From 2 November 2020, the autumn semester 2020 will take place online. Exceptions: Courses that can only be carried out with on-site presence. Please note the information provided by the lecturers via e-mail.

Ulrich Alois Weidmann: Catalogue data in Spring Semester 2020

Name Prof. Dr. Ulrich Alois Weidmann
VP Infrastruktur
ETH Zürich, OCT F 11.1
Binzmühlestrasse 130
8092 Zürich
Telephone+41 44 632 05 91
DepartmentCivil, Environmental and Geomatic Engineering
RelationshipFull Professor

101-0419-01LRailway Infrastructures 12 credits2GU. A. Weidmann
AbstractIntroduction in rail infrastructures, interoperability and technical standards, network development, infrastructure planning, design of rail infrastructures, planning and design of railway stations, introduction to rail technology, innovation of the rail system, beginning commissioning of rail infrastructures, strategies for cost optimization, operational aspects of maintenance.
ObjectiveTeaches the basic principles of railway infrastructures, of network and infrastructure design, of the railway technology and aspects of infrastructure operation. Fundamentals for railway infrastructures 2.
Content(1) Fundamentals: Infrastructures of public transport systems; interaction between track and vehicles; passengers and goods as infrastructure users; management and financing of networks; railway standards and normes. (2) Infrastructure planning: Planning processes and decision levels; planning processes of governmental bodies and railway companies; layout of a line. (3) Infrastructure design: Topologies of passenger stations; rail freight facilities; workshops. (4) Design of passenger stations: Planning and design of the passenger parts of stations. (5) Rail technology: Track, power supply, safety systems, telecommunication systems. (6) Innovation: Fundamentals of innovation in rail systems; technological perspectives. (7) Commission of rail infrastructure: Definitions; processes; test methods; responsibilities. (8) Maintenance: Fundamentals of infrastructure maintenance; kinds of depreviations; supervision methods; steps of infrastructure maintenance; maintenance need; methods to minimize maintenance costs; operational aspects.
Lecture notesTextbook in German under preparation. Slides are made available.
LiteratureReferences to technical literature will be included in the textbook.
Prerequisites / NoticeNo remarks.
364-1058-00LRisk Center Seminar Series0 credits2SA. Bommier, D. Basin, D. N. Bresch, L.‑E. Cederman, P. Cheridito, H. Gersbach, G. Sansavini, F. Schweitzer, D. Sornette, B. Stojadinovic, B. Sudret, U. A. Weidmann, S. Wiemer, M. Zeilinger, R. Zenklusen
AbstractThis course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling and governing complex socio-economic systems, and managing risks and crises. Students and other guests are welcome.
ObjectiveParticipants should learn to get an overview of the state of the art in the field, to present it in a well understandable way to an interdisciplinary scientific audience, to develop novel mathematical models and approaches for open problems, to analyze them with computers or other means, and to defend their results in response to critical questions. In essence, participants should improve their scientific skills and learn to work scientifically on an internationally competitive level.
ContentThis course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. For details of the program see the webpage of the seminar. Students and other guests are welcome.
Lecture notesThere is no script, but the sessions will be recorded and be made available. Transparencies of the presentations may be put on the course webpage.
LiteratureLiterature will be provided by the speakers in their respective presentations.
Prerequisites / NoticeParticipants should have relatively good scientific, in particular mathematical skills and some experience of how scientific work is performed.