701-1565-00L  Quantitative Policy Analysis and Modeling

SemesterAutumn Semester 2020
LecturersA. Patt, R. Garrett, S. Pfenninger, B. Pickering
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
701-1565-00 GQuantatitive Policy Analysis and Modeling4 hrs
Wed14:00-16:00ON LI NE »
Fri14:00-16:00ON LI NE »
A. Patt, R. Garrett, S. Pfenninger, B. Pickering

Catalogue data

AbstractThe lectures will introduce students to the principles of quantitative policy analysis, namely the methods to predict and evaluate the social, economic, and environmental effects of alternative strategies to achieve public objectives. A series of individual assignments, and one group project, will give students an opportunity for students to apply those methods to a set of case studies
ObjectiveThe objectives of this course are to develop the following key skills necessary for policy analysts:
- Identifying the critical quantitative factors that are of importance to policy makers in a range of decision-making situations.
- Developing conceptual models of the types of processes and relationships governing these quantitative factors, including stock-flow dynamics, feedback loops, optimization, sources and effects of uncertainty, and agent coordination problems.
- Develop and program numerical models to simulate the processes and relationships, in order to identify policy problems and the effects of policy interventions.
- Communicate the findings from these simulations and associated analysis in a manner that makes transparent their theoretical foundation, the level and sources of uncertainty, and ultimately their applicability to the policy problem.
The course will proceed through a series of policy analysis and modeling exercises, involving real-world or hypothetical problems. The specific examples around which work will be done will concern the environment, energy, health, and natural hazards management.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits6 credits
ExaminersA. Patt, R. Garrett, S. Pfenninger, B. Pickering
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationThere will be a set of five individual modelling assignments utilising a flipped-classroom, and one large group project at the end of the semester requiring a presentation and written report.

Learning materials

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Only public learning materials are listed.

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Restrictions

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Offered in

ProgrammeSectionType
Environmental Sciences MasterModeling and Statistical AnalysisOInformation