Search result: Catalogue data in Spring Semester 2018
Geomatic Engineering Master | ||||||
Major Courses | ||||||
Major in Engineering Geodesy and Photogrammetry | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
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103-0738-00L | GNSS Lab | W | 5 credits | 4G | A. Geiger, M. Meindl | |
Abstract | Consolidation of knowledge in satellite geodesy and its application to GNSS. | |||||
Objective | Students know the technological background of GNSS. They are able to interpret and to qualify GNSS results and to carry out error estimations. Autonomous work on GNSS-related problems. | |||||
Content | Autonomous development, planning, and carrying out of a small GNSS-project. As needed further satellite geodetic background will be given ( GNSS-positioning and navigation, satellite orbits, consolidated knowledge of GNSS, observation equations, principles of measurements, disturbances, practical operation) | |||||
Lecture notes | Navigation, Alain Geiger, GGL-ETHZ GNSS, Markus Rothacher, GGL-ETHZ | |||||
103-0838-00L | Geomonitoring and Geosensors | W | 4 credits | 3G | A. Wieser, M. Rothacher | |
Abstract | This course provides an introduction to sensors, measurement techniques and analysis methods for geodetic monitoring of natural structures of local to regional scale like landslides, rock falls, volcanoes and tsunamis. Several case studies will highlight the application of the presented technologies. | |||||
Objective | Understanding the core challenges and proven approaches to monitoring of local and regional deformation; gaining an overview of established measurement and data processing techniques for monitoring geometric changes. | |||||
Content | Introduction to geomonitoring; sensors and measurement technologies: GNSS, TPS, TLS, GB-SAR, geosensor networks, geotechnical monitoring sensors; areal and point-wise deformation monitoring; congruency tests, network deformation analysis, sensitivity, regression and jump detection; estimation of strain tensor, block analysis; case studies. | |||||
Lecture notes | The lecture slides and further literature will be made available on the course webpage. | |||||
Prerequisites / Notice | Students should be familiar with geodetic networks, parameter estimation, GNSS and Engineering Geodesy. Students who have not taken the related courses of the ETH curriculum (or equivalent courses at another university) but want to take this course should contact the lecturers beforehand. | |||||
103-0128-00L | Remote Sensing Lab | W | 3 credits | 2G | E. Baltsavias | |
Abstract | This course focuses mainly on photogrammetric processing and classification of optical and especially multispectral satellite images with practical work and own programming. | |||||
Objective | The aims of this course are: - the main aim is practical photogrammetric processing and classification of optical and especially multispectral satellite images using mostly own programming in MATLAB and commercial software tools. - some theoretical background will be provided, in addition to other ETHZ courses mentioned below (mainly given in Bachelor). - further developing skills in report writing and presentations. | |||||
Content | The lecture builds on the courses Erdbeobachtung (Earth Observation), Photogrammetrie, Photogrammetrie II, Image Interpretation and Bildverarbeitung (Image Processing). The focus is on practical work and use of programs with optical satellite data. The work is composed of two large labs. In the first, the main photogrammetric processing chain from preprocessing to visualisation is treated. In the second, the focus is on various multispectral classification techniques and their comparison. | |||||
Lecture notes | Teaching material will be made available on the dedicated moodle page. | |||||
Prerequisites / Notice | Persons without sufficient knowledge of remote sensing, photogrammetry and image processing, should first contact the lecturer and get permission to attend the course. Students should preferably have a basic knowledge of MATLAB programming or being willing to acquire it through self-study. | |||||
103-0848-00L | Industrial Metrology and Machine Vision | W | 4 credits | 3G | K. Schindler, A. Wieser | |
Abstract | This course introduces contact and non-contact techniques for 3D coordinate, shape and motion determination as used for 3D inspection, dimensional control, reverse engineering, motion capture and similar industrial applications. | |||||
Objective | Understanding the physical basis of photographic sensors and imaging; familiarization with a broader view of image-based 3D geometry estimation beyond the classical photogrammetric approach; understanding the concepts of measurement traceability and uncertainty; acquiring an overview of general 3D image metrology including contact and non-contact techniques (coordinate measurement machines; optical tooling; laser-based high-precision instruments). | |||||
Content | CCD and CMOS technology; structured light and active stereo; shading models, shape from shading and photometric stereo; shape from focus; laser interferometry, laser tracker, laser radar; contact and non-contact coordinate measurement machines; optical tooling; measurement traceability, measurement uncertainty, part tolerances; surface representations; case studies. | |||||
Lecture notes | Lecture slides and further literature will be made available on the course webpage. | |||||
Prerequisites / Notice | Students should be familiar with basic photogrammetry, image processing, and geodetic metrology. Students who have not taken the compulsory courses of the ETH BSc curriculum in Geomatics and planning (or equivalent courses at another university) but want to take this course should contact the lecturers beforehand. | |||||
Major in Space Geodesy and Navigation | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
103-0158-01L | Navigation | W | 5 credits | 4G | A. Geiger | |
Abstract | Introduction to the concepts and basics of navigation related total systems on land, air, and sea. | |||||
Objective | The students gain an overview of modern and today's systems and understand their major principles. The students are able to deepen their knowledge by their own and recognize and understand principles of systems in different applications. | |||||
Content | Statistics in Navigation, Filtering, Basics of state space control systems, Tracksurveying systems, Vehicle nav, Air traffic control systems, Operational Procedures, Galileo, WAAS, MSAS, EGNOS, AIS | |||||
Lecture notes | Geiger, A., Navigation, Lecture notes | |||||
103-0178-00L | Geodetic Earth Monitoring | W | 4 credits | 3G | M. Rothacher, F. Neyer | |
Abstract | The three pillars of geodesy, i.e. the geometry, rotation and gravity field of the Earth contribute to Earth system monitoring and will be considered here. 1) Earth rotation: theory, estimation and interpretation; 2) Gravity field: satellite missions, theory, estimation and interpretation; 3) Geodynamics (geometry): plate tectonics, earthquake cycle, isostasy and uplift rates. | |||||
Objective | Understand the basics of Earth rotation and gravity field theory, with what type of methods they are determined and what they contribute to monitoring the Earth system. Get familiar with the major geodynamic processes within the crust and mantle and how they are being observed and monitored. | |||||
Content | Part 1: Earth rotation - Kinematics of a solid body - Dynamic Eulerian equations of Earth rotation - Kinematic Eulerian equations of Earth rotation - Free rotation of the flattened Earth - Influence of Sun and Moon, Precession, Nutation - Earth as an elastic body - Determination of Earth rotation parameters - Mass distribution and mass transport affecting Earth rotation Part 2: Gravity field - Satellite missions - Gravity field determination from satellite data - Geoid computation from terrestrial data - Combination of satellite and terrestrial gravity fields - Precision of geoid computations - Mass distribution and transport affecting the Earth gravity field Part 3: Geodynamics: - Plate tectonics theory: including ocean bottom floor magnetism Curie temperature, age of the ocean bottom floor - Notions on crust material (oceanic/continental) - Concepts of mantle plumes, mantle convection and mantle flow and evidences supporting them - Earthquake cycle: elastic rebound theory, strain and stress measurements and measurements in the field during inter-, co- and post-seismic periods - Isostasy and strength models - Surface uplift rate applied to continental crust, volcanism, eroded areas. | |||||
Lecture notes | A script and slides will be made available | |||||
Literature | Beutler G., Methods of Celestial Mechanics. II: Application to Planetary System, Geodynamics and Satellite Geodesy, Springer, ISBN 3-540-40750-2, 2005. Hofmann-Wellenhof B. and Moritz H., Physical Geodesy, Springer, ISBN 13-978-3-211-33544-4, 2005/2006. Fowler C.M.R., The Solid Earth: An Introduction to Global Geophysics, Cambridge Univ. Press, ISBN 0-521-38590-3, 2005. | |||||
Prerequisites / Notice | Recommended: Basics of Higher Geodesy Of advantage: Basics of Geodetic Earth Observation | |||||
103-0738-00L | GNSS Lab | W | 5 credits | 4G | A. Geiger, M. Meindl | |
Abstract | Consolidation of knowledge in satellite geodesy and its application to GNSS. | |||||
Objective | Students know the technological background of GNSS. They are able to interpret and to qualify GNSS results and to carry out error estimations. Autonomous work on GNSS-related problems. | |||||
Content | Autonomous development, planning, and carrying out of a small GNSS-project. As needed further satellite geodetic background will be given ( GNSS-positioning and navigation, satellite orbits, consolidated knowledge of GNSS, observation equations, principles of measurements, disturbances, practical operation) | |||||
Lecture notes | Navigation, Alain Geiger, GGL-ETHZ GNSS, Markus Rothacher, GGL-ETHZ | |||||
103-0838-00L | Geomonitoring and Geosensors | W | 4 credits | 3G | A. Wieser, M. Rothacher | |
Abstract | This course provides an introduction to sensors, measurement techniques and analysis methods for geodetic monitoring of natural structures of local to regional scale like landslides, rock falls, volcanoes and tsunamis. Several case studies will highlight the application of the presented technologies. | |||||
Objective | Understanding the core challenges and proven approaches to monitoring of local and regional deformation; gaining an overview of established measurement and data processing techniques for monitoring geometric changes. | |||||
Content | Introduction to geomonitoring; sensors and measurement technologies: GNSS, TPS, TLS, GB-SAR, geosensor networks, geotechnical monitoring sensors; areal and point-wise deformation monitoring; congruency tests, network deformation analysis, sensitivity, regression and jump detection; estimation of strain tensor, block analysis; case studies. | |||||
Lecture notes | The lecture slides and further literature will be made available on the course webpage. | |||||
Prerequisites / Notice | Students should be familiar with geodetic networks, parameter estimation, GNSS and Engineering Geodesy. Students who have not taken the related courses of the ETH curriculum (or equivalent courses at another university) but want to take this course should contact the lecturers beforehand. | |||||
103-0157-00L | Physical Geodesy and Geodynamics | W | 4 credits | 3G | M. Rothacher | |
Abstract | Gravity field of the earth. Equipotential surfaces and geoid determination. Fundamentals in Potential Theory and inversion methods. Measuring techniques and gravity anomalies. | |||||
Objective | Obtain knowledge in Physical Geodesy as a fundamental topic forming the basis for Geomatics and Geodynamics. Acquire skills in calculus covered in Physical Geodesy. | |||||
Content | Gravity field of the earth and its parameterization. Equipotential surfaces, deflections of the vertical and geoid determination. Fundamentals in Potential Theory and inversion methods. Gravimetric measuring techniques and gravity anomalies. | |||||
Prerequisites / Notice | Pre-Requisite: Basics of Higher Geodesy | |||||
Major in GIS and Cartography | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
103-0228-00L | Multimedia Cartography Prerequisite: Successful completion of Cartography III (103-0227-00L). | O | 4 credits | 3G | H.‑R. Bär, R. Sieber | |
Abstract | Focus of this course is on the realization of an atlas project in a small team. During the first part of the course, the necessary organizational, creative and technological basics will be provided. At the end of the course, the interactive atlas projects will be presented by the team members. | |||||
Objective | The goal of this course is to provide the students the theoretical background, knowledge and practical skills necessary to plan, design and create an interactive Web atlas based on modern Web technologies. | |||||
Content | This course will cover the following topics: - Web map design - Project management - Graphical user interfaces in Web atlases - Interactions in map and atlas applications - Web standards - Programming interactive Web applications - Use of software libraries - Cartographic Web services - Code repository - Copyright and the Internet | |||||
Lecture notes | Lecture notes and additional material are available on Moodle. | |||||
Literature | - Cartwright, William; Peterson, Michael P. and Georg Gartner (2007); Multimedia Cartography, Springer, Heidelberg | |||||
Prerequisites / Notice | Prerequisites: Successful completion of Cartography III (103-0227-00L). Previous knowledge in Web programming. The students are expected to - present their work in progress on a regular basis - present their atlas project at the end of the course - keep records of all the work done - document all individual contributions to the project | |||||
103-0247-00L | Mobile GIS and Location-Based Services | O | 5 credits | 4G | P. Kiefer | |
Abstract | The course introduces students to the theoretical and technological background of mobile geographic information systems and location-based services. In lab sessions students acquire competences in mobile GIS design and implementation. | |||||
Objective | Students will - learn about the implications of mobility on GIS - get a detailed overview on research fields related to mobile GIS - get an overview on current mobile GIS and LBS technology, and learn how to assess new technologies in this fast-moving field - achieve an integrated view of Geospatial Web Services and mobile GIS - acquire competences in mobile GIS design and implementation | |||||
Content | - LBS and mobile GIS: architectures, market, applications, and application development - Development for Android - Mobile decision-making, context, personalization, and privacy - Mobile human computer interaction and user interfaces - Mobile behavior interpretation | |||||
Prerequisites / Notice | Elementary programming skills (Java) | |||||
103-0747-00L | Cartography Lab | W | 6 credits | 13A | L. Hurni | |
Abstract | Independent practical work in cartography. | |||||
Objective | Independent practical work in cartography. | |||||
Content | Choice of theme upon individual agreement. | |||||
Lecture notes | Information sheet will be distributed by the supervisors | |||||
Prerequisites / Notice | Cartography I | |||||
Major in Planning | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
103-0448-00L | Spatial and Infrastructural Development Only for MSc Students or special approval by the lecturer. | W | 3 credits | 2G | B. Scholl | |
Abstract | The lecture course addresses and by practical examples demonstrates advanced aspects of integrated spatial and infrastructure development, distinguished for a variety of infrastructures. | |||||
Objective | The lecture continues the lecture “Sustainable Spatial Development I”. The lecture demonstrates aspects of integrated infrastructure and spatial development. The lecture concentrates on the technical infrastructures and their specific technical requirements and their impacts on the spatial development. The main focus is to demonstrate the impacts of a development strategy that is based on the requirements of these sometimes contradicting requirements. The aim is to demonstrate possibilities and chances of integrated development strategies. | |||||
Content | - Basics of infrastructure development - Strategies for integrated infrastructure and spatial development - Capacity and dimensioning - Streets - Public transport - Spatial and railway development - Spatial and airport development - Spatial, energy and communication infrastructure development - Spatial and waters development | |||||
Lecture notes | The documents for the lecture can be found on the homepage of the chair for Spatial Development: Link | |||||
Prerequisites / Notice | Only for masters students, otherwise a special permit of the lecturer is necessary. | |||||
103-0458-00L | Economical Land Use Only for MSc Students or special approval by the lecturer. | W | 3 credits | 2G | R. Nebel | |
Abstract | The lecture demonstrates current trends of land use, arguments for an economical handling of land and instruments as well as procedures to implement economical land use in practice. This is considered on different planning levels, especially on the regional level. The main focus is the introduction of a comprehensive settlement management in the light of current trends of land use. | |||||
Objective | Students learn to understand backgrounds, basic principles, goals and approaches of appropriate and economical use of land as a scarce resource. They are able to summarise in a comprehensible way the core arguments for redevelopment before new development. Furthermore, students can illustrate how to implement economical land use in a differentiated and customised manner. | |||||
Content | - settlement development and land use: facts, trends, causes and consequences - redevelopment before new development: basic principles and strategic goals - overviews of existing land reserves - formal and informal instruments and procedures - comprehensive settlement management: implementation on municipal, regional and national level | |||||
Lecture notes | The documents for the lecture are available on Moodle. | |||||
Prerequisites / Notice | Eligible only for master students, otherwise a special permisson by the lecturer is required. | |||||
103-0318-02L | GIS-Based 3D Landscape Visualization Limited number of participants. Please send an email to the lecturer to make sure that places are still available. | W | 3 credits | 2G | U. Wissen Hayek | |
Abstract | Concepts, methods and techniques for 3D landscape visualization and their application in landscape and environmental planning. Practical application of a workflow for 3D landscape visualization. Reflection of relevant aspects such as the choice of viewpoints, the landscape sections, or the level of detail, and their effects on the perception of the visualized landscape. | |||||
Objective | The main goals of this lab are (1) to know digital techniques for 3D landscape visualization, (2) to know different examples and application areas for GIS-based 3D landscape visualizations, (3) to establish software skills in 3D landscape visualization, and (4) to be able to explain principles of 3D landscape visualization, which are important for landscape and environmental planning situations, and to apply these for the evaluation or the planning of 3D landscape visualizations. | |||||
Content | The lectures provide an introduction to the area of GIS-based 3D landscape visualization and on visualization principles. Examples of 3D landscape visualizations generated and applied in different projects are presented. The theoretical principles for 3D landscape visualization are further deepened in small exercises during the whole course. These exercises are organized in such a way, that a workflow for 3D landscape visualization can be reproduced. Thereby aspects such as the choice of viewpoints, the sections of a landscape, or the level of detail, and their effects on the perception of the visualized landscape are reflected. | |||||
Lecture notes | Handouts of the slides used in the lectures will be made available for download. | |||||
Prerequisites / Notice | The lectures will be given in German. | |||||
103-0338-00L | Project Week in Landscape Development Number of participants limited to 22. Remark: Students who are enrolled in this lecture cannot enroll in the lecture LE 701-1656-01L Introduction into Landscape Development. | W | 5 credits | 9P | S.‑E. Rabe, E. Celio, A. Grêt-Regamey | |
Abstract | In particular, the aspects measuring, understanding and assessing of landscape-relevant land-use, requirements and developments will be taught. Concerning the landscape development, aims will be developed and corresponding actions defined. | |||||
Objective | The students are able to: - recognize and name the structure of a landscape - recognize and undestand the history of land-use - recognize and undestand the context of arrangement of a landscape - assess a landscape in its entirety and in its single-elements - develop a vision of a landscape - prepare and provide substantiated actions | |||||
Content | The course consists of theoretical inputs, independent or assisted preparation, the project-week itself and post processing. Depending on the subject area to be processed (eg. water, landscape aesthetics, natural hazards, nature conservation), different methods are used. This applies to both the methods of investigation of landscape-elements and characteristics as well as the methods for evaluation of landscape-elements and characteristics. Subjects and methods are developed and defined in the preparation to be applied in the project week. Based on the assessments actions will be developed that are adapted to the definde question or problem in the light of a desirable development. | |||||
Lecture notes | - Handouts - Copies of selected literature Download: Link | |||||
Literature | Will be named in the course. | |||||
Prerequisites / Notice | Requirements are an interest in landscape-related issues and commitment to developing proposals for solutions. Prerequisite: Knowledge and skills equivalent the course 103-0357-00 Umweltplanung I Students who are enrolled in this lecture cannot enroll in the lecture 701-1656-01L. | |||||
103-0428-02L | Designing and Presenting Arguments in Spacial Planning Only for MSc Students or special approval by the lecturer. | W | 3 credits | 2G | M. Nollert, M. Heller | |
Abstract | Designing and presenting arguments are two essential components of acting in spatial planning. Spatial design as instrument for investigating and testing of possible solutions and options of action or, in addition, for finding central questions. Arguing, in order to be able to communicate suggested decisions or actions inside the planning process and to win relevant actors over those. | |||||
Objective | Goal of the lecture is to obtain the basic knowledge of designing and presenting argumentations in spatial planning. With reference on a practical case study the basic knowledge of both disciplines is imparted. In particular, the typical characteristics of both and the connections between arguing and designing in spatial planning are worked out. In terms of arguing the students should be enabled to substantiate their decisions with different techniques, in order to compile clearly understandable and convincing argumentations and successfully communicate them. This includes beside an adequate handling of different kinds of information coding (like texts, pictures and numbers), also dealing with uncertainties, which is a typical asset of the argumentation in spatial planning. In terms of spatial design, the understanding of this specific and unconventional instrument is to be provided and to be trained on the basis of different cases. Beside the development of an „intuition/sensibility“ for designing in spatial planning and the ability to handle different scales (from national contexts down to the proofing of the principal possibilities for development on the scale of architectural design), the discernment of decisive criteria for the possible employment and the application of spatial design is also to be trained. | |||||
Lecture notes | The documents for the lecture can be found on the homepage of the chair for Spatial Planning and Development | |||||
Prerequisites / Notice | Spatial Planning Design Spatial Planning Design is used as a tool for exploration and testing. Overall goal is the obtainment of basic knowledge for general recommendations and specific strategies in the case of difficult and unclear tasks. However, it is not intended to create drafts for direct implementation in reality. Even if current problems and questions occuring in the dimension of spatial planning might show some correlation, the spaces themselves, the diversity of urban patterns and interests widely differ. This is particularly the case in highly developed Europe. As soon as conventional solutions and standards fail in the case of difficult and vast questions, modern spatial planning operates by using the method of designing. In contrast to the method of designing on the basis of a given programme, which is common in the fields of urban design and architecture, spatial planning is generally operating with comprehensive and open terms of reference. Thus, in order to achieve safe results, spatial planning uses all imaginable scopes and freedoms of research. Not every case and every problem in spatial planning cause an examination by using the method of designing. In frequent cases difficulties not only arise in identifying the right scale of design but rather in selecting the appropriate informal procedures. Furthermore, scales are not necessarily the same as they are typically used in regional- and urban planning. The verification of the general ability to develop an area in the scale of architecture is possible as well. | |||||
103-0239-00L | Planning Information Systems Number of participants limited to 16. Only for MSc Students or special approval by the lecturer. | W | 3 credits | 2G | H. Elgendy | |
Abstract | Participants in the lecture "planning information systems" shall get the fundamental basics for the development of planning information systems (PIS) in the spatial planning. Through case studies about the application of PIS in different spatial planning situations they shall get an idea about the possibilities of the application of these systems. | |||||
Objective | Students should be able to use "Planning Information Systems" in the planning practice, and to learn how to plan, design and formulate the requirements for such systems. In this course you will get the methodical and technical skills for the planning and implementation of such information systems. | |||||
Content | "Planerische Informationssysteme" ermöglichen die Organisation, Verarbeitung und Kommunikation von Information unterschiedlichster Art (Karten, Entwürfe, Texte, etc.). Sie unterstützen die vielfältigen beteiligten Akteure dabei gemeinsam und ortsunabhängig Lösungen für komplexe planerische Aufgaben zu entwickeln. Die Inhalte der Vorlesung sind an den Anforderungen an "Planerische Informationssystem" aufgrund der Besonderheiten von komplexen Planungsaufgaben, sowie auf die technischen Fertigkeiten zum Aufbau des Tools, ausgerichtet. - Anforderungen und Aufbau "Planerische Informationssysteme" - Design- & Usability-Anforderungen solcher Informationssysteme - Erstellung von Webseiten mit HTML & CSS - Entwicklung dynamischer Webseiten - Skriptsprache JavaScript - Datenbank-Design und -Anbindung - "Planerische Informationssysteme" in der Praxis Neben den Vorlesungsteilen erlernen die Studierenden in der eigenen Anwendung mit praktischen Übungen die Grundzüge der Webtechniken HTML, CSS & JavaScript. Als Teil der Semesterleistung erarbeiten die Studierenden ein eigenes "Planerisches Informationssystem". Die Vorstellung von in der Praxis umgesetzten Beispielen verdeutlichen die vielfältigen Anwendungsbereiche. Der Dozent hat an der Universität Karlsruhe und der ETH Zürich entscheidend an der Entwicklung "Planerischer Informationssysteme" mitgearbeitet und wendet diese seit geraumer Zeit im eigenen Büro im Planungsalltag praktisch an. | |||||
Lecture notes | Link | |||||
Literature | Development and Implementation of Planning Information Systems in collaborative spatial planning processes, H. Elgendy, Karlsruhe 2003 | |||||
Prerequisites / Notice | Every lecture includes a practical exercise on the computer. Maximum 16 participants | |||||
701-1522-00L | Multi-Criteria Decision Analysis | W | 3 credits | 2G | J. Lienert | |
Abstract | This introduction to "Multi-Criteria Decision Analysis" (MCDA) combines prescriptive Decision Theory (MAVT, MAUT) with practical application and computer-based decision support systems. Aspects of descriptive Decision Theory (psychology) are introduced. Participants apply the theory to an environmental decision problem (group work). | |||||
Objective | The main objective is to learn the theory of "Multi-Attribute Value Theory" (MAVT) and "Multi-Attribute Utility Theory" (MAUT) and apply it step-by-step using an environmental decision problem. The participants learn how to structure complex decision problems and break them down into manageable parts. An important aim is to integrate the goals and preferences of different decision makers. The participants will practice how to elicit subjective (personal) preferences from decision makers with structured interviews. They should have an understanding of people's limitations to decision-making, based on insights from descriptive Decision Theory. They will use formal computer-based tools to integrate "objective / scientific" data with "subjective / personal" preferences to find consensus solutions that are acceptable to different decision makers. | |||||
Content | GENERAL DESCRIPTION Multi-Criteria Decision Analysis is an umbrella term for a set of methods to structure, formalize, and analyze complex decision problems involving multiple objectives (aims, criteria), many different alternatives (options, choices), and different actors which may have conflicting preferences. Uncertainty (e.g., of the future or of environmental data) adds to the complexity of environmental decisions. MCDA helps to make decision problems more transparent and guides decision makers into making rational choices. Today, MCDA-methods are being applied in many complex decision situations. This class is designed for participants interested in transdisciplinary approaches that help to better understand real-world decision problems and that contribute to finding sustainable solutions. The course focuses on "Multi-Attribute Value Theory" (MAVT) and "Multi-Attribute Utility Theory" (MAUT). It also gives a short introduction to behavioral Decision Theory, the psychological field of decision-making. STRUCTURE The course consists of a combination of lectures, exercises in the class, exercises in small groups, reading, and one mandatory exam. Some exercises are computer assisted, applying MCDA software. The participants will choose an environmental case study to work on in small groups throughout the semester. Additional reading from the textbook Eisenführ et al. (2010) is required. GRADING There will be one written examination at the end of the course that covers the important theory (50 % of final grade). The group work consists of two to three written reports (50 %). | |||||
Lecture notes | No script (see below) | |||||
Literature | The course is based on: Eisenführ, Franz; Weber, Martin; and Langer, Thomas (2010) Rational Decision Making. 1st edition, 447 p., Springer Verlag, ISBN 978-3-642-02850-2. Additional reading material will be recommended during the course. Lecture slides will be made available for download. | |||||
Prerequisites / Notice | The course requires some understanding of (basic) mathematics. The "formal" parts are not too complicated and we will guide students through the mathematical applications and use of software. | |||||
Electives The entire course programs of ETH Zurich and the University of Zurich are open to the students to individual selection. | ||||||
Electives ETH Zurich | ||||||
» Course Catalogue of ETH Zurich | ||||||
Recommended Electives of Master Degree Programme | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
101-0459-00L | Logistics and Freight Transportation | W | 6 credits | 4G | D. Bruckmann, M. Ruesch, T. Schmid | |
Abstract | Basics and concepts of logistics and freight transport; offers, infrastructure and production processes of different transport systems; regulatory framework | |||||
Objective | Identification and understanding the interconnections between logistic requirements, market, transport offers, operational processes, transport means and regulation in freight transport of all transport systems (road, rail, intermodal, waterborne and air). | |||||
Content | Basics and concepts of logistics, actors in logistics and freight transport, transport demand (1) in-house logistics, storage, transport safety, dangerous goods (2), basics to transport offers, production processes and infrastructure for road, rail, intermodal, waterborne (sea and inland waterways) and air transport, urban logistics (3), transport policy, regulation, spatial planning, location issues and network design with optimization methods (4) | |||||
Lecture notes | Lecture slides in German or English will be provided. | |||||
101-0488-01L | Human Powered Mobility | W | 6 credits | 4G | U. A. Weidmann, E. Bosina, M. Meeder, U. Walter | |
Abstract | Basics of pedestrian transport planning and planning of cycle traffic facilities, Transport-related attributes of the human being, Design of pedestrian and cycle traffic networks, Pedestrian and cycle traffic facilities, Microsimulation of pedestrian flows, Assessment of performance and level of service | |||||
Objective | Acquirement of basic knowledge in the field of pedestrian and cycle traffic planning, Knowledge and understanding of the transport-related attributes of human beings and the consequences for the design and planning of appropriate transport facilities, Ability to assess level of service and performance, Basic knowledge about pedestrian microsimulation as an up-to-date instrument for planning and analysis | |||||
Content | 1) Introduction to human-powered mobility 2) Characteristics of bicycle transport 3) Principles of bicycle networks 4) Exercise: design of a bicycle network 5) design and development of bicycle traffic facilities 6) Bicycle parking 7) Characteristics of pedestrians, walking speed 8) Quality of traffic conditions and capacity of cycling and walking facilities 9) design and development of pedestrian traffic facilities 10) Configuration and design of pedestrian traffic facilities in public transport hubs 11) Obstacle free traffic areas - Demands of people with disabilities 12) Counting pedestrian and bicycle traffic 13) Pedestrian simulations 14) Technologies for pedestrian micro-simulations 15) Exercise: Design of pedestrian facilities 16) Shared Space 17) Promoting pedestrian and bicycle transport 18) Excursions to selected topics in pedestrian and bicycle transport | |||||
Lecture notes | Slides and other course materials will be provided on this course's Moodle page. | |||||
Literature | References for further reading will be provided during the lectures. | |||||
Prerequisites / Notice | During the semester there will be 2 supporting exercises as well as 2 field trips covering pedestrian and bicycle transport. | |||||
101-0478-00L | Measurement and Modelling of Travel Behaviour | W | 6 credits | 4G | K. W. Axhausen | |
Abstract | Comprehensive introduction to survey methods in transport planning and modeling of travel behavior, using advanced discrete choice models. | |||||
Objective | Enabling the student to understand and apply the various measurement approaches and models of modelling travel behaviour. | |||||
Content | Behavioral model and measurement; travel diary, design process, hypothetical markets, discrete choice model, parameter estimation, pattern of travel behaviour, market segments, simulation, advanced discrete choice models | |||||
Lecture notes | Various papers and notes are distributed during the course. | |||||
Prerequisites / Notice | Requirement: Transport I | |||||
103-0798-00L | Geodetic Project Course Does not take place this semester. | W | 5 credits | 9P | M. Rothacher, K. Schindler, A. Wieser | |
Abstract | Field course with practical geodetic projects (3 weeks) | |||||
Objective | Field course with practical geodetic projects (3 weeks) | |||||
Content | Single-handed treatment of current geodetic projects in groups of 3-5 students. Writing of a technical report with description of the project, calculations, results and interpretations. Possibility to continue the work in a semester or diploma thesis. | |||||
Prerequisites / Notice | The course is organized in September summer in different places. It starts two weeks before the autumn semester and lasts three weeks (i.e., including the first week of the autumn semester) . | |||||
102-0617-01L | Methodologies for Image Processing of Remote Sensing Data | W | 3 credits | 2G | I. Hajnsek, O. Frey, M. A. Siddique | |
Abstract | The aim of this course is to get an overview of several methodologies/algorithms for analysis of different sensor specific information products. It is focused at students that like to deepen their knowledge and understanding of remote sensing for environmental applications. | |||||
Objective | The course is divided into two main parts, starting with a brief introduction to remote sensing imaging (4 lectures), and is followed by an introduction to different methodologies (8 lectures) for the quantitative estimation of bio-/geo-physical parameters. The main idea is to deepen the knowledge in remote sensing tools in order to be able to understand the information products, with respect to quality and accuracy. | |||||
Content | Each lecture will be composed of two parts: Theory: During the first hour, we go trough the main concepts needed to understand the specific algorithm. Practice: During the second hour, the student will test/develop the actual algorithm over some real datasets using Matlab. The student will not be asked to write all the code from scratch (especially during the first lectures), but we will provide some script with missing parts or pseudo-code. However, in the later lectures the student is supposed to build up some working libraries. | |||||
Lecture notes | Handouts for each topic will be provided. | |||||
Literature | Suggested readings: T. M. Lillesand, R.W. Kiefer, J.W. Chipman, Remote Sensing and Image Interpretation, John Wiley & Sons Verlag, 2008 J. R. Jensen, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall Series in Geograpic Information Science, 2000 | |||||
103-0427-00L | Regional Economics | W | 4 credits | 2G | B. Buser, C. Abegg | |
Abstract | The lecture on Regional Economics focusses on the theoretical aspects of spatial factor allocation and of growth determinants. The course takes a top down stance and looks at regional development from a macroeconomic perspective. Implications of theoretical models on regional and growth policy will be discussed in and connections to the course Site Management will be made. | |||||
Objective | Students shall know the theoretical basics of spatial economy and growth theories an a regional scale; they shall gain the competence to apply concepts and theories of spatial science as well as regional economics to concrete problems of their area of study. | |||||
Content | Origin of "Spatial Economics" Indices of regional economics and growth analysis Regional growth theories Regional innovation theory (innovation processes, cluster theory and innovation policy) Theory and political implications with examples (New Regional Policy NRP, Regional Innovation Systems RIS) | |||||
Lecture notes | Download two days before lecture: Link Link | |||||
Seminar Work Interdisciplinary Project takes only place in autumn semester (HS). | ||||||
GESS Science in Perspective | ||||||
» Recommended Science in Perspective (Type B) for D-BAUG | ||||||
» see Science in Perspective: Language Courses ETH/UZH | ||||||
» see Science in Perspective: Type A: Enhancement of Reflection Capability | ||||||
Master's Thesis | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
103-0009-00L | Master's Thesis Before starting the Master's thesis, students must have a. obtained the Bachelor's degree; b. fulfilled all specified admission conditions, if any; c. acquired at least 90 credits in the Master's programme, including 12 credits in the area of the interdisciplinary project. | O | 24 credits | 47D | Supervisors | |
Abstract | The Master Programme concludes with the Master Thesis, which has to be done in one of the chosen Majors and has to be completed within 16 weeks. The Master Thesis is supervised by a professor and shall attest the students ability to work independently and to produce scientifically structured work. | |||||
Objective | To work independently and to produce a scientifically structured work. | |||||
Content | The topics of the Mastrer Thesis are published by the professors. The Topic can be set also in consultation between the student and the professor. | |||||
Course Units for Additional Admission Requirements The courses below are only available for MSc students with additional admission requirements. | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
103-0115-AAL | Geodetic Metrology II Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 4R | A. Wieser | |
Abstract | Advanced studies of the topics of the lecture "Basics of Geodetic Metrology". Knowing important aspects of the practical use of geodetic sensors and the work flows of metrology. Know-how of coordinate calculation methods and statistical aspects of Geodesy. | |||||
Objective | Advanced studies of the topics of the lecture "Basics of Geodetic Metrology". Knowing important aspects of the practical use of geodetic sensors and the work flows of metrology. Know-how of coordinate calculation methods and statistical aspects of Geodesy. | |||||
Content | Application and field tests of geodetic sensors: levelling instruments, tacheometers, GPS, laserscanning; geodetic coordinate calculations: traverses and trigonometric leveling; refraction; introduction to inertial surveying; software tools for data acquisition, data evaluation, preparation and visualisation of measurements | |||||
Lecture notes | Slides of the regular lecture will be provided (in German), and further reading will be indicated as necessary. | |||||
Literature | Witte B, Sparla P (2015) Vermessungskunde und Grundlagen der Statistik für das Bauwesen. 8. Aufl., Wichmann Verlag (in German) Uren J, Price WF (2010) Surveying for Engineers. Palgrave Macmillan A list of references for further reading will be provided. | |||||
103-0126-AAL | Geodetic Reference Systems Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 3 credits | 3R | M. Meindl | |
Abstract | Basic knowledge of the theory and the history of origins of the Swiss National Geodetic Survey including new space geodetic techniques. Applications of the new national networks in science and practice. | |||||
Objective | Basic knowledge of the theory and evolution of the Swiss National Geodetic Survey including new space geodetic techniques. Applications of the new national networks in science and practice. | |||||
Content | An important part of the lecture focusses on the history and evolution of the traditional Swiss national geodetic survey in terms of the horizontal as well as the vertical (height)-networks. Furthermore the lecture illuminates the impact of recent space geodetic techniques on the national geodetic survey: Global and local reference systems and their realisations (reference frames), spherical and ellipsoidal calulations, projection systems, datum transformations, classical triangulations, height systems, 3D-networks, basics on physical and astronomical geodesy, geoid determination. New national geodetic survey LV95, new height system LHN95. Modern satellite based networks and on-line services for navigation and positioning. | |||||
Lecture notes | Bürki, Elmiger, Chaperon: Geodätische Referenzsysteme und Netze, Volume 1, edition 2011. Bürki, Elmiger, Chaperon: Geodätische Referenzsysteme und Netze, Volume 2, edition 2011. | |||||
Literature | additional literature is listed in the script | |||||
103-0132-AAL | Geodetic Metrology Fundamentals Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 6 credits | 4R | A. Wieser | |
Abstract | Introduction to the most important sensors, operation and calculation methods of Geodetic Metrology | |||||
Objective | Getting to know the most important sensors, operation and calculation methods of Geodetic Metrology | |||||
Content | Overview on the different domains of geodetic metrology Geodetic instruments and sensors Determination of 3D-coordinates with GNSS, total sttaion and levelling Calculation methods of geodetic metrology Assessment of precision, introduction to variance propagation Survey and staking-out methods | |||||
Lecture notes | The slides of the lecture "Geodätische Messtechnik Grundzüge" (in German) will be provided. | |||||
Literature | Witte B, Sparla P (2015) Vermessungskunde und Grundlagen der Statistik für das Bauwesen. 8. Aufl., Wichmann Verlag (in German) Uren J, Price WF (2010) Surveying for Engineers. Palgrave Macmillan. | |||||
101-0414-AAL | Transport Planning (Transportation I) Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 3 credits | 2R | K. W. Axhausen | |
Abstract | The lecture course discusses the basic concepts, approaches and methods of transport planning in both their theoretical and practical contexts. | |||||
Objective | The course introduces the basic theories and methods of transport planning. | |||||
Content | Basic theoretical links between transport, space and economic development; basic terminology; measurement and observation of travel behaviour; methods of the four stage approach; cost-benefit analysis. | |||||
Literature | Ortuzar, J. de D. and L. Willumsen (2011) Modelling Transport, Wiley, Chichester. | |||||
103-0153-AAL | Cartography II Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 4R | L. Hurni | |
Abstract | Theory and basics in mathematics of the cartographic visualisation of attributed geo-objects (with exercises). | |||||
Objective | Basics, structures and processes in modern geovisualisation and digital cartography. Exercises in 2D and 3D cartography with software from desktop publishing, GIS, and cartography. | |||||
Literature | References and other materials will be distributed by the supervisors. | |||||
103-0184-AAL | Higher Geodesy Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 4R | M. Rothacher | |
Abstract | Modern methods of Higher Geodesy. Basics of Shape of the Earth: Geoid determination and deflection of the vertical. Introduction into the most important topics: Satellite Geodesy and Navigation; Physical Geodesy and gravity field of the Earth; Astronomical Geodesy and Positioning; Mathematical Geodesy and basics of Geodynamics. Reference systems and applications in National and Global Geomatics. | |||||
Objective | Overview over the entire spectrum of Higher Geodesy | |||||
Content | Actual methods of Higher Geodesy. Basics of Shape of the Earth: Geoid determination and deflection of the vertical. Introduction into the most important topics: Satellite Geodesy (GPS) and Navigation; Physical Geodesy and gravity field of the Earth; Astronomical Geodesy and Positioning; Mathematical Geodesy and basics of Geodynamics. Reference systems and applications in National and Global Geomatics. | |||||
Lecture notes | Rothacher, M.: Höhere Geodäsie (deutsch) | |||||
103-0214-AAL | Cartography I Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 4R | L. Hurni | |
Abstract | Basic knowhow about communication with spatial information by using plans and maps, about the most important design rules and production methods for map graphics. | |||||
Objective | Acquire basic knowhow about communication with spatial information by using plans and maps, about the most important design rules and production methods for map graphics. Ability to assess existing products with respect to their content-related and design quality. Ability to design proper plans and well designed legends for basic maps. | |||||
Content | Definitions "map" and "cartography", map types, current tasks and situation of cartography, map history, spatial refernce systems, map projections, map conception and workflow planning, map design, analog and digital map production technology, prepress technology, printing technology, topographic maps, map critics | |||||
Lecture notes | Will be distributed module by module | |||||
Literature | - Grünreich, Dietmar; Hake, Günter und Liqiu Meng (2002): Kartographie, 8. Auflage, Verlag W. de Gruyter, Berlin - Mäder, Charles (2000): Kartographie für Geographen, Geographica Bernensia, Geographisches Institut der Universität Bern, Nr. U22. OUT OF PRINT! - Robinson, Arthur et al. (1995): Elements of Cartography, 6th edition, John Wiley & Sons, New York, ISBN 0-471-55579-7 - Wilhelmy, Herbert (2002): Kartographie in Stichworten, 7. Auflage, Bornträger, ISBN 3-443-03112-9 - Gurtner, Martin (2010): Karten lesen, Handbuch zu den Landeskarten. 3. Aufl., SAC-Verlag, ISBN 978-3-85902-289-8 | |||||
Prerequisites / Notice | Further information at Link | |||||
103-0233-AAL | GIS I Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 3 credits | 2R | M. Raubal | |
Abstract | Fundamentals in geo information technologies: database principles, including modeling of spatial information, geometric and semantic models, topology and metrics; practical training with GIS software. | |||||
Objective | Know the fundamentals in geo information technologies for the realization, application and operation of geographic information systems in engineering projects. | |||||
Content | Modellierung von raumbezogenen Informationen Geometrische und semantische Modelle Topologie und Metrik Raster und Vektormodelle Datenbanken Anwendungsbeispiele Diverse Übungen | |||||
Literature | Worboys, M., & Duckham, M. (2004). GIS - A Computing Perspective (2nd Edition ed.). Boca Raton, FL: CRC Press. Bartelme, N. (2005). Geoinformatik - Modelle, Strukturen, Funktionen (4. Auflage ed.). Berlin, Heidelberg: Springer. | |||||
103-0234-AAL | GIS II Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 4R | M. Raubal | |
Abstract | Advanced geoinformation technologies: geodatabases advanced; system architectures; mobile GIS; user interfaces; fields and interpolation; data quality, uncertainty, metadata; temporal aspects in GIS. | |||||
Objective | Knowing advanced topics of geoinformation technologies for the realization, application and operation of geographic information systems in engineering projects. | |||||
Literature | Worboys, M., & Duckham, M. (2004). GIS - A Computing Perspective (2nd Edition ed.). Boca Raton, FL: CRC Press. | |||||
103-0253-AAL | Geoprocessing and Parameter Estimation Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 4R | A. Geiger | |
Abstract | This course provides basic knowledge on parameter estimation and data processing. The necessary mathematical and statistical methods are developed and are applied to actual examples in geomatics. | |||||
Objective | The students are capable of analysing measurements with appropriate methods. They can optimally extract model parameters from real measurements and are able to analyse and to retrieve additional information from data series. They understand the underlying algorithms of different geodetic analysis tools and processing methods. | |||||
103-0254-AAL | Photogrammetry Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 4R | K. Schindler | |
Abstract | The class conveys the basics of photogrammetry. It shall equip students with basic knowledge of the principles, methods and applications of image-based measurement. | |||||
Objective | Understanding the principles, methods and possible applications of photogrammetry. The course also forms the basis for more in-depth studies and self-reliant photogrammetric project work in further photogrammetry courses. | |||||
Content | Fundamental concepts of photogrammetry, its products and applications: the principle of image-based measurement; digital aerial cameras and related sensors; projective geometry; mathematical modeling, calibration and orientation of cameras; photogrammetric 3D reconstruction and stereoscopy; digital photogrammetric workstations; recording geometry and flight planning | |||||
Lecture notes | Photogrammetry - Basics (slides on the web) Exercise material (on the web) | |||||
Literature | - Kraus, K.: Photogrammetrie, Band 1: Geometrische Informationen aus Photographien und Laserscanneraufnahmen, mit Beiträgen von Peter Waldhäusl, Walter de Gruyter Verlag, Berlin, 7th edition - Kraus, K.: Photogrammetrie, Band 2: Verfeinerte Methoden und Anwendungen, mit Beiträgen von J. Jansa und H. Kager, Walter de Gruyter Verlag, Berlin, 3rd edition - Thomas Luhmann: Nahbereichsphotogrammetrie. Grundlagen, Methoden und Anwendungen, H. Wichmann Verlag, Karlsruhe, 2nd edition 2003 - Richard Hartley and Andrew Zisserman: Multiple View Geometry, Cambridge University Press; 2nd edition 2004 | |||||
Prerequisites / Notice | Requirements: knowledge of physics, linear algebra and analytical geometry, calculus, least-squares adjustment and statistics, basic programming skills. | |||||
103-0255-AAL | Geodata Analysis Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 2 credits | 4R | to be announced | |
Abstract | The course deals with advanced methods in spatial data analysis. | |||||
Objective | - Understanding the theoretical principles in spatial data analysis. - Understanding and using methods for spatial data analysis. - Detecting common sources of errors in spatial data analysis. - Advanced practical knowledge in using appropriate GIS-tools. | |||||
Content | The course deals with advanced methods in spatial data analysis in theory as well as in practical exercises. | |||||
103-0274-AAL | Image Processing Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 3 credits | 2R | J. D. Wegner | |
Abstract | The objective of this lecture is to introduce the basic concepts of image formation and explain the basic methods of signal and image processing. | |||||
Objective | Understanding core methods and algorithms in image processing and computer vision and the underlying signal processing foundations. Applying image processing algorithms to relevant problems in photogrammetry and remote sensing. | |||||
Content | The following topics will be covered in the course: - Properties of digital images - Signal processing/Sampling - Image enhancement - Image restoration: Spatial domain - Image restoration: Fourier domain - Color/Demosaicing - Image compression - Feature extraction - Texture analysis - Image segmentation | |||||
Lecture notes | A script will be provided as PDF files on the lecture website. | |||||
Literature | We suggest the following textbooks for further reading: Rafael C. Gonzalez, Richard E. Woods Digital Image Processing Prentice Hall International, 2008 ISBN: 013168728X Rafael C. Gonzalez, Steven L. Eddins, Richard E. Woods: Digital Image Processing Using MATLAB Prentice Hall, 2003 ISBN: 0130085197 | |||||
Prerequisites / Notice | The lecture is accompanied by programming assignments, that need to be completed in order to pass the course. | |||||
103-0313-AAL | Planning I Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 4R | S.‑E. Rabe | |
Abstract | The lecture introduce into the main-features of spatial planning. Attended will be the themes planning as a national responsibility, instruments of spatial planning, techniques for problem-solutions in spatial planning and the swiss concept for regional planning. | |||||
Objective | - To get to know the interaction between the community and our living space and their resulting conflicts. - Link theory and practice in spatial planning. - To get to know instruments and facilities to process problems in spatial planning. | |||||
103-0325-AAL | Planning II Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 4R | B. Scholl | |
Abstract | The lecture imparts methodological and instrumental fundamentals for spatial planning and will be exemplified by exploring Zurich city quarters. | |||||
Objective | Spatial planning is concerned with the foresighted design of the built and un-built environment. Starting points are spatially relevant problems that need to be explored, clarified and solved. The cornerstone of the course is formed by an independent exploration by the student of Zurich city quarters that involve investigating specific spatially relevant conditions, recognizing regularities and relevant problems. | |||||
Content | The self-study course compromises the following readings: Chapters of - Lynch, Kevin: «The Image of the City» - Alexander, Christopher et al.: «A Pattern Language» - Mikoleit, Anne and Pürckhauer, Moritz: «Urban Code» and SIDAIA - Spatial and Infrastructure Development: an Integrated Approach. The graded semester performance comprises a condensed paper to be written by the student reflecting both the literature read as well as exemplarily applying the knowledge gained from the literature by independently exploring the two city quarters. | |||||
Lecture notes | cf. content | |||||
Literature | cf. content | |||||
103-0435-AAL | Landmanagement Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 4R | S.‑E. Rabe | |
Abstract | Spatial planning on the Commune level with focus on the special land use management. Land re-allocation as an instrument of spatial planning; specific explanations for land re-allocations in rural regions and in construction zones. Land marketing: the view of investors. | |||||
Objective | Getting knowledge in spatial planning and land re-allocation as an interactive process. | |||||
252-0846-AAL | Computer Science II Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 4 credits | 9R | F. Friedrich Wicker | |
Abstract | Together with the introductory course Informatics I this course provides the foundations of programming and databases. This course particularly covers algorithms and data structures and basics about design and implementation of databases. Programming language used in this course is Java. | |||||
Objective | Basing on the knowledge covered by lecture Informatics I, the primary educational objectives of this course are - constructive knowledge of data structures and algorithms amd - the knowledge of relational databases and When successfully attended the course, students have a good command of the mechanisms to construct an object oriented program. They know the typically used control and data structures and understand how an algorithmic problem is mapped to a sufficiently efficient computer program. They have an idea of what happens "behind the secenes" when a program is translated and executed. The know how to write database queries and how to design simple databases. Secondary goals are an algorithmic computational thinking, undestanding the possibilities and limits of programming and to impart the way of thinking of a computer scientist. | |||||
Content | We discuss the paradigm of object oriented programming, typical data structures and algorithms and design principles for the design and usage of relational databases. More generally, formal thinking and the need for abstraction and importance of appropriate modelling capabilities will be motivated. The course emphasizes applied computer science. Concrete topics are complexity of algorithms, divide and conquer-principles, recursion, sort- and search-algorithms, backtracking, data structures (lists, stacks, queues, trees) and data management in relational data bases. | |||||
Lecture notes | The slides will be available for download on the course home page. | |||||
Literature | Robert Sedgewick, Kevin Wayne, Introduction to Programming in Java: An Interdisciplinary Approach, Addison-Wesley, 2008 T. Cormen, C. Leiserson, R. Rivest, C. Stein, Introduction to Algorithms , 3rd ed., MIT Press, 2009 | |||||
Prerequisites / Notice | Prerequisites are knowledge and programming experience according to course 252-0845-00 Computer Science I (D-BAUG). | |||||
406-0023-AAL | Physics Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 7 credits | 15R | S. Johnson | |
Abstract | Basic topics in classical as well as modern physics, interplay between basic research and applications. | |||||
Objective | ||||||
Content | Electrodynamics, Thermodynamics, Quantum physics, Waves and Oscillations, special relativity | |||||
Literature | P.A. Tipler and G. Mosca, Physics for scientists and engineers, W.H. Freeman and Company, New York Hans J. Paus, Physik in Experimenten und Beispielen, Carl Hanser Verlag München Wien (als unterrichtsbegleitendes und ergänzendes Lehrbuch) | |||||
406-0141-AAL | Linear Algebra Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 5 credits | 11R | M. Auer | |
Abstract | Introduction to Linear Algebra and Numerical Analysis for Engineers. The contents of the course are covered in the book "Introduction to Linear Algebra" by Gilbert Strang (SIAM, 2003). MATLAB is used as a tool to formulate and implement numerical algorithms. | |||||
Objective | To acquire basic knowledge of Linear Algebra and of a few fundamental numerical techniques. The course is meant to hone analytic and algorithmic skills. | |||||
Content | 1. Vectors and vector spaces 2. Solving linear systems of equations (Gaussian elimination) 3. Orthogonality 4. Determinants 5. Eigenvalues and eigenvectors 6. Linear transformations 7. Numerical linear algebra in MATLAB 8. (Piecewise) polynomial interpolation 9. Splines | |||||
Literature | G. Strang, "Introduction to linear algebra", Third edition, 2003, ISBN 0-9614088-9-8, Link T. Sauer. "Numerical analysis", Addison-Wesley 2006 | |||||
406-0242-AAL | Analysis II Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 7 credits | 15R | M. Akka Ginosar | |
Abstract | Mathematical tools of an engineer | |||||
Objective | Mathematics as a tool to solve engineering problems, mathematical formulation of problems in science and engineering. Basic mathematical knowledge of an engineer | |||||
Content | Multi variable calculus: gradient, directional derivative, chain rule, Taylor expansion. Multiple integrals: coordinate transformations, path integrals, integrals over surfaces, divergence theorem, applications in physics. | |||||
Literature | - James Stewart: Multivariable Calculus, Thomson Brooks/Cole - William L. Briggs / Lyle Cochran: Calculus: Early Transcendentals: International Edition, Pearson Education (Chapters 10 - 14) | |||||
406-0243-AAL | Analysis I and II Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 14 credits | 30R | M. Akka Ginosar | |
Abstract | Mathematical tools for the engineer | |||||
Objective | Mathematics as a tool to solve engineering problems. Mathematical formulation of technical and scientific problems. Basic mathematical knowledge for engineers. | |||||
Content | Short introduction to mathematical logic. Complex numbers. Calculus for functions of one variable with applications. Simple types of ordinary differential equations. Simple Mathematical models in engineering. Multi variable calculus: gradient, directional derivative, chain rule, Taylor expansion. Multiple integrals: coordinate transformations, path integrals, integrals over surfaces, divergence theorem, applications in physics. | |||||
Literature | Textbooks in English: - J. Stewart: Calculus, Cengage Learning, 2009, ISBN 978-0-538-73365-6 - J. Stewart: Multivariable Calculus, Thomson Brooks/Cole (e.g. Appendix G on complex numbers) - V. I. Smirnov: A course of higher mathematics. Vol. II. Advanced calculus - W. L. Briggs, L. Cochran: Calculus: Early Transcendentals: International Edition, Pearson Education Textbooks in German: - M. Akveld, R. Sperb: Analysis I, vdf - M. Akveld, R. Sperb: Analysis II, vdf - L. Papula: Mathematik für Ingenieure und Naturwissenschaftler, Vieweg Verlag - L. Papula: Mathematik für Ingenieure 2, Vieweg Verlag | |||||
406-0603-AAL | Stochastics (Probability and Statistics) Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 4 credits | 9R | M. Kalisch | |
Abstract | Introduction to basic methods and fundamental concepts of statistics and probability theory for non-mathematicians. The concepts are presented on the basis of some descriptive examples. The course will be based on the book "Statistics for research" by S. Dowdy et.al. and on the book "Introductory Statistics with R" by P. Dalgaard. | |||||
Objective | The objective of this course is to build a solid fundament in probability and statistics. The student should understand some fundamental concepts and be able to apply these concepts to applications in the real world. Furthermore, the student should have a basic knowledge of the statistical programming language "R". The main topics of the course are: - Introduction to probability - Common distributions - Binomialtest - z-Test, t-Test - Regression | |||||
Content | From "Statistics for research": Ch 1: The Role of Statistics Ch 2: Populations, Samples, and Probability Distributions Ch 3: Binomial Distributions Ch 6: Sampling Distribution of Averages Ch 7: Normal Distributions Ch 8: Student's t Distribution Ch 9: Distributions of Two Variables [Regression] From "Introductory Statistics with R": Ch 1: Basics Ch 2: Probability and distributions Ch 3: Descriptive statistics and tables Ch 4: One- and two-sample tests Ch 5: Regression and correlation | |||||
Literature | "Statistics for research" by S. Dowdy et. al. (3rd edition); Print ISBN: 9780471267355; Online ISBN: 9780471477433; DOI: 10.1002/0471477435; From within the ETH, this book is freely available online under: Link "Introductory Statistics with R" by Peter Dalgaard; ISBN 978-0-387-79053-4; DOI: 10.1007/978-0-387-79054-1 From within the ETH, this book is freely available online under: Link |