Suchergebnis: Katalogdaten im Herbstsemester 2019
|Doktorat Departement Maschinenbau und Verfahrenstechnik |
Mehr Informationen unter: https://www.ethz.ch/de/doktorat.html
|Lehrangebot Doktorat und Postdoktorat|
|151-0111-00L||Research Seminar in Fluid Dynamics |
Internes Forschungsseminar für Doktoranden und wissenschaftliche Mitarbeiter des IFD.
|E-||0 KP||2S||P. Jenny, T. Rösgen|
|Kurzbeschreibung||Current research projects at the Institute of Fluid Dynamics are presented and discussed.|
|Lernziel||Exchange on current internal research projects. Training of presentation skills.|
|151-9901-00L||Scientific Writing for Publication in Engineering |
Only for D-MAVT doctoral students.
Number of participants limited to 15 per group.
|W||2 KP||1G||S. Milligan|
|Kurzbeschreibung||Scientific Writing for Publication in Engineering is a short course (5 half-day workshops) designed to help junior researchers develop the skills needed to write their first research articles in English.|
|Lernziel||The course deals with topics such as|
• Fitting texts to target readerships and journals
• Managing the writing process efficiently
• Structuring each section of the text effectively
• Producing fluent and reader-focused sentences and paragraphs
• Editing the text before submission
• Revising in response to reviewers’ comments.
|Inhalt||Participants produce a number of short texts as homework assignments and receive detailed individual feedback on these during the course.|
The course takes place at times and locations chosen to suit MAVT doctoral researchers. Content and materials deal specifically with the demands of writing in engineering research fields. Wherever feasible, elements of participants’ future research articles are developed as assignments within the course, so it is particularly useful for those who have their data and are about to begin the writing process.
|» Auswahl aus sämtlichen Lehrveranstaltungen der ETH Zürich|
|151-0107-20L||High Performance Computing for Science and Engineering (HPCSE) I||W||4 KP||4G||P. Koumoutsakos|
|Kurzbeschreibung||This course gives an introduction into algorithms and numerical methods for parallel computing on shared and distributed memory architectures. The algorithms and methods are supported with problems that appear frequently in science and engineering.|
|Lernziel||With manufacturing processes reaching its limits in terms of transistor density on today’s computing architectures, efficient utilization of computing resources must include parallel execution to maintain scaling. The use of computers in academia, industry and society is a fundamental tool for problem solving today while the “think parallel” mind-set of developers is still lagging behind.|
The aim of the course is to introduce the student to the fundamentals of parallel programming using shared and distributed memory programming models. The goal is on learning to apply these techniques with the help of examples frequently found in science and engineering and to deploy them on large scale high performance computing (HPC) architectures.
|Inhalt||1. Hardware and Architecture: Moore’s Law, Instruction set architectures (MIPS, RISC, CISC), Instruction pipelines, Caches, Flynn’s taxonomy, Vector instructions (for Intel x86)|
2. Shared memory parallelism: Threads, Memory models, Cache coherency, Mutual exclusion, Uniform and Non-Uniform memory access, Open Multi-Processing (OpenMP)
3. Distributed memory parallelism: Message Passing Interface (MPI), Point-to-Point and collective communication, Blocking and non-blocking methods, Parallel file I/O, Hybrid programming models
4. Performance and parallel efficiency analysis: Performance analysis of algorithms, Roofline model, Amdahl’s Law, Strong and weak scaling analysis
5. Applications: HPC Math libraries, Linear Algebra and matrix/vector operations, Singular value decomposition, Neural Networks and linear autoencoders, Solving partial differential equations (PDEs) using grid-based and particle methods
Class notes, handouts
|Literatur||• An Introduction to Parallel Programming, P. Pacheco, Morgan Kaufmann|
• Introduction to High Performance Computing for Scientists and Engineers, G. Hager and G. Wellein, CRC Press
• Computer Organization and Design, D.H. Patterson and J.L. Hennessy, Morgan Kaufmann
• Vortex Methods, G.H. Cottet and P. Koumoutsakos, Cambridge University Press
• Lecture notes
|Voraussetzungen / Besonderes||Students should be familiar with a compiled programming language (C, C++ or Fortran). Exercises and exams will be designed using C++. The course will not teach basics of programming. Some familiarity using the command line is assumed. Students should also have a basic understanding of diffusion and advection processes, as well as their underlying partial differential equations.|
|101-0192-00L||Academia Industry Modeling Week (University of Zurich)|
Der Kurs muss direkt an der UZH belegt werden.
UZH Modulkürzel: ESC802
Beachten Sie die Einschreibungstermine an der UZH: https://www.uzh.ch/cmsssl/de/studies/application/mobilitaet.html
|Kurzbeschreibung||Focused research by teams of Master and PhD students as well as post-doctoral fellows on applied problems proposed by industrial partners. Industry representatives and participating faculty coordinate the formulation of the problem and supervise the research teams. Topics can cover all scientific interests and domains represented in the PhD program and in particular their interfaces.|
|Lernziel||Team work on industrial problems. Interfacing academia and industry.|
|Voraussetzungen / Besonderes||Permission of the PhD advisor and/or instructor.|
|151-0123-00L||Experimental Methods for Engineers||W||4 KP||2V + 2U||T. Rösgen, A.‑K. U. Michel, N. Noiray, H.‑M. Prasser, M. Tibbitt|
|Kurzbeschreibung||The course presents an overview of measurement tasks in engineering environments. Different concepts for the acquisition and processing of typical measurement quantities are introduced. Following an initial in-class introduction, laboratory exercises from different application areas (especially in thermofluidics and process engineering) are attended by students in small groups.|
|Lernziel||Introduction to various aspects of measurement techniques, with particular emphasis on thermo-fluidic applications.|
Understanding of various sensing technologies and analysis procedures.
Exposure to typical experiments, diagnostics hardware, data acquisition and processing.
Study of applications in the laboratory.
Fundamentals of scientific documentation & reporting.
|Inhalt||In-class introduction to representative measurement techniques in the|
research areas of the participating institutes (fluid dynamics, energy technology, process engineering)
Student participation in 8-10 laboratory experiments (study groups of 3-5 students, dependent on the number of course participants and available experiments)
Lab reports for all attended experiments have to be submitted by the study groups.
A final exam evaluates the acquired knowledge individually.
|Skript||Presentations, handouts and instructions are provided for each experiment.|
|Literatur||Holman, J.P. "Experimental Methods for Engineers", McGraw-Hill 2001, ISBN 0-07-366055-8|
Morris, A.S. & Langari, R. "Measurement and Instrumentation", Elsevier 2011, ISBN 0-12-381960-4
Eckelmann, H. "Einführung in die Strömungsmesstechnik", Teubner 1997, ISBN 3-519-02379-2
|Voraussetzungen / Besonderes||Basic understanding in the following areas:|
- fluid mechanics, thermodynamics, heat and mass transfer
- electrical engineering / electronics
- numerical data analysis and processing (e.g. using MATLAB)
|151-0182-00L||Fundamentals of CFD Methods||W||4 KP||3G||A. Haselbacher|
|Kurzbeschreibung||This course is focused on providing students with the knowledge and understanding required to develop simple computational fluid dynamics (CFD) codes to solve the incompressible Navier-Stokes equations and to critically assess the results produced by CFD codes. As part of the course, students will write their own codes and verify and validate them systematically.|
|Lernziel||1. Students know and understand basic numerical methods used in CFD in terms of accuracy and stability.|
2. Students have a basic understanding of a typical simple CFD code.
3. Students understand how to assess the numerical and physical accuracy of CFD results.
|Inhalt||1. Governing and model equations. Brief review of equations and properties |
2. Overview of basic concepts: Overview of discretization process and its consequences
3. Overview of numerical methods: Finite-difference and finite-volume methods
4. Analysis of spatially discrete equations: Consistency, accuracy, stability, convergence of semi-discrete methods
5. Time-integration methods: LMS and RK methods, consistency, accuracy, stability, convergence
6. Analysis of fully discrete equations: Consistency, accuracy, stability, convergence of fully discrete methods
7. Solution of one-dimensional advection equation: Motivation for and consequences of upwinding, Godunov's theorem, TVD methods, DRP methods
8. Solution of two-dimensional advection equation: Dimension-by-dimension methods, dimensional splitting, multidimensional methods
9. Solution of one- and two-dimensional diffusion equations: Implicit methods, ADI methods
10. Solution of one-dimensional advection-diffusion equation: Numerical vs physical viscosity, boundary layers, non-uniform grids
11. Solution of incompressible Navier-Stokes equations: Incompressibility constraint and consequences, fractional-step and pressure-correction methods
12. Solution of incompressible Navier-Stokes equations on unstructured grids
|Skript||The course is based mostly on notes developed by the instructor.|
|Literatur||Literature: There is no required textbook. Suggested references are:|
1. H.K. Versteeg and W. Malalasekera, An Introduction to Computational Fluid Dynamics, 2nd ed., Pearson Prentice Hall, 2007
2. R.H. Pletcher, J.C. Tannehill, and D. Anderson, Computational Fluid Mechanics and Heat Transfer, 3rd ed., Taylor & Francis, 2011
|Voraussetzungen / Besonderes||Prior knowledge of fluid dynamics, applied mathematics, basic numerical methods, and programming in Fortran and/or C++ (knowledge of MATLAB is *not* sufficient).|
|151-0563-01L||Dynamic Programming and Optimal Control||W||4 KP||2V + 1U||R. D'Andrea|
|Kurzbeschreibung||Introduction to Dynamic Programming and Optimal Control.|
|Lernziel||Covers the fundamental concepts of Dynamic Programming & Optimal Control.|
|Inhalt||Dynamic Programming Algorithm; Deterministic Systems and Shortest Path Problems; Infinite Horizon Problems, Bellman Equation; Deterministic Continuous-Time Optimal Control.|
|Literatur||Dynamic Programming and Optimal Control by Dimitri P. Bertsekas, Vol. I, 3rd edition, 2005, 558 pages, hardcover.|
|Voraussetzungen / Besonderes||Requirements: Knowledge of advanced calculus, introductory probability theory, and matrix-vector algebra.|
|151-0593-00L||Embedded Control Systems||W||4 KP||6G||J. S. Freudenberg, M. Schmid Daners|
|Kurzbeschreibung||This course provides a comprehensive overview of embedded control systems. The concepts introduced are implemented and verified on a microprocessor-controlled haptic device.|
|Lernziel||Familiarize students with main architectural principles and concepts of embedded control systems.|
|Inhalt||An embedded system is a microprocessor used as a component in another piece of technology, such as cell phones or automobiles. In this intensive two-week block course the students are presented the principles of embedded digital control systems using a haptic device as an example for a mechatronic system. A haptic interface allows for a human to interact with a computer through the sense of touch.|
Subjects covered in lectures and practical lab exercises include:
- The application of C-programming on a microprocessor
- Digital I/O and serial communication
- Quadrature decoding for wheel position sensing
- Queued analog-to-digital conversion to interface with the analog world
- Pulse width modulation
- Timer interrupts to create sampling time intervals
- System dynamics and virtual worlds with haptic feedback
- Introduction to rapid prototyping
|Skript||Lecture notes, lab instructions, supplemental material|
|Voraussetzungen / Besonderes||Prerequisite courses are Control Systems I and Informatics I.|
This course is restricted to 33 students due to limited lab infrastructure. Interested students please contact Marianne Schmid (E-Mail: firstname.lastname@example.org)
After your reservation has been confirmed please register online at www.mystudies.ethz.ch.
Detailed information can be found on the course website
|151-0833-00L||Principles of Nonlinear Finite-Element-Methods||W||5 KP||2V + 2U||N. Manopulo, B. Berisha|
|Kurzbeschreibung||Die meisten Problemstellungen im Ingenieurwesen sind nichtlinearer Natur. Die Nichtlinearitäten werden hauptsächlich durch nichtlineares Werkstoffverhalten, Kontaktbedingungen und Strukturinstabilitäten hervorgerufen. Im Rahmen dieser Vorlesung werden die theoretischen Grundlagen der nichtlinearen Finite-Element-Methoden zur Lösung von solchen Problemstellungen vermittelt.|
|Lernziel||Das Ziel der Vorlesung ist die Vermittlung von Grundkenntnissen der nichtlinearen Finite-Elemente-Methode (FEM). Der Fokus der Vorlesung liegt bei der Vermittlung der theoretischen Grundlagen der nichtlinearen FE-Methoden für implizite und explizite Formulierungen. Typische Anwendungen der nichtlinearen FE-Methode sind Simulationen von: |
- Kollaps von Strukturen
- Materialien aus der Biomechanik (Softmaterials)
- allgemeinen Umformprozessen
Insbesondere wird die Modellierung des nichtlinearem Werkstoffverhalten, thermomechanischen Vorgängen und Prozessen mit grossen plastischen Deformationen behandelt. Im Rahmen von begleitenden Uebungen wird die Fähigkeit erworben, selber virtuelle Modelle zur Beschreibung von komplexen nichtlinearen Systemen aufzubauen. Wichtige Modelle wie z.B. Stoffgesetze werden in Matlab programmiert.
|Inhalt||- Kontinuumsmechanische Grundlagen zur Beschreibung grosser plastischer Deformationen|
- Elasto-plastische Werkstoffmodelle
- Aufdatiert-Lagrange- (UL), Euler- und Gemischt-Euler-Lagrange (ALE) Betrachtungsweisen
- FEM-Implementation von Stoffgesetzen
- Implizite und explizite FEM-Methoden
- FEM-Formulierung des gekoppelten thermo-mechanischen Problems
- Modellierung des Werkzeugkontaktes und von Reibungseinflüssen
- Gleichungslöser und Konvergenz
- Modellierung von Rissausbreitungen
- Vorstellung erweiterter FE-Verfahren
|Literatur||Bathe, K. J., Finite-Elemente-Methoden, Springer-Verlag, 2002|
|Voraussetzungen / Besonderes||Bei einer grossen Anzahl von Studenten werden bei Bedarf zwei Übungstermine angeboten.|
|151-1053-00L||Thermo- and Fluid Dynamics||E-||0 KP||2K||P. Jenny, R. S. Abhari, K. Boulouchos, G. Haller, C. Müller, N. Noiray, D. Poulikakos, H.‑M. Prasser, T. Rösgen, A. Steinfeld|
|Kurzbeschreibung||Current advanced research activities in the areas of thermo- and fluid dynamics are presented and discussed, mostly by external speakers.|
|Lernziel||Knowledge of advanced research in the areas of thermo- and fluid dynamics|
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.
|W||3 KP||3G||B. Clarysse, S. Brusoni, E. Fleisch, G. Grote, V. Hoffmann, T. Netland, G. von Krogh, F. von Wangenheim|
|Kurzbeschreibung||Discovering 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.|
|Lernziel||Discovering 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.|
|Inhalt||Discovering 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 / Besonderes||Discovering 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.
|363-0341-00L||Introduction to Management||W||3 KP||2G||G. Windisch, S. Brusoni, B. Luthra|
|Kurzbeschreibung||This course is an introduction to the critical management skills involved in planning, structuring, controlling and leading an organization.|
|Lernziel||We develop a 'systemic' view of organizations. |
We look at organizations as part of an industry context, which is affected by different elements like strategy, structure, culture, tasks, people and outputs.
We consider how managerial decisions are made in any one of these domains affect decisions in each of the others.
|Inhalt||Further information is available on the Tim Group Chair's website: |
and on the Moodle of the course:
|Skript||The content of the course will rely on the book:|
Dess, G. G., Lumpkin, G. T., Eisner, A. B., & McNamara, G. 2012. Introduction to Management. New York: McGraw Hill.
Selected readings from the book and additional learning materials will be available on the course Moodle:
All the materials uploaded on Moodle must be considered as required readings.
|Voraussetzungen / Besonderes||The final exam of the present course is online exam.|
The final exam is requested for all types of students (BSc, MSc, MAs, PhD, and Exchange students).
It is not possible to retake the exam within the same term or academic year.
We strongly recommend Exchange students to take it into consideration when selecting the courses to attend.
|363-0389-00L||Technology and Innovation Management||W||3 KP||2G||S. Brusoni|
|Kurzbeschreibung||This course focuses on the analysis of innovation as a pervasive process that cut across organizational and functional boundaries. It looks at the sources of innovation, at the tools and techniques that organizations deploy to routinely innovate, and the strategic implications of technical change.|
|Lernziel||This course intends to enable all students to:|
- understand the core concepts necessary to analyze how innovation happens
- master the most common methods and tools organizations deploy to innovate
- develop the ability to critically evaluate the innovation process, and act upon the main obstacles to innovation
|Inhalt||This course looks at technology and innovation management as a process. Continuously, organizations are faced with a fundamental decision: they have to allocate resources between well-known tasks that reliably generate positive results; or explore new ways of doing things, new technologies, products and services. The latter is a high risk choice. Its rewards can be high, but the chances of success are small.|
How do firms organize to take these decisions? What kind of management skills are necessary to take them? What kind of tools and methods are deployed to sustain managerial decision-making in highly volatile environments? These are the central questions on which this course focuses, relying on a combination of lectures, case-based discussion, guest speakers, simulations and group work.
|Skript||Slides will be available on the Moodle page|
|Literatur||Readings will be available on the Moodle page|
|Voraussetzungen / Besonderes||The course content and methods are designed for students with some background in management and/or economics|
|363-0403-00L||Introduction to Marketing||W||3 KP||2G||F. von Wangenheim, M. Zimmer|
|Kurzbeschreibung||The course is designed to convey a profound understanding of marketing's role in modern firms, its interactions and interfaces with other disciplines, its main instruments and recent trends. Particular attention is given to emerging marketing concepts and instruments, and the role of marketing in technology firms.|
|Lernziel||After taking the lecture, students should have knowledge about|
1) The definition and role of marketing (marketing basics)
2) Creating marketing insights - understanding customer behavior
- Theoretical concepts in customer behavior (customer behavior)
- Analytical means to extend knowledge on customer behavior (marketing research)
- Strategic tools to quantify customer behavior (CLV, CE)
3) Strategic marketing - translating marketing insights into actionable marketing strategies
- Segmentation, Targeting, and Positioning
- Attracting customers (marketing mix, 4Ps)
- Maintaining profitable customer relations (CRM)
|Inhalt||The course is designed to convey a profound understanding of marketing's role in modern firms, its interactions and interfaces with other disciplines, its main instruments and recent trends. Particular attention is given to emerging marketing concepts and instruments, and the role of marketing in technology firms.|
The lecture features tutorial sessions that are held at irregularly spaced intervals throughout the semester (approximately every third week). The tutorial sessions take place at the same time and location as the main lecture. They serve to illustrate theoretical and methodological concepts from the lecture by walking students through basic marketing data analyses, where students can practice and apply the concepts of the lecture on their own. The tutorial is held jointly by three teaching assistants (Sandro Arnet, Zhiying Cui, and Jana Gross) and the professor (Prof. F. von Wangenheim).
|Literatur||Kotler, P./Armstrong, G.: Principles of Marketing, 17th edition, Pearson 2017.|
Weekly readings, distributed in class (via Moodle)
|363-0503-00L||Principles of Microeconomics|
GESS (Science in Perspective): This lecture is for MSc students only. BSc students register for 363-1109-00L Einführung in die Mikroökonomie.
|W||3 KP||2G||M. Filippini|
|Kurzbeschreibung||The course introduces basic principles, problems and approaches of microeconomics. This provides the students with reflective and contextual knowledge on how societies use scarce resources to produce goods and services and ensure a (fair) distribution.|
|Lernziel||The learning objectives of the course are:|
(1) Students must be able to discuss basic principles, problems and approaches in microeconomics. (2) Students can analyse and explain simple economic principles in a market using supply and demand graphs. (3) Students can contrast different market structures and describe firm and consumer behaviour. (4) Students can identify market failures such as externalities related to market activities and illustrate how these affect the economy as a whole. (5) Students can also recognize behavioural failures within a market and discuss basic concepts related to behavioural economics. (6) Students can apply simple mathematical concepts on economic problems.
|Inhalt||The resources on our planet are finite. The discipline of microeconomics therefore deals with the question of how society can use scarce resources to produce goods and services and ensure a (fair) distribution. In particular, microeconomics deals with the behaviour of consumers and firms in different market forms. Economic considerations and discussions are not part of classical engineering and science study programme. Thus, the goal of the lecture "Principles of Microeconomics" is to teach students how economic thinking and argumentation works. The course should help the students to look at the contents of their own studies from a different perspective and to be able to critically reflect on economic problems discussed in the society. |
Topics covered by the course are:
- Supply and demand
- Consumer demand: neoclassical and behavioural perspective
- Cost of production: neoclassical and behavioural perspective
- Welfare economics, deadweight losses
- Governmental policies
- Market failures, common resources and public goods
- Public sector, tax system
- Market forms (competitive, monopolistic, monopolistic competitive, oligopolistic)
- International trade
|Skript||Lecture notes, exercises and reference material can be downloaded from Moodle.|
|Literatur||N. Gregory Mankiw and Mark P. Taylor (2017), "Economics", 4th edition, South-Western Cengage Learning.|
The book can also be used for the course 'Principles of Macroeconomics' (Sturm)
For students taking only the course 'Principles of Microeconomics' there is a shorter version of the same book:
N. Gregory Mankiw and Mark P. Taylor (2017), "Microeconomics", 4th edition, South-Western Cengage Learning.
R. Pindyck and D. Rubinfeld (2018), "Microeconomics", 9th edition, Pearson Education.
|Voraussetzungen / Besonderes||GESS (Science in Perspective): This lecture is for MSc students only. BSc students register for 363-1109-00L Einführung in die Mikroökonomie.|
Not for MSc students belonging to D-MTEC!
|W||4 KP||3V||P. Egger, M. Köthenbürger|
|Kurzbeschreibung||"Managerial Economics" wendet Theorien und Methoden aus dem Bereich der Wirtschaftwissenschaften (Volks- und Betriebswirtschaftslehre) an, um das Entscheidungsverhalten von Unternehmen und Konsumenten im Kontext von Märkten zu analysieren. Der Kurs richtet sich an Studenten ohne wirtschaftswissenschaftliches Vorwissen.|
|Lernziel||Ziel des Kurses ist es, in die Grundlagen des mikroökonomischen Denkens einzuführen. Aufbauend auf Prinzipien von Optimierung und Gleichgewicht stehen hierbei zentrale ökonomische Konzepte des Individual- und Firmenverhaltens und deren Interaktion in Entscheidungskontexten von Märkten im Mittelpunkt. Aus einer Analyse des Verhaltens einzelner Konsumenten und Produzenten werden wir die Nachfrage, das Angebot und Gleichgewichte von Märkten unter verschiedenen Annahmen zur vorherrschenden Marktstruktur (vollständiger Wettbewerb, Monopol, oligopolistische Marktformen) entwickeln und ökonomisch diskutieren. Die in diesem Kurs vermittelten Inhalte bilden eine wesentliche Grundlage für eine volks- und betriebswirtschaftliche Kompetenz mit Hinblick auf Entscheidungskontexte des privatwirtschaftlichen und öffentlichen Sektors.|
|Literatur||"Mikroökonomie" von Robert Pindyck & Daniel Rubinfeld, aktualisierte 8. Auflage, 8/2013, (Pearson Studium - Economic VWL).|
|Voraussetzungen / Besonderes||Der Kurs richtet sich sowohl an Bachelor als auch an Master Studenten. Es ist kein spezielles Vorwissen in den Bereichen Ökonomik und Management erforderlich.|
|363-0565-00L||Principles of Macroeconomics||W||3 KP||2V||J.‑E. Sturm|
|Kurzbeschreibung||This course examines the behaviour of macroeconomic variables, such as gross domestic product, unemployment and inflation rates. It tries to answer questions like: How can we explain fluctuations of national economic activity? What can economic policy do against unemployment and inflation?|
|Lernziel||This lecture will introduce the fundamentals of macroeconomic theory and explain their relevance to every-day economic problems.|
|Inhalt||This course helps you understand the world in which you live. There are many questions about the macroeconomy that might spark your curiosity. Why are living standards so meagre in many African countries? Why do some countries have high rates of inflation while others have stable prices? Why have some European countries adopted a common currency? These are just a few of the questions that this course will help you answer.|
Furthermore, this course will give you a better understanding of the potential and limits of economic policy. As a voter, you help choose the policies that guide the allocation of society's resources. When deciding which policies to support, you may find yourself asking various questions about economics. What are the burdens associated with alternative forms of taxation? What are the effects of free trade with other countries? How does the government budget deficit affect the economy? These and similar questions are always on the minds of policy makers.
|Skript||The course webpage (to be found at https://moodle-app2.let.ethz.ch/course/view.php?id=11092) contains announcements, course information and lecture slides.|
|Literatur||The set-up of the course will closely follow the book of |
N. Gregory Mankiw and Mark P. Taylor (2017), Economics, Cengage Learning, Fourth Edition.
Besides this textbook, the slides, lecture notes and problem sets will cover the content of the lecture and the exam questions.
|363-0711-00L||Accounting for Managers||W||3 KP||2V||J.‑P. Chardonnens|
|Kurzbeschreibung||Overview of financial and managerial accounting|
Accounting for current and fixed assets
Liabilities and owner’s equity
Recording change in balance sheet
Measuring financial performance
Managing financial reporting
Full and variable costing system
Using accounting information for decision making purposes
|Lernziel||Understand the different procedures involved in the accounting system|
Record change in financial position
Measure business income
Prepare final accounts
Understand the principles of cost accounting
Calculate the different product costs
Make decisions about the acceptance or rejection of a particular product
|Inhalt||Financial Accounting: Balance sheet, income statement, double-entry accounting, journal and ledger, accounting for merchandising activities, value-added tax, adjustments before final accounts, provisions, depreciation, valuation,|
Managerial Accounting: Full costing, variable costing, cost-volume profit, break-even analysis, activity-based costing
|Voraussetzungen / Besonderes||This course is a prerequisite for the course Financial Management.|
|363-0790-00L||Technology Entrepreneurship||W||2 KP||2V||U. Claesson, B. Clarysse|
|Kurzbeschreibung||Technology ventures are significantly changing the global economic picture. Technological skills increasingly need to be complemented by entrepreneurial understanding. |
This course offers the fundamentals in theory and practice of entrepreneurship in new technology ventures. Main topics covered are success factors in the creation of new firms, including founding, financing and growing a venture.
|Lernziel||This course provides theory-grounded knowledge and practice-driven skills for founding, financing, and growing new technology ventures. A critical understanding of dos and don'ts is provided through highlighting and discussing real life examples and cases.|
|Inhalt||See course website: Link|
|Skript||Lecture slides and case material|
- Seite 1 von 2 Alle