Uppgifter om studieperioden

Period IV, every year

Recommended during the first year of Master Studies

• 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.

Contact teaching in computer class. Assignments given during class and term paper using the methods to a selected problem.

Description of the courses or modules that must be completed before taking this course or what other prior learning is required

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.

Conrad, J. 2010 Resource Economics. Second edition.

The course includes e.g. independent working and group working in the computer class.

Grading 1-5. Assignments 60 %, Term paper 40 %.

Replaces the former course 863011 YLE16 Numerical models in environmental and resource economics 5 cr.

Kari Hyytiäinen, Marko Lindroos, Erika Uusivuori

Suitable for exchange students