Das Herbstsemester 2020 findet in einer gemischten Form aus Online- und Präsenzunterricht statt.
Bitte lesen Sie die publizierten Informationen zu den einzelnen Lehrveranstaltungen genau.

Suchergebnis: Katalogdaten im Herbstsemester 2019

Informatik Bachelor Information
Ergänzung
5. Semester
NummerTitelTypECTSUmfangDozierende
102-0227-00LSystems Analysis and Mathematical Modeling in Urban Water Management Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 50.
W6 KP4GE. Morgenroth, M. Maurer
KurzbeschreibungSystematic introduction of material balances, transport processes, kinetics, stoichiometry and conservation. Ideal reactors, residence time distribution, heterogeneous systems, dynamic response of reactors. Parameter identification, local sensitivity, error propagation, Monte Carlo simulation. Introduction to real time control (PID controllers). Extensive coding of examples in Berkeley Madonna.
LernzielThe goal of this course is to provide the students with an understanding and the tools to develop their own mathematical models, to plan experiments, to evaluate error propagation and to test simple process control strategies in the field of process engineering in urban water management.
InhaltThe course will provide a broad introduction into the fundamentals of modeling water treatment systems. The topics are:
- Introduction into modeling and simulation
- The material balance equations, transport processes, transformation processes (kinetics, stoichiometry, conservation)
- Ideal reactors
- Hydraulic residence time distribution and modeling of real reactors
- Dynamic behavior of reactor systems
- Systems analytical tools: Sensitivity, parameter identification, error propagation, Monte Carlo simulation
- Introduction to process control (PID controller, fuzzy control)
SkriptCopies of overheads will be made available.
LiteraturThere will be a required textbook that students need to purchase:
Willi Gujer (2008): Systems Analysis for Water Technology. Springer-Verlag, Berlin Heidelberg
Voraussetzungen / BesonderesGeneral understanding of urban water management. This course will be offered together with the course Process Engineering Ia. It is advantageous to follow both courses simultaneously.
151-0573-00LSystem Modeling Information W4 KP2V + 2UL. Guzzella
KurzbeschreibungEinführung in die Systemmodellierung für die Steuerung. Generische Modellierungsansätze auf der Grundlage erster Prinzipien, Lagrangealer Formalismus, Energieansätze und experimentelle Daten. Modellparametrierung und Parametrierung. Grundlegende Analyse von linearen und nichtlinearen Systemen.
LernzielErfahren Sie, wie man mathematisch ein physisches System oder einen Prozess in Form eines Modells beschreibt, das für Analyse- und Kontrollzwecke verwendbar ist.
InhaltDiese Klasse führt generische Systemmodellierungsansätze für steuerungsorientierte Modelle ein, die auf ersten Prinzipien und experimentellen Daten basieren. Die Klasse umfasst zahlreiche Beispiele für mechatronische, thermodynamische, chemische, flüssigkeitsdynamische, energie- und verfahrenstechnische Systeme. Modellskalierung, Linearisierung, Auftragsreduktion und Ausgleich. Parameterschätzung mit Methoden der kleinsten Quadrate. Verschiedene Fallstudien: Lautsprecher, Turbinen, Wasser Rakette, geostationäre Satelliten usw. Die Übungen behandeln praktische Beispiele.
SkriptDas Skript in englischer Sprache wird in der ersten Lektion verkauft.
LiteraturEine Literaturliste ist im Skript enthalten.
151-0575-01LSignals and Systems Information W4 KP2V + 2UA. Carron
KurzbeschreibungSignals arise in most engineering applications. They contain information about the behavior of physical systems. Systems respond to signals and produce other signals. In this course, we explore how signals can be represented and manipulated, and their effects on systems. We further explore how we can discover basic system properties by exciting a system with various types of signals.
LernzielMaster the basics of signals and systems. Apply this knowledge to problems in the homework assignments and programming exercise.
InhaltDiscrete-time signals and systems. Fourier- and z-Transforms. Frequency domain characterization of signals and systems. System identification. Time series analysis. Filter design.
SkriptLecture notes available on course website.
Voraussetzungen / BesonderesControl Systems I is helpful but not required.
151-0591-00LRegelungstechnik I Information W4 KP2V + 2UL. Guzzella
KurzbeschreibungAnalyse und Synthese einschleifiger Regelsysteme (SISO). Modellierung und Linearisierung dynamischer Systeme (Zustandsraummodell, Übertragungsfunktion), Stabilität, Steuerbarkeit und Beobachtbarkeit. Klassische Regelung mit PID-Regler. Nyquist-Kriterium, Loop-shaping mit Leadlag-Elementen.
LernzielIdentifizieren der Rolle und Bedeutung von Regelsystemen in der Welt. Modellieren und Linearisieren von dynamischen Systemen mit einem Ein- und Ausgang. Interpretieren der Stabilität, Beobachtbarkeit und Steuerbarkeit linearer Systeme. Beschreibung und Assoziierung modularer Blöcke linearer Systeme in der Zeit- und Frequenzdomäne mit Gleichungen und grafischen Darstellungen (Bode-, Nyquistdiagramm, Zeitdomänenverhalten) und deren Wechselverhalten. Erstellen von standard Rückführungsreglern, um linearisierte Systeme zu steuern und regeln. Erklären der Unterschiede zwischen erwarteten und tatsächlichen Regelungsresultstaten.
InhaltModellierung und Linearisierung dynamischer Systeme mit einem Ein- und Ausgang. Zustandsraumdarstellung der Modelle. Verhalten linearer Systeme im Zeitbereich und ihre Analyse auf Stabilität (Eigenwerte), Steuerbarkeit und Beobachtbarkeit. Laplace-Transformation und Analyse des Systems im Frequenzbereich. Übertragungsfunktion des Systems. Einfluss der Pole und Nullstellen der Übertragungsfunktion auf das dynamische Verhalten (Stabilität) des Systems. Harmonische Analyse des Systems durch den Frequenzgang. Stabilitätsanalyse des Regelsystems mit dem Nyquist-Kriterium. Prinzipielle Eigenschaften und Einschränkungen von Regelsystemen. Spezifikationen des Regelsystems. Entwurf von PID-Regler. Loop-shaping und Robustheit des Regelsystems. Diskrete Regelsystemrepräsentation und Stabilitätsanalyse.
SkriptAnalysis and Synthesis of Single-Input Single-Output Control Systems, Lino Guzzella, vdf Hochschulverlag. Das Lehrbuches wird zu Beginn des Semesters zum Verkauf angeboten.

Zusätzlich werden die Folien der Vorlesung online gestellt.
LiteraturAnalysis and Synthesis of Single-Input Single-Output Control Systems, Lino Guzzella, vdf Hochschulverlag. Das Lehrbuches wird zu Beginn des Semesters zum Verkauf angeboten.
Voraussetzungen / BesonderesGrundlagenkentnisse der (komplexen) Analysis und der linearen Algebra.
151-0601-00LTheory of Robotics and Mechatronics Information W4 KP3GP. Korba, S. Stoeter
KurzbeschreibungThis course provides an introduction and covers the fundamentals of the field, including rigid motions, homogeneous transformations, forward and inverse kinematics of multiple degree of freedom manipulators, velocity kinematics, motion planning, trajectory generation, sensing, vision, and control.
LernzielRobotics is often viewed from three perspectives: perception (sensing), manipulation (affecting changes in the world), and cognition (intelligence). Robotic systems integrate aspects of all three of these areas. This course provides an introduction to the theory of robotics, and covers the fundamentals of the field, including rigid motions, homogeneous transformations, forward and inverse kinematics of multiple degree of freedom manipulators, velocity kinematics, motion planning, trajectory generation, sensing, vision, and control.
InhaltAn introduction to the theory of robotics, and covers the fundamentals of the field, including rigid motions, homogeneous transformations, forward and inverse kinematics of multiple degree of freedom manipulators, velocity kinematics, motion planning, trajectory generation, sensing, vision, and control.
Skriptavailable.
151-0709-00LStochastic Methods for Engineers and Natural Scientists Belegung eingeschränkt - Details anzeigen
Number of participants limited to 45.
W4 KP3GD. W. Meyer-Massetti
KurzbeschreibungThe course provides an introduction into stochastic methods that are applicable for example for the description and modeling of turbulent and subsurface flows. Moreover, mathematical techniques are presented that are used to quantify uncertainty in various engineering applications.
LernzielBy the end of the course you should be able to mathematically describe random quantities and their effect on physical systems. Moreover, you should be able to develop basic stochastic models of such systems.
Inhalt- Probability theory, single and multiple random variables, mappings of random variables
- Estimation of statistical moments and probability densities based on data
- Stochastic differential equations, Ito calculus, PDF evolution equations
- Polynomial chaos and other expansion methods
All topics are illustrated with engineering applications.
SkriptDetailed lecture notes will be provided.
LiteraturSome textbooks related to the material covered in the course:
Stochastic Methods: A Handbook for the Natural and Social Sciences, Crispin Gardiner, Springer, 2010
The Fokker-Planck Equation: Methods of Solutions and Applications, Hannes Risken, Springer, 1996
Turbulent Flows, S.B. Pope, Cambridge University Press, 2000
Spectral Methods for Uncertainty Quantification, O.P. Le Maitre and O.M. Knio, Springer, 2010
151-3217-00LCoaching Students (Basistraining)W1 KP1GB. Volk, R. P. Haas, M. Lehner
KurzbeschreibungZiel ist die Erweiterung von Wissen und Kompetenzen in Bezug auf Coaching-Fähigkeiten. Teilnehmende sollten aktive Coaches eines Studententeams sein. Themen: Überblick über Rollen und Haltung eines Coaches, Einführung in die Coaching-Methodik. Gegenseitiges Lernen und Reflektieren der eigenen Coaching-Erfahrungen und -fälle.
Lernziel- Grundkenntnisse der Rolle und Denkweise eines Coaches
- Erste Kenntnisse und Reflexion klassischer Coaching Situationen
- Inspiration und gegenseitiges Lernen an konkreten Coachings (Hospitationen)
InhaltGrundkenntnisse der Rolle und Denkweise eines Coaches
- Coaching-Einführung: Definition und Modelle
- Einführung in den Coaching-Prozess und die Phasen der Teamentwicklung
- Coaching-Rollen zwischen Prüfendem, Tutor und "Freund"
Erster Aufbau der persönlichen Coaching-Kompetenzen, u.a. aktives Zuhören, Fragestellung, Feedback geben
- Kompetenzen in theoretischen Modellen
- Coaching-Kompetenzen: Übungen und Reflektion
Erste Reflektion und Erfahrungsaustausch über persönliche Coaching-Situationen
- Erfahrungsaustausch in der Vorlesungsgruppe
- Gegenseitige Hospitationen
SkriptFolien und andere Dokumente (z.B. Artikel) werden elektronisch verteilt
(Zugang nur für den Kurs eingeschriebene Studierende).
LiteraturSiehe Skript.
Voraussetzungen / BesonderesNur für Teilnehmer (Studierende. Doktoranden und PostDocs), die aktiv Studierende betreuen.
227-0076-00LElektrotechnik IIW4 KP2V + 2UJ. Biela
KurzbeschreibungBeschreibung von sinusförmigen Signalen und Systemen im Zeit- und Frequenzbereich, Funktion grundlegender analoger und digitaler Schaltungen sowie von Analog-Digital-Wandlern. Grundlagen leistungselektronischer Konverter, Berechnung magnetischer Kreise, elektromechanische Energiewandlung, Funktionsprinzip von Transformatoren und ausgewählter rotierender elektrischer Maschinen.
LernzielSie sind fähig, folgende Inhalte zu erklären:
- Operationsverstärker / Komparator
- Mit- und Gegenkopplung
- Abtasten, Aliasing, Quantisieren
- Grundkonzepte von AD-Wandler
- Grundkonzepte von DA-Wandler
- Prinzipielle Funktionsweise von Leistungshalbleiter
- Ungesteuerte Gleichrichterschaltungen auf Basis von Dioden
- Grundkonzept von Power Factor Correction (PFC)
- Funktionsweise einer Gleichstrommaschine
- Dreiphasensysteme (Stern-/Dreieckschaltung)
- Erzeugung eines magnetischen Drehfeldes
- Prinzipielle Funktionsweise der Synchron- und der Asynchronmaschine

Sie sind fähig, einfache elektrische Netzwerke angeregt durch sinusförmigen Quellen im eingeschwungenen Zustand zu berechnen.

Sie sind fähig, analoge Schaltungen mit invertierenden/nicht-invertierenden Verstärkern, Integratoren, Differentiatoren, Tiefpass/Hochpassfilter und PI-Regler zu berechnen.

Sie sind fähig, analoge Schaltungen mit invertierenden/nicht-invertierenden Komparatoren mit und ohne Hysterese zu berechnen.

Sie sind fähig, getaktete Gleichspannungs-Gleichspannungswandler, d.h. Tief- und Hochsetzsteller, zu berechnen.

Sie sind fähig, einfache magnetische Kreise und die Kraftbildung in Gleichstrommaschinen zu berechnen.

Hinweis: Eine detaillierte Liste der einzelnen Lernziele ist im Skript ET II zu finden.
InhaltBeschreibung von sinusförmigen Signalen und Systemen im Zeit- und Frequenzbereich, Funktion grundlegender analoger und digitaler Schaltungen sowie von Analog-Digital-Wandlern. Grundlagen leistungselektronischer Konverter, Berechnung magnetischer Kreise, elektromechanische Energiewandlung, Funktionsprinzip von Transformatoren und ausgewählter rotierender elektrischer Maschinen.
227-0116-00LVLSI I: From Architectures to VLSI Circuits and FPGAs Information W6 KP5GF. K. Gürkaynak, L. Benini
KurzbeschreibungThis first course in a series that extends over three consecutive terms is concerned with tailoring algorithms and with devising high performance hardware architectures for their implementation as ASIC or with FPGAs. The focus is on front end design using HDLs and automatic synthesis for producing industrial-quality circuits.
LernzielUnderstand Very-Large-Scale Integrated Circuits (VLSI chips), Application-Specific Integrated Circuits (ASIC), and Field-Programmable Gate-Arrays (FPGA). Know their organization and be able to identify suitable application areas. Become fluent in front-end design from architectural conception to gate-level netlists. How to model digital circuits with SystemVerilog. How to ensure they behave as expected with the aid of simulation, testbenches, and assertions. How to take advantage of automatic synthesis tools to produce industrial-quality VLSI and FPGA circuits. Gain practical experience with the hardware description language SystemVerilog and with industrial Electronic Design Automation (EDA) tools.
InhaltThis course is concerned with system-level issues of VLSI design and FPGA implementations. Topics include:
- Overview on design methodologies and fabrication depths.
- Levels of abstraction for circuit modeling.
- Organization and configuration of commercial field-programmable components.
- FPGA design flows.
- Dedicated and general purpose architectures compared.
- How to obtain an architecture for a given processing algorithm.
- Meeting throughput, area, and power goals by way of architectural transformations.
- Hardware Description Languages (HDL) and the underlying concepts.
- SystemVerilog
- Register Transfer Level (RTL) synthesis and its limitations.
- Building blocks of digital VLSI circuits.
- Functional verification techniques and their limitations.
- Modular and largely reusable testbenches.
- Assertion-based verification.
- Synchronous versus asynchronous circuits.
- The case for synchronous circuits.
- Periodic events and the Anceau diagram.
- Case studies, ASICs compared to microprocessors, DSPs, and FPGAs.

During the exercises, students learn how to model FPGAs with SystemVerilog. They write testbenches for simulation purposes and synthesize gate-level netlists for FPGAs. Commercial EDA software by leading vendors is being used throughout.
SkriptTextbook and all further documents in English.
LiteraturH. Kaeslin: "Top-Down Digital VLSI Design, from Architectures to Gate-Level Circuits and FPGAs", Elsevier, 2014, ISBN 9780128007303.
Voraussetzungen / BesonderesPrerequisites:
Basics of digital circuits.

Examination:
In written form following the course semester (spring term). Problems are given in English, answers will be accepted in either English oder German.

Further details:
https://iis-students.ee.ethz.ch/lectures/vlsi-i/
227-0731-00LPower Market I - Portfolio and Risk ManagementW6 KP4GD. Reichelt, G. A. Koeppel
KurzbeschreibungPortfolio und Risiko Management für Energieversorgungsunternehmen, Europäischer Strommarkt und -handel, Terminkontrakte, Preisabsicherung, Optionen und Derivate, Kennzahlen für das Risikomanagement, finanztechnische Modellierung von Kraftwerken, grenzüberschreitender Stromhandel, Systemdienstleistungen, Regelenergiemarkt, Bilanzgruppenmodell
LernzielErwerb von umfassenden Kenntnissen über die weltweite Liberalisierung der Strommärkte, den internationalen Stromhandel sowie die Funktion von Strombörsen. Verstehen der Finanzprodukte (Derivate) basierend auf dem Strompreis. Abbilden des Portfolios aus physischer Produktion, Verträgen und Finanzprodukten. Beurteilen von Strategien zur Absicherung des Marktpreisrisikos. Beherrschen der Methoden und Werkzeuge des Risiko Managements.
Inhalt1. Europäischer Strommarkt und –handel
1.1. Einführung Stromhandel
1.2. Entwicklung des Marktes
1.3. Energiewirtschaft
1.4. Spothandel und OTC-Handel
1.5. Strombörse EEX

2. Marktmodell
2.1. Marktplatz und Organisation
2.2. Bilanzgruppenmodell / Ausgleichsenergie
2.3. Systemdienstleistungen
2.4. Regelenergiemarkt
2.5. Grenzüberschreitender Handel
2.6. Kapazitätsauktionen

3. Portfolio und Risiko Management
3.1. Portfoliomanagement 1 (Einführung)
3.2. Terminkontrakte (EEX Futures)
3.3. Risk Management 1 (m2m, VaR, hpfc, Volatilität, cVaR)
3.4. Risk Management 2 (PaR)
3.5. Vertragsbewertung (HPFC)
3.6. Portfoliomanagement 2
3.7. Risk Management 3 (Energiegeschäft)

4. Energie & Finance I
4.1. Optionen 1 – Grundlagen
4.2. Optionen 2 – Absicherungsstrategien
4.3. Einführung Derivate (Swaps, Cap, Floor, Collar)
4.4. Finanztechnische Modellierung von Kraftwerken
4.5. Wasserkraft und Handel
4.6. Anreizregulierung
SkriptHandouts mit den Folien der Vorlesung
Voraussetzungen / Besonderes1 Exkursion pro Semester, 2 Case Studies, externe Referaten für ausgewählte Themen.
Kurs Moodle: https://moodle-app2.let.ethz.ch/enrol/index.php?id=11636
227-0945-00LCell and Molecular Biology for Engineers I
This course is part I of a two-semester course.
W3 KP2GC. Frei
KurzbeschreibungThe course gives an introduction into cellular and molecular biology, specifically for students with a background in engineering. The focus will be on the basic organization of eukaryotic cells, molecular mechanisms and cellular functions. Textbook knowledge will be combined with results from recent research and technological innovations in biology.
LernzielAfter completing this course, engineering students will be able to apply their previous training in the quantitative and physical sciences to modern biology. Students will also learn the principles how biological models are established, and how these models can be tested.
InhaltLectures will include the following topics (part I and II): DNA, chromosomes, RNA, protein, genetics, gene expression, membrane structure and function, vesicular traffic, cellular communication, energy conversion, cytoskeleton, cell cycle, cellular growth, apoptosis, autophagy, cancer, development and stem cells.

In addition, 4 journal clubs will be held, where recent publications will be discussed (2 journal clubs in part I and 2 journal clubs in part II). For each journal club, students (alone or in groups of up to three students) have to write a summary and discussion of the publication. These written documents will be graded and count as 40% for the final grade.
SkriptScripts of all lectures will be available.
Literatur"Molecular Biology of the Cell" (6th edition) by Alberts, Johnson, Lewis, Raff, Roberts, and Walter.
227-2037-00LPhysical Modelling and SimulationW6 KP4GJ. Smajic
KurzbeschreibungThis module consists of (a) an introduction to fundamental equations of electromagnetics, mechanics and heat transfer, (b) a detailed overview of numerical methods for field simulations, and (c) practical examples solved in form of small projects.
LernzielBasic knowledge of the fundamental equations and effects of electromagnetics, mechanics, and heat transfer. Knowledge of the main concepts of numerical methods for physical modelling and simulation. Ability (a) to develop own simple field simulation programs, (b) to select an appropriate field solver for a given problem, (c) to perform field simulations, (d) to evaluate the obtained results, and (e) to interactively improve the models until sufficiently accurate results are obtained.
InhaltThe module begins with an introduction to the fundamental equations and effects of electromagnetics, mechanics, and heat transfer. After the introduction follows a detailed overview of the available numerical methods for solving electromagnetic, thermal and mechanical boundary value problems. This part of the course contains a general introduction into numerical methods, differential and integral forms, linear equation systems, Finite Difference Method (FDM), Boundary Element Method (BEM), Method of Moments (MoM), Multiple Multipole Program (MMP) and Finite Element Method (FEM). The theoretical part of the course finishes with a presentation of multiphysics simulations through several practical examples of HF-engineering such as coupled electromagnetic-mechanical and electromagnetic-thermal analysis of MEMS.
In the second part of the course the students will work in small groups on practical simulation problems. For solving practical problems the students can develop and use own simulation programs or chose an appropriate commercial field solver for their specific problem. This practical simulation work of the students is supervised by the lecturers.
252-4900-00LDidactic Basics for Student Teaching Assistants @ ETHW1 KPG. Serafini
KurzbeschreibungDidaktische Ausbildung für Hilfsassistierende
LernzielDie Lehrassistierenden…

- geben sich gegenseitig Feedback auf ihre Lehre und reflektieren ihre Unterrichtspraxis.

- verstehen die Grundlagen von Lehre und Lernen im Kontext ihres Unterrichtsfachs.

- fühlen sich sicher, aktivierende Lehrmethoden in ihrer Unterrichtspraxis anzuwenden.
Inhalt- Theoretische Grundlagen

- Peerhospitation - Kollegialer Unterrichtsbesuch mit Feedback

- Transferveranstaltung - Was nehme ich aus der Ausbildung, der Peerhospitation und der konkreten Unterrichtserfahrung mit?
351-0778-00LDiscovering Management
Entry level course in management for BSc, MSc and PHD students at all levels not belonging to D-MTEC. This course can be complemented with Discovering Management (Excercises) 351-0778-01.
W3 KP3GB. Clarysse, S. Brusoni, E. Fleisch, G. Grote, V. Hoffmann, T. Netland, G. von Krogh, F. von Wangenheim
KurzbeschreibungDiscovering Management offers an introduction to the field of business management and entrepreneurship for engineers and natural scientists. The module provides an overview of the principles of management, teaches knowledge about management that is highly complementary to the students' technical knowledge, and provides a basis for advancing the knowledge of the various subjects offered at D-MTEC.
LernzielDiscovering Management combines in an innovate format a set of lectures and an advanced business game. The learning model for Discovering Management involves 'learning by doing'. The objective is to introduce the students to the relevant topics of the management literature and give them a good introduction in entrepreneurship topics too. The course is a series of lectures on the topics of strategy, innovation, corporate finance, leadership, design thinking and corporate social responsibility. While the 14 different lectures provide the theoretical and conceptual foundations, the experiential learning outcomes result from the interactive business game. The purpose of the business game is to analyse the innovative needs of a large multinational company and develop a business case for the company to grow. This business case is as relevant to someone exploring innovation within an organisation as it is if you are planning to start your own business. By discovering the key aspects of entrepreneurial management, the purpose of the course is to advance students' understanding of factors driving innovation, entrepreneurship, and company success.
InhaltDiscovering Management aims to broaden the students' understanding of the principles of business management, emphasizing the interdependence of various topics in the development and management of a firm. The lectures introduce students not only to topics relevant for managing large corporations, but also touch upon the different aspects of starting up your own venture. The lectures will be presented by the respective area specialists at D-MTEC.
The course broadens the view and understanding of technology by linking it with its commercial applications and with society. The lectures are designed to introduce students to topics related to strategy, corporate innovation, leadership, corporate and entrepreneurial finance, value chain analysis, corporate social responsibility, and business model innovation. Practical examples from industry experts will stimulate the students to critically assess these issues. Creative skills will be trained by the business game exercise, a participant-centered learning activity, which provides students with the opportunity to place themselves in the role of Chief Innovation Officer of a large multinational company. As they learn more about the specific case and identify the challenge they are faced with, the students will have to develop an innovative business case for this multinational corporation. Doing so, this exercise will provide an insight into the context of managerial problem-solving and corporate innovation, and enhance the students' appreciation for the complex tasks companies and managers deal with. The business game presents a realistic model of a company and provides a valuable learning platform to integrate the increasingly important development of the skills and competences required to identify entrepreneurial opportunities, analyse the future business environment and successfully respond to it by taking systematic decisions, e.g. critical assessment of technological possibilities.
Voraussetzungen / BesonderesDiscovering Management is designed to suit the needs and expectations of Bachelor students at all levels as well as Master and PhD students not belonging to D-MTEC. By providing an overview of Business Management, this course is an ideal enrichment of the standard curriculum at ETH Zurich.
No prior knowledge of business or economics is required to successfully complete this course.
351-0778-01LDiscovering Management (Exercises)
Complementary exercises for the module Discovering Managment.

Prerequisite: Participation and successful completion of the module Discovering Management (351-0778-00L) is mandatory.
W1 KP1UB. Clarysse, L. De Cuyper
KurzbeschreibungThis course is offered complementary to the basis course 351-0778-00L, "Discovering Management". The course offers additional exercises and case studies.
LernzielThis course is offered to complement the course 351-0778-00L. The course offers additional exercises and case studies.
InhaltThe course offers additional exercises and case studies concering:
Strategic Management; Technology and Innovation Management; Operations and Supply Chain Management; Finance and Accounting; Marketing and Sales.

Please refer to the course website for further information on the content, credit conditions and schedule of the module: Link
363-0541-00LSystems Dynamics and ComplexityW3 KP3GF. Schweitzer
KurzbeschreibungFinding solutions: what is complexity, problem solving cycle.

Implementing solutions: project management, critical path method, quality control feedback loop.

Controlling solutions: Vensim software, feedback cycles, control parameters, instabilities, chaos, oscillations and cycles, supply and demand, production functions, investment and consumption
LernzielA successful participant of the course is able to:
- understand why most real problems are not simple, but require solution methods that go beyond algorithmic and mathematical approaches
- apply the problem solving cycle as a systematic approach to identify problems and their solutions
- calculate project schedules according to the critical path method
- setup and run systems dynamics models by means of the Vensim software
- identify feedback cycles and reasons for unintended systems behavior
- analyse the stability of nonlinear dynamical systems and apply this to macroeconomic dynamics
InhaltWhy are problems not simple? Why do some systems behave in an unintended way? How can we model and control their dynamics? The course provides answers to these questions by using a broad range of methods encompassing systems oriented management, classical systems dynamics, nonlinear dynamics and macroeconomic modeling.
The course is structured along three main tasks:
1. Finding solutions
2. Implementing solutions
3. Controlling solutions

PART 1 introduces complexity as a system immanent property that cannot be simplified. It introduces the problem solving cycle, used in systems oriented management, as an approach to structure problems and to find solutions.

PART 2 discusses selected problems of project management when implementing solutions. Methods for identifying the critical path of subtasks in a project and for calculating the allocation of resources are provided. The role of quality control as an additional feedback loop and the consequences of small changes are discussed.

PART 3, by far the largest part of the course, provides more insight into the dynamics of existing systems. Examples come from biology (population dynamics), management (inventory modeling, technology adoption, production systems) and economics (supply and demand, investment and consumption). For systems dynamics models, the software program VENSIM is used to evaluate the dynamics. For economic models analytical approaches, also used in nonlinear dynamics and control theory, are applied. These together provide a systematic understanding of the role of feedback loops and instabilities in the dynamics of systems. Emphasis is on oscillating phenomena, such as business cycles and other life cycles.

Weekly self-study tasks are used to apply the concepts introduced in the lectures and to come to grips with the software program VENSIM.
Another objective of the self-study tasks is to practice efficient communication of such concepts.
These are provided as home work and two of these will be graded (see "Prerequisites").
SkriptThe lecture slides are provided as handouts - including notes and literature sources - to registered students only. All material is to be found on the Moodle platform. More details during the first lecture
Voraussetzungen / BesonderesThe end-of-semester examination will account for 70% of the grade and may be conducted on computers.
The self-study tasks contribute to the compulsory continuous performance assessment (obligatorisches Leistungselement) and account for 30% to the final grade.
The Leistungselement contains several modules: one obligatory self-study tasks (self-assessment, pass/fail), one group activity (one out of 3 group exercises, 15% of grade), and one individual submission (one out of 6 individual exercises, 15% of grade).
Students will also be required to submit peer feedback about self-study solutions of other students (4 feedback submissions in total).
The 30% Leistungselement is conditional on the pass/fail self-assessment exercise and the four feedback submissions.
363-1082-00LEnabling Entrepreneurship: From Science to Startup Belegung eingeschränkt - Details anzeigen
Students should provide a brief overview (unto 1 page) of their business ideas that they would like to commercialise through the course. If they do not have an idea, they are required to provide a motivation letter stating why they would like to do this elective. If you are unsure about the readiness of your idea or technology to be converted into a startup, please drop me a line to schedule a call or meeting to discuss.

The total number of students will be limited to 40. It is preferable that the students already form teams of at least two persons, where both the team-members would like to do the course. The names of the team-members should be provided together with the business idea or the motivation letter submitted by the students.

The students should submit the necessary information and apply to anilsethi@ethz.ch.
W3 KP2VA. Sethi
KurzbeschreibungParticipants form teams and identify an idea, which is then taken through the steps necessary to form a startup. The primary focus of the course is geared to technology startups that want to reach scale.
LernzielParticipants want to become entrepreneurs.
Participants can be from business or science & technology
The course will enable the students to identify an idea and take all necessary steps to convert it into a company, through the duration of the two semesters.
The participants will have constant exposure to investors and entrepreneurs (with a focus on ETH spin-offs) through the course, to gain an understanding of their vision and different perspectives.
InhaltParticipants start from idea identification, forming team, technology and market size validation, assessing time-to-market, customer focus, IP strategy & financials, to become capable of starting the company and finally making the pitch to investors.

The seminar comprises lectures, talks from invited investors regarding the importance of the various elements being covered in content, workshops and teamwork. There is a particular emphasis on market validation on each step of the journey, to ensure the relevance of the idea, relevance to customers, time to market and customer value.
LiteraturBook
Sethi, A. "From Science to Startup"
ISBN 978-3-319-30422-9
Voraussetzungen / BesonderesThis course is only relevant for those students who aspire to become entrepreneurs.

Students applying for this course are requested to submit a 1 page business idea or, in case they don't have a business idea, a brief motivation letter stating why they would like to do this course.

The course will be in two modules (autumn and spring), which will run in two consecutive semesters. Priority for the second semester will be given to those students who have attended the first semester.

If you are unsure about the readiness of your idea or technology to be converted into a startup, please drop me a line to schedule a call or meeting to discuss.
363-1109-00LEinführung in die Mikroökonomie
GESS (Science in Perspective): Diese Lehrveranstaltung ist nur für Bachelorstudierende.
Masterstudierende können die LE 363-0503-00L „Principles of Microeconomics“ belegen.

Hinweis für D-MAVT Studierende: Sollten Sie bereits «363-0503-00L Principles of Microeconomics» erfolgreich absolviert haben, dann dürfen Sie diese Lehrveranstaltung nicht mehr belegen.
W3 KP2GM. Wörter, M. Beck
KurzbeschreibungDer Kurs führt in die Grundlagen, Probleme und Ansätze der Mikroökonomie ein. Er beschreibt wirtschaftliche Entscheidungen von Haushalten und Unternehmen und deren Koordination durch vollkommene Märkte.
LernzielDie Studierenden erarbeiten sich ein vertieftes Verständnis grundlegender mikroökonomischer Modelle.

Sie erlangen die Fähigkeit, diese Modelle bei der Interpretation realer wirtschaftlicher Zusammenhänge anzuwenden.

Die Studierenden verfügen über ein reflektierendes und kontextbezogenes Wissen darüber, wie Gesellschaften knappe Ressourcen nutzen, um Güter und Dienstleistungen zu produzieren und unter sich zu verteilen.
InhaltMarkt, Budgetrestriktion, Präferenzen, Nutzenfunktion, Nutzenmaximierung, Nachfrage, Technologie, Gewinnfunktion, Kostenminimierung, Kostenfunktion, vollkommene Konkurrenz, Information und Kommunikationstechnologien.
SkriptUnterlagen in der Internet Lernumgebung https://moodle-app2.let.ethz.ch/auth/shibboleth/login.php
LiteraturVarian, Hal R. (2014), Intermediate Microeconomics, W.W. Norton

Deutsche Übersetzung: Grundzüge der Mikroökonomik (2016), 9. Auflage, Oldenbourg; auch die frühere 8. Ausgabe (2011) kann verwendet werden.
Voraussetzungen / BesonderesDiese Lehrveranstaltung "Einführung in die Mikroökonomie“ (363-1109-00L) ist für Bachelorstudierende gedacht und LE 363-0503-00 „Principles of Microeconomics“ für Masterstudierende.
376-1177-00LHuman Factors IW3 KP2VM. Menozzi Jäckli, R. Huang, M. Siegrist
KurzbeschreibungEvery day humans interact with various systems. Strategies of interaction, individual needs, physical & mental abilities, and system properties are important factors in controlling the quality and performance in interaction processes. In the lecture, factors are investigated by basic scientific approaches. Discussed topics are important for optimizing people's satisfaction & overall performance.
LernzielThe goal of the lecture is to empower students in better understanding the applied theories, principles, and methods in various applications. Students are expected to learn about how to enable an efficient and qualitatively high standing interaction between human and the environment, considering costs, benefits, health, and safety as well. Thus, an ergonomic design and evaluation process of products, tasks, and environments may be promoted in different disciplines. The goal is achieved in addressing a broad variety of topics and embedding the discussion in macroscopic factors such as the behavior of consumers and objectives of economy.
Inhalt- Physiological, physical, and cognitive factors in sensation and perception
- Body spaces and functional anthropometry, Digital Human Models
- Experimental techniques in assessing human performance and well-being
- Human factors and ergonomics in system designs, product development and innovation
- Human information processing and biological cybernetics
- Interaction among consumers, environments, behavior, and tasks
Literatur- Gavriel Salvendy, Handbook of Human Factors and Ergonomics, 4th edition (2012), is available on NEBIS as electronic version and for free to ETH students
- Further textbooks are introduced in the lecture
- Brouchures, checklists, key articles etc. are uploaded in ILIAS
401-0353-00LAnalysis 3 Information W4 KP2V + 2UM. Iacobelli
KurzbeschreibungIn this lecture we treat problems in applied analysis. The focus lies on the solution of quasilinear first order PDEs with the method of characteristics, and on the study of three fundamental types of partial differential equations of second order: the Laplace equation, the heat equation, and the wave equation.
LernzielThe aim of this class is to provide students with a general overview of first and second order PDEs, and teach them how to solve some of these equations using characteristics and/or separation of variables.
Inhalt1.) General introduction to PDEs and their classification (linear, quasilinear, semilinear, nonlinear / elliptic, parabolic, hyperbolic)

2.) Quasilinear first order PDEs
- Solution with the method of characteristics
- COnservation laws

3.) Hyperbolic PDEs
- wave equation
- d'Alembert formula in (1+1)-dimensions
- method of separation of variables

4.) Parabolic PDEs
- heat equation
- maximum principle
- method of separation of variables

5.) Elliptic PDEs
- Laplace equation
- maximum principle
- method of separation of variables
- variational method
LiteraturY. Pinchover, J. Rubinstein, "An Introduction to Partial Differential Equations", Cambridge University Press (12. Mai 2005)
Voraussetzungen / BesonderesPrerequisites: Analysis I and II, Fourier series (Complex Analysis)
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