Economics of Aquatic Resources: Numerical Models (5 cr)

Environmental Economics
Master’s students
University of Helsinki - Environmental Economics
Kari Hyytinen and Marko Lindroos
Period 1
Contact teaching
Viikki campus

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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 Course Page and Sisu
  • Study materials: can be found in Moodle
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Aalto University Students
  • Code: no equivalent code

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

  • Credit points: 5

  • Credit transfer: apply for inclusion in Sisu

Hanken Students
  • Code: 26069

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

  • Credit points: 5

  • Credit transfer: apply for substitution in Sisu

University of Helsinki Students
  • Code: AGERE-E06

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

  • Credit points: 5

FDPE Students Students
  • 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.