Suchergebnis: Katalogdaten im Herbstsemester 2021
Raumentwicklung und Infrastruktursysteme Master  | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
 Auflagen-LerneinheitenDas untenstehende Lehrangebot gilt nur für MSc Studierende mit Zulassungsauflagen. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 101-0031-AAL | Systems Engineering Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle andere Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 4 KP | 9R | B. T. Adey | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | • Systems Engineering is a way of thinking that helps engineer sustainable systems, i.e. ones that meet the needs of stakeholders in the short, medium and long terms. • This course provides an overview of the main principles of Systems Engineering, and includes an introduction to the use of operations research methods in the determination of optimal systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The world’s growing population, changing demographics, and changing climate pose formidable challenges to humanity’s ability to live sustainably. Ensuring that humanity can live sustainably requires accommodating Earth’s growing and changing population through the provision and operation of a sustainable and resilient built environment. This requires ensuring excellent decision-making as to how the built environment is constructed and modified. The objective of this course is to ensure the best possible decision making when engineering sustainable systems, i.e. ones that meet the needs of stakeholders in the short, medium and long term. In this course, you will learn the main principles of Systems Engineering that can help you from the first idea that a system may not meet expectations, to the quantitative and qualitative evaluation of possible system modifications. Additionally, the course includes an introduction to the use of operations research methods in the determination of optimal solutions in complex systems. More specifically upon completion of the course, you will have gained insight into: • how to structure the large amount of information that is often associated with attempting to modify complex systems • how to set goals and define constraints in the engineering of complex systems • how to generate possible solutions to complex problems in ways that limit exceedingly narrow thinking • how to compare multiple possible solutions over time with differences in the temporal distribution of costs and benefits and uncertainty as to what might happen in the future • how to assess values of benefits to stakeholders that are not in monetary units • how to assess whether it is worth obtaining more information in determining optimal solution • how to take a step back from the numbers and qualitatively evaluate the possible solutions in light of the bigger picture • the basics of operations research and how it can be used to determine optimal solutions to complex problems, including linear, integer and network programming, dealing with multiple objectives and conducting sensitivity analyses. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The weekly content is structured as follows: 1 Introduction – An introduction to System Engineering, a way of thinking that helps to engineer sustainable systems, i.e. ones that meet the needs of stakeholders in the short, medium and long terms. A high-level overview of the main principles of System Engineering. An introduction to the example that we will be working with through most of the course. The expectations of your efforts throughout the semester. 2 Situation analysis – How to structure the large amount of information that is often associated with attempting to modify complex systems. 3 Goals and constraints – How to set goals and constraints to identify the best solutions as clearly as possible. 4 Generation of possible solutions – How to generate possible solutions to problems, considering multiple stakeholders. 5 Analysis – 1/5 – The principles of net-benefit maximization and a series of methods that range from qualitative and approximate to quantitative and exact, including pairwise comparison, elimination, display, weighting, and expected value. 6 Analysis – 2/5 – The idea behind the supply and demand curves and revealed preference methods. 7 Analysis – 3/5 – The concept of equivalence, including the time value of money, interest, life times and terminal values. 8 Analysis – 4/5 – The relationship between net-benefit and the benefit-cost ratio. How incremental cost benefit analysis can be used to determine the maximum net benefit. Marginal rates of return and internal rates of return. 9 Analysis – 5/5 – How to consider multiple possible futures and use simple rules to help pick optimal solutions and to determine the value of more information. 10 Evaluation of solutions – Regardless how sophisticated an analysis is, it requires that decision makers stand back and critically evaluate the results. This week we discuss the aspects of evaluating the results of an analysis. 11 Operations research – 1/4 – Once quantitative analysis is used it becomes possible to use operations research methods to analyse large numbers of possible solutions. This week we discuss linear programming and the simplex method. 12 Operations research – 2/4 – How sensitivity analysis is conducted using linear programming. 13 Operations research – 3/4 – How to use operations research to solve problems that consist of discrete values, as well as how to exploit the structure of networks to find optimal solutions to network problems. 14 Operations research – 4/4 – How to set up and solve problems when there are multiple objectives. The course uses a combination of qualitative and quantitative approaches. The quantitative analyses requires the use of Excel. An introduction to Excel will be provided in one of the help sessions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | The script for the original course is in German. The English material that can be used for the virtual course is: 1 ) Adey, B.T., Hackl, J., Lam, J.C., van Gelder, P., van Erp, N., Prak, P., Heitzler, M., Iosifescu, I., Hurni, L., (2016), Ensuring acceptable levels of infrastructure related risks due to natural hazards with emphasis on stress tests, International Symposium on Infrastructure Asset Management (SIAM), Kyoto, Japan, January 21-22. 2) Blanchard, B.S., and Fabrycky W.J., (2008), Systems Engineering and Analysis, 5th International Edition, Prentice Hall. 3) Revelle, C.S., Whitlach, E.E., and Wright, J.R., (2003), Civil and Environmental Systems Engineering, 2nd Edition, Prentice Hall. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | The literature will be made available at the beginning of the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 101-0414-AAL | Transport Planning (Transportation I) Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle andere Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 3 KP | 6R | K. W. Axhausen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Die Vorlesung stellt die wesentlichen Konzepte der Verkehrsplanung vor und erläutert in Theorie und Praxis deren wesentliche Ansätze und Verfahren. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Die Vorlesung gibt den Studenten die grundlegenden Werkzeuge und Theorien an die Hand. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Grundlegende Zusammenhänge zwischen Verkehr, Raum und Wirtschaftsentwicklung; Grundbegriffe; Messung und Beobachtung des Verkehrsverhaltens; die Methoden des Vier-Stufen-Ansatzes; Kosten-Nutzen-Analyse. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Ortuzar, J. de D. and L. Willumsen (2011) Modelling Transport, Wiley, Chichester. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 101-0515-AAL | Project Management Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle andere Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 2 KP | 4R | B. T. Adey | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | General introduction to the development, the life cycle and the characteristics of projects. Introduction to, and experience with, the methods and tools to help with the preparation, evaluation, organisation, planning, controlling and completion of projects. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | To introduce the methods and tools of project management. To impart knowledge in the areas of project organisation and structure, project planning, resource management, project controlling and on team leadership and team work. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | - From strategic planning to implementation (Project phases, goals, constraints, and feasibility) - Project leadership (Leadership, Teams) - Project organization (Structure) - Project planning (Schedule, cost and resource planning) - Project controlling - Risk and Quality Management - Project completion | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 102-0516-AAL | Environmental Impact Assessment Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle andere Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 3 KP | 6R | S.‑E. Rabe | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Focus of the course are the method, the process and content of the Environmental Impact Assessment (EIA) as well as the legal bases and methods for compiling an environmental impact study (EIS). Excursions provide a comprehensive view of the EIA. Using exemplary projects, the process of an EIA will be worked out by the students. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | - Understanding the context of spatial planning and environmental protection - Ability to use central planning instruments and procedures for assessing the environmental impacts and risks of projects - Ability to apply quantitative methods to assess the environmental impacts and risks of projects - Knowledge about the process and content of an EIA - a capacity for critical review of environmental impact assessments | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | - Nominal and functional environmental protection in Switzerland - Instruments of environmental protection - Need for coordination between environmental protection and spatial planning - Environmental Protection and environmental impact assessment - Legal basis of the EIA - Procedure of EIA - Content of the EIA - Application of the impact analysis - Monitoring and Controlling - View regarding the strategic environmental assessment (SEA) - Excursions to projects obligated under the EIA | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | No script. The documents for the lecture can be found for download on the homepage of the Chair of Planning of Landscape and Urban Systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Supplementary literature is available for download on the homepage of the Chair of Planning of Landscape and Urban Systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 103-0116-AAL | Ecology and Soil Science Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle anderen Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 3 KP | 6R | S. Tobias | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The main focus of the lecture are the basics of ecology and soil science. Students learn about the interdependence of organisms and environment, resource cycles, ecosystems as well as soil characteristics and genesis. The impact of human behavior on ecosystems and the problems of different land use are covered by the lecture, too. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | -getting insights into the basics of ecology -ability to assess the consequences of spatial planning on ecosystems -understanding of ecological processes and interdependency -understanding of function and potential of soil | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Basics of Ecology -definition of ecology, types, habitat, ecosystem, environment -human influence on ecosystem -context of landscape and ecology -ecological context for practical application (e.g. in spatial planning) Basics of Soil Science -basic concept and definition of soil, soiltype and essential parameters -soil water balance (irrigation, drainage) -soil compaction and erosion -reclamation and renaturation -material pollution of soil and remediation approaches - soil and spatial planning | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes and slides (in German) can be downloaded from the PLUS homepage. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Lecture notes and slides (in German) can be downloaded from the PLUS homepage. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 103-0313-AAL | Spatial Planning and Landscape Development Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle andere Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 5 KP | 11R | S.‑E. Rabe | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The lecture introduces into the main-features of spatial planning. Attended will be the subjects of planning as a national responsibility, instruments of spatial planning, techniques for problem solving in spatial planning and the Swiss concept for regional planning. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | - 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 103-0357-AAL | Environmental Planning Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle anderen Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 3 KP | 6R | S.‑E. Rabe | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The lecture covers tools, methods and procedures of Landscape and Environmental Planning developed. By means of field trips their implementation will be illustrated. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Knowledge of the various instruments and possibilities for the practical implementation of environmental planning. Knowledge of the complex interactions of the instruments. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Topics of the Lectures - forest planning - inventories - intervention and compensation - ecological network - agricultural policy - landscape development concepts (LEK) - parks - swiss landscape concept - riverine zone - natural hazards Note: there are several non-obligatory field trips as part of the lecture. It is recommended to participate at these to boost the in-depth understanding of the different topics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | - lecture notes concerning the instruments - handouts - copies of selected literature Download: http://www.plus.ethz.ch/de/studium/vorlesungen/bsc/environmental_planning.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 103-0414-AAL | Transport Basics Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle anderen Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 4 KP | 9R | K. W. Axhausen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | -Introduction to the fundamentals of transportation -Developing an understanding of the interactions between land use and transportation -Introduction to the dynamics of transport systems: daily patterns and historical developments | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | -Accessibility -Equilibrium in transport networks -Fundamental transport models -Traffic flow and control -Vehicle dynamics on rail and road -Transport modes and supply patterns -Time tables | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 252-0846-AAL | Computer Science II Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle andere Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 4 KP | 9R | F. Friedrich Wicker, R. Sasse | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Einführung in die Programmierung. Prozedurale Grundkonzepte und Ausblick in die objektorientierte Programmierung. Variablen, Typen, Zuweisungen, Kontrollstrukturen (Verzweigung, Schleife), Datenstrukturen, Algorithmen, Liniengrafik, Benutzeroberflächen. Kleine Programme erstellen. Umgang mit professioneller Programmierumgebung (Eclipse). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Die Studierenden sollen in der Lage sein, einfache Programme selbständig zu programmieren bzw. sich in bestehenden Programmen zurecht zu finden und diese sinnvoll zu erweitern. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | In der Vorlesung werden Themen behandelt wie Variablen, Zuweisung, Kontrollstrukturen (Verzweigung, Schleife), Algorithmen, Datenstrukturen, sowie ein erster Einblick in die Modularisierung in grösseren Programmen und die objektorientierten Techniken. Im praktischen Teil werden grundlegende Programmierfertigkeiten geübt anhand der Programmiersprache JAVA. Die Übungen können entweder auf dem eigenen PC oder in den betreuten Übungsstunden in den Computerräumen der ETH bearbeitet werden. Die verwendete Software läuft unter MS Windows, MacOS X und Linux. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Voraussetzung: 252-0845-00 Informatik I (D-BAUG) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 406-0242-AAL | Analysis II Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle anderen Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 7 KP | 15R | M. Akveld | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Mathematical tools of an engineer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Mathematics as a tool to solve engineering problems, mathematical formulation of problems in science and engineering. Basic mathematical knowledge of an engineers. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Multi variable calculus: gradient, directional derivative, chain rule, Taylor expansion, Lagrange multipliers. Multiple integrals: coordinate transformations, path integrals, integrals over surfaces, divergence theorem, applications in physics. Ordinary differential equations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Textbooks in English: - J. Stewart: Multivariable Calculus, Thomson Brooks/Cole - V. I. Smirnov: A course of higher mathematics. Vol. II. Advanced calculus - W. L. Briggs, L. Cochran: Calculus: Early Transcendentals: International Edition, Pearson Education - M. Akveld, R. Sperb, Analysis II, vdf - L. Papula: Mathematik für Ingenieure 2, Vieweg Verlag | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 406-0251-AAL | Mathematics I Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle anderen Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 6 KP | 13R | F. Da Lio | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course covers mathematical concepts and techniques necessary to model, solve and discuss scientific problems - notably through ordinary differential equations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Mathematics is of ever increasing importance to the Natural Sciences and Engineering. The key is the so-called mathematical modelling cycle, i.e. the translation of problems from outside of mathematics into mathematics, the study of the mathematical problems (often with the help of high level mathematical software packages) and the interpretation of the results in the original environment. The goal of Mathematics I and II is to provide the mathematical foundations relevant for this paradigm. Differential equations are by far the most important tool for modelling and are therefore a main focus of both of these courses. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | 1. Linear Algebra and Complex Numbers: systems of linear equations, Gauss-Jordan elimination, matrices, determinants, eigenvalues and eigenvectors, cartesian and polar forms for complex numbers, complex powers, complex roots, fundamental theorem of algebra. 2. Single-Variable Calculus: review of differentiation, linearisation, Taylor polynomials, maxima and minima, antiderivative, fundamental theorem of calculus, integration methods, improper integrals. 3. Ordinary Differential Equations: separable ordinary differential equations (ODEs), integration by substitution, 1st and 2nd order linear ODEs, homogeneous systems of linear ODEs with constant coefficients, introduction to 2-dimensional dynamical systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | - Bretscher, O.: Linear Algebra with Applications (Pearson Prentice Hall). - Thomas, G. B.: Thomas' Calculus, Part 1 - Early Transcendentals (Pearson Addison-Wesley). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Prerequisites: familiarity with the basic notions from Calculus, in particular those of function and derivative. Assistance: Tuesdays and Wednesdays 17-19h, in Room HG E 41. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 406-0603-AAL | Stochastics (Probability and Statistics) Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle anderen Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 4 KP | 9R | M. Kalisch | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | 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. Learning the statistical program R for applying the acquired concepts will be a central theme. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | 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". | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | From "Statistics for research" (online) 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 From "Introductory Statistics with R (online)" Ch 1: Basics Ch 2: The R Environment Ch 3: Probability and distributions Ch 4: Descriptive statistics and tables Ch 5: One- and two-sample tests Ch 6: Regression and correlation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | - "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/ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 103-2233-AAL | GIS Basics Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle andere Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 6 KP | 13R | W. Kuhn | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Fundamentals in geoinformation technologies: database principles, including modeling of spatial information, geometric and semantic models, topology and metrics; practical training with GIS software. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Know the fundamentals in geoinformation technologies for the realization, application and operation of geographic information systems in engineering projects. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Modelling of spatial information Geometric and semantic models Topology & metrics Raster and vector models Databases Applications Labs with GIS software | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Worboys, M., & Duckham, M. (2004). GIS - A Computing Perspective (2nd ed.). Boca Raton, FL: CRC Press. O'Sullivan, D., & Unwin, D. (2010). Geographic Information Analysis (second ed.). Hoboken, New Jersey: Wiley. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 252-0856-AAL | Computer Science Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle andere Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 4 KP | 9R | F. Friedrich Wicker, R. Sasse | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Die Vorlesung bietet eine Einführung in das Programmieren mit einem Fokus auf systematischem algorithmischem Problemlösen. Lehrsprache ist C++. Es wird keine Programmiererfahrung vorausgesetzt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Primäres Lernziel der Vorlesung ist die Befähigung zum Programmieren mit C++. Studenten beherrschen nach erfolgreichem Abschluss der Vorlesung die Mechanismen zum Erstellen eines Programms, sie kennen die fundamentalen Kontrollstrukturen, Datenstrukturen und verstehen, wie man ein algorithmisches Problem in ein Programm abbildet. Sie haben eine Vorstellung davon, was "hinter den Kulissen" passiert, wenn ein Programm übersetzt und ausgeführt wird. Sekundäre Lernziele der Vorlesung sind das Computer-basierte, algorithmische Denken, Verständnis der Möglichkeiten und der Grenzen der Programmierung und die Vermittlung der Denkart eines Computerwissenschaftlers. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Wir behandeln fundamentale Datentypen, Ausdrücke und Anweisungen, (Grenzen der) Computerarithmetik, Kontrollanweisungen, Funktionen, Felder, zusammengesetze Strukturen und Zeiger. Im Teil zur Objektorientierung werden Klassen, Vererbung und Polymorhpie behandelt, es werden exemplarisch einfache dynamische Datentypen eingeführt. Die Konzepte der Vorlesung werden jeweils durch Algorithmen und Anwendungen motiviert und illustriert. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Ein Skript in englischer Sprache wird semesterbegleitend herausgegeben. Das Skript und die Folien werden auf der Vorlesungshomepage zum Herunterladen bereitgestellt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Bjarne Stroustrup: Einführung in die Programmierung mit C++, Pearson Studium, 2010 Stephen Prata: C++ Primer Plus, Sixth Edition, Addison Wesley, 2012 Andrew Koenig and Barbara E. Moo: Accelerated C++, Addison-Wesley, 2000. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 103-0717-AAL | Geoinformation Technologies and Analysis Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle andere Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 6 KP | 13R | W. Kuhn | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Advanced geoinformation technologies and analyses methods: Mobile GIS; Web-GIS & Geo-Web-Services; Spatial Big Data; Temporal aspects in GIS; Analysis of movement data; User interfaces | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Knowing advanced topics of geoinformation technologies (Mobile GIS and Web-GIS) and spatio-temporal analysis methods for the realization, application and operation of Web-GIS in engineering projects. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Introductory GIS course | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 103-0234-AAL | GIS II Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle andere Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | E- | 5 KP | 11R | W. Kuhn | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Advanced course in geoinformation technologies: conceptual and logical modelling of networks, 3D- and 4D-data and spatial processes in GIS; raster data structures and operations; mobile GIS; Internet and GIS; interoperability and data transfer; legal and technical foundations of spatial data infrastructures (SDI) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will be able to carry out the following phases of a GIS project: data modelling, mobile data acquisition and analysis, Web publication of data and integration of interoperable geospatial web services into a Spatial Data Infrastructure (SDI). Students will deepen their knowledge of conceptual and logical modeling by means of the particular requirements of networks as well as 3D- and 4D-data. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Worboys, M., & Duckham, M. (2004). GIS - A Computing Perspective (2nd Edition). Boca Raton, FL: CRC Press. Fu, P., Sun, J. (2010). Web GIS: Principles and Applications. Esri Press. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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