Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Search result: Catalogue data in Autumn Semester 2017

Doctoral Department of Mechanical and Process Engineering Information
Doctoral and Post-Doctoral Courses
NumberTitleTypeECTSHoursLecturers
151-0111-00LResearch Seminar in Fluid Dynamics Restricted registration - show details
Internal research seminar for graduate students and scientific staffs of the IFD
E-0 credits2SP. Jenny, T. Rösgen
AbstractCurrent research projects at the Institute of Fluid Dynamics are presented and discussed.
ObjectiveExchange on current internal research projects. Training of presentation skills.
» Course Catalogue of ETH Zurich
151-0115-00LAcademia Industry Modeling Week (University of Zurich) Information
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: ESC802.1

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html
W2 credits3SUniversity lecturers
AbstractFocused 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.
ObjectiveTeam work on industrial problems. Interfacing academia and industry.
Prerequisites / NoticePermission of the PhD advisor and/or instructor.
151-0906-00LFrontiers in Energy Research
This course is only for doctoral students.
W2 credits2SD. Poulikakos, R. Boes, V. Hoffmann, G. Hug, M. Mazzotti, A. Patt, A. Schlüter
AbstractPhD students at ETH Zurich working in the broad area of energy present their research to their colleagues, to their advisors and to the scientific community.
ObjectiveKnowledge of advanced research in the area of energy.
ContentPhD students at ETH Zurich working in the broad area of energy present their research to their colleagues, to their advisors and to the scientific community. Every week there are two presentations, each structured as follows: 15 min introduction to the research topic, 15 min presentation of the results, 15 min discussion with the audience.
Lecture notesSlides will be distributed.
151-1049-00LSeminar in Fundamentals of Process Engineering Restricted registration - show details
Does not take place this semester.
Only for master and doctoral students of Process and Chemical Engineering.
W1 credit1SP. Rudolf von Rohr
AbstractThis seminar covers actual subjects from the specific research areas of the laboratory of transport processes and reactions.
ObjectiveScientific discussion on actual research topics
ContentThe contents are announced through the group's webpage.
Lecture notesNo textbook
151-1053-00LThermo- and Fluid Dynamics Information E-0 credits2KP. Jenny, R. S. Abhari, K. Boulouchos, C. Müller, H. G. Park, D. Poulikakos, H.‑M. Prasser, T. Rösgen
AbstractCurrent advanced research activities in the areas of thermo- and fluid dynamics are presented and discussed, mostly by external speakers.
ObjectiveKnowledge of advanced research in the areas of thermo- and fluid dynamics
151-0107-20LHigh Performance Computing for Science and Engineering (HPCSE) IW4 credits4GP. Koumoutsakos, P. Chatzidoukas
AbstractThis course gives an introduction into algorithms and numerical methods for parallel computing for multi and many-core architectures and for applications from problems in science and engineering.
ObjectiveIntroduction to HPC for scientists and engineers
Fundamental of:
1. Parallel Computing Architectures
2. MultiCores
3. ManyCores
ContentProgramming models and languages:
1. C++ threading (2 weeks)
2. OpenMP (4 weeks)
3. MPI (5 weeks)

Computers and methods:
1. Hardware and architectures
2. Libraries
3. Particles: N-body solvers
4. Fields: PDEs
5. Stochastics: Monte Carlo
Lecture noteshttp://www.cse-lab.ethz.ch/index.php/teaching/42-teaching/classes/615-hpcse1
Class notes, handouts
151-0123-00LExperimental Methods for EngineersW4 credits2V + 2UT. Rösgen, K. Boulouchos, D. J. Norris, H.‑M. Prasser
AbstractThe 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.
ObjectiveIntroduction 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.
ContentIn-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.
Lecture notesPresentations, handouts and instructions are provided for each experiment.
LiteratureHolman, 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
Prerequisites / NoticeBasic understanding in the following areas:
- fluid mechanics, thermodynamics, heat and mass transfer
- electrical engineering / electronics
- numerical data analysis and processing (e.g. using MATLAB)
151-0182-00LFundamentals of CFD MethodsW4 credits3GA. Haselbacher
AbstractThis 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.
Objective1. 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.
Content1. 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
Lecture notesThe course is based mostly on notes developed by the instructor.
LiteratureLiterature: 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
Prerequisites / NoticePrior knowledge of fluid dynamics, applied mathematics, basic numerical methods, and programming in Fortran and/or C++ (knowledge of MATLAB is *not* sufficient).
151-0519-00LComputational Solid Mechanics Information W4 credits4GD. Kochmann
AbstractTheoretical foundations and numerical applications of computational solid mechanics with a focus on the finite element method and related techniques, including the development and implementation of a finite element code in C++.
ObjectiveTo acquire the theoretical background and the practical implementation experience required to develop and use computational codes and to computationally solve problems of solid mechanics.
ContentTheoretical concepts of computational continuum mechanics (continuum mechanics in small and finite strains, constitutive modeling, variational methods, finite elements and finite differences, elastodynamics, initial boundary value problems), implementation strategies and details (coding in C++, development of a finite element code including material models, elements, assemblers, solvers, etc.) and application of the code to solve initial boundary value problems.
Lecture notesNotes will be provided.
LiteratureNo textbook, helpful reference literature will be announced.
Prerequisites / NoticeA background in solid mechanics is required (e.g., Mechanics 1, 2 and 3 or equivalent); a background in continuum mechanics is helpful.
151-0563-01LDynamic Programming and Optimal Control Information W4 credits2V + 1UR. D'Andrea
AbstractIntroduction to Dynamic Programming and Optimal Control.
ObjectiveCovers the fundamental concepts of Dynamic Programming & Optimal Control.
ContentDynamic Programming Algorithm; Deterministic Systems and Shortest Path Problems; Infinite Horizon Problems, Bellman Equation; Deterministic Continuous-Time Optimal Control.
LiteratureDynamic Programming and Optimal Control by Dimitri P. Bertsekas, Vol. I, 3rd edition, 2005, 558 pages, hardcover.
Prerequisites / NoticeRequirements: Knowledge of advanced calculus, introductory probability theory, and matrix-vector algebra.
151-0593-00LEmbedded Control SystemsW4 credits6GJ. S. Freudenberg, M. Schmid Daners
AbstractThis course provides a comprehensive overview of embedded control systems. The concepts introduced are implemented and verified on a microprocessor-controlled haptic device.
ObjectiveFamiliarize students with main architectural principles and concepts of embedded control systems.
ContentAn 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
Lecture notesLecture notes, lab instructions, supplemental material
Prerequisites / NoticePrerequisite 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: marischm@ethz.ch)
After your reservation has been confirmed please register online at www.mystudies.ethz.ch.

Detailed information can be found on the course website
http://www.idsc.ethz.ch/education/lectures/embedded-control-systems.html
151-0623-00LETH Zurich Distinguished Seminar in Robotics, Systems and Controls Information
Does not take place this semester.
Does not take place this semester.
This couse will be offered in Spring Semester 2018 again.

Students for other Master's programmes in Department Mechanical and Process Engineering cannot use the credit in the category Core Courses
W1 credit1SB. Nelson, J. Buchli, M. Chli, M. Hutter, W. Karlen, R. Riener, R. Siegwart
AbstractThis course consists of a series of seven lectures given by researchers who have distinguished themselves in the area of Robotics, Systems, and Controls.
ObjectiveObtain an overview of various topics in Robotics, Systems, and Controls from leaders in the field. Please see Link for a list of upcoming lectures.
ContentThis course consists of a series of seven lectures given by researchers who have distinguished themselves in the area of Robotics, Systems, and Controls. MSc students in Robotics, Systems, and Controls are required to attend every lecture. Attendance will be monitored. If for some reason a student cannot attend one of the lectures, the student must select another ETH or University of Zurich seminar related to the field and submit a one page description of the seminar topic. Please see Link for a suggestion of other lectures.
Prerequisites / NoticeStudents are required to attend all seven lectures to obtain credit. If a student must miss a lecture then attendance at a related special lecture will be accepted that is reported in a one page summary of the attended lecture. No exceptions to this rule are allowed.
151-0833-00LPrinciples of Nonlinear Finite-Element-Methods Information W5 credits2V + 2UN. Manopulo, B. Berisha
AbstractMost problems in engineering are of nonlinear nature. The nonlinearities are caused basically due to the nonlinear material behavior, contact conditions and instability of structures. The principles of the nonlinear Finite-Element-Method (FEM) will be introduced in the scope of this lecture for treating such problems.
ObjectiveThe goal of the lecture is to provide the students with the fundamentals of the non linear Finite Element Method (FEM). The lecture focuses on the principles of the nonlinear Finite-Element-Method based on explicit and implicit formulations. Typical applications of the nonlinear Finite-Element-Methods are simulations of:

- Crash
- Collapse of structures
- Materials in Biomechanics (soft materials)
- General forming processes

Special attention will be paid to the modeling of the nonlinear material behavior, thermo-mechanical processes and processes with large plastic deformations. The ability to independently create a virtual model which describes the complex non linear systems will be acquired through accompanying exercises. These will include the Matlab programming of important model components such as constitutive equations
Content- Fundamentals of continuum mechanics to characterize large plastic deformations
- Elasto-plastic material models
- Updated-Lagrange (UL), Euler and combined Euler-Lagrange (ALE) approaches
- FEM implementation of constitutive equations
- Element formulations
- Implicit and explicit FEM methods
- FEM formulations of coupled thermo-mechanical problems
- Modeling of tool contact and the influence of friction
- Solvers and convergence
- Modeling of crack propagation
- Introduction of advanced FE-Methods
Lecture notesyes
LiteratureBathe, K. J., Finite-Element-Procedures, Prentice-Hall, 1996
Prerequisites / NoticeIf we will have a large number of students, two dates for the exercises will be offered.
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 credits3GB. Clarysse, M. Ambühl, S. Brusoni, E. Fleisch, G. Grote, V. Hoffmann, T. Netland, G. von Krogh, F. von Wangenheim
AbstractDiscovering 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.
ObjectiveDiscovering 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.
ContentDiscovering 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.
Prerequisites / NoticeDiscovering 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.
363-0341-00LIntroduction to Management Information W3 credits2GS. Brusoni, P. Baschera
AbstractThis course is an introduction to the critical management skills involved in planning, structuring, controlling and leading an organization.
ObjectiveWe 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.
ContentFurther information is available on the Tim Group Chair's website:
http://www.timgroup.ethz.ch/en/courses

and on the Moodle of the course:
https://moodle-app2.let.ethz.ch/course/view.php?id=3283
(The Enrollment Key to Moodle will be provided during the course. Please contact the TA of the course: Ms. Barbara La Cara, blacara@ethz.ch)
Lecture notesThe 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:
https://moodle-app2.let.ethz.ch/course/view.php?id=3283

All the materials uploaded on Moodle must be considered as required readings.
Prerequisites / NoticeThe final exam of the present course is in written form.
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.
363-0389-00LTechnology and Innovation Management Information W3 credits2GS. Brusoni
AbstractThis 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.
ObjectiveThis 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
ContentThis 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.
Lecture notesSlides will be available on the Moodle page
LiteratureReadings will be available on the Moodle page
Prerequisites / NoticeThe course content and methods are designed for students with some background in management and/or economics
363-0403-00LIntroduction to MarketingW3 credits2GF. von Wangenheim
AbstractThe 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.
ObjectiveAfter 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)
ContentThe 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. It serves to illustrate theoretical and methodological concepts from the lecture by walking students through the analysis of real-world data from the telecommunications industry. The case data will be provided so that students practice and apply the concepts of the lecture on their own. The tutorial is held jointly by two Teaching Assistants (Zhiying Cui and Jana Gross) and the professor (Prof. F. von Wangenheim).
LiteratureKotler, P./Armstrong, G.: Principles of Marketing, 17th edition, Pearson 2017.
Weekly readings, distributed in class (via Moodle)
363-0503-00LPrinciples of MicroeconomicsW3 credits2GM. Filippini
AbstractThe course introduces basic principles, problems and approaches of microeconomics.
ObjectiveThe 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 apply simple mathematical treatment of some basic concepts and can solve utility maximization and cost minimization problems.
Lecture notesLecture notes, exercises and reference material can be downloaded from Moodle.
LiteratureN. 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.

Complementary:
1. R. Pindyck and D. Rubinfeld (2012), "Microeconomics", 8th edition, Pearson Education.
2. Varian, H.R. (2014), "Intermediate Microeconomics", 9th edition, Norton & Company
363-0511-00LManagerial Economics
Not for MSc students belonging to D-MTEC!
W4 credits3VS. Rausch, V. Hoffmann
AbstractManagerial Economics applies economic theory and methods to business and economic decision-making. Economic ideas related to optimization, the theory of consumer demand, the theory of the firm, industrial organization and decision making under uncertainty are studied using methods of numerical analysis, statistical estimation, game theory and constrained optimization.
ObjectiveThe objective of the course is to provide undergraduate and graduate students in MAVT with an understanding of the use of economic concepts for firm-level management decisions. The course covers a number of models and methods of analysis which are commonly employed in business decisions. The course covers the economic theory of choice, models of oligopoly and industrial organization, applications of game theory to contract design and agency theory, and the theory of decision making under uncertainty focusing specifically on long-term investment decisions. The course will include three lectures by Professor Volker Hoffman focusing on related case-studies in management.
LiteratureMikroökonomie (Pearson Studium - Economic VWL) Gebundene Ausgabe, August 2013, Robert S. Pindyck, Dr. Daniel L. Rubinfeld.
Prerequisites / NoticeThe course acquaints students who have previous not studied economics to economic concepts and quantitative methods which can be used to solve management decision problems.
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