–
- Code:
- AGERE-E06
- Field:
- Environmental Economics
- Target:
- Master’s students
- Organiser:
- University of Helsinki - Environmental Economics
- Instructor:
- Kari Hyytinen and Marko Lindroos
- Period:
- Period 1
- Format:
- Lecture
- Method:
- Contact teaching
- Venue:
- Viikki campus
- Enrollment:
In case of conflicting information consider the Sisu/Courses/Moodle pages the primary source of information.
Content
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.
Teaching
- Completion method: contact teaching
- Schedule: can be found in Course Page and Sisu
- Study materials: can be found in Moodle
- For some courses, it is enough to register in Sisu and you can access directly the Moodle area, please note, however, that it may take up to two hours after registration to enter the Moodle area.
- Log in with your UH username to be able to use all the features of the course workspace
- More tips for enrolling in Moodle can be found here
University-specific instructions
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
Learning outcomes
- 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.