Search result: Catalogue data in Spring Semester 2022
Mechanical Engineering Bachelor  | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
 6. Semester | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Focus Project | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Focus Projects in Mechatronics | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 151-0073-11L | Geranos  Prerequisite: Enrollment for 151-0073-10L Geranos in HS21. | W | 14 credits | 15A | R. Siegwart | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The various objectives of the Focus Project are: - Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester - Team organization, work in teams, increase of interpersonal skills - Independence, initiative, independent learning of new topic contents - Problem structuring, solution identification in indistinct problem definitions, searches of information - System description and simulation - Presentation methods, writing of a document - Ability to make decisions, implementation skills - Workshop and industrial contacts - Learning and recess of special knowledge - Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0073-21L | AITHON Prerequisite: Enrollment for 151-0073-20L AITHON in HS21. | W | 14 credits | 15A | R. Siegwart | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The various objectives of the Focus Project are: - Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester - Team organization, work in teams, increase of interpersonal skills - Independence, initiative, independent learning of new topic contents - Problem structuring, solution identification in indistinct problem definitions, searches of information - System description and simulation - Presentation methods, writing of a document - Ability to make decisions, implementation skills - Workshop and industrial contacts - Learning and recess of special knowledge - Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0073-31L | Guidance, Navigation and Control for Recovery of a Sounding Rocket Prerequisite: Enrollment for 151-0073-30L Guidance, Navigation and Control for Recovery of a Sounding Rocket in HS21. | W | 14 credits | 15A | M. Zeilinger | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The various objectives of the Focus Project are: - Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester - Team organization, work in teams, increase of interpersonal skills - Independence, initiative, independent learning of new topic contents - Problem structuring, solution identification in indistinct problem definitions, searches of information - System description and simulation - Presentation methods, writing of a document - Ability to make decisions, implementation skills - Workshop and industrial contacts - Learning and recess of special knowledge - Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0073-41L | SpaceHopper Prerequisite: Enrollment for 151-0073-40L SpaceHopper in HS21. | W | 14 credits | 15A | M. Hutter | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The various objectives of the Focus Project are: - Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester - Team organization, work in teams, increase of interpersonal skills - Independence, initiative, independent learning of new topic contents - Problem structuring, solution identification in indistinct problem definitions, searches of information - System description and simulation - Presentation methods, writing of a document - Ability to make decisions, implementation skills - Workshop and industrial contacts - Learning and recess of special knowledge - Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Several teams of 4-8 students of the ETH as well as students from other universities realize a product during two semesters. On the basis of a vision and provocative problem definition, all processes of product development are beat down close-to-reality: conception, design, engineering, simulation, draft and production. The teams are coached by experienced staff who gives them the possibility of a unique learning experience. Innovative ideas of the research labs of the ETH, of industrial partners or students are selected and realized by the teams. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0073-51L | RAPTOR - Rapid Aerial Pick-and-Transfer of Objects by Robots Prerequisite: Enrollment for 151-0073-50L RAPTOR - Rapid Aerial Pick-and-Transfer of Objects by Robots in HS21. | W | 14 credits | 15A | R. Katzschmann | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The various objectives of the Focus Project are: - Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester - Team organization, work in teams, increase of interpersonal skills - Independence, initiative, independent learning of new topic contents - Problem structuring, solution identification in indistinct problem definitions, searches of information - System description and simulation - Presentation methods, writing of a document - Ability to make decisions, implementation skills - Workshop and industrial contacts - Learning and recess of special knowledge - Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Several teams of 4-8 students of the ETH as well as students from other universities realize a product during two semesters. On the basis of a vision and provocative problem definition, all processes of product development are beat down close-to-reality: conception, design, engineering, simulation, draft and production. The teams are coached by experienced staff who gives them the possibility of a unique learning experience. Innovative ideas of the research labs of the ETH, of industrial partners or students are selected and realized by the teams. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Focus Projects in Manufacturing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0075-11L | E-Sling RE Prerequisite: Enrollment for 151-0075-10L E-Sling RE in HS21. | W | 14 credits | 15A | K. Wegener | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The various objectives of the Focus Project are: - Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester - Team organization, work in teams, increase of interpersonal skills - Independence, initiative, independent learning of new topic contents - Problem structuring, solution identification in indistinct problem definitions, searches of information - System description and simulation - Presentation methods, writing of a document - Ability to make decisions, implementation skills - Workshop and industrial contacts - Learning and recess of special knowledge - Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0075-21L | Formula Student Prerequisite: Enrollment for 151-0075-20L Formula Student in HS21. | W | 14 credits | 15A | D. Mohr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The various objectives of the Focus Project are: - Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester - Team organization, work in teams, increase of interpersonal skills - Independence, initiative, independent learning of new topic contents - Problem structuring, solution identification in indistinct problem definitions, searches of information - System description and simulation - Presentation methods, writing of a document - Ability to make decisions, implementation skills - Workshop and industrial contacts - Learning and recess of special knowledge - Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0075-31L | Paris Hybrid Prerequisite: Enrollment for 151-0075-30L Paris Hybrid in HS21. | W | 14 credits | 15A | A. Kunz | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The various objectives of the Focus Project are: - Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester - Team organization, work in teams, increase of interpersonal skills - Independence, initiative, independent learning of new topic contents - Problem structuring, solution identification in indistinct problem definitions, searches of information - System description and simulation - Presentation methods, writing of a document - Ability to make decisions, implementation skills - Workshop and industrial contacts - Learning and recess of special knowledge - Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Focus Projects in Energy, Flows and Processes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0076-11L | SOWA (Solar Water) – Drinking Water from Saline and Brackish Water Using Solar Energy Prerequisite: Enrollment for 151-0076-10L SOWA (Solar Water) – Drinking Water from Saline and Brackish Water Using Solar Energy in HS21. | W | 14 credits | 15A | M. Mazzotti | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The various objectives of the Focus Project are: - Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester - Team organization, work in teams, increase of interpersonal skills - Independence, initiative, independent learning of new topic contents - Problem structuring, solution identification in indistinct problem definitions, searches of information - System description and simulation - Presentation methods, writing of a document - Ability to make decisions, implementation skills - Workshop and industrial contacts - Learning and recess of special knowledge - Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Focus Projects in Biomedical Engineering | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0077-11L | VIEshunt Prerequisite: Enrollment for 151-0077-10L VIEshunt in HS21. | W | 14 credits | 15A | M. Meboldt | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The various objectives of the Focus Project are: - Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester - Team organization, work in teams, increase of interpersonal skills - Independence, initiative, independent learning of new topic contents - Problem structuring, solution identification in indistinct problem definitions, searches of information - System description and simulation - Presentation methods, writing of a document - Ability to make decisions, implementation skills - Workshop and industrial contacts - Learning and recess of special knowledge - Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Several teams of 4-8 students of the ETH as well as students from other universities realize a product during two semesters. On the basis of a vision and provocative problem definition, all processes of product development are beat down close-to-reality: conception, design, engineering, simulation, draft and production. The teams are coached by experienced staff who gives them the possibility of a unique learning experience. Innovative ideas of the research labs of the ETH, of industrial partners or students are selected and realized by the teams. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Focus Projects in Design, Mechanics and Materials | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0079-11L | HRC3D - High Resolution 3D Printing of Continuous Fiber Reinforced Composites Prerequisite: Enrollment for 151-0079-10L HRC3D - High Resolution 3D Printing of Continuous Fiber Reinforced Composites in HS21. | W | 14 credits | 15A | P. Ermanni | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The various objectives of the Focus Project are: - Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester - Team organization, work in teams, increase of interpersonal skills - Independence, initiative, independent learning of new topic contents - Problem structuring, solution identification in indistinct problem definitions, searches of information - System description and simulation - Presentation methods, writing of a document - Ability to make decisions, implementation skills - Workshop and industrial contacts - Learning and recess of special knowledge - Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0079-21L | Hybrid Rocket Engine 21 Prerequisite: Enrollment for 151-0079-20L Hybrid Rocket Engine 21 in HS21. | W | 14 credits | 15A | L. Guzzella | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The various objectives of the Focus Project are: - Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester - Team organization, work in teams, increase of interpersonal skills - Independence, initiative, independent learning of new topic contents - Problem structuring, solution identification in indistinct problem definitions, searches of information - System description and simulation - Presentation methods, writing of a document - Ability to make decisions, implementation skills - Workshop and industrial contacts - Learning and recess of special knowledge - Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Several teams of 4-8 students of the ETH as well as students from other universities realize a product during two semesters. On the basis of a vision and provocative problem definition, all processes of product development are beat down close-to-reality: conception, design, engineering, simulation, draft and production. The teams are coached by experienced staff who gives them the possibility of a unique learning experience. Innovative ideas of the research labs of the ETH, of industrial partners or students are selected and realized by the teams. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0079-31L | Swissloop Prerequisite: Enrollment for 151-0079-30L Swissloop in HS21. | W | 14 credits | 15A | D. Kochmann | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The various objectives of the Focus Project are: - Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester - Team organization, work in teams, increase of interpersonal skills - Independence, initiative, independent learning of new topic contents - Problem structuring, solution identification in indistinct problem definitions, searches of information - System description and simulation - Presentation methods, writing of a document - Ability to make decisions, implementation skills - Workshop and industrial contacts - Learning and recess of special knowledge - Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competencies |
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| Courses Eligible for Focus Projects | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0079-99L | Vacuum Transport Seminar: Insights into Hyperloop Research | E- | 0 credits | 1S | D. Kochmann | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The Vacuum Transport Seminar series enters its next round, following the successful prior editions since the spring semester 2020. It is held online via zoom and offered internationally across a number of European Universities. The seminar was founded and is hosted by Swissloop and the EuroTube Foundation, and partnered by other European institutions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Students present their work in Hyperloop research. Additionally, industry experts contribute insight talks. The seminar is open to all students, everyone is welcome to join join at any of the dates. About the seminar’s background: Swissloop, the Hyperloop Team based at ETH Zürich, is pursuing long-term support for research and education in vacuum transport. In addition to the active team constructing and building a Hyperloop pod every year, various research projects at ETH are pursued in cooperation with EuroTube. The EuroTube Foundation accelerates the development of sustainable vacuum transportation technologies to provide publicly accessible research and testing infrastructures for universities and industry. About Vacuum Transportation: The demand for air transport has more than doubled in the last 20 years and is growing yearly by about 6.5%. Global demand for cargo and passenger transportation can barely be met today – let alone in a sustainable manner. Vacuum transport can replace short to medium distance flights and can significantly reduce CO2 emissions. The market of high-speed transportation is a global megatrend set to affect our lives in years to come. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competencies |
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| 151-0662-00L | Programming for Robotics - Introduction to ROS Number of participants limited to 70. This course targets senior Bachelor students as well as Master students focusing on Robotics, Systems, and Control. Priority is given to people conducting a project work in the field. | W | 1 credit | 2G | M. Hutter | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course gives an introduction to the Robot Operating System (ROS) including many of the available tools that are commonly used in robotics. With the help of different examples, the course should provide a good starting point for students to work with robots. They learn how to create software including simulation, to interface sensors and actuators, and to integrate control algorithms. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | - ROS Basics: Navigating in Linux and ROS, package creation and compilation - ROS Basics: Publisher and subscriber, services, actions - Hardware interfaces, static and dynamic transforms - Introduction to GAZEBO simulator, AR tag recognition - (optional) Localization & mapping - (optional) Navigation, ROS control - Good practice in programming | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | This course consists of a guided tutorial and independent exercises with different robots (i.e. mobile robot, industrial robot arm,...). You learn how to setup such a system from scratch using ROS, how to interface the individual sensors and actuators, and finally how to implement first closed loop control systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | slides, homepage (http://www.rsl.ethz.ch/education-students/lectures/ros.html) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | slides, homepage (http://www.rsl.ethz.ch/education-students/lectures/ros.html) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | C++ programming basics, Linux Basics. Students need to bring their own laptop to the lecture. Instructions how to prepare the laptop are provided on the lecture homepage one week prior to the start of the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-3204-00L | Coaching Innovation Projects | W | 2 credits | 2V | I. Goller | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course is building up skills and experience in coaching engineering teams. To gain experience and to reflect real coaching situations, the participants of the course have the role of teaching assistance of the innovation project (151-0300-00L). In this framework the participants coach teams and professionalize the knowledge in the area product development methods. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | - Critical thinking and reasoned judgements - Basic knowledge about role and mindset of a coach - Understanding the challenges of engineering projects and design teams - Development of personal skills to apply and train product development methods - Knowledge and know-how about applying methods - Reflection and exchange of experiences about personal coaching situations - Inspiration and learning from good cases regarding organizational and team management aspects - Decision-making under uncertainty | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Here is the schedule with dates and topics for Live Sessions on Mondays, 16:15-18:00. 21.02.2022: Kick-off & Experience Exchange 28.02.2022: Coaching Role 07.03.2022: Active Listening & Giving and Receiving Feedback 14.03.2022: Coaching Model GROW & Asking Questions 21.03.2022: Hypothesis & Motivation 28.03.2022: Reflection on Individual Coaching Session 1 04.04.2022: Team Building & Psychological Safety 11.04.2022: Facilitating Conflicts 02.05.2022: Reflection on Individual Coaching Sessions 2 09.05.2022: Coaching Individuals 16.05.2022: Reflexivity & Case Review For each live session preparatory material is provided on Moodle, enabling participants to start these sessions well equipped. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Only for participants (Bachelor Students, Master Students) who are teaching assistants in the innovation project). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Focus Specialization | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Energy, Flows and Processes Focus Coordinator: Prof. Christoph Müller In order to achieve the required 20 credit points for the Focus Specialization Energy, Flows and Processes you need to choose at least 2 core courses (W+) (HS/FS) and at least 2 of the elective courses (HS/FS), according to the presentation of the Focus Specialisation (see Link). One course can be selected among all the courses offered by D-MAVT (Bachelors and Masters). | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0206-00L | Energy Systems and Power Engineering | W+ | 4 credits | 2V + 2U | R. S. Abhari, A. Steinfeld | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Introductory first course for the specialization in ENERGY. The course provides an overall view of the energy field and pertinent global problems, reviews some of the thermodynamic basics in energy conversion, and presents the state-of-the-art technology for power generation and fuel processing. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Introductory first course for the specialization in ENERGY. The course provides an overall view of the energy field and pertinent global problems, reviews some of the thermodynamic basics in energy conversion, and presents the state-of-the-art technology for power generation and fuel processing. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | World primary energy resources and use: fossil fuels, renewable energies, nuclear energy; present situation, trends, and future developments. Sustainable energy system and environmental impact of energy conversion and use: energy, economy and society. Electric power and the electricity economy worldwide and in Switzerland; production, consumption, alternatives. The electric power distribution system. Renewable energy and power: available techniques and their potential. Cost of electricity. Conventional power plants and their cycles; state-of-the-art and advanced cycles. Combined cycles and cogeneration; environmental benefits. Solar thermal; concentrated solar power; solar photovoltaics. Fuel cells: characteristics, fuel reforming and combined cycles. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Vorlesungsunterlagen werden verteilt | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0208-00L | Computational Methods for Flow, Heat and Mass Transfer Problems | W+ | 4 credits | 4G | D. W. Meyer-Massetti | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Numerical methods for the solution of flow, heat & mass transfer problems are presented and illustrated by analytical & computer exercises. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Knowledge of and practical experience with discretization and solution methods for computational fluid dynamics and heat and mass transfer problems | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | - Introduction with application examples, steps to a numerical solution - Classification of PDEs, application examples - Finite differences - Finite volumes - Method of weighted residuals, spectral methods, finite elements - Stability analysis, consistency, convergence - Numerical solution methods, linear solvers The learning materials are illustrated with practical examples. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Slides to be completed during the lecture will be handed out. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | References are provided during the lecture. Notes in close agreement with the lecture material are available (in German). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Basic knowledge in fluid dynamics, thermodynamics and programming (lecture: "Models, Algorithms and Data: Introduction to Computing") | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competencies |
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| 151-0928-00L | CO2 Capture and Storage and the Industry of Carbon-Based Resources | W | 4 credits | 3G | M. Mazzotti, A. Bardow, V. Becattini, P. Eckle, N. Gruber, M. Repmann, T. Schmidt, D. Sutter | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course introduces the fundamentals of carbon capture, utilization, and storage and related interdependencies between technosphere, ecosphere, and sociosphere. Topics covered: origin, production, processing, and resource economics of carbon-based resources; climate change in science & policies; CC(U)S systems in power & industrial plants; CO2 transport & storage. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The lecture aims to introduce carbon dioxide capture, utilization, and storage (CCUS) systems, the technical solutions developed so far, and current research questions. This is done in the context of the origin, production, processing, and economics of carbon-based resources and of climate change issues. After this course, students are familiar with relevant technical and non-technical issues related to the use of carbon resources, climate change, and CCUS as a mitigation measure. The class will be structured in 2 hours of lecture and one hour of exercises/discussion. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The transition to a net-zero society is associated with major challenges in all sectors, including energy, transportation, and industry. In the IPCC Special Report on Global Warming of 1.5 °C, rapid emission reduction and negative emission technologies are crucial to limiting global warming to below 1.5 °C. Therefore, this course illuminates carbon capture, utilization, and storage as a potential set of technologies for emission mitigation and for generating negative emissions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Lecture slides and supplementary documents will be available online. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | IPCC Special Report on Global Warming of 1.5°C, 2018. http://www.ipcc.ch/report/sr15/ IPCC AR5 Climate Change 2014: Synthesis Report, 2014. www.ipcc.ch/report/ar5/syr/ IPCC Special Report on Carbon dioxide Capture and Storage, 2005. www.ipcc.ch/activity/srccs/index.htm The Global Status of CCS: 2014. Published by the Global CCS Institute, Nov 2014. http://www.globalccsinstitute.com/publications/global-status-ccs-2014 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | External lecturers from the industry and other institutes will contribute with specialized lectures according to the schedule distributed at the beginning of the semester. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0946-00L | Macromolecular Engineering: Networks and Gels | W | 4 credits | 4G | M. Tibbitt | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course will provide an introduction to the design and physics of soft matter with a focus on polymer networks and hydrogels. The course will integrate fundamental aspects of polymer physics, engineering of soft materials, mechanics of viscoelastic materials, applications of networks and gels in biomedical applications including tissue engineering, 3D printing, and drug delivery. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The main learning objectives of this course are: 1. Identify the key characteristics of soft matter and the properties of ideal and non-ideal macromolecules. 2. Calculate the physical properties of polymers in solution. 3. Predict macroscale properties of polymer networks and gels based on constituent chemical structure and topology. 4. Design networks and gels for industrial and biomedical applications. 5. Read and evaluate research papers on recent research on networks and gels and communicate the content orally to a multidisciplinary audience. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Class notes and handouts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Polymer Physics by M. Rubinstein and R.H. Colby; samplings from other texts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Physics I+II, Thermodynamics I+II | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0966-00L | Introduction to Quantum Mechanics for Engineers | W | 4 credits | 2V + 2U | D. J. Norris | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course provides fundamental knowledge in the principles of quantum mechanics and connects it to applications in engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | To work effectively in many areas of modern engineering, such as renewable energy and nanotechnology, students must possess a basic understanding of quantum mechanics. The aim of this course is to provide this knowledge while making connections to applications of relevancy to engineers. After completing this course, students will understand the basic postulates of quantum mechanics and be able to apply mathematical methods for solving various problems including atoms, molecules, and solids. Additional examples from engineering disciplines will also be integrated. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Fundamentals of Quantum Mechanics - Historical Perspective - Schrödinger Equation - Postulates of Quantum Mechanics - Operators - Harmonic Oscillator - Hydrogen atom - Multielectron Atoms - Crystalline Systems - Spectroscopy - Approximation Methods - Applications in Engineering | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Class Notes and Handouts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Text: David J. Griffiths and Darrell F. Schroeter, Introduction to Quantum Mechanics, 3rd Edition, Cambridge University Press. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Analysis III, Mechanics III, Physics I, Linear Algebra II | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Mechatronics and Robotics Focus Coordinator: Prof. Marco Hutter | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0206-00L | Energy Systems and Power Engineering | W | 4 credits | 2V + 2U | R. S. Abhari, A. Steinfeld | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Introductory first course for the specialization in ENERGY. The course provides an overall view of the energy field and pertinent global problems, reviews some of the thermodynamic basics in energy conversion, and presents the state-of-the-art technology for power generation and fuel processing. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Introductory first course for the specialization in ENERGY. The course provides an overall view of the energy field and pertinent global problems, reviews some of the thermodynamic basics in energy conversion, and presents the state-of-the-art technology for power generation and fuel processing. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | World primary energy resources and use: fossil fuels, renewable energies, nuclear energy; present situation, trends, and future developments. Sustainable energy system and environmental impact of energy conversion and use: energy, economy and society. Electric power and the electricity economy worldwide and in Switzerland; production, consumption, alternatives. The electric power distribution system. Renewable energy and power: available techniques and their potential. Cost of electricity. Conventional power plants and their cycles; state-of-the-art and advanced cycles. Combined cycles and cogeneration; environmental benefits. Solar thermal; concentrated solar power; solar photovoltaics. Fuel cells: characteristics, fuel reforming and combined cycles. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Vorlesungsunterlagen werden verteilt | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0540-00L | Experimental Mechanics | W | 4 credits | 2V + 1U | J. Dual, T. Brack | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | 1. General aspects like transfer functions, vibrations, modal analysis, statistics, digital signal processing, phase locked loop, 2. Optical methods 3. Piezoelectricity 4. Electromagnetic excitation and detection 5. Capacitive Detection | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Understanding, quantitative modelling and practical application of experimental methods for producing and measuring mechanical quantities (motion, deformation, stresses,..) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. General Aspects: Measurement chain, transfer functions, vibrations and waves in continuous systems, modal analysis, statistics, digital signal analysis, phase locked loop. 2. Optical methods ( acousto optic modulation, interferometry, holography, photoelasticity, shadow optics, Moire methods ) 3. Piezoelectric materials: basic equations, applications, accelerometer ) 4. Electomagnetic excitation and detection, 5. Capacitive detection Practical training and homeworks | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Prerequisites: Mechanics I to III, Physics, Elektrotechnik | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0630-00L | Nanorobotics | W | 4 credits | 2V + 1U | S. Pané Vidal | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Nanorobotics is an interdisciplinary field that includes topics from nanotechnology and robotics. The aim of this course is to expose students to the fundamental and essential aspects of this emerging field. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The aim of this course is to expose students to the fundamental and essential aspects of this emerging field. These topics include basic principles of nanorobotics, building parts for nanorobotic systems, powering and locomotion of nanorobots, manipulation, assembly and sensing using nanorobots, molecular motors, and nanorobotics for nanomedicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0640-00L | Studies on Mechatronics The supervising professors can be selected in myStudies during registration of the course. For exceptions please contact the focus coordinator and info@mavt.ethz.ch. This course is not available to incoming exchange students. | W | 5 credits | 11A | Supervisors | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Overview of Mechatronics topics and study subjects. Identification of minimum 10 pertinent refereed articles or works in the literature in consultation with supervisor or instructor. After 4 weeks, submission of a 2-page proposal outlining the value, state-of-the art and study plan based on these articles. After feedback on the substance and technical writing by the instructor, project commences. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The goal of this class is to familiarize the students with this fascinating but rapidly evolving engineering discipline. The students learn to find, read and critically evaluate the pertinent literature and methods through in depth studying, presenting, debating of and writing about selected topics or case studies addressing mechatronics engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Overview of Mechatronics topics and study subjects. Identification of minimum ten pertinent refereed articles or works in the literature in consultation with supervisor orinstructor. After four weeks, submission of a 2-page proposal outlining the value, state-of-the art and study plan based on these articles. After detailed feedback on the substance and technical writing on the proposal by the instructor, project commences. Three to four weeks prior to the end of the semester, a 15 minute oral progress report (presentation) is given by the student that is critiqued by the instructor with detailed comments on substance and effectiveness of lecture and response on questions from audience. At the last day of the semester the student submits a written report that is no longer than 10-pages text following the format of a representative journal article. Throughout the semester the student attends and actively participates in the interactive class lectures given in the form of seminars and debates with active question and answer sessions inviting student and instructor participation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Will be available. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Language: English or German - depending on the lecturer. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0641-00L | Introduction to Robotics and Mechatronics Number of participants limited to 60. Enrollment is only valid through registration on the MSRL website (www.msrl.ethz.ch). Registrations per e-mail is no longer accepted! | W | 4 credits | 2V + 2U | B. Nelson | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The aim of this lecture is to expose students to the fundamentals of mechatronic and robotic systems. Over the course of these lectures, topics will include how to interface a computer with the real world, different types of sensors and their use, different types of actuators and their use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | An ever-increasing number of mechatronic systems are finding their way into our daily lives. Mechatronic systems synergistically combine computer science, electrical engineering, and mechanical engineering. Robotics systems can be viewed as a subset of mechatronics that focuses on sophisticated control of moving devices. The aim of this course is to practically and theoretically expose students to the fundamentals of mechatronic and robotic systems. Over the course of the semester, the lecture topics will include an overview of robotics, an introduction to different types of sensors and their use, the programming of microcontrollers and interfacing these embedded computers with the real world, signal filtering and processing, an introduction to different types of actuators and their use, an overview of computer vision, and forward and inverse kinematics. Throughout the course, students will periodically attend laboratory sessions and implement lessons learned during lectures on real mechatronic systems. By the end of the course, you will be able to independently choose, design and integrate these different building blocks into a working mechatronic system. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The course consists of weekly lectures and lab sessions. The weekly topics are the following: 0. Course Introduction 1. C Programming 2. Sensors 3. Data Acquisition 4. Signal Processing 5. Digital Filtering 6. Actuators 7. Computer Vision and Kinematics 8. Modeling and Control 9. Review and Outlook The lecture schedule can be found on our course page on the MSRL website (www.msrl.ethz.ch) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | The students are expected to be familiar with C programming. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0854-00L | Autonomous Mobile Robots | W | 5 credits | 4G | R. Siegwart, M. Chli, N. Lawrance | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The objective of this course is to provide the basics required to develop autonomous mobile robots and systems. Main emphasis is put on mobile robot locomotion and kinematics, environment perception, and probabilistic environment modeling, localization, mapping and navigation. Theory will be deepened by exercises with small mobile robots and discussed across application examples. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The objective of this course is to provide the basics required to develop autonomous mobile robots and systems. Main emphasis is put on mobile robot locomotion and kinematics, environment perception, and probabilistic environment modeling, localization, mapping and navigation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | This lecture is enhanced by around 30 small videos introducing the core topics, and multiple-choice questions for continuous self-evaluation. It is developed along the TORQUE (Tiny, Open-with-Restrictions courses focused on QUality and Effectiveness) concept, which is ETH's response to the popular MOOC (Massive Open Online Course) concept. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | This lecture is based on the Textbook: Introduction to Autonomous Mobile Robots Roland Siegwart, Illah Nourbakhsh, Davide Scaramuzza, The MIT Press, Second Edition 2011, ISBN: 978-0262015356 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-1224-00L | Oil-Hydraulics and Pneumatics | W | 4 credits | 2V + 2U | J. Lodewyks | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Introduction to the physical and technical basics of oilhydraulic and pneumatic systems and their components as pumps, motors, cylinders and control valves, with emphasis on servo- and proportional techniques and feedback- controlled drives. In parallel an overview on application examples will be given | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The student - can interpret and explain the function of an oilhydraulic or pneumatic system and can create basic circuit concepts - can discribe the architecture and function of needed components and can select and design them to desired properties - can simulate the dynamical behaviour of a servohydraulic cylinder- drive and can design an optimal state-feedback-control with observer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Significans of hydraulic and pneumatic systems, general definitions and typical application examples. Review of important fluid-mechanical principles as compressibility, flow through orifices and friction losses in line-systems. Components of hydraulic and pneumatic systems as pumps, motors, cylinders, control valves for direction, pressure and flow, proportional- and servo-valves, their function and structural composition. Basic circuit concepts of hydraulic and pneumatic control systems. Dynamical behaviour and state-feedback-control of servohydraulic and -pneumatic drives. Exercices Design of a oilhydraulic drive-system Measurement of the flow characteristic of an orifice, a pressure valve and a pump. Simulation and experimental investigation of a state-feedback-controlled servo-cylinder-drive. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Autography Oelhydraulik Skript Zustandsregelung eines Servohydraulischen Zylinderantriebes Skript Elemente einer Druckluftversorgung Skript Modellierung eines Servopneumatischen Zylinderantriebes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 252-0220-00L | Introduction to Machine Learning Limited number of participants. Preference is given to students in programmes in which the course is being offered. All other students will be waitlisted. Please do not contact Prof. Krause for any questions in this regard. If necessary, please contact studiensekretariat@inf.ethz.ch | W | 8 credits | 4V + 2U + 1A | A. Krause, F. Yang | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course introduces the foundations of learning and making predictions based on data. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The course will introduce the foundations of learning and making predictions from data. We will study basic concepts such as trading goodness of fit and model complexitiy. We will discuss important machine learning algorithms used in practice, and provide hands-on experience in a course project. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | - Linear regression (overfitting, cross-validation/bootstrap, model selection, regularization, [stochastic] gradient descent) - Linear classification: Logistic regression (feature selection, sparsity, multi-class) - Kernels and the kernel trick (Properties of kernels; applications to linear and logistic regression); k-nearest neighbor - Neural networks (backpropagation, regularization, convolutional neural networks) - Unsupervised learning (k-means, PCA, neural network autoencoders) - The statistical perspective (regularization as prior; loss as likelihood; learning as MAP inference) - Statistical decision theory (decision making based on statistical models and utility functions) - Discriminative vs. generative modeling (benefits and challenges in modeling joint vy. conditional distributions) - Bayes' classifiers (Naive Bayes, Gaussian Bayes; MLE) - Bayesian approaches to unsupervised learning (Gaussian mixtures, EM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Textbook: Kevin Murphy, Machine Learning: A Probabilistic Perspective, MIT Press | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Designed to provide a basis for following courses: - Advanced Machine Learning - Deep Learning - Probabilistic Artificial Intelligence - Seminar "Advanced Topics in Machine Learning" | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0518-10L | Design and Control of Electric Machines | W | 6 credits | 4G | D. Bortis | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course covers modeling and control concepts of modern drive systems and provides a deeper understanding of the dynamic operation of electric machines. Different aspects arising in the design of electric drive systems are investigated. The exercises are used to consolidate the concepts discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The objective of this course is to convey knowledge on control strategies of different types of electric machines and on design principles of variable speed drive systems. A dynamic modeling of the electromechanical system is investigated, enabling the proper design of cascaded speed, torque/current controllers. Further objectives are the identification of machine parameters and a short insight into basic inverter circuits applied in advanced motor drive systems. Exercises are used to consolidate the presented theoretical concepts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. Introduction to variable speed motor drive systems consisting of: - Electromechanical system - Power electronic system - Control system - Measurement system 2. Control structures and strategies of DC Machine/Synchronous machine/Asynchronous machine/Brushless DC machine. - Cascaded control - U/f Control - Slip Control - Field-oriented control 3. Dynamic Operation of electric machines - Dynamic modeling of electromechanical system - Controller types and design - Current/torque control - Speed control (Voltage control / Flux weakening) 4. Power electronic inverter circuits in variable speed drive systems - Voltage and current source inverter systems - Basic operation and pulse width modulation 5. Identification of machine parameters 6. Design principles of variable speed motor drives systems | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Lecture notes and associated exercises including correct answers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Prerequisites: Fundamentals of Electric Machines | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Microsystems and Nanoscale Engineering Focus Coordinator: Prof. Christofer Hierold | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0643-00L | Studies on Micro and Nano Systems This course is not available to incoming exchange students. | W+ | 5 credits | 11A | Supervisors | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The students get familiarized with the challenges of the fascinating and interdisciplinary field of Micro- and Nanosystems. They are introduced to the basics of independent non-experimental scientific research and are able to summarize and to present the results efficiently. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The students get familiarized with the challenges of the fascinating and interdisciplinary field of Micro- and Nanosystems. They are introduced to the basics of independent non-experimental scientific research and are able to summarize and to present the results efficiently. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Students work independently on a study of selected topics in the field of Micro- and Nanosystems. They start with a selection of scientific papers, and continue with an independent iterature research. The results (e.g. state-of-the-art, methods) are evaluated with respect to predefined criteria. Then the results are presented in an oral presentation and summarized in a report, which takes the discussion of the presentation into account. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Literature will be provided | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0060-00L | Thermodynamics and Transport Phenomena in Nanotechnology | W | 4 credits | 2V + 2U | T. M. Schutzius, D. Taylor | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The lecture deals with thermodynamics and transport phenomena in nano- and microscale systems. Typical areas of applications are microelectronics manufacturing and cooling, manufacturing of novel materials and coatings, surface technologies, wetting phenomena and related technologies, and micro- and nanosystems and devices. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The student will acquire fundamental knowledge of interfacial and micro-nanoscale thermofluidics including electric field and light interaction with surfaces. Furthermore, the student will be exposed to a host of applications ranging from superhydrophobic surfaces and microelectronics cooling to solar energy, all of which will be discussed in the context of the course. The student will also judge state-of-the-art scientific research in these areas. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Thermodynamic aspects of intermolecular forces; Interfacial phenomena; Surface tension; Wettability and contact angle; Wettability of Micro/Nanoscale textured surfaces: superhydrophobicity and superhydrophilicity. Physics of micro- and nanofluidics as well as heat and mass transport phenomena at the nanoscale. Scientific communication and exposure to state-of-the-art scientific research in the areas of Nanotechnology and the Water-Energy Nexus. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0172-00L | Microsystems II: Devices and Applications | W | 6 credits | 3V + 3U | C. Hierold, C. I. Roman | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The students are introduced to the fundamentals and physics of microelectronic devices as well as to microsystems in general (MEMS). They will be able to apply this knowledge for system research and development and to assess and apply principles, concepts and methods from a broad range of technical and scientific disciplines for innovative products. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The students are introduced to the fundamentals and physics of microelectronic devices as well as to microsystems in general (MEMS), basic electronic circuits for sensors, RF-MEMS, chemical microsystems, BioMEMS and microfluidics, magnetic sensors and optical devices, and in particular to the concepts of Nanosystems (focus on carbon nanotubes), based on the respective state-of-research in the field. They will be able to apply this knowledge for system research and development and to assess and apply principles, concepts and methods from a broad range of technical and scientific disciplines for innovative products. During the weekly 3 hour module on Mondays dedicated to Übungen the students will learn the basics of Comsol Multiphysics and utilize this software to simulate MEMS devices to understand their operation more deeply and optimize their designs. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Transducer fundamentals and test structures Pressure sensors and accelerometers Resonators and gyroscopes RF MEMS Acoustic transducers and energy harvesters Thermal transducers and energy harvesters Optical and magnetic transducers Chemical sensors and biosensors, microfluidics and bioMEMS Nanosystem concepts Basic electronic circuits for sensors and microsystems | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Handouts (on-line) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0540-00L | Experimental Mechanics | W | 4 credits | 2V + 1U | J. Dual, T. Brack | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | 1. General aspects like transfer functions, vibrations, modal analysis, statistics, digital signal processing, phase locked loop, 2. Optical methods 3. Piezoelectricity 4. Electromagnetic excitation and detection 5. Capacitive Detection | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Understanding, quantitative modelling and practical application of experimental methods for producing and measuring mechanical quantities (motion, deformation, stresses,..) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. General Aspects: Measurement chain, transfer functions, vibrations and waves in continuous systems, modal analysis, statistics, digital signal analysis, phase locked loop. 2. Optical methods ( acousto optic modulation, interferometry, holography, photoelasticity, shadow optics, Moire methods ) 3. Piezoelectric materials: basic equations, applications, accelerometer ) 4. Electomagnetic excitation and detection, 5. Capacitive detection Practical training and homeworks | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Prerequisites: Mechanics I to III, Physics, Elektrotechnik | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0622-00L | Measuring on the Nanometer Scale | W | 2 credits | 2G | A. Stemmer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Introduction to theory and practical application of measuring techniques suitable for the nano domain. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Introduction to theory and practical application of measuring techniques suitable for the nano domain. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Conventional techniques to analyze nano structures using photons and electrons: light microscopy with dark field and differential interference contrast; scanning electron microscopy, transmission electron microscopy. Interferometric and other techniques to measure distances. Optical traps. Foundations of scanning probe microscopy: tunneling, atomic force, optical near-field. Interactions between specimen and probe. Current trends, including spectroscopy of material parameters. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Slides and recordings available via Moodle (registered participants only). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0630-00L | Nanorobotics | W | 4 credits | 2V + 1U | S. Pané Vidal | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Nanorobotics is an interdisciplinary field that includes topics from nanotechnology and robotics. The aim of this course is to expose students to the fundamental and essential aspects of this emerging field. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The aim of this course is to expose students to the fundamental and essential aspects of this emerging field. These topics include basic principles of nanorobotics, building parts for nanorobotic systems, powering and locomotion of nanorobots, manipulation, assembly and sensing using nanorobots, molecular motors, and nanorobotics for nanomedicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0946-00L | Macromolecular Engineering: Networks and Gels | W | 4 credits | 4G | M. Tibbitt | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course will provide an introduction to the design and physics of soft matter with a focus on polymer networks and hydrogels. The course will integrate fundamental aspects of polymer physics, engineering of soft materials, mechanics of viscoelastic materials, applications of networks and gels in biomedical applications including tissue engineering, 3D printing, and drug delivery. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The main learning objectives of this course are: 1. Identify the key characteristics of soft matter and the properties of ideal and non-ideal macromolecules. 2. Calculate the physical properties of polymers in solution. 3. Predict macroscale properties of polymer networks and gels based on constituent chemical structure and topology. 4. Design networks and gels for industrial and biomedical applications. 5. Read and evaluate research papers on recent research on networks and gels and communicate the content orally to a multidisciplinary audience. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Class notes and handouts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Polymer Physics by M. Rubinstein and R.H. Colby; samplings from other texts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Physics I+II, Thermodynamics I+II | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0966-00L | Introduction to Quantum Mechanics for Engineers | W | 4 credits | 2V + 2U | D. J. Norris | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course provides fundamental knowledge in the principles of quantum mechanics and connects it to applications in engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | To work effectively in many areas of modern engineering, such as renewable energy and nanotechnology, students must possess a basic understanding of quantum mechanics. The aim of this course is to provide this knowledge while making connections to applications of relevancy to engineers. After completing this course, students will understand the basic postulates of quantum mechanics and be able to apply mathematical methods for solving various problems including atoms, molecules, and solids. Additional examples from engineering disciplines will also be integrated. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Fundamentals of Quantum Mechanics - Historical Perspective - Schrödinger Equation - Postulates of Quantum Mechanics - Operators - Harmonic Oscillator - Hydrogen atom - Multielectron Atoms - Crystalline Systems - Spectroscopy - Approximation Methods - Applications in Engineering | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Class Notes and Handouts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Text: David J. Griffiths and Darrell F. Schroeter, Introduction to Quantum Mechanics, 3rd Edition, Cambridge University Press. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Analysis III, Mechanics III, Physics I, Linear Algebra II | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0135-00L | Additional Case for the Focus Specialization Exclusive for D-MAVT Bachelor's students in Focus Specialization. For enrollment, please contact the D-MAVT Student Administration. | W | 1 credit | 2A | Professors | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Independent studies on a defined field within the selected Focus Specialization. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Independent studies on a defined field within the selected Focus Specialization. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Manufacturing Science Focus Coordinator: Prof. Konrad Wegener To achieve the required 20 credit points for the focus specialization you need to pass all 3 compulsory courses (HS/FS). The other 8 credit points can be achieved from the elective courses. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0720-00L | Production Machines I | O | 4 credits | 4G | K. Wegener, S. Weikert | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | First part of the lecture on production machines. Introduction to the special features of production machines on the basis of metal cutting and forming machine tools. Dimensioning and design, as well as specific functional components. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Elaboration of the special requirements on the machine tools, such as precision, dynamics, long-life and their realisation. Development and respectively assortment of the most important components. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Basics of the machine tool design, Six-point principal is shown. Components of machine tools (foundations, frames, bearings, guides, measuring systems, drives and their control) and their types of machine designs. Terminology, classification and quality characteristics. Special components and selected types of forming machines and there design and dimensioning. Insight into safety of machinery and automation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0306-00L | Visualization, Simulation and Interaction - Virtual Reality I | W+ | 4 credits | 4G | A. Kunz | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Technology of Virtual Reality. Human factors, Creation of virtual worlds, Lighting models, Display- and acoustic- systems, Tracking, Haptic/tactile interaction, Motion platforms, Virtual prototypes, Data exchange, VR Complete systems, Augmented reality, Collaboration systems; VR and Design; Implementation of the VR in the industry; Human Computer Interfaces (HCI). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The product development process in the future will be characterized by the Digital Product which is the center point for concurrent engineering with teams spreas worldwide. Visualization and simulation of complex products including their physical behaviour at an early stage of development will be relevant in future. The lecture will give an overview to techniques for virtual reality, to their ability to visualize and to simulate objects. It will be shown how virtual reality is already used in the product development process. • Students are able to evaluate and select the most appropriate VR technology for a given task regarding: o Visualization technologies displays/projection systems/head-mounted displays o Tracking systems (inertia/optical/electromagnetic) o Interaction technologies (sensing gloves/real walking/eye tracking/touch/etc.) • Students are able to develop a VR application • Students are able to apply VR to industrial needs • Students will be able to apply the gained knowledge to a practical realization • Students will be able to compare different operation principles (VR/AR/MR/XR) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Introduction to the world of virtual reality; development of new VR-techniques; introduction to 3D-computergraphics; modelling; physical based simulation; human factors; human interaction; equipment for virtual reality; display technologies; tracking systems; data gloves; interaction in virtual environment; navigation; collision detection; haptic and tactile interaction; rendering; VR-systems; VR-applications in industry, virtual mockup; data exchange, augmented reality. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | A complete version of the handout is also available in English. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Voraussetzungen: keine Vorlesung geeignet für D-MAVT, D-ITET, D-MTEC und D-INF Testat/ Kredit-Bedingungen/ Prüfung: –Teilnahme an Vorlesung und Kolloquien –Erfolgreiche Durchführung von Übungen in Teams | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0718-00L | Metrology for Production - Metrology of Workpieces | W+ | 4 credits | 2V + 2U | A. Günther | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course "Metrology of workpieces" deals with definition and measurement of errors in size, location, form and roughness of workpieces, with typical measuring instruments and their measurement uncertainties, including coordinate measuring machines and vision systems, QS according to ISO 9001, statistical process control, as well as with the thermal influences on geometrical measurements. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Knowledge of - basics of geometrical metrology - evaluation of size, location, form and roughness of workpieces - typical measuring instruments and their measurement uncertainties - coordinate metrology - vision systems - quality assurance system according to ISO 9001 - statistical process control - application in the manufacturing process and for the evaluation of machine tool capability | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Metrology for production - metrology of workpieces - basics, like kinematic mounting - definition and evaluation of size, location, form, roughness - thermal influences on size, location, form - measurement uncertainty - coordinate metrology and 3D coordinate measuring machines - areal form testing (vision systems) - quality assurance system according to ISO 9001 - statistical process control - metrology in the manufacturing process - statistical process control, process and machine tool capability | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Documents are provided during the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Exercises in the laboratories and with the measuring instruments of the institute for machine tools and manufacturing (IWF) provide the practical background for this course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0740-00L | Metal Additive Manufacturing – Fundamentals and Process Technology | W+ | 4 credits | 2V + 2U | M. Bambach, L. Deillon, M. R. Tucker | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This lecture gives an introduction to the fundamentals and process technology of additive manufacturing processes with a focus on metals. The principles and technologies of laser powder bed fusion, directed energy deposition as well as sintering processes will be introduced. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The students will learn - the physics of the most important metal additive manufacturing processes including the interaction of energy sources (laser, electron beams, arc/plasma) and metals, the phenomena occurring during melting and solidification, the generation of stresses and defects - the capabilities and limits of these processes - the digital aspects of the process chains including preparation of geometries, slicing, hatching etc. including assessment of printability of a design - working principles of machines, equipment and technology - basics of sensors and process control - post processing steps and interaction with AM material - future trends in metal AM | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Synopsis 1. Introduction / motivation 2. From fusion welding to AM (Basics of fusion welding, moving heat sources, melt pool dynamics, solidification of weld beads, part properties) 3. Wire-arc Additive Manufacturing (Process technology, Digital process chain: Slicing and process definition, Overlapping weld beads, Sensors and control, materials for WAAM) 4. Laser-based metal additive manufacturing I – Basics of laser technology (Laser principles, Gaussian beams and beam quality, Inteaction laser-material / laser-plasma) 5. Laser-based metal additive manufacturing II – Laser powder bed fusion (Process technology, digital process chain, parameters and properties, support structures, process control, applications & trends) 6. Laser-based metal additive manufacturing III – Laser-based directed Energy deposition (Process technology, digital process chain, Sensors & control, materials, applications & trends) 7. Electron beam based AM (Process technology, b. Interaction electron beams – matter, sensors & control, materials, applications & trends) 8. Binder Jetting / Sintering based AM (Process technology, Sinter theory, compensation of shrinkage, applications) 9. Post-processing (removal of supports, hot isostatic pressing, Machining / Finishing) 10. Materials for AM (Alloy systems for AM, Production and quality of powder, Computational materials design) 11. Future trends (Multi-material AM, Hybrid AM processes, ...) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | The lecture slides will be distributed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | A list of references be given in the lecture. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Werkstoffe und Fertigung or a similar course | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0802-00L | Automation Technology | W+ | 4 credits | 2V + 1U | H. G. Wild, K. Wegener | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The automation of production lines will be dealt as interdisciplinary topic. The course contains: - elementary elements of automatized systems - Chain of action: sensors, signalisation, control and closed loop control, power electronics, actors - Conception, description, computation, layout, design and simulation - Availability and reliability - Modern concepts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The students shall acquire knowledge for projection and realization of highly automatized production systems. They will be trained to understand, overview and supervise the whole value chain from the definition of task the specification tender, conception and projection, the detailed design and startup. They shall know and be able to evaluate the solution possibilities, and the concepts in research and development. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Highly developed industrialized nations are necessarily bound to automatization of manufacturing processes for their competitiveness. Conception, realization, startup and run in of automatized production lines, "to make them alive", is one of the most exciting businesses in engineering. For the layout of automatized systems mechatronic design is of greatest importance to achieve optimal and overall supreme solutions. The course focuses on the interdisciplinary solution space, spanned by mechanical engineering, process technology, electronics and electrical engineering, information technology and more and more optics. subsystems , the information and optical subsystems. The complete processing chain, from sensing to action, sensors, signalization, control and closed loop control, power electronics and actors is discussed. Basic elements, sensors and actors, transmitting from mechanics to electronics and vice versa, as well as control systems and interfaces and bus systems are presented. In production technology these are applied in the different automation devices and then condensed to full production lines. Different concepts for automation, layout planning, description and simulation and the interface to and safety of humans are topics. The economic boundary conditions are taken into account and lead to concepts for availability and reliability of complex systems and to the discussion of today's research concepts for fault tolerancing systems, to autodiagnosis and self repair, cognitive systems and agent systems. In theoretical and experimental exercises the students can gain experience, that qualify them for the conception, computation and startup of automatized systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Manuscripts are distributed per chapter | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0840-00L | Optimization and Machine Learning Note: previous course title until FS20 "Principles of FEM-Based Optimization and Robustness Analysis". | W+ | 4 credits | 2V + 2U | B. Berisha, D. Mohr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course teaches the basics of nonlinear optimization and concepts of machine learning. An introduction to the finite element method allows an extension of the application area to real engineering problems such as structural optimization and modeling of material behavior on different length scales. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Students will learn mathematical optimization methods including gradient based and gradient free methods as well as established algorithms in the context of machine learning to solve real engineering problems, which are generally non-linear in nature. Strategies to ensure efficient training of machine learning models based on large data sets define another teaching goal of the course. Optimization tools (MATLAB, LS-Opt, Python) and the finite element program ABAQUS are presented to solve both general and real engineering problems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | - Introduction into Nonlinear Optimization - Design of Experiments DoE - Introduction into Nonlinear Finite Element Analysis - Optimization based on Meta Modeling Techniques - Shape and Topology Optimization - Robustness and Sensitivity Analysis - Fundamentals of Machine Learning - Generalized methods for regression and classification, Neural Networks, Support Vector machines - Supervised and unsupervised learning | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Lecture slides and literature | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0304-00L | Engineering Design II | W | 4 credits | 4G | K. Wegener | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Dimensioning (strength calculation) of machine parts, shaft - hub - connections, welded and brazed joints, springs, screws, roller and slide bearings, transmissions, gears, clutch and brake as well as their practical applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The students extend in that course their knowledge on the correct application of machine parts and machine elements including dimensioning. Focus is laid on the acquisition of competency to solve technical problems and judge technical solutions and to correctly apply their knowledge according to operation conditions, functionality and strength calculations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Machine parts as shaft - hub - connections, welded and brazed joints, springs, screws, roller and slide bearings, transmissions, gears, clutch and brake are discussed. The course covers for all the machine elements their functionality, their application and limits of applicability and the dimensioning is as well as their practical applications. Exercises show the solution of practical problems. Partly practical problems are solved by the students for their own. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Script exists. Price: SFr. 40.- | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Prerequisites: Basics in design and product development Dimensioning 1 Credit-conditions / examination: Partly practical problems are solved by the students for their own. The examination will be in the following examination session. Credits are given after passing the examination. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0515-00L | Continuum Mechanics 2 | W | 4 credits | 2V + 1U | E. Mazza, R. M. Hopf | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | An introduction to finite deformation continuum mechanics and nonlinear material behavior. Coverage of basic tensor- manipulations and calculus, descriptions of kinematics, and balance laws . Discussion of invariance principles and mechanical response functions for elastic materials. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | To provide a modern introduction to the foundations of continuum mechanics and prepare students for further studies in solid mechanics and related disciplines. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. Tensors: algebra, linear operators 2. Tensors: calculus 3. Kinematics: motion, gradient, polar decomposition 4. Kinematics: strain 5. Kinematics: rates 6. Global Balance: mass, momentum 7. Stress: Cauchy's theorem 8. Stress: alternative measures 9. Invariance: observer 10. Material Response: elasticity | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | None. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Recommended texts: (1) Nonlinear solid mechanics, G.A. Holzapfel (2000). (2) An introduction to continuum mechanics, M.B. Rubin (2003). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0540-00L | Experimental Mechanics | W | 4 credits | 2V + 1U | J. Dual, T. Brack | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | 1. General aspects like transfer functions, vibrations, modal analysis, statistics, digital signal processing, phase locked loop, 2. Optical methods 3. Piezoelectricity 4. Electromagnetic excitation and detection 5. Capacitive Detection | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Understanding, quantitative modelling and practical application of experimental methods for producing and measuring mechanical quantities (motion, deformation, stresses,..) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. General Aspects: Measurement chain, transfer functions, vibrations and waves in continuous systems, modal analysis, statistics, digital signal analysis, phase locked loop. 2. Optical methods ( acousto optic modulation, interferometry, holography, photoelasticity, shadow optics, Moire methods ) 3. Piezoelectric materials: basic equations, applications, accelerometer ) 4. Electomagnetic excitation and detection, 5. Capacitive detection Practical training and homeworks | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Prerequisites: Mechanics I to III, Physics, Elektrotechnik | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0630-00L | Nanorobotics | W | 4 credits | 2V + 1U | S. Pané Vidal | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Nanorobotics is an interdisciplinary field that includes topics from nanotechnology and robotics. The aim of this course is to expose students to the fundamental and essential aspects of this emerging field. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The aim of this course is to expose students to the fundamental and essential aspects of this emerging field. These topics include basic principles of nanorobotics, building parts for nanorobotic systems, powering and locomotion of nanorobots, manipulation, assembly and sensing using nanorobots, molecular motors, and nanorobotics for nanomedicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0641-00L | Introduction to Robotics and Mechatronics Number of participants limited to 60. Enrollment is only valid through registration on the MSRL website (www.msrl.ethz.ch). Registrations per e-mail is no longer accepted! | W | 4 credits | 2V + 2U | B. Nelson | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The aim of this lecture is to expose students to the fundamentals of mechatronic and robotic systems. Over the course of these lectures, topics will include how to interface a computer with the real world, different types of sensors and their use, different types of actuators and their use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | An ever-increasing number of mechatronic systems are finding their way into our daily lives. Mechatronic systems synergistically combine computer science, electrical engineering, and mechanical engineering. Robotics systems can be viewed as a subset of mechatronics that focuses on sophisticated control of moving devices. The aim of this course is to practically and theoretically expose students to the fundamentals of mechatronic and robotic systems. Over the course of the semester, the lecture topics will include an overview of robotics, an introduction to different types of sensors and their use, the programming of microcontrollers and interfacing these embedded computers with the real world, signal filtering and processing, an introduction to different types of actuators and their use, an overview of computer vision, and forward and inverse kinematics. Throughout the course, students will periodically attend laboratory sessions and implement lessons learned during lectures on real mechatronic systems. By the end of the course, you will be able to independently choose, design and integrate these different building blocks into a working mechatronic system. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The course consists of weekly lectures and lab sessions. The weekly topics are the following: 0. Course Introduction 1. C Programming 2. Sensors 3. Data Acquisition 4. Signal Processing 5. Digital Filtering 6. Actuators 7. Computer Vision and Kinematics 8. Modeling and Control 9. Review and Outlook The lecture schedule can be found on our course page on the MSRL website (www.msrl.ethz.ch) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | The students are expected to be familiar with C programming. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-1224-00L | Oil-Hydraulics and Pneumatics | W | 4 credits | 2V + 2U | J. Lodewyks | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Introduction to the physical and technical basics of oilhydraulic and pneumatic systems and their components as pumps, motors, cylinders and control valves, with emphasis on servo- and proportional techniques and feedback- controlled drives. In parallel an overview on application examples will be given | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The student - can interpret and explain the function of an oilhydraulic or pneumatic system and can create basic circuit concepts - can discribe the architecture and function of needed components and can select and design them to desired properties - can simulate the dynamical behaviour of a servohydraulic cylinder- drive and can design an optimal state-feedback-control with observer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Significans of hydraulic and pneumatic systems, general definitions and typical application examples. Review of important fluid-mechanical principles as compressibility, flow through orifices and friction losses in line-systems. Components of hydraulic and pneumatic systems as pumps, motors, cylinders, control valves for direction, pressure and flow, proportional- and servo-valves, their function and structural composition. Basic circuit concepts of hydraulic and pneumatic control systems. Dynamical behaviour and state-feedback-control of servohydraulic and -pneumatic drives. Exercices Design of a oilhydraulic drive-system Measurement of the flow characteristic of an orifice, a pressure valve and a pump. Simulation and experimental investigation of a state-feedback-controlled servo-cylinder-drive. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Autography Oelhydraulik Skript Zustandsregelung eines Servohydraulischen Zylinderantriebes Skript Elemente einer Druckluftversorgung Skript Modellierung eines Servopneumatischen Zylinderantriebes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Engineering for Health Focus Coordinator: Prof. Bradley Nelson | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0515-00L | Continuum Mechanics 2 | W | 4 credits | 2V + 1U | E. Mazza, R. M. Hopf | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | An introduction to finite deformation continuum mechanics and nonlinear material behavior. Coverage of basic tensor- manipulations and calculus, descriptions of kinematics, and balance laws . Discussion of invariance principles and mechanical response functions for elastic materials. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | To provide a modern introduction to the foundations of continuum mechanics and prepare students for further studies in solid mechanics and related disciplines. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. Tensors: algebra, linear operators 2. Tensors: calculus 3. Kinematics: motion, gradient, polar decomposition 4. Kinematics: strain 5. Kinematics: rates 6. Global Balance: mass, momentum 7. Stress: Cauchy's theorem 8. Stress: alternative measures 9. Invariance: observer 10. Material Response: elasticity | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | None. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Recommended texts: (1) Nonlinear solid mechanics, G.A. Holzapfel (2000). (2) An introduction to continuum mechanics, M.B. Rubin (2003). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0540-00L | Experimental Mechanics | W | 4 credits | 2V + 1U | J. Dual, T. Brack | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | 1. General aspects like transfer functions, vibrations, modal analysis, statistics, digital signal processing, phase locked loop, 2. Optical methods 3. Piezoelectricity 4. Electromagnetic excitation and detection 5. Capacitive Detection | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Understanding, quantitative modelling and practical application of experimental methods for producing and measuring mechanical quantities (motion, deformation, stresses,..) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. General Aspects: Measurement chain, transfer functions, vibrations and waves in continuous systems, modal analysis, statistics, digital signal analysis, phase locked loop. 2. Optical methods ( acousto optic modulation, interferometry, holography, photoelasticity, shadow optics, Moire methods ) 3. Piezoelectric materials: basic equations, applications, accelerometer ) 4. Electomagnetic excitation and detection, 5. Capacitive detection Practical training and homeworks | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Prerequisites: Mechanics I to III, Physics, Elektrotechnik | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0630-00L | Nanorobotics | W | 4 credits | 2V + 1U | S. Pané Vidal | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Nanorobotics is an interdisciplinary field that includes topics from nanotechnology and robotics. The aim of this course is to expose students to the fundamental and essential aspects of this emerging field. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The aim of this course is to expose students to the fundamental and essential aspects of this emerging field. These topics include basic principles of nanorobotics, building parts for nanorobotic systems, powering and locomotion of nanorobots, manipulation, assembly and sensing using nanorobots, molecular motors, and nanorobotics for nanomedicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0641-00L | Introduction to Robotics and Mechatronics Number of participants limited to 60. Enrollment is only valid through registration on the MSRL website (www.msrl.ethz.ch). Registrations per e-mail is no longer accepted! | W | 4 credits | 2V + 2U | B. Nelson | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The aim of this lecture is to expose students to the fundamentals of mechatronic and robotic systems. Over the course of these lectures, topics will include how to interface a computer with the real world, different types of sensors and their use, different types of actuators and their use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | An ever-increasing number of mechatronic systems are finding their way into our daily lives. Mechatronic systems synergistically combine computer science, electrical engineering, and mechanical engineering. Robotics systems can be viewed as a subset of mechatronics that focuses on sophisticated control of moving devices. The aim of this course is to practically and theoretically expose students to the fundamentals of mechatronic and robotic systems. Over the course of the semester, the lecture topics will include an overview of robotics, an introduction to different types of sensors and their use, the programming of microcontrollers and interfacing these embedded computers with the real world, signal filtering and processing, an introduction to different types of actuators and their use, an overview of computer vision, and forward and inverse kinematics. Throughout the course, students will periodically attend laboratory sessions and implement lessons learned during lectures on real mechatronic systems. By the end of the course, you will be able to independently choose, design and integrate these different building blocks into a working mechatronic system. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The course consists of weekly lectures and lab sessions. The weekly topics are the following: 0. Course Introduction 1. C Programming 2. Sensors 3. Data Acquisition 4. Signal Processing 5. Digital Filtering 6. Actuators 7. Computer Vision and Kinematics 8. Modeling and Control 9. Review and Outlook The lecture schedule can be found on our course page on the MSRL website (www.msrl.ethz.ch) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | The students are expected to be familiar with C programming. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0946-00L | Macromolecular Engineering: Networks and Gels | W | 4 credits | 4G | M. Tibbitt | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course will provide an introduction to the design and physics of soft matter with a focus on polymer networks and hydrogels. The course will integrate fundamental aspects of polymer physics, engineering of soft materials, mechanics of viscoelastic materials, applications of networks and gels in biomedical applications including tissue engineering, 3D printing, and drug delivery. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The main learning objectives of this course are: 1. Identify the key characteristics of soft matter and the properties of ideal and non-ideal macromolecules. 2. Calculate the physical properties of polymers in solution. 3. Predict macroscale properties of polymer networks and gels based on constituent chemical structure and topology. 4. Design networks and gels for industrial and biomedical applications. 5. Read and evaluate research papers on recent research on networks and gels and communicate the content orally to a multidisciplinary audience. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Class notes and handouts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Polymer Physics by M. Rubinstein and R.H. Colby; samplings from other texts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Physics I+II, Thermodynamics I+II | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0980-00L | Biofluiddynamics | W | 4 credits | 2V + 1U | D. Obrist, P. Jenny | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Introduction to the fluid dynamics of the human body and the modeling of physiological flow processes (biomedical fluid dynamics). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | A basic understanding of fluid dynamical processes in the human body. Knowledge of the basic concepts of fluid dynamics and the ability to apply these concepts appropriately. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | This lecture is an introduction to the fluid dynamics of the human body (biomedical fluid dynamics). For selected topics of human physiology, we introduce fundamental concepts of fluid dynamics (e.g., creeping flow, incompressible flow, flow in porous media, flow with particles, fluid-structure interaction) and use them to model physiological flow processes. The list of studied topics includes the cardiovascular system and related diseases, blood rheology, microcirculation, respiratory fluid dynamics and fluid dynamics of the inner ear. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Lecture notes are provided electronically. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | A list of books on selected topics of biofluiddynamics can be found on the course web page. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-8102-00L | Research Beyond the Lab: Open Science and Research Methods for a Global Engineer | W | 4 credits | 3G | E. Tilley, L. Schöbitz | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | From the proverbial 'field' to the heart of Zurich, engineering research is guided by the same fundamental principles. With the goal to improve the human condition with technology, we designed this course to teach learners how to conduct a research project out of the lab, and apply open science principles to their data analysis projects. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | By the end of the course, learners will be able to: • articulate a foundational understanding of 'research' • identify and implement an appropriate research paradigm for a given study • identify the importance of, and challenges related to research ethics • create a SMART research question • articulate appropriate research aims and objectives for specific questions • create survey questions using a variety of question types and understand the limitations and uses for each type of survey question • apply 12 principles for data organisation in spreadsheets in the layout of a collected dataset • clone a repository from GitHub into the RStudio Cloud and can use the RStudio IDE to commit and push changes to GitHub • create a repository on GitHub and start a new R Project using the RStudio IDE in the RStudio Cloud • can use three different ways of getting support in solving coding problems online • can apply 10 functions from the dplyr R Package to generate a subset of data for use in a table or plot • use GitHub to publish their Course project report as a website • can use exported references from Zotero in Better BibTex Format to generate an automated reference list • cross-reference figures and tables within an R Markdown file | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Over the course of the semester, students will develop a research project and learn the necessary qualitative and quantitative methods required to collect data from people. We will use tidyverse R packages to work with data, and git and GitHub as tools for version control and collaboration. By the end of the course, students will have a complete overview of how a typical field-based research project is designed, implemented and communicated. Content will be delivered through lectures and tutorials. The success of the course will depend on the student's own willingness to engage with local challenges, stakeholders, citizens and agencies in order to develop a comprehensive body of work that answers a relevant, local problem. Topics covered include: • Theory and foundations of field-based Research • Research Ethics: your role as a researcher, data privacy, ethical approval processes • Qualitative and Quantitative research methods • Research Design and implications for analysis • Data Collection using digital tools • Version control and collaboration with git and GitHub • Exploratory analysis with tidyverse R packages for data visualisation and communication • Concept of tidy data and tidyverse R packages for data transformation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Distributed during the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | This course does not have any specific prerequisites. No prior experience of working with a programming language is required, nor do we expect statistical knowledge beyond basic summary statistics taught in high school environments. Note on accessibility: Although there are 2 weeks of data collection outside of the classroom, we do not want this, or any other component of the hybrid-style course to be a barrier to anyone who is interested in enrolling. If you have a specific concern about your ability to participate, please contact us, so we can discuss strategies to ensure that you are included. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competencies |
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| 376-0022-00L | Imaging and Computing in Medicine | W | 6 credits | 4G | R. Müller, C. J. Collins | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Imaging and computing methods are key to advances and innovation in medicine. This course introduces established fundamentals as well as modern techniques and methods of imaging and computing in medicine. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The learning objectives include 1. Understanding and practical implementation of biosignal processes methods for imaging; 2. Understanding of imaging techniques including radiation imaging, radiographic imaging systems, computed tomography imaging, diagnostic ultrasound imaging, and magnetic resonance imaging; 3. Knowledge of computing, programming, modelling and simulation fundamentals; 4. Computational and systems thinking as well as scripting and programming skills; 5. Understanding and practical implementation of emerging computational methods and their application in medicine including artificial intelligence, deep learning, big data, and complexity; 6. Understanding of the emerging concept of personalised and in silico medicine; 7. Encouragement of critical thinking and creating an environment for independent and self-directed studying. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Imaging and computing methods are key to advances and innovation in medicine. This course introduces established fundamentals as well as modern techniques and methods of imaging and computing in medicine. For the imaging portion of the course, biosignal processing, radiation imaging, radiographic imaging systems, computed tomography imaging, diagnostic ultrasound imaging, and magnetic resonance imaging are covered. For the computing portion of the course, computing, programming, and modelling and simulation fundamentals are covered as well as their application in artificial intelligence and deep learning; complexity and systems medicine; big data and personalised medicine; and computational physiology and in silico medicine. The course is structured as a seminar in three parts of 45 minutes with video lectures and a flipped classroom setup. In the first part (TORQUEs: Tiny, Open-with-Restrictions courses focused on QUality and Effectiveness), students study the basic concepts in short, interactive video lectures on the online learning platform Moodle. Students are able to post questions at the end of each video lecture or the Moodle forum that will be addressed in the second part of the lectures using a flipped classroom concept. For the flipped classroom, the lecturers may prepare additional teaching material to answer the posted questions (Q&A). Following the Q&A, the students will form small groups to acquire additional knowledge using online, python-based activities via JupyterHub or additionally distributed material and discuss their findings in teams. Learning outcomes will be reinforced with weekly Moodle assignments to be completed during the flipped classroom portion. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Stored on Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Lectures will be given in English. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-0210-00L | Biomechatronics Primarily designed for Health Sciences and Technology students. The Biomechatronics lecture is not appropriate for students who already attended the lecture "Physical Human-Robot Interaction"(376-1504-00L), because it covers similar topics. Matlab skills are beneficial-> online Tutorial http://www.imrtweb.ethz.ch/matlab/ | W | 4 credits | 3G | R. Riener, N. Gerig, O. Lambercy | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Development of mechatronic systems (i.e. mechanics, electronics, computer science and system integration) with inspiration from biology and application in the living (human) organism. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The objective of this course is to give an introduction to the fundamentals of biomechatronics, through lectures on the underlying theoretical/mechatronics aspects and application fields. In the exercises, these concepts will be intensified and trained on the basis of specific examples. The course will guide students through the design and evaluation process of such systems, and highlight a number of applications. By the end of this course, you should understand the critical elements of biomechatronics and their interaction with biological systems, both in terms of engineering metrics and human factors. You will be able to apply the learned methods and principles to the design, improvement and evaluation of safe and efficient biomechatronics systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The course will cover the interdisciplinary elements of biomechatronics, ranging from human factors to sensor and actuator technologies, real-time signal processing, system kinematics and dynamics, modeling and simulation, controls and graphical rendering as well as safety/ethical aspects, and provide an overview of the diverse applications of biomechatronics technology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Slides will be distributed through moodle before the lectures. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Brooker, G. (2012). Introduction to Biomechatronics. SciTech Publishing. Riener, R., Harders, M. (2012) Virtual Reality in Medicine. Springer, London. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | None | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Management, Technology and Economics Focus Coordinators: Prof. Stefano Brusoni D-MTEC and Dr. Bastian Bergmann D-MTEC | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 363-0302-00L | Human Resource Management: Leading Teams | W+ | 3 credits | 2G | G. Grote | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The basic processes of human resource management are discussed (selection, reward systems, performance evaluation, career development) and embedded in the broader context of leadership in teams. Leadership concepts and group processes are presented. Practical instruments supporting leadership functions are introduced and applied in business settings through student projects. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | • Understand basic HRM functions and their relationship to leadership • Know instruments for selection, performance appraisal, compensation, and development • Understand leadership requirements and success factors in leadership • Know fundamental processes in teams • Apply and expand theoretical knowledge on a specific topic in self-guided learning • Manage team processes and diversity | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Human Resource Management (HRM) concerns the policies, practices, and systems that influence employees' behavior, attitudes, and performance. HRM aims at applying human resources within organizations such that people succeed and organizational performance improves. HRM is of high strategic relevance as evidenced by strong links between good HRM practices and business outcomes. In the course, concepts and instruments for employee selection, performance management, and personnel development are presented. Some instruments are also practically applied in small groups. Fundamentals of effective leadership and dynamics in teams are discussed, in particular in view of the increasing demands for balancing stability and flexibility in fast-changing organizations. The course is taught from the perspective of team members' and team leaders' role in HRM, not from the perspective of HR managers. Thereby, students can directly relate their own experience to the HRM practices discussed. This applies to prior work experience, but also to any other teamwork experience, be it as a student or in a private role, for instance in sports clubs. Selecting the right team members, discussing and improving individual and team performance, managing task and relational conflicts, and sharing and building on each other's knowledge to solve problems are ubiquituous challenges that the course addresses. As part of the course, students also apply HRM instruments in company contexts in a group semester project. Topics for these projects are determined prior to the course and in the past have concerned leadership assessment, performance-based pay, and working in virtual teams. Students are provided with background literature and specific tools to conduct the project and are accompanied by a project advisor who provides additional support. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | There is no script. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | A reading list and the respective documents are provided via moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 363-0302-02L | Human Resource Management: Leading Teams (Additional Cases) Only for Mechanical Engineering BSc Focus MTEC | W+ | 1 credit | 2A | G. Grote | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Students write a term paper based on a literature review in an HRM-related topic of their choice (e.g., employee selection, performance management, leadership, group dynamics). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Students work through an HRM-related topic on their own and develop practical and research ideas around that topic. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | The lecture 363-0302-00L Human Resource Management: Leading Teams needs to be taken in order to participate in this module | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0700-00L | Manufacturing | W | 4 credits | 2V + 2U | K. Wegener | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Fundamental terms of productions engineering, plastic deformation, machining, Lasermachining, Mechatronic in the productions machine construction, Quality assurance, Process chain planning. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | - Knowledge of principal terms of manufacturing engineering - Basic knowledge of some processes, their mode of operation and design (forming, separative processes, Laser technics) - Knowledge of product defining properties and limitations of applications - In competition of processes make the right decisions - Procedure for process chain planning - Basic knowledge for quality assurance | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Explanation of basic principles of manufacturing technics and insight into the functionality of a manufacturing shop. Plastic deformation- and separative- manufacturing processes, as well as laser machining (welding and cutting), and their layouts, product defining properties and limitations of applications such as the associated workshop facilities, will be introduced in different details. Further basic principles of the industrial measurement technique and mechatronics concepts in machine tool construction will be discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Herbert Fritz, Günter Schulze (Hrsg.) Fertigungstechnik. 6. Aufl. Springer Verlag 2003 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | An excursion to one or two manufacturing engineering plant is planned. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 351-0578-00L | Introduction to Economic Policy Not for students belonging to D-MTEC! | W | 2 credits | 1V | H. Mikosch | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | First approach to the theory of economic policy. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | First approach to the theory of economic policy. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Wirtschaftspolitik ist die Gesamtheit aller Massnahmen von staatlichen Institutionen mit denen das Wirtschaftsgeschehen geregelt und gestaltet wird. Die Vorlesung bietet einen ersten Zugang zur Theorie der Wirtschaftspolitik. Gliederung der Vorlesung: 1.) Wohlfahrtsökonomische Grundlagen: Wohlfahrtsfunktion, Pareto-Optimalität, Wirtschaftspolitik als Mittel-Zweck-Analyse u.a. 2.) Wirtschaftsordnungen: Geplante und ungeplante Ordnung 3.) Wettbewerb und Effizienz: Hauptsätze der Wohlfahrtsökonomik, Effizienz von Wettbewerbsmärkten 4.) Wettbewerbspolitik: Sicherstellung einer wettbewerblichen Ordnung Gründe für Marktversagen: 5.) Externe Effekte 6.) Öffentliche Güter 7.) Natürliche Monopole 8.) Informationsasymmetrien 9.) Anpassungskosten 10.) Irrationalität 11.) Wirtschaftspolitik und Politische Ökonomie Die Vorlesung beinhaltet Anwendungsbeispiele und Exkurse, um eine Verbindung zwischen Theorie und Praxis der Wirtschaftspolitik herzustellen. Z. B. Verteilungseffekte von wirtschaftspolitischen Massnahmen, Kartellpolitik am Ölmarkt, Internalisierung externer Effekte durch Emissionshandel, moralisches Risiko am Finanzmarkt, Nudging, zeitinkonsistente Präferenzen im Bereich der Gesundheitspolitik | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Ja (in Form von Vorlesungsslides). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 363-0764-00L | Project Management | W | 2 credits | 2V | C. G. C. Marxt | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course gives a detailed introduction into various aspects of classic and agile project management. Established concepts and methods for initiating, planning and executing projects are introduced and major challenges discussed. Additionally the course covers different agile and hybrid project management concepts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Projects are not only the base of work in modern enterprises but also the primary type of cooperation with customers. Students of ETH will often work in or manage projects in the course of their career. Good project management knowledge is not only a guarantee for individual but also for company wide success. The goal of this course is to give a detailed introduction into project management, more specific participants - will understand the basics of successful classic and agile project management - are able to apply the concepts and methods of project management in their day to day work - are able to identify different project management practices and are able to suggest improvements - will contribute to projects in your organization in a positive way - will be able to plan and execute projects successfully. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The competitiveness of companies is driven by the development of a concise strategy and its successful implementation. Especially strategy execution poses several challenges to senior management: clear communication of goals, ongoing follow up of activities, a sound monitoring and control system. All these aspect are covered by successfully implementing and applying program and project management. As an introductory course we will focus mainly on project management. In the last decade project management has become an important discipline in management and several internationally recognized project management methods can be found: PMBOK, IPMA ICB, PRINCE 2, etc. These frameworks have proven to be very useful in day-to-day work. Unfortunately the environment companies are working in has changed parallel to the rise of PM as a discipline. Incremental but even more important fundamental changes happen more often and much faster than a decade ago. Experience has shown that the classic PM approaches lack the inherent dynamics to cope with these challenges. So overtime new methods have surfaced, such as SCRUM. These methods are called Agile Project Management methods and follow a dynamic model of reality, called complex adaptive systems perspective. This course will cover both classic and agile project management topics. The first part of the semester will lay the basics by discussing the classic way of planning, organizing and executing a project based on its life cycle. Topics covered include: drafting project proposals, stake holder analysis, different aspects of project planning, project organization, project risk management, project execution, project control, leadership in projects incl. conflict mitigation strategies, termination and documentation. In the second part basic conceptual topics for agile project management such as the agile manifesto, SCRUM, Lean, Kanban, XP, rapid results are covered. The course tries to tap into pre-existing knowledge of the participants using a very interactive approach including in-class discussion, short exercises and case studies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | No The lecture slides and other additional material (papers, book chapters, case studies, etc.) will be available for download from Moodle before each class. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 363-1017-00L | Risk and Insurance Economics Does not take place this semester. | W | 3 credits | 2G | to be announced | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course covers the economics of risk and insurance, in particular the following topics will be discussed: 2) individual decision making under risk 3) fundamentals of insurance 4) information asymmetries in insurance markets 5) the macroeconomic role of insurers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The goal is to introduce students to basic concepts of risk, risk management and economics of insurance. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | “The ability to define what may happen in the future and to choose among alternatives lies at the heart of contemporary societies. Risk management guides us over a vast range of decision-making from allocation of wealth to safeguarding public health, from waging war to planning a family, from paying insurance premiums to wearing a seatbelt, from planting corn to marketing cornflakes.” (Peter L. Bernstein) Every member of society faces various decisions under uncertainty on a daily basis. Many individuals apply measures to manage these risks without even thinking about it; many are subject to behavioral biases when making these decisions. In the first part of this lecture, we discuss normative decision concepts, such as Expected Utility Theory, and contrast them with empirically observed behavior. Students learn about the rationale for individuals to purchase insurance as part of a risk management strategy. In a theoretical framework, we then derive the optimal level of insurance demand and discuss how this result depends on the underlying assumptions. After learning the basics for understanding the specifications, particularities, and mechanisms of insurance markets, we discuss the consequences of information asymmetries in these markets. Insurance companies do not only provide individuals with a way to decrease uncertainty of wealth, they also play a vital role for businesses that want to manage business risk, for the real economy by providing funds and pooling risks, and for the financial market by being important counterparties in numerous financial transactions. In the last part of this lecture, we shed light on these different roles of insurance companies. We compare the implications for different stakeholders and (insurance) markets in general. Finally, course participants familiarize themselves with selected research papers that analyze individuals’ decision-making under risk or examine specific details about the different roles of insurance companies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Main literature: - Eeckhoudt, L., Gollier, C., & Schlesinger, H. (2005). Economic and Financial Decisions under Risk. Princeton University Press. - Zweifel, P., & Eisen, R. (2012). Insurance Economics. Springer. Further readings: - Dionne, G. (Ed.). (2013). Handbook of Insurance (2nd ed.). Springer. - Hufeld, F., Koijen, R. S., & Thimann, C. (Eds.). (2017). The Economics, Regulation, and Systemic Risk of Insurance Markets. Oxford University Press. - Niehaus, H., & Harrington, S. (2003). Risk Management and Insurance (2nd ed.). McGraw Hill. - Rees, R., & Wambach, A. (2008). The Microeconomics of Insurance, Foundations and Trends® in Microeconomics, 4(1–2), 1-163. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 363-1038-00L | Sustainability Start-Up Seminar Number of participants limited to 30. | W | 3 credits | 2G | A. H. Sägesser | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Participants are lead through a venturing process inspired by Lean and Design Thinking and social innovation methodologies. The course contains problem identification, idea generation and evaluation, team formation, and the development of one entrepreneurial idea per team. Starting points for entrepreneurial ideas are the climate crisis and biodiversity loss. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | 1. Students have experienced and know how to take the first steps towards co-creating a venture and potentially company 2. Students reflect deeply on sustainability issues (with a focus on climate change & biodiversity) and can formulate a problem statement 3. Students believe in their ability to bring change to the world with their own ideas 4. Students are able to apply entrepreneurial practices such as e.g. the lean startup approach 5. Students have built a first network and know how to proceed and who to approach in case they would like to take their ventures further. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | This course is aimed at people with a keen interest to address sustainability issues (with a focus on climate crisis and biodiversity loss), with a curious mindset, and potentially first ideas for entrepreneurial action! The seminar consists of a mix of lectures, workshops, individual working sessions, teamwork, and student presentations/pitches. This class is taught by a reflective practitioner of entrepreneurial action for societal transformation. Real-world climate entrepreneurs and experts from the Swiss start-up and sustainability community will be invited to support individual sessions. All course content is based on latest international entrepreneurship practices and contains continuous processes of self- and world making. The seminar starts with an introduction to sustainability (with a special focus on climate change & biodiversity) and entrepreneurship. Students are asked to self-select into an area of their interest in which they will develop entrepreneurial ideas throughout the course. The first part of the course then focuses on deeply understanding sustainability problems within the area of interest. Through workshops and self-study, students will identify key design challenges, generate ideas, as well as provide systematic and constructive feedback to their peers. In the second part of the course, students will form teams around their generated ideas. In these teams they will develop a business model and, following the lean start-up process, conduct real-life testing, as well as pivoting of these business models. In the final part of the course, students present their insights gained from the lean start-up process, as well as pitch their entrepreneurial ideas and business models to an expert jury. The course will conclude with a session that provides students with a network and resources to further pursue their entrepreneurial journey. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | All material used will be made available to the participants. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | No pre-reading required. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Prerequisite: Interest in sustainability & entrepreneurship and readiness to open up, share and reflect deeply. Notes: 1. It is not required that participants already have an idea for entrepreneurial action at the beginning of the course. 2. Focus is on entrepreneurial action which can take many forms. Eg. startup, SME, campaign, intrapreneurial action, non-profit, ... 2. No legal entities (e.g. GmbH, Association, AG) need to be founded for this course. Target participants: PhD students, Msc students and MAS students from all departments. The number of participants is limited to max.24. Waiting list: After subscribing you will be added to the waiting list. The lecturer will contact you a few weeks before the start of the seminar to confirm your interest and to ensure a good mixture of study backgrounds, only then you're accepted to the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competencies |
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| Design, Mechanics and Materials Focus Coordinator: Prof. Kristina Shea In order to achieve the required 20 credit points for the Focus Specialization Design, Mechanics and Material you are free to choose any of the courses offered within the focus and are encouraged to select among those recommended. If you wish to take one of the Master level courses, you must get approval from the lecturer. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0332-00L | Interdisciplinary Product Development: Definition, Realisation and Validation of Product Concepts Number of participants limited to: 5 (ETHZ) + 20 (ZHdK) To apply for the course please create a pdf of 2+ Pages describing yourself and your motivation for the course as well as one or more of your former development projects. Please add minimum one picture and your CV as well, send the pdf to martin.schuetz@mavt.ethz.ch. | W+ | 4 credits | 2G + 4A | M. Schütz | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course is offered by the Design and Technology Lab Zurich, a platform where students from the disciplines industrial design (ZHdK) and mechanical engineering (ETH) can learn, meet and perform projects together. In interdisciplinary teams the students develop a product by applying methods used in the different disciplines within the early stages of product development. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | This interdisciplinary course has the following learning objectives: - to learn and apply methods of the early stages of product development from both fields: mechanical engineering and industrial design - to use iterative and prototyping-based development (different types of prototypes and test scenarios) - to run through a development process from product definition to final prototype and understand the mechanisms behind it - to experience collaboration with the other discipline and learn how to approach and deal with any appearing challenge - to understand and experience consequences which may result of decision taken within the development process | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | At the end of the course each team should present an innovative product concept which convinces from both, the technical as well as the design perspective. The product concept should be presented as functioning prototype. The learning objectives will be reached with the following repeating cycle: 1) input lectures The relevant theoretical basics will be taught in short lectures by different lecturers from both disciplines, mechanical engineering an industrial design. The focus is laid on methods, processes and principles of product development. 2) team development The students work on their projects individually and apply the taught methods. At the same time, they will be coached and supported by mentors to pass through the product development process successfully. 3) presentation Important milestones are presented and discussed during the course, thus allowing teams to learn from each other. 4) reflection The students deepen their understanding of the new knowledge and learn from failures. This is especially important if different disciplines work together and use methods from both fields. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Hands out after input lectures | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Number of participants limited to: 5 (ETHZ) + 20 (ZHdK) To apply for the course please create a pdf of 2+ Pages describing yourself and your motivation for the course as well as one or more of your former development projects. Please add minimum one picture and Your CV as well, send the pdf to martin.schuetz@mavt.ethz.ch. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0540-00L | Experimental Mechanics | W+ | 4 credits | 2V + 1U | J. Dual, T. Brack | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | 1. General aspects like transfer functions, vibrations, modal analysis, statistics, digital signal processing, phase locked loop, 2. Optical methods 3. Piezoelectricity 4. Electromagnetic excitation and detection 5. Capacitive Detection | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Understanding, quantitative modelling and practical application of experimental methods for producing and measuring mechanical quantities (motion, deformation, stresses,..) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. General Aspects: Measurement chain, transfer functions, vibrations and waves in continuous systems, modal analysis, statistics, digital signal analysis, phase locked loop. 2. Optical methods ( acousto optic modulation, interferometry, holography, photoelasticity, shadow optics, Moire methods ) 3. Piezoelectric materials: basic equations, applications, accelerometer ) 4. Electomagnetic excitation and detection, 5. Capacitive detection Practical training and homeworks | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Prerequisites: Mechanics I to III, Physics, Elektrotechnik | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-3202-00L | Product Development and Engineering Design Number of participants limited to 60. | W+ | 4 credits | 2G | K. Shea, T. Stankovic, E. Tilley | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course introduces students to the product development process. In a team, you will explore the early phases of conceptual development and product design, from ideation and concept generation through to hands-on prototyping. This is an opportunity to gain product development experience and improve your skills in prototyping and presenting your product ideas. The project topic changes each year. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The course introduces you to the product development process and methods in engineering design for: product planning, user-centered design, creating product specifications, ideation including concept generation and selection methods, material selection methods and prototyping. Further topics include design for manufacture and design for additive manufacture. You will actively apply the process and methods learned throughout the semester in a team on a product development project including prototyping. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Weekly topics accompanying the product development project include: 1 Introduction to Product Development and Engineering Design 2 Product Planning and Social-Economic-Technology (SET) Factors 3 User-Centered Design and Product Specifications 4 Concept Generation and Selection Methods 5 System Design and Embodiment Design 6 Prototyping and Prototype Planning 7 Material Selection in Engineering Design 8 Design for Manufacture and Design for Additive Manufacture | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | available on Moodle | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Ulrich, Eppinger, and Yang, Product Design and Development. 7th ed., McGraw-Hill Education, 2020. Cagan and Vogel, Creating Breakthrough Products: Revealing the Secrets that Drive Global Innovation, 2nd Edition, Pearson Education, 2013. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Although the course is offered to ME (BSc and MSc) and CS (BSc and MSc) students, priority will be given to ME BSc students in the Focus Design, Mechanics, and Materials if the course is full. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0304-00L | Engineering Design II | W | 4 credits | 4G | K. Wegener | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Dimensioning (strength calculation) of machine parts, shaft - hub - connections, welded and brazed joints, springs, screws, roller and slide bearings, transmissions, gears, clutch and brake as well as their practical applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The students extend in that course their knowledge on the correct application of machine parts and machine elements including dimensioning. Focus is laid on the acquisition of competency to solve technical problems and judge technical solutions and to correctly apply their knowledge according to operation conditions, functionality and strength calculations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Machine parts as shaft - hub - connections, welded and brazed joints, springs, screws, roller and slide bearings, transmissions, gears, clutch and brake are discussed. The course covers for all the machine elements their functionality, their application and limits of applicability and the dimensioning is as well as their practical applications. Exercises show the solution of practical problems. Partly practical problems are solved by the students for their own. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Script exists. Price: SFr. 40.- | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Prerequisites: Basics in design and product development Dimensioning 1 Credit-conditions / examination: Partly practical problems are solved by the students for their own. The examination will be in the following examination session. Credits are given after passing the examination. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0306-00L | Visualization, Simulation and Interaction - Virtual Reality I | W | 4 credits | 4G | A. Kunz | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Technology of Virtual Reality. Human factors, Creation of virtual worlds, Lighting models, Display- and acoustic- systems, Tracking, Haptic/tactile interaction, Motion platforms, Virtual prototypes, Data exchange, VR Complete systems, Augmented reality, Collaboration systems; VR and Design; Implementation of the VR in the industry; Human Computer Interfaces (HCI). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The product development process in the future will be characterized by the Digital Product which is the center point for concurrent engineering with teams spreas worldwide. Visualization and simulation of complex products including their physical behaviour at an early stage of development will be relevant in future. The lecture will give an overview to techniques for virtual reality, to their ability to visualize and to simulate objects. It will be shown how virtual reality is already used in the product development process. • Students are able to evaluate and select the most appropriate VR technology for a given task regarding: o Visualization technologies displays/projection systems/head-mounted displays o Tracking systems (inertia/optical/electromagnetic) o Interaction technologies (sensing gloves/real walking/eye tracking/touch/etc.) • Students are able to develop a VR application • Students are able to apply VR to industrial needs • Students will be able to apply the gained knowledge to a practical realization • Students will be able to compare different operation principles (VR/AR/MR/XR) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Introduction to the world of virtual reality; development of new VR-techniques; introduction to 3D-computergraphics; modelling; physical based simulation; human factors; human interaction; equipment for virtual reality; display technologies; tracking systems; data gloves; interaction in virtual environment; navigation; collision detection; haptic and tactile interaction; rendering; VR-systems; VR-applications in industry, virtual mockup; data exchange, augmented reality. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | A complete version of the handout is also available in English. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Voraussetzungen: keine Vorlesung geeignet für D-MAVT, D-ITET, D-MTEC und D-INF Testat/ Kredit-Bedingungen/ Prüfung: –Teilnahme an Vorlesung und Kolloquien –Erfolgreiche Durchführung von Übungen in Teams | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0324-00L | Engineering Design with Polymers and Polymer Composites | W | 4 credits | 2V + 1U | G. P. Terrasi | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Scope of neat and fibre reinforced polymers (FRP) for load bearing applications. State-of-the-art and trends. Design procedures for neat polymers under sustained, combined, and fatigue loading conditions. Stability and brittle fracture issues. Composition of FRP. Properties of fibre and matrix materials. Processing and design of FRP: laminate and net theory, stability, creep and fatigue behaviour. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Impart the basics to future mechanical, civil, and materials engineers for the engineering design with neat polymers and fibre reinforced polymers (FRP) for load bearing applications. In parallel to the presentation of the basics many practical applications will be treated in detail. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. Introduction 1.1 Retrospective view 1.2 State-of-the-art 1.3 Prospects for the future 1.4 References 2. Engineering design with neat polymers and with random-oriented fibre reinforced polymers 2.1 Scope of applications 2.2 Static loading 2.21 Tensile- and compressive loading 2.22 Flexural loading 2.23 Combined loading 2.24 Buckling 2.3 Fatigue 2.4 Brittle failure 2.5 Variable loading 2.6 Thermal stresses 2.7 To be subjected to aggressive chemicals 2.8 Processing of neat polymers 2.9 References 3. Composition and manufacturing techniques for fibre reinforced polymers 3.1 Introduction 3.2 Materials 3.21 Matrices 3.22 Fibres 3.3 Manufacturing techniques 3.31 Hand lay-up moulding 3.32 Directed fibre spray-up moulding 3.33 Low pressure compression moulding 3.34 High pressure compression moulding 3.35 Pultrusion 3.36 Centrifugal casting 3.37 Filament winding 3.38 Robots 3.39 Remarks about the design of moulds 3.4 References 4. Engineering design with high performance fibre reinforced polymers 4.1 Introduction 4.2 The unidirectional ply (or lamina) 4.21 Stiffness of the unidirectional ply 4.22 Thermal properties of the unidirectional ply 4.23 Failure criteria for the unidirectional ply 4.3 rules fort he design of components made out of high performance fibre reinforced polymers 4.4 Basics of the net theory 4.41 Assumptions and definitions 4.42 Estimation of the fibre forces in a plies 4.5 Basics of the classical laminate theory (CLT) 4.51 Assumptions and definitions 4.52 Elastic constants of multilayer laminate 4.53 Strains and curvatures in a multilayer laminate due to mechanical loading 4.54 Calculation of the stresses in the unidirectional plies due to mechanical loading 4.55 Strains and curvatures in a multilayer laminate due to mechanical and thermal loading 4.56 Calculation of the stresses in the unidirectional plies due to mechanical and thermal loading 4.57 Procedure of stress analysis 4.58 Taking account of the non-linear behaviour of the matrix 4.59 Admissible stresses, evaluation of existing stresses 4.6 Puck’s action plane fracture criteria 4.7 Selected problems of buckling 4.8 Selected problems of fatigue 4.9 References | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | The script will be distributed at the beginning of the course | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | The script is including a comprehensive list of references | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0515-00L | Continuum Mechanics 2 | W | 4 credits | 2V + 1U | E. Mazza, R. M. Hopf | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | An introduction to finite deformation continuum mechanics and nonlinear material behavior. Coverage of basic tensor- manipulations and calculus, descriptions of kinematics, and balance laws . Discussion of invariance principles and mechanical response functions for elastic materials. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | To provide a modern introduction to the foundations of continuum mechanics and prepare students for further studies in solid mechanics and related disciplines. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. Tensors: algebra, linear operators 2. Tensors: calculus 3. Kinematics: motion, gradient, polar decomposition 4. Kinematics: strain 5. Kinematics: rates 6. Global Balance: mass, momentum 7. Stress: Cauchy's theorem 8. Stress: alternative measures 9. Invariance: observer 10. Material Response: elasticity | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | None. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Recommended texts: (1) Nonlinear solid mechanics, G.A. Holzapfel (2000). (2) An introduction to continuum mechanics, M.B. Rubin (2003). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0518-00L | Computational Mechanics I: Intro to FEA | W | 4 credits | 4G | D. Kochmann | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Numerical methods and techniques for solving initial boundary value problems in solid mechanics (heat conduction, static and dynamic mechanics problems of solids and structures). Finite difference methods, indirect and direct techniques, variational methods, finite element (FE) method, FE analysis in small strains for applications in structural mechanics and solid mechanics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | To understand the concepts and application of numerical techniques for the solution of initial boundary value problems in solid and structural mechanics, particularly including the finite element method for static and dynamic problems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. Introduction, direct and indirect numerical methods. 2. Finite differences, stability analysis. 3. Variational methods. 4. Finite element method. 5. Structural elements (bars and beams). 6. 2D and 3D solid elements (isoparametric and simplicial elements), numerical quadrature. 7. Assembly, solvers, finite element technology. 8. Dynamics, vibrations. 9. Selected topics in finite element analysis. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Lecture notes will be provided. Students are strongly encouraged to take their own notes during class. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | No textbook required; relevant reference material will be suggested. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Mechanics 1 & 2 and Dynamics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competencies |
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| 151-0552-00L | Fracture Mechanics | W | 4 credits | 3G | L. De Lorenzis | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course provides an introduction to the concepts of fracture mechanics and covers theoretical concepts as well as the basics of experimental and computational methods. Both linear and non-linear fracture mechanics are covered, adopting the stress and the energetic viewpoints. A basic overview of fatigue and dynamic fracture is also given. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | To acquire the basic concepts of fracture mechanics in theory, numerics and experiments, and to be able to apply them to the solution of relevant problems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. Introduction: damage and fracture mechanisms, stress concentrations, singularities. 2. Linear elastic fracture mechanics: the stress approach, the energy approach, mixed-mode fracture, size effects. 3. Elasto-plastic fracture mechanics: small-scale yielding, crack tip opening displacement, J integral. 4. Basics of experimental methods in fracture mechanics. 5. Basics of computational methods in fracture mechanics. 6. Overview of additional topics: fatigue, dynamic fracture. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Lecture notes will be provided. However, students are encouraged to take their own notes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Mechanics 1, 2, and Dynamics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-3204-00L | Coaching Innovation Projects | W | 2 credits | 2V | I. Goller | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course is building up skills and experience in coaching engineering teams. To gain experience and to reflect real coaching situations, the participants of the course have the role of teaching assistance of the innovation project (151-0300-00L). In this framework the participants coach teams and professionalize the knowledge in the area product development methods. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | - Critical thinking and reasoned judgements - Basic knowledge about role and mindset of a coach - Understanding the challenges of engineering projects and design teams - Development of personal skills to apply and train product development methods - Knowledge and know-how about applying methods - Reflection and exchange of experiences about personal coaching situations - Inspiration and learning from good cases regarding organizational and team management aspects - Decision-making under uncertainty | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Here is the schedule with dates and topics for Live Sessions on Mondays, 16:15-18:00. 21.02.2022: Kick-off & Experience Exchange 28.02.2022: Coaching Role 07.03.2022: Active Listening & Giving and Receiving Feedback 14.03.2022: Coaching Model GROW & Asking Questions 21.03.2022: Hypothesis & Motivation 28.03.2022: Reflection on Individual Coaching Session 1 04.04.2022: Team Building & Psychological Safety 11.04.2022: Facilitating Conflicts 02.05.2022: Reflection on Individual Coaching Sessions 2 09.05.2022: Coaching Individuals 16.05.2022: Reflexivity & Case Review For each live session preparatory material is provided on Moodle, enabling participants to start these sessions well equipped. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Only for participants (Bachelor Students, Master Students) who are teaching assistants in the innovation project). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 327-3002-00L | Materials for Mechanical Engineers | W | 4 credits | 2V + 1U | R. Spolenak, A. R. Studart, R. Style | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course provides a basic foundation in materials science for mechanical engineers. Students learns how to select the right material for the application at hand. In addition, the appropriate processing-microstructure-property relationship will lead to the fundamental understanding of concepts that determines the mechanical and functional properties. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | At the end of the course, the student will able to: • choose the appropriate material for mechanical engineering applications • find the optimal compromise between materials property, cost and ecological impact • understand the most important concepts that allow for the tuning of mechanical and functional properties of materials | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Block A: Materials Selection • Principles of Materials Selection • Introduction to the Cambridge Engineering Selector • Cost optimization and penalty functions • Ecoselection Block B: Mechanical properties across materials classes • Young's modulus from 1 Pa to 1 TPa • Failure: yield strength, toughness, fracture toughness, and fracture energy • Strategies to toughen materials from gels to metals. Block C: Structural Light Weight Materials • Aluminum and magnesium alloys • Engineering and fiber-reinforced polymers Block D: Structural Materials in the Body • Strength, stiffness and wear resistance • Processing, structure and properties of load-bearing implants Block E: Structural High Temperature Materials • Superalloys and refractory metals • Structural high-temperature ceramics Block F: Materials for Sensors • Semiconductors • Piezoelectrica Block G: Dissipative dynamics and bonding • Frequency dependent materials properties (from rheology of soft materials to vibration damping in structural materials) • Adhesion energy and contact mechanics • Peeling and delamination Block H: Materials for 3D Printing • Deposition methods and their consequences for materials (deposition by sintering, direct ink writing, fused deposition modeling, stereolithography) • Additive manufacturing of structural and active Materials | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | • Kalpakjian, Schmid, Werner, Werkstofftechnik • Ashby, Materials Selection in Mechanical Design • Meyers, Chawla, Mechanical Behavior of Materials • Rösler, Harders, Bäker, Mechanisches Verhalten der Werkstoffe | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Engineering Tools The Engineering Tools courses are for MAVT Bachelor’s degree students only. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0034-10L | Engineering Tool: Introduction to Design of Experiments (DOE) The Engineering Tools courses are for MAVT Bachelor’s degree students only. Number of participants limited to 36. | W | 0.4 credits | 1K | B. G. Rüttimann | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course introduces to linear and non-linear modelling of processes via "Design of Experiments". DOE is an actively generated regression analysis for fast and economic determination of input parameters to achieve an optimal output with a reduced number of experiments. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The students gain insight into theory and practice of DOE. They learn the most important terms, DOE types, full and fractional-factorial modelling and what has to be respected during the factor selection and investigational procedure, everything enriched by a practical exercise. The course provides indispensable basic knowledge for target-oriented scientific experimentation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. Einführung - T&E, OFAT, DOE, Vorteile von DOE - Auffrischung Multiple Regression - Multiple Regression vs DOE - DOE Typen: Screening, Refining, Optimizing 2. Theoretische Grundlagen - Vertiefung refining DOE - Voll-, teilfaktorielle DOE, confounding - Design generator, design resolution, factor levels, blocking - Beta-Risiko, Power, Replicates, Repeats, Mid-Points, Lack-of-fit 3. Versuchsplanung und -durchführung, Resultatanalyse - CNX Variablen - Experiment set-up mittels Software - Main effects, interaction plots - Modellreduzierung, Residualanalyse - Response optimizer - Einblick in die nicht-lineare Modellierung 4. Praktische Übung "Katapultschiessen" - Prozessverständnis - Versuchsdurchführung - Auswertung, Modellbildung, Wettbewerb | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | wird bereitgestellt und kann von den Kursteilnehmer heruntergeladen werden | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Voraussetzung für die Kursteilnahme: Studenten des Maschinenbaus, der Betriebswirtschaft o.ä.; Kenntnisse der Statistikgrundlagen sind von Vorteil aber nicht zwingend (kurze Einführung in die inferentielle Statistik und multiple Regression wird vermittelt) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0055-10L | Engineering Tool: Planning of Human Work The Engineering Tools courses are for MAVT Bachelor’s degree students only. Number of participants limited to 24. | W | 0.4 credits | 1K | P. Acél | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course gives an introduction into the planning and optimization of human work procedures in industry as a basis for the determination of personnel requirements. By using Methods of Time Management (MTM) it is shown, how work procedures are modelled in the different abstracted layers. MTM is the benchmark for time in process elements - an international standard. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The participants learn the basics in planning and optimizing of human work. They recognize that the problem solving based on work-organisation (e.g. efficiency of the staff members, pulsing) and ergonomical issues (e.g. overload of staff members) is made easier to achieve through the planning with MTM. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | This educational-objective will be shown by machine demonstrations, movies and lecture/theory. The contents will be engrossed in practice oriented group works. 1. The input by MTM to solve operational tasks - definition and application of MTM (process elements) - 7 wastes - comparison MTM, stopwatch, estimation - planning of working-systems (personnel requirements and optimized operational procedures) 2. The MTM-System and the respective main attributes - system elements - information content of MTM-application flow diagram - simulations ability 3. Development of processes - description of shortage, flow, rhythm, layout, standards, complexity, amount of parts etc. - is (analysis) - should-be (synthesis) in CHF 4. Application of MTM for the entire process chain - 3-stage model: development, scheduling, operation in fabrication and assembly - assembly fitting production engineering in the development, structuring appendage - work in the rated range, transparency and staff member motivation - ergonomically assessment of the working area, norm for human effort 5. MTM-systems and border lines (compression) - differences in the application MTM 1, MEK, UAS - IT-support: Ticon, Prokon - classification REFA, IE, stopwatch, ROM; Value Stream, KAIZEN, KVP, 5S, Lean Management etc. - other applications for logistic, administration, hospital etc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | - Script: Copies of the foils will be distributed to the participants - downloadable movies from real examples as extension - MTM-Time card with 5S and the 7 wastes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Requirements for the participation in the course: Students in MAVT, MTEC or the like. This is a praxis-oriented course. Your entire attendance is therefore expected. Your inscription to this course is binding. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0057-10L | Engineering Tool: Systems Engineering for Project Work The Engineering Tools courses are for MAVT Bachelor’s degree students only. Number of participants limited to 60. | W | 0.4 credits | 1K | R. Züst | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course is about a methodical basis of systematic project work, with a focus on demanding interdisciplinary problems. The participants will be shown how to use it appropriately and correctly in their projects. This short course is based on the "Systems Engineering" (SE) method, which was developed at the ETH. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The goals of this compact course are: - Goal-oriented identification and perception of relevant problem areas and project goal setting. - Deduction and development of procedures for a promising project, including systematic planning of the project content. - Development of work packages including efficient methodology - Simple embedding of the projects in the organization, including relationships with buyers, users and securing project participation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. Nachmittag: - Einstieg ins Systems Engineering; Entstehung, Inhalt und Werdegang; Voraussetzungen (anspruchsvolle Fragestellungen, institutionelle Einbettung, Systemdenken und heuristische Prinzipien); - Grundstruktur und Inhalt Lebensphasenmodell; Grundstruktur in Inhalt Problemlösungszyklus; - Zusammenspiel von Lebensphasenmodell & Problemlösungszyklus in Projekten 2. Nachmittag: - Situationsanalyse: Systemanalyse (Systemabgrenzung (gestaltbarer Bereich, relevante Bereiche des Umsystems)), Methoden der Analyse und Modellierung, Umgang mit Vernetzung, Dynamik und Unsicherheit; wichtigste Methoden der IST-Zustands- und Zukunftsanalyse), - Zielformulierung (wichtigste Methoden der Zielformulieren), - Konzeptsynthese und Konzeptanalyse (u.a. Kreativität; wichtigste Methoden der Synthese und Analyse), 3. Nachmittag: - Beurteilung (u.a. Methoden für mehrdimensionale Kriterienvergleich, z.B. Kosten-Wirksamkeits-Analyse); Diskussion von Planungsbeispielen - Diskussion von Planungsbeispielen: Analyse des Methodeneinsatzes, Entwickeln alternativer Vorgehensschritte und Auswahl des zweckmässigsten Vorgehens | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Zusammenfassung wird in elektronischer Form abgegeben; Lehrbuch: die Grundlagen sind in einem Lehrbuch beschrieben Anwendungsbeispiele: 8 konkrete Anwendungen von Systems Engineering sind in einem Case-Book beschrieben | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Zielpublikum: Der Kurs richtet sich insbesondere an Personen, welche anspruchsvolle Projekte initiieren, planen und leiten müssen Lernmethode: Der Stoff wird mittels kurzer Vorträge vermittelt und an kurzen Fallbeispielen/Übungen vertieft. Zudem sollen die Lehrinhalte durch selbständiges Studium der Lehrmittel vertieft bzw. ergänzt werden. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0061-10L | Engineering Tool: Scientific Writing with LaTeX and Vector Graphics The Engineering Tools courses are for MAVT Bachelor’s degree students only. Number of participants limited to 80. | W | 0.4 credits | 1K | O. Lambercy | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course provides insights into the structure and compilation of scientific papers and publications using LaTeX as well as open source software for image editing and the creation of vector graphics. LaTeX is a typesetting tool that separates text format and layout. It is widely used for reports and publications in the scientific domain. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | By looking at specific examples during class you will obtain an overview on composing scientific papers (e.g. bachelor theses, semester theses, master theses) using LaTeX and acquire the most important commands to typeset complex formulas, tables and graphics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | -- layout of scientific reports -- writing with LaTeX (structure, formatting, formulas, tables, graphics, references, table of contents, hyperlinks, packages) based on a template for bachelor/ semester/ master theses. -- graphic design and illustration using open source software and Matlab -- including PDF files in the report (project description, data sheets) -- managing bibliography databases | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | http://www.relab.ethz.ch/education/courses/engineering-tools-latex.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Particular: The exercises will be done on your personal laptop (at least one laptop per two students). The entire LaTeX package, Inkscape and Gimp should be installed in advance. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0068-10L | Engineering Tool: Reduction of Production Costs and Value Analysis The Engineering Tools courses are for MAVT Bachelor’s degree students only. Number of participants limited to 18. | W | 0.4 credits | 1K | F. Waldern | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Manufacturing costs are the largest challenge for manufacturing companies in high-wage countries. To reduce the manufacturing costs significantly, all areas of the product development process have to be taken into consideration. This tool course teaches the most important instruments for cost reduction in product development using concrete project and product examples. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | A methodical approach to estimate and reduce manufacturing costs is taught using a combination of theory and case studies. The participants learn the most important tools for cost reduction in development and practice their application in concrete case studies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Provide methodical approach using best-practices from concrete project examples - As-is analysis – the “systematics” of cost reduction - Potential analysis – the “creativity” of cost reduction - Cost transparency and visualization - Development for manufacturing / assembly and cost - Lean production | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Is provided. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0069-10L | Engineering Tool: Design Optimization and CAD The Engineering Tools courses are for MAVT Bachelor’s degree students only. Number of participants limited to 25. | W | 0.4 credits | 1K | T. Stankovic | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Participants will learn about the Computer-Aided Engineering fundamentals and methods that are necessary for successful design of modern technical products. The focus will be placed on the simulation-driven design in the context of product development process as well as on the fundamentals of the design optimization. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Basic Computer-Aided Engineering (CAE) knowledge and skills will be acquired to enable students to recognize both the advantages and the limitations of current CAE tools. Examples of how to build feature-based and parametric models for simulation-driven design automation will be given along with common pitfalls. The CAE environment will be the Siemens NX 8.5 which couples the simulation modeling (e.g. structural, thermal, flow, motion, and multiphysics) with design optimization and Feature-Based Design (FBD). After taking the course students should be able to independently create effective feature-based and parametric models to suit the requirements of simulation-driven design. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | 1. Computer-Aided Engineering (CAE) methods and tools in context of design process (2 afternoons): * CAE in the context of the design process * Simulation-driven design * Introduction to design optimization * Features, parameterization and synchronous modeling technology * Basic design optimization examples * Introduction to Finite-Element Method (FEM) with basic examples 2. Simulation-Driven Design with application to structural design (1 afternoon): * Coupling simulation with structural design optimization and feature based-design * Simulation driven design examples (single parts and assemblies) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Handouts in the lecture | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | 1. CAD NX: Schmid, M. 2012: CAD mit NX: NX 8, Wilburgstetten : Schlembach Fachverlag , ISBN: 978-3-935340-72-4 2. CAE NX: Reiner, A. and Peter, B. 2010: Simulationen mit NX Kinematik, FEM, CFD und Datenmanagement Mit zahlreichen Beispielen für NX 7.5, Carl Hanser Verlag GmbH & Co. KG, eISBN: 978-3-446-42611-5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Max. 25 participants | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0912-10L | Engineering Tool: Patents All Engineering Tool courses are for MAVT-Bachelor students only. Number of participants limited to 50. | W | 0.4 credits | 1K | F. Gross | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The students will learn to use patent documents, the legal basis for patents and the use of patent databases through practical examples. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Knowledge and expericene in using patent documents and patent databases | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Lecture notes will be made accessible. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | none | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 252-0867-00L | Engineering Tool: Case Study Physics Simulations The Engineering Tool-courses are for MAVT Bachelor’s degree students only. | W | 0.4 credits | 1K | V. da Costa de Azevedo | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course provides an introduction to physics simulations and in particular discusses the fundamentals and numerical solution of an Eulerian fluid simulation. The students will implement the discussed techniques by extending the provided code framework. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Participants will learn about the fundamentals of Eulerian fluid simulations and how to implement a fluid solver numerically. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The lecture includes theoretical and practical parts. The practical exercises include multiple smaller tasks and will be implemented in the provided C++ code framework. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Hand-outs and code framework can be downloaded. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | No textbooks required. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Fundamentals of calculus and physics, knowledge in programming with C++. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||