Search result: Catalogue data in Autumn Semester 2021

Geospatial Engineering Bachelor Information
Compulsory Courses
Examination Block 1
401-0243-00LAnalysis III Restricted registration - show details O3 credits2V + 1UM. Akka Ginosar
AbstractWe will model and solve scientific problems with partial differential equations. Differential equations which are important in applications will be classified and solved. Elliptic, parabolic and hyperbolic differential equations will be treated. The following mathematical tools will be introduced: Laplace and Fourier transforms, Fourier series, separation of variables, methods of characteristics.
ObjectiveLearning to model scientific problems using partial differential equations and developing a good command of the mathematical methods that can be applied to them. Knowing the formulation of important problems in science and engineering with a view toward civil engineering (when possible). Understanding the properties of the different types of partial differential equations arising in science and in engineering.
ContentClassification of partial differential equations

Study of the Heat equation general diffusion/parabolic problems using the following tools through Separation of variables as an introduction to Fourier Series.

Systematic treatment of the complex and real Fourier Series

Study of the wave equation and general hyperbolic problems using Fourier Series, D'Alembert solution and the method of characteristics.

Laplace transform and it's uses to differential equations

Study of the Laplace equation and general elliptic problems using similar tools and generalizations of Fourier series.

Application of Laplace transform for beam theory will be discussed.

Time permitting, we will introduce the Fourier transform.
Lecture notesLecture notes will be provided
Literaturelarge part of the material follow certain chapters of the following first two books quite closely.

S.J. Farlow: Partial Differential Equations for Scientists and Engineers, (Dover Books on Mathematics), 1993

E. Kreyszig: Advanced Engineering Mathematics, John Wiley & Sons, 10. Auflage, 2001

The course material is taken from the following sources:

Stanley J. Farlow - Partial Differential Equations for Scientists and Engineers

G. Felder: Partielle Differenzialgleichungen.

Y. Pinchover and J. Rubinstein: An Introduction to Partial Differential Equations, Cambridge University Press, 2005

C.R. Wylie and L. Barrett: Advanced Engineering Mathematics, McGraw-Hill, 6th ed, 1995
Prerequisites / NoticeAnalysis I and II, insbesondere, gewöhnliche Differentialgleichungen.
103-0233-10LFundamentals of GISO6 credits5GW. Kuhn
AbstractFundamentals of geographic information systems: spatial data modeling; metrics & topology; vector, raster and network data; thematic data; spatial statistics; system architectures; data quality; spatial queries and analysis; geovisualisation; spatial databases; group project with GIS software
ObjectiveKnowing theoretical aspects of geographic information regarding data acquisition, representation, analysis and visualisation.
Knowing the fundamentals of geoinformation technologies for the realization, application and operation of geographic information systems in engineering projects.
Content- Einführung GIS & GIScience
- Konzeptionelles Modell & Datenschema
- Vektorgeometrie & Topologie
- Rastergeometrie und -algebra
- Netzwerke
- Thematische Daten
- Räumliche Statistik
- Systemarchitekturen & Interoperabilität
- Datenqualität, Unsicherheiten & Metadaten
- Räumliche Abfragen und Analysen
- Präsentation raumbezogener Daten
- Geodatenbanken
Lecture notesVorlesungspräsentationen werden digital zur Verfügung gestellt.
LiteratureBill, R. (2016). Grundlagen der Geo-Informationssysteme (6. Auflage): Wichmann.
Bartelme, N. (2005). Geoinformatik - Modelle, Strukturen, Funktionen (4. Auflage). Berlin: Springer.
103-0187-02LSatellite GeodesyO4 credits3GM. Rothacher
Objective-Sicherheit im Umgang mit Koordinaten-, Referenz- und Zeitsystemen.
-Beherrschen der Ephemeridenrechnung für ungestörte Satellitenbahnen.
-Grundlegendes Verständnis der geodätischen Weltraumverfahren und deren Stärken und Schwächen.
-Kenntnis der wichtigsten Prozesse, die für Änderungen in den drei Pfeilern der Space Geodesy (der Geometrie, der Rotation und dem Schwerefeld der Erde) verantwortlich sind.
-Erkennen der Anwendungsmöglichkeiten der Space Geodesy für interdisziplinäre Aufgaben (System Erde).
Content-Koordinatensysteme, Transformationen
-Referenz- und Zeitsysteme
-Grundlagen Satellitenbahnen
-Weltraumverfahren: GNSS, VLBI, SLR, DORIS, Altimetrie
-Kombination der Weltraumverfahren
-Drei Pfeiler der "Space Geodesy":
1. Geometrie der Erde und zeitliche Veränderungen - Erdrotation der 2. Erde und zeitliche Veränderungen - Schwerefeld der Erde und 3. zeitliche Veränderungen
-Global Geodetic Observing System (GGOS): Anwendungen im System Erde
102-0675-00LEarth ObservationO4 credits3GI. Hajnsek, E. Baltsavias
AbstractThe aim of the course is to provide the fundamental knowledge about earth observation sensors, techniques and methods for bio/geophysical environmental parameter estimation.
ObjectiveThe 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
ContentDie 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 notesFolien zu jeden Vorlesungsblock werden zur Verfügung gestellt.
LiteratureAusgewählte Literatur wird am Anfang der Vorlesung vorgestellt.
351-1158-00LPrinciples of EconomicsO3 credits2GU. Renold, T. Bolli, P. McDonald, M. E. Oswald-Egg, F. Pusterla
AbstractThis course introduces basic economic concepts and theories. Beginning with microeconomics, the course starts with the topics of supply and demand, markets, and behavioral economics before moving on to the key macroeconomic concepts of national accounts, the labor market, trade, and monetary policy.
ObjectiveAfter successful completion of the course you will be able to:

-Describe the basic micro- and macroeconomic problems and theories.
-Introduce economic reasoning appropriately to a given topic.
-Evaluate economic measures.
ContentHouseholds, firms, supply and demand: How are household preferences and consumption patterns formed? How does a household react to price changes? How are goods prices formed? At what prices are companies willing to offer goods? How do we make economic decisions?

Markets: What is "perfect competition" and how does a competitive market work? Are monopolies always a bad thing? How can the state influence the market?

Market failure: What happens when prices give wrong signals?

Labour market: How do supply and demand work in the labour market? What influences unemployment?

National accounts: How big is the Swiss economy?

Foreign trade: Why do countries trade with each other? What are the consequences for the domestic market?

Money and inflation: What exactly is money? How does money creation work and what happens when there is too much (or too little) money on the market?

Students will be asked to apply these concepts to issues in their own field of study and to current issues in society. This goal will be achieved through participation in exercises, class discussions and reading material from current media. By the end of the course, students should be able to apply economic analysis confidently and independently.
Lecture notesno script available
LiteratureMankiw, N.G.: "Principles of Economics", 8th edition, South-Western College/West, Mason 2018.
Prerequisites / NoticeSie brauchen keine Vorkenntnisse, um dem Kurs zu folgen.
Subject-specific CompetenciesConcepts and Theoriesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Personal CompetenciesCritical Thinkingassessed
Self-direction and Self-management assessed
851-0703-00LIntroduction to Law
Students who have attended or will attend the lecture "Introduction to Law for Civil Engineering and Architecture " (851-0703-03L) or " Introduction to Law" (851-0708-00L), cannot register for this course unit.

Particularly suitable for students of D-ARCH, D-MAVT, D-MATL
O2 credits2VO.  Streiff Gnöpff
AbstractThis class introduces students into basic features of the legal system. Fundamental issues of constitutional law, administrative law, private law and the law of the EU are covered.
ObjectiveStudents are able to identify basic structures of the legal system. They unterstand selected topics of public and private law and are able to apply the fundamentals in more advanced law classes.
ContentBasic concepts of law, sources of law.
Private law: Contract law (particularly contract for work and services), tort law, property law.
Public law: Human rights, administrative law, procurement law, procedural law.
Insights into the law of the EU and into criminal law.
Lecture notesJaap Hage, Bram Akkermans (Eds.), Introduction to Law, Cham 2017 (Online Resource ETH Library)
LiteratureFurther documents will be available online (see Link).
Examination block 2
402-0043-00LPhysics IO4 credits3V + 1UJ. Home
AbstractIntroduction to the concepts and tools in physics with the help of demonstration experiments: mechanics of point-like and ridged bodies, periodic motion and mechanical waves.
ObjectiveThe concepts and tools in physics, as well as the methods of an experimental science are taught. The student should learn to identify, communicate and solve physical problems in his/her own field of science.
ContentMechanics (motion, Newton's laws, work and energy, conservation of momentum, rotation, gravitation, fluids)
Periodic Motion and Waves (periodic motion, mechanical waves, acoustics).
Lecture notesThe lecture follows the book "Physics" by Paul A. Tipler.
LiteraturePaul A. Tipler and Gene P. Mosca, Physics (for Scientists and Engineers), W. H. Freeman and Company
103-0253-01LParameter EstimationO4 credits3GE. Brockmann
Objective-Beherrschung der Grundlagen der Parameterschätzung
-Erlangung von Kalkülsicherheit
-Erkennung von Problemen, die mit Parameterschätzungsmethoden gelöst werden können
-Im Stande sein, reale Problemstellungen auf die Parameterschätzungsmodelle abzubilden
-Befähigt sein, mit Messunsicherheiten umzugehen und Resultate in Bezug auf ihre Qualität / Unsicherheiten zu beurteilen
-Interdisziplinäre Anwendungsmöglichkeiten der Parameterschätzung erkennen
Content-Unsicherheit / Messunsicherheit
-Vermittelnde Ausgleichung
-Allgemeine Ausgleichung
-Zusatzbedingungen und a priori Information
Examination Block 3
363-1004-00LOperations ResearchO3 credits2GS. Bütikofer van Oordt
AbstractThis course provides an introduction to operations research methods in the fields of management science and economics. Requisite mathematical concepts are introduced with a practical, problem-solving perspective.
Objective- Introduction to building and using quantitative models in a business / industrial environment
- Introduction to basic optimization techniques (Linear Programming and extensions, network flows, integer programming, dynamic and stochastic optimization)
- Understanding the integration of quantitative models into the managerial decision process
ContentThe economic environment of today's companies is characterized by high cost pressure, declining margins, intensified international competition, rising customer requirements and increasingly strict regulations. Strategic and operational decisions at all management levels are becoming more and more complex due to the increasing amount of data, interrelationships, conditions and target criteria to be considered. Often it is no longer possible to solve operational tasks with experience and common sense alone and to adequately estimate the consequences of decisions without software support.

Quantitative models and methods of operations research and operations management offer decision support for complex problems. Mathematical optimization models are used to precisely formulate operational decision problems so that they can subsequently be analysed and optimized using suitable solution methods. A large number of quantitative real-world problems can be formulated and solved in this general framework. Applications of operations research comprise, for instance, decision problems in production planning, supply chain management, transportation networks, machine and workforce scheduling, blending of components, telecommunication network design, airline fleet assignment and revenue management.

This course offers an introduction to operations research, emphasizing basic methodologies and underlying mathematical structures. The following topics are covered in detail:
- Introduction to system modelling and operations research
- Linear models and the importance of linear programming
- Duality theory in linear programming and shadow prices
- Integer programming
- Dynamic optimization (under uncertainty) and applications in inventory management.
Lecture notesA printed script will be made available.
LiteratureAny standard textbook in Operations Research is a useful complement to the course.
Prerequisites / NoticeUndergraduate calculus, linear algebra, probability and statistics are a prerequisite.
101-0031-01LSystems EngineeringO4 credits4GB. T. Adey
Abstract• 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.
ObjectiveThe 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.
ContentThe weekly lectures are 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.
Lecture notes• The lecture materials consist of a script, the slides and example calculations in Excel.
• The lecture materials will be distributed via Moodle two days before each lecture.
LiteratureAppropriate literature in addition to the lecture materials will be handed out when required via Moodle.
Prerequisites / NoticeThis course has no prerequisites.
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Media and Digital Technologiesfostered
Project Managementfostered
Social CompetenciesCommunicationfostered
Cooperation and Teamworkfostered
Customer Orientationfostered
Leadership and Responsibilityfostered
Self-presentation and Social Influence fostered
Sensitivity to Diversityfostered
Personal CompetenciesAdaptability and Flexibilityfostered
Creative Thinkingfostered
Critical Thinkingassessed
Integrity and Work Ethicsfostered
Self-awareness and Self-reflection fostered
Self-direction and Self-management fostered
101-0515-00LProject ManagementO2 credits2GC. G. C. Marxt
AbstractThe course gives a detailed introduction on various aspects of professional project management out of theory and practice. Established concepts and methods for project organization, planning, execution and evaluation are introduced and major challenges discussed. The course includes an introduction on specialized project management software as well as agile project management concepts.
ObjectiveProjects are not only the base of work in modern enterprises but also the primary type of cooperation with customers. Students of ETH will often work in or manage projects in the course of their career. Good project management knowledge is not only a guarantee for individual, but also for company wide success.

The goal of this course is to give a detailed introduction into project management. The students should learn to plan and execute a project.
ContentProject planning (aims, appointments, capacities, efforts and costs), project organization, scheduling and risk analysis, project execution, supervision and control, project evaluation, termination and documentation, conflict management, multinational project management, IT support as well as agile project management methods such as SCRUM.
Lecture notesNo.
The lecture slides and other additional material will be available for download from Moodle a week before each class.
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