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701-1565-00L 6 Credits MSC D-USYS
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Quantitative Policy Analysis and Modeling

Lecturers & Examiners: Prof. Dr. Anthony Patt, Dr. Brynmor Pickering, Dr. Stefan Pfenninger, Dr. Rachael Garrett
VVZ CR n/a

Last Updated: 2026-02-05 15:34:13

Abstract

The 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

Objective

The 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.

General Information

Language
English
Levels
MSC
Frequency
Yearly recurring

Examination

Type
ungraded semester performance
There 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.

Course Components

Type Title Time & Place Hours
lecture with exercise Quantatitive Policy Analysis and Modeling
  • Wed 14:00-16:00 (ON LI NE)
  • Fri 14:00-16:00 (ON LI NE)
4 h weekly

Offered In