Search result: Catalogue data in Autumn Semester 2016
Geomatic Engineering and Planning Bachelor | ||||||
5. Semester | ||||||
Elective Blocks | ||||||
Elective Block: GIS, Photogrammetry and Cartography | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
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103-0245-01L | Thematic Cartography | W | 2 credits | 2G | L. Hurni | |
Abstract | Thematic map types (focus on quantitative information), analysis of themes and application, base maps, generalisation | |||||
Objective | Knowing of most important thematic map types. Ability to design adequate thematic maps from statistical data. | |||||
Content | Thematic map types (focus on quantitative information) Analysis of themes and application using adequate structural types Use of adequates base maps Generalisation of thematic maps Dynamic thematic maps | |||||
Lecture notes | Will be distributed. | |||||
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! - Wilhelmy, Herbert (2002): Kartographie in Stichworten, 7. Auflage, Bornträger, ISBN 3-443-03112-9 - Terry A. Slocum, Terry et al. (2004): Thematic Cartography and Geographic Visualization. 2nd ed. Prentice Hall, ISBN 0130351237 | |||||
Prerequisites / Notice | Prerequisite: Cartography Introduction Further information at Link | |||||
102-0675-00L | Earth Observation | W | 4 credits | 3G | I. Hajnsek, E. Baltsavias | |
Abstract | The aim of the course is to provide the fundamental knowledge about earth observation sensors, techniques and methods for bio/geophysical environmental parameter estimation. | |||||
Objective | The aim of the course is to provide the fundamental knowledge about earth observation sensors, techniques and methods for bio/geophysical environmental parameter estimation. Students should know at the end of the course: 1. Basics of measurement principle 2. Fundamentals of image acquisition 3. Basics of the sensor-specific geometries 4. Sensor-specific determination of environmental parameters | |||||
Content | Die Lehrveranstaltung gibt einen Einblick in die heutige Erdbeoachtung mit dem follgenden skizzierten Inhalt: 1. Einführung in die Fernerkundung von Luft- und Weltraum gestützen Systemen 2. Einführung in das Elektromagnetische Spektrum 3. Einführung in optische Systeme (optisch und hyperspektral) 4. Einführung in Mikrowellen-Technik (aktiv und passiv) 5. Einführung in atmosphärische Systeme (meteo und chemisch) 6. Einführung in die Techniken und Methoden zur Bestimmung von Umweltparametern 7. Einführung in die Anwendungen zur Bestimmung von Umweltparametern in der Hydrologie, Glaziologie, Forst und Landwirtschaft, Geologie und Topographie | |||||
Lecture notes | Folien zu jeden Vorlesungsblock werden zur Verfügung gestellt. | |||||
Literature | Ausgewählte Literatur wird am Anfang der Vorlesung vorgestellt. | |||||
Elective Block: Geosdesy and Geodetic Metrology | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
103-0125-00L | Geodetic Networks and Parameter Estimation | W | 3 credits | 3G | S. Guillaume | |
Abstract | This course provides knowledge for parameter estimation and data analysis in geodetic networks. The necessary mathematical and statistical methods are explained and applied by means of concrete examples. | |||||
Objective | The students are able to plan, pre-analyse and perform analysis of geodetic networks for practical problems. They are able to understand and develop geodetic software. | |||||
Content | Refreshment of statistical and probabilistic basics (simulations with random number generators, correlated random noise, empirical density and distribution functions, hypothesis tests), 2D +1 and 3D terrestrial and satellite based observation equations, coordinate transformation (Helmert, affine), geodetic datum problem (free networks, stochastic datum, constrained datum), quality indicators of geodetic networks (global and local accuracy resp. reliability), robust estimators (M-estimators, L-estimators, LMS-estimator), network optimization (manual, semi-automatic), deformation measurements (congruence test, S-transformations) | |||||
Prerequisites / Notice | Linear algebra, statistic and probability, geoprocessing and parameter estimation, geodetic metrology | |||||
103-0135-00L | Global Navigation Satellite Systems | W | 3 credits | 3G | M. Rothacher | |
Abstract | GPS, GLONASS, Galileo, COMPASS, QZSS as GNSS. System components, signal structure, reference and time systems and observation equations. Forming of differences and linear combinations. Satellite orbits and clocks, tropospheric and ionospheric refraction, antenna phase centers, multipath and measurement noise. Observation techniques and ambiguity resolution. Reference station networks and services. | |||||
Objective | Acquisition of the theoretical and practical basics of the different GNSS. Understanding of the most important error sources and observation techniques for applications in surveying, positioning, navigation, GIS, in geomonitoring and in the Earth and Environmental Sciences. | |||||
Content | Overview of the different GNSS (GPS, GLONASS, Galileo, Compass and QZSS) with the corresponding system components, signal structures, reference and time systems and observation equations for pseudorange and phase measurements. Forming of differences and linear combinations of the original observations. Error sources: satellite orbits and clocks, tropospheric and ionospheric refraction, antenna phase centers, relativistic effects, multipath and measurement noise. Processing strategies and observation techniques as well as methods for ambiguity resolution. Reference station networks and services. Many examples of applications. Practical and computational exercises for the recording and analysis of GNSS measurements. | |||||
Lecture notes | Skript M. Rothacher, U. Hugentobler (2012): "Global Navigation Satellite Systems (GNSS)" in deutsch | |||||
Elective Block: Spatial Development and Environmental Planning | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
103-0315-03L | Planning III | W | 3 credits | 2G | A. Grêt-Regamey, U. Wissen Hayek | |
Abstract | Independent development of a basis for decision-making and preparation of specific project documents in the context of practical spatial and environmental problems. | |||||
Objective | The students know different GIS-based techniques and methods for analysis of landscape and urban areas as well as GIS-based process models and can implement these for quantifying urban qualities in planning processes. | |||||
Content | Current topics from planning practice lead to a practical task in the context of sustainable urban development. A systematic approach of choosing suitable planning and analysis methods is shown and implemented on a concrete project. The results of the GIS-based analysis serve for developing possible solutions. Different alternatives are evaluated with selected indicators and discussed. | |||||
Lecture notes | No script. Handouts will be provided. | |||||
Prerequisites / Notice | GIS-skills would be advantageous. | |||||
Elective Block: Transport | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
401-0647-00L | Introduction to Mathematical Optimization | W | 5 credits | 2V + 1U | D. Adjiashvili | |
Abstract | Introduction to basic techniques and problems in mathematical optimization, and their applications to problems in engineering. | |||||
Objective | The goal of the course is to obtain a good understanding of some of the most fundamental mathematical optimization techniques used to solve linear programs and basic combinatorial optimization problems. The students will also practice applying the learned models to problems in engineering. | |||||
Content | Topics covered in this course include: - Linear programming (simplex method, duality theory, shadow prices, ...). - Basic combinatorial optimization problems (spanning trees, network flows, knapsack problem, ...). - Modelling with mathematical optimization: applications of mathematical programming in engineering. | |||||
Literature | Information about relevant literature will be given in the lecture. | |||||
Prerequisites / Notice | This course is meant for students who did not already attend the course "Mathematical Optimization", which is a more advance lecture covering similar topics and more. | |||||
363-0503-00L | Principles of Microeconomics | W | 3 credits | 2G | M. Filippini | |
Abstract | The course introduces basic principles, problems and approaches of microeconomics. | |||||
Objective | The learning objectives of the course are: (1) Students must be able to discuss basic principles, problems and approaches in microeconomics. (2) Students can analyse and explain simple economic principles in a market using supply and demand graphs. (3) Students can contrast different market structures and describe firm and consumer behaviour. (4) Students can identify market failures such as externalities related to market activities and illustrate how these affect the economy as a whole. (5) Students can apply simple mathematical treatment of some basic concepts and can solve utility maximization and cost minimization problems. | |||||
Lecture notes | Lecture notes, exercises and reference material can be downloaded from Moodle. | |||||
Literature | N. Gregory Mankiw and Mark P. Taylor (2014), "Economics", 3rd edition, South-Western Cengage Learning. The book can also be used for the course 'Principles of Macroeconomics' (Sturm) For students taking only the course 'Principles of Microeconomics' there is a shorter version of the same book: N. Gregory Mankiw and Mark P. Taylor (2014), "Microeconomics", 3rd edition, South-Western Cengage Learning. Complementary: 1. R. Pindyck and D. Rubinfeld (2012), "Microeconomics", 8th edition, Pearson Education. 2. Varian, H.R. (2014), "Intermediate Microeconomics", 9th edition, Norton & Company | |||||
GESS Science in Perspective | ||||||
» Recommended GESS Science in Perspective (Type B) for D-BAUG. | ||||||
» see GESS Science in Perspective: Type A: Enhancement of Reflection Capability | ||||||
» see GESS Science in Perspective: Language Courses ETH/UZH | ||||||
Electives The entire course programs of ETH Zurich and the University of Zurich are open to the students to individual selection. | ||||||
Recommended Electives of Bachelor Degree Programme | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
252-1425-00L | Geometry: Combinatorics and Algorithms | W+ | 6 credits | 2V + 2U + 1A | B. Gärtner, E. Welzl, M. Hoffmann, A. Pilz | |
Abstract | Geometric structures are useful in many areas, and there is a need to understand their structural properties, and to work with them algorithmically. The lecture addresses theoretical foundations concerning geometric structures. Central objects of interest are triangulations. We study combinatorial (Does a certain object exist?) and algorithmic questions (Can we find a certain object efficiently?) | |||||
Objective | The goal is to make students familiar with fundamental concepts, techniques and results in combinatorial and computational geometry, so as to enable them to model, analyze, and solve theoretical and practical problems in the area and in various application domains. In particular, we want to prepare students for conducting independent research, for instance, within the scope of a thesis project. | |||||
Content | Planar and geometric graphs, embeddings and their representation (Whitney's Theorem, canonical orderings, DCEL), polygon triangulations and the art gallery theorem, convexity in R^d, planar convex hull algorithms (Jarvis Wrap, Graham Scan, Chan's Algorithm), point set triangulations, Delaunay triangulations (Lawson flips, lifting map, randomized incremental construction), Voronoi diagrams, the Crossing Lemma and incidence bounds, line arrangements (duality, Zone Theorem, ham-sandwich cuts), 3-SUM hardness, counting planar triangulations. | |||||
Lecture notes | yes | |||||
Literature | Mark de Berg, Marc van Kreveld, Mark Overmars, Otfried Cheong, Computational Geometry: Algorithms and Applications, Springer, 3rd ed., 2008. Satyan Devadoss, Joseph O'Rourke, Discrete and Computational Geometry, Princeton University Press, 2011. Stefan Felsner, Geometric Graphs and Arrangements: Some Chapters from Combinatorial Geometry, Teubner, 2004. Jiri Matousek, Lectures on Discrete Geometry, Springer, 2002. Takao Nishizeki, Md. Saidur Rahman, Planar Graph Drawing, World Scientific, 2004. | |||||
Prerequisites / Notice | Prerequisites: The course assumes basic knowledge of discrete mathematics and algorithms, as supplied in the first semesters of Bachelor Studies at ETH. Outlook: In the following spring semester there is a seminar "Geometry: Combinatorics and Algorithms" that builds on this course. There are ample possibilities for Semester-, Bachelor- and Master Thesis projects in the area. | |||||
103-0240-00L | Cartography Seminar | W | 4 credits | 9S | L. Hurni | |
Abstract | Independent scholarly piece based on up-to-date papers, text books, and internet sources. The thematic topic will be defined together with the supervision in the beginning. | |||||
Objective | Analysis and evaluation of text and other sources; structuring and writing a concise and reader-friendly seminar Report. | |||||
Content | German | |||||
Lecture notes | An information sheet will be distributed in the beginning by the supervisor. | |||||
Literature | Text references and internet sources will be distributed in the beginning by the supervisor. | |||||
Prerequisites / Notice | Cartography I | |||||
103-0241-00L | Cartography Lab 1 | W | 6 credits | 13S | L. Hurni | |
Abstract | Independent practical work in cartography | |||||
Objective | Independent practical work in cartography | |||||
Content | Choice of theme upon individual agreement | |||||
Prerequisites / Notice | German or English | |||||
103-0242-00L | Cartography Lab 2 | W | 8 credits | 17S | L. Hurni | |
Abstract | Independent practical work in cartography | |||||
Objective | Independent practical work in cartography | |||||
Content | Choice of theme upon individual agreement | |||||
Prerequisites / Notice | German or English | |||||
Electives ETH Zurich | ||||||
» Course Catalogue of ETH Zurich | ||||||
Bachelor's Thesis | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
103-0006-00L | Bachelor's Thesis | O | 10 credits | 20D | Lecturers | |
Abstract | The Bachelor Programme concludes with the Bachelor Thesis. This project is supervised by a professor. Writing up the Bachelor Thesis encourages students to show independence and to produce structured work. | |||||
Objective | Encourages students to show independence, to produce scientifically structured work and to apply engineering working methods. | |||||
Content | The contents base upon the fundamentals of the Bachelor Programme. Students can choose from different subjects and tasks. The thesis consists of both a written report and an oral presentation. |
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