Anthony Patt: Catalogue data in Spring Semester 2025 |  |
| Name | Prof. Dr. Anthony Patt |
| Field | Climate Policy |
| Address | Professur Klimaschutz & -anpassung ETH Zürich, CHN J 74.2 Universitätstrasse 16 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 58 21 |
| anthony.patt@usys.ethz.ch | |
| Department | Environmental Systems Science |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 701-0650-00L | Risk Analysis and Management | 3 credits | 2G | A. Patt, L. Booth, D. N. Bresch | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course introduced students to principles of quantitative risk analysis, across a wide variety of environmental areas including weather and climate, natural hazards, and toxic substances. It also introduces them to established practices of risk management, including regulatory approaches, insurance, and contingency planning. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | - Competence in applying methods of quantitative risk analysis. - Understanding of common approaches towards risk management. - Understanding of the importance of risk and uncertainty in decision- and policy-making. - Ability to communicate risk information clearly and effectively. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Statistics for risk analysis; Monte Carlo simulation; toxicology and epidemiology; exposure assessment; fault tree analysis; risk in decision-making; risk perception and communication; loss spreading and insurance; mitigating natural hazard losses; risk and climate change policy. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | none | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 701-1562-00L | Principles of Management for Sustainability | 6 credits | 4P | A. Patt, E. Lieberherr, I. M. Nienkerke | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course will proceed through a series of management concepts that will be applied to envrionmental case studies. Students will engage in individual and group work to practice the art of effective management, recommending a course of action for the individual and organization that is the subject of each case, gaining valuable insights into environmental management. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | - Identify the facts, assumptions, theories, and social constructions guiding the management of organizations and decision-making to a range of environmental and natural resource policy problems. - Recognize key institutional and interpersonal challenges in management and decision-making situations. - Design communication and decision-making processes that can work effectively in the context of stakeholder worldviews and perspectives. - Conduct qualitative and quantitative analysis of value to decision-makers, and communicate that in a manner that is clear and effective. - Consider broader policy issues applicable across the cases, such as the appropriate roles of public, non-profit, and private sector organizations, the decentralization of authority, and possible societal pathways towards sustainability. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The course will cover a range of environmental problem areas, include land conversion, water quality, air quality, climate change, and energy. Across these issues, cases will engage students in confronting particular management decisions needing to be made by individuals and organizations, primarily in the public and non-profit sectors, but also in private sector firms. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | It would be desirable, but not essential, that students had already taken a course on policy analysis and modeling. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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