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Matlab programming language is used to formulate and solve a number of case study problem formulations. The case study examples include combatting eutrophication (i.e. reduction of the nutrients loads to the inland waters and the Baltic Sea) and fisheries management. The techniques and methods studied include static optimization (both unconstrained and constrained), dynamic discrete-time optimization, cohort models, game theoretic applications, Monte Carlo simulation, data fitting, dynamic programming, cost-effectiveness analysis and cost benefit analysis.

  • Completion method: contact teaching
  • Schedule: can be found in Courses Page and Sisu
  • Study materials: can be found in Moodle
    • A link and a Moodle course key will be sent by email before the course starts and/or they will be provided on the Courses page: you can view the information on this site without logging in or registering, but some of the content added by teachers to course pages may be available to course participants only, for example Moodle course enrolment key.
    • Log in with your UH username to be able to use all the features of the course workspace

Please register for the course in the UH Sisu with your UH username. Further instructions (link to be added here later).

    • Code: no equivalent code

    • Target groups: MSc (not suitable for PhD students)

    • Credit points: 5

    • Credit transfer: apply for inclusion in Sisu

    Further instructions (link to be added here later)

    • Code: 26069

    • Target groups: MSc (not suitable for PhD students)

    • Credit points: 5

    • Credit transfer: apply for substitution in Sisu

    Further instructions (link to be added here later)

    • Code: AGERE-E06

    • Target groups: MSc students (not suitable for PhD students)

    • Credit points: 5

    • Not suitable for PhD students

  • Understanding the potential of modelling and numerical analysis in planning, implementation and evaluation of water protection efforts and projects
  • Learn the skills needed to formulate and solve bio-economic problem formulations including static and dynamic problems and deterministic and stochastic problems.