Search result: Catalogue data in Spring Semester 2016

Science, Technology, and Policy Master Information
851-0585-38LData Science in Techno-Socio-Economic Systems Restricted registration - show details
Number of participants limited to 70.

This course is thought be for students in the 5th semester or above with quantitative skills and interests in modeling and computer simulations.

Particularly suitable for students of D-INFK, D-ITET, D-MAVT, D-MTEC, D-PHYS
W3 credits2VE. Pournaras, D. Helbing, I. Moise
AbstractThis course introduces how techno-socio-economic systems in our nowadays digital society can be better understood with techniques and tools of data science. Students shall learn the fundamentals of data science, machine learning, but also advanced distributed real-time data analytics in the Planetary Nervous System. Students shall deliver and present a seminar thesis at the end of the course.
ObjectiveThe goal of this course is to qualify students with knowledge on data science as a way to understand complex techno-socio-economic systems in our nowadays digital societies. This course aims to make students capable of applying the most appropriate and effective techniques of data science under different application scenarios. The course aims to engage students in exciting state-of-the-art scientific and collaboration platforms such as the Planetary Nervous System. The course shall increase the awareness level of students about the challenges and open issues of data science in socio-technical domains such as privacy. Finally students have the opportunity to develop their writing, presentation and collaboration skills based on a seminar thesis they have to deliver and present at the end of the course
102-0488-00LWater Resources ManagementW3 credits2GD. Anghileri
AbstractModern engineering approach to problems of sustainable water resources, planning and management of water allocation requires the understanding of modelling techniques that allow to account for comprehensive water uses (thereby including ecological needs) and stakeholders needs, long-term analysis and optimization. The course presents the most relevant approaches to address these problems.
ObjectiveThe course provides the essential knowledge and tools of water resources planning and management. Core of the course are the concepts of data analysis, simulation, optimization and reliability assessment in relation to water projects and sustainable water resources management.
ContentThe course is organized in four parts.
Part 1 is a general introduction to the purposes and aims of sustainable water resources management, problem understanding and tools identification.
Part 2 recalls Time Series Analysis and Linear Stochastic Models. An introduction to Nonlinear Time Series Analysis and related techniques will then be made in order to broaden the vision of how determinism and stochasticity might sign hydrological and geophysical variables.
Part 3 deals with the optimal allocation of water resources and introduces to several tools traditionally used in WRM, such as linear and dynamic programming. Special attention will be devoted to optimization (deterministic and stochastic) and compared to simulation techniques as design methods for allocation of water resources in complex and competitive systems, with focus on sustainability and stakeholders needs.
Part 4 will introduce to basic indexes used in economical and reliability analyses, and will focus on multicriteria analysis methods as a tool to assess the reliability of water systems in relation to design alternatives.
Lecture notesA copy of the lecture handouts will be available on the webpage of the course. Complementary documentation in the form of scientific and technical articles, as well as excerpts from books will be also made available.
LiteratureA number of book chapters and paper articles will be listed and suggested to read. They will also be part of discussion during the oral examination.
Prerequisites / NoticeSuggested relevant courses: Hydrologie I (or a similar content course) and Wasserhaushalt (Teil "Wasserwirtschaft", 4. Sem. UmweltIng., or a similar content course) for those students not belonging to Environmental Engineering.
118-0112-00LParticipatory and Integrated Water Resources Planning Restricted registration - show details
Number of participants limited to 25.

The course is complementary to "Water Resources Management" (102-0488-00L).
W3 credits3VA. Castelletti
AbstractThe course develops basic knowledge and skills for modelling, planning and managing water resources systems in a balanced and sustainable way. The emphasis will be on the operational aspects of water management, including: introduction to participatory decision-making, modelling of the multiple stakes and socio-economic processes, introduction to dynamic and stochastic optimization approaches.
ObjectiveThe course aims at illustrating the complex framework of participatory approach in the field of water resources projects, with particular focus on the modelling of the quantitative aspects of the combined dynamics of the physical and socio-economic processes.
ContentLec 00. Course introduction. The world water resources. Water crisis and the concept of Participatory and Integrated Water Resources Management (PIWRM). Water trading.

Lec 01. Rationalizing the decision-making process. From traditional water resources planning and management to PIWRM: rationalizing and supporting the decision-making process. The need for negotiations. Negotiation game.
Outline of the Participatory and Integrated Planning procedure proposed as a guidance to the decision-making process using a real world case study.

Lec 02. Cloosing the loop: how to plan the management. How to incorporate recurrent management decisions into a rational decision-making framework. From model based decision-making to decision support systems. Full-rationality and partial-rationality. Underlying example the Zambezi river system.

Lec 03. Actions and evaluation criteria. Identification of the actions suitable to pursue the overall objective of the planning exercise. Type of actions and associated property. Embedding actions into models. Stakeholders, sectors and evaluation criteria: how stakeholders evaluate the planning alternatives. Criterion hierarchy and indicators: operationalize evaluation criteria.

Lec 04. Criteria and indicators. Example of indicators. Validation of the indicators against the stakeholders. Numerical exercise. Underlying examples from Red River System (Vietnam), Tono dam (Japan), Googong reservoir (Australia), Lake Maggiore and Lake Como (Italy).

Lec 05. Re-operating the Kafue reservoir system. Real world case study developed interactively with the students, to experience all the concepts provided in the previous lectures. Reading material will be assigned on 22.3

Lec 06. Models of a water system. The system analysis perspective on water resources modelling. Example of models of water system components (reservoir, diversion dam, rivers, users). Implications of cooperation and information sharing on the model formulation. Operational implications of model complexity. Case studies.

Lec 07. Formulation of the planning/management problem. Why we need it. What do we need to formulate the problem: from the indicators to the objectives; time horizon; scenarios. Dealing with uncertainty. Problem formulation and classification. How do modelling choices affect the final solution (hidden subjectivity).

Lec 08. Water resources optimal planning. The planning of water resources. Examples from real world problems at different scales (e.g. Egypt Water plan; Controlling salt intrusion in Nauru (Pacific Island); planning water quality remediation interventions in lakes and reservoirs (Googong reservoir, Australia)). Interactive lectures with students. Overview of the different approaches available to resolve the problem, from exact solution to heuristic.

Lec 09. Planning the New Valley water system in Egypt. Real world case study developed interactively with the student, to experience all the concepts provided in the previous lectures.

Lec 10. Planning in non stationary conditions: the Red River (Vietnam). Real world case study developed interactively with the student, to experience all the concepts provided in the previous lectures.
Lecture notesCourse lectures are almost fully covered by the following two textbooks accordingly to the indications provided at the end of each lecture:

R. Soncini-Sessa, A. Castelletti, and E. Weber, 2007. Integrated and participatory water resources management. Theory. Elsevier, The Netherlands.

R. Soncini-Sessa, F. Cellina, F. Pianosi, and E. Weber, 2007. Integrated and participatory water resources management. Practice. Elsevier, The Netherlands.
LiteratureAdditional readings:
S.P. Simonovic, 2009. Managing water resources: Methods and tools for a systems approach, Earthscan, London.
D.P. Loucks, E. van Beek, 2005. Water Resources Systems Planning and Management: An Introduction to Methods, Models and Applications, UNESCO, Paris.
K.D.W. Nandalal, J. Bogardi, 2007. Dynamic Programming Based Operation of Reservoirs, Cambridge University Press, Cambridge.
Prerequisites / NoticeLecture notes, slides and other material will be posted on the course web page the day before each lecture.
351-0778-00LDiscovering Management
Entry level course in management for BSc, MSc and PHD students at all levels not belonging to D-MTEC.
This course can be complemented with Discovering Management (Excercises) 351-0778-01L.
W3 credits3GF. Hacklin, M. Ambühl, S. Brusoni, E. Fleisch, P. Frauenfelder, G. Grote, V. Hoffmann, P. Schönsleben, D. Sornette, J.‑E. Sturm, G. von Krogh, F. von Wangenheim
AbstractDiscovering Management offers an introduction to the field of business management and entrepreneurship for engineers and natural scientists. The module provides an overview of the principles of management, teaches knowledge about management that is highly complementary to the students' technical knowledge, and provides a basis for advancing the knowledge of the various subjects offered at D-MTEC.
ObjectiveDiscovering Management offers an integrated learning system, which combines in an innovate format a set of lectures, an advanced business game simulation and a set of group exercises involving industry speakers (ranging from leading venture capitalists to executives at established corporations). Unlike more traditional courses, the learning model for Discovering Management involves 'learning by doing'. While the 13 different lectures, in-class discussions and assigned readings provide the theoretical and conceptual foundations, the experiential learning outcomes result from the interrelated group activities: 1) the interactive case studies and exercises, 2) the business game simulation.
By discovering the key aspects of entrepreneurial management, the purpose of the course is to advance students' understanding of factors driving company success, where success is understood as a broad construct including financial return, employee, customer and supplier satisfaction as well as social and ecological responsibility.
Discovering Management is designed to suit the needs and expectations of Bachelor students at all levels as well as Master and PhD students not belonging to D-MTEC. By providing an overview of Entrepreneurial Management, this course is an ideal enrichment of the standard curriculum at ETH Zurich. No prior knowledge of business or economics is required to successfully complete this course.
ContentThe lectures for Discovering Management are designed to broaden the participant's understanding of the principles of entrepreneurial management, emphasizing the interdependence of various specialties in the development and management of a firm. For this reason, the lectures are structured on the basis of a coherent business model and will be presented by the respective area specialists at D-MTEC.
The lectures broaden the view and the understanding of technology by interlinking it with society. Corporate sustainability, for example, introduces economic, ecological and social issues that are relevant to all engineering disciplines. Practical examples stimulate the students to assess these issues and be aware of their responsibilities as engineers. Technology and innovation management, to mention a second example, focuses on the interplay of technical and organizational change, and how these often neglected interactions explain why many new technologies are never used. It fosters the students' ability to see the business and social consequences of their 'technical' decisions.
Critical skills will be trained by the case study exercise, a participant-centered learning activity, which provides students with the opportunity to place themselves in the role of the decision maker, as they learn more about the specific case and identify the challenge they are faced with. Students will be presented real case scenarios by industry guests from established corporations and will have to critically analyze specific issues. The case study exercise will provide an insight into the context of a managerial problem-solving and enhance the participant's appreciation for the complex tasks companies deal with.
Discovering Management attempts to overcome the limitations of traditional teaching curricula of management in technical universities, which often merely focus on transferring specific skills to students, e.g. planning or forecasting. In response to the new challenges for entrepreneurial decision-making, students will be offered the opportunity to actively engage in an advanced business game simulation; a business game that establishes a link between business management theory and business management in practice. The simulation presents a realistic model of a company and provides participants with the opportunity to quickly gain the lasting effects of practical experience in a risk-free environment. All this provides a valuable learning platform to integrate the increasingly important development of the skills and competences required to identify entrepreneurial opportunities, analyze the future business environment and successfully respond to it by taking systematic decisions, e.g. critical assessment of technological possibilities.
Prerequisites / NoticeDiscovering Management is designed to suit the needs and expectations of Bachelor students at all levels as well as Master and PhD students not belonging to D-MTEC. By providing an overview of Business Management, this course is an ideal enrichment of the standard curriculum at ETH Zurich.
No prior knowledge of business or economics is required to successfully complete this course.
351-0778-01LDiscovering Management (Exercises)
Complementary exercises for the module Discovering Managment.

Prerequisite: Participation and successful completion of the module Discovering Management (351-0778-00L) is mandatory.
W1 credit1UP. Frauenfelder
AbstractThis course is offered complementary to the basis course 351-0778-00L, "Discovering Management". The course offers additional exercises and case studies.
ObjectiveThis course is offered to complement the course 351-0778-00L. The course offers additional exercises and case studies.
ContentThe course offers additional exercises and case studies concerning:
Strategic Management; Technology and Innovation Management; Operations and Supply Chain Management; Finance and Accounting; Marketing and Sales.

Please refer to the course website for further information on the content, credit conditions and schedule of the module:
151-0222-00LSwiss Energy Policy in an International ContextW3 credits2VR. S. Abhari, M. Ambühl
AbstractWe take an interdisciplinary approach at analysing important challenges of Swiss energy policy. In an introductory section, we scrutinise the fundamentals of both energy technology and energy policy. In a second section, we focus on Swiss energy policy and its interlinkages with Swiss foreign policy. Finally, we take a look at possible scenarios for the Swiss and global energy future.
ObjectiveStudents will learn about the complex interplay between energy technologies and energy policy and develop an in-depth understanding of Swiss energy policy.

Specific learnings:
- Learn how to analyse resource challenges (exemplified by the challenges of the energy supply system) both from a policy and a technology angle.
- Understand the fundamental processes of energy technology.
- Understand the fundamental challenges of energy policy.
- Develop an understanding of the specific energy policy challenges that Switzerland currently faces - taking into account international developments in energy supply.
- Learn the basics of negotiation engineering.
- Learn about the interlinkages between energy policies and long-term development.
- Develop basic skills in scenario-based strategic thinking.
1. Primary and secondary energy
2. Conversion technologies
3. Energy in industrial development
4. Energy policy in Switzerland
5. Cross-border exchange of energy CH-EU
6. Impact of global and EU energy scenarios on Swiss policy
7. Energy policy as part of Swiss Foreign Policy
8. Renewable electricity / economics and security of supply
9. Alternative fuels: technological issues, security of supply and policy
10. Smart grid and energy efficiency and its role on policy
11. External impacts: negotiation issues
12. Possible scenarios for long term energy needs of Switzerland and the policy implications
13. Impact of level of Swiss future European integration on energy policy
14. Global perspective of energy scenarios and its impact on development.
Lecture notesLecture slides
LiteratureSuggested literature will be provided during the course.
Prerequisites / NoticeETH Master students with some background in thermodynamics
101-0588-01LRe-/Source the Built EnvironmentW3 credits2SG. Habert
AbstractAfter a presentation of the general environmental context and sustainability issues, this course will present the environmental impact of the different building materials and the technical possibilities to improve them.
ObjectiveAfter the lecture series, the students are aware of the main challenges for the production and use of building materials.
ContentThe lecture series is divided as follows:
Lectures 1 to 3: In a first phase, the students study the LCA methodology and the software assiciated.

In a second phase 4 to10: the student learn the environmental impacts of different building materials and implement these calculations in a virtual building.

Finally, they work on the imporvement potentials of this building.
Lecture notesFor each lecture slides will be provided.
LiteratureBasic knowledge of environmental assessment tools is a prerequisite for this class.

Students that have not done classwork in this topic before are required to read an appropriate textbook before or at the beginning of this course (e.g. Baumann&Tillman, The Hitch Hiker's Guide to LCA: An Orientation in Life Cycle ssessment Methodology and Applications, Studentlitteratur, Lund, 2004).
Prerequisites / NoticeThe lecture series will be conducted in English and is aimed at students of master's programs, particularly the departments ARCH, BAUG, ITET, MAVT, MTEC and USYS.
No lecture will be given during Seminar week.

However, a particular interest in physical and chemical properties of building materials is recommended.
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