. This is important whether the student will continue within environmental science or work with management aspects in society.

  • Course structure

    The course will consist of 4 blocks, containing lectures, practical work and dialogue meetings with people working in different authorities. A tentative outline of the course: 1) Theory: Science and Policy: Introductory lectures + introduction to modeling (2 weeks). This module will be finalized with a written exam. 2.) Fieldwork: Sampling and statistics (3 weeks). At our field station on Askö. 3) Indicators, modeling and scenario predictions (3 weeks) 4) Science communication and policy implementation (2 weeks).

    Learning outcomes

    A list of the learning outcomes can be found in the syllabus. Please find the link to the syllabus on the right side of this page.

    Assessment

    Measurement of knowledge takes place through written examinations.

     

    Examiner

    Michael Tedengren

    E-mail: michael.tedengren@su.se

  • Schedule

    The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.
  • Course literature

    Note that the course literature can be changed up to two months before the start of the course.

    No mandatory course book.

  • Course reports

  • Contact

    Student office
    Study counsellor for advanced level