# Search result: Catalogue data in Spring Semester 2018

Geomatic Engineering Master | ||||||

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 | |
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103-0254-AAL | PhotogrammetryEnrolment 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 AnalysisEnrolment 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 ProcessingEnrolment 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 IAny 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 IIAny 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 | LandmanagementAny 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 Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | E- | 4 credits | 9R | F. O. Friedrich | |

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 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 AlgebraAny 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, http://math.mit.edu/linearalgebra/ T. Sauer. "Numerical analysis", Addison-Wesley 2006 | |||||

406-0242-AAL | Analysis II 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 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)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: http://onlinelibrary.wiley.com/book/10.1002/0471477435 "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: http://www.springerlink.com/content/m17578/ |

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