Search result: Catalogue data in Autumn Semester 2020

Number	Title	Type	ECTS	Hours	Lecturers
Electrical Engineering and Information Technology Bachelor
Electives This is only a small selection. Other courses from the ETH course catalogue may be chosen. Please consult the "Richtlinien zu Projekten, Praktika, Seminare" (German only), published on our website (http://www.ee.ethz.ch/pps-richtlinien).
Engineering Electives
227-0105-00L	Introduction to Estimation and Machine Learning	W	6 credits	4G	H.‑A. Loeliger
Abstract	Mathematical basics of estimation and machine learning, with a view towards applications in signal processing.
Learning objective	Students master the basic mathematical concepts and algorithms of estimation and machine learning.
Content	Review of probability theory; basics of statistical estimation; least squares and linear learning; Hilbert spaces; Gaussian random variables; singular-value decomposition; kernel methods, neural networks, and more
Lecture notes	Lecture notes will be handed out as the course progresses.
Prerequisites / Notice	solid basics in linear algebra and probability theory
227-0517-10L	Fundamentals of Electric Machines	W	6 credits	4G	D. Bortis
Abstract	This course introduces to different electric machine concepts and provides a deeper understanding of their detailed operating principles. Different aspects arising in the design of electric machines, like dimensioning of magnetic and electric circuits as well as consideration of mechanical and thermal constraints, are investigated. The exercises are used to consolidate the concepts discussed.
Learning objective	The objective of this course is to convey knowledge on the operating principles of different types of electric machines. Further objectives are to evaluate machine types for given specification and to acquire the ability to perform a rough design of an electrical machine while considering the versatile aspects with respect to magnetic, electrical, mechanical and thermal limitations. Exercises are used to consolidate the presented theoretical concepts.
Content	‐ Fundamentals in magnetic circuits and electromechanical energy conversion. ‐ Force and torque calculation. ‐ Operating principles, magnetic and electric modelling and design of different electric machine concepts: DC machine, AC machines (permanent magnet synchronous machine, reluctance machine and induction machine). ‐ Complex space vector notation, rotating coordinate system (dqtransformation). ‐ Loss components in electric machines, scaling laws of electromechanical actuators. ‐ Mechanical and thermal modelling.
Lecture notes	Lecture notes and associated exercises including correct answers
Prerequisites / Notice	Prerequisites: Introductory course on power electronics.
151-0723-00L	Manufacturing of Electronic Devices	W	4 credits	3G	A. Kunz, A. Guber, R.‑D. Moryson, F. Reichert
Abstract	The lecture follows the value added process sequence of electric and electronic components. It contains: Development of electric and electronic circuits, design of electronic circuits on printed circuit boards as well as in hybrid technology, integrated test technology, planning of production lines, production of highly integrated electronic on a wafer as well as recycling.
Learning objective	Knowledge about the value added process sequence for electronics manufacturing, planning of electric and electronic product as well as their production, planning of production lines, value added process sequence for photovoltaics.
Content	Nothing works without electronics! Typical products in mechanical engineering such as machine tools, as well as any kind of vehicle contain a significant amount of electric or electronic components of more than 60%. Thus, it is important to master the value added process sequence for electric and electronic components. The lecture starts with a brief introduction of electronic components and the planning of integrated circuits. Next, an overview will be provided about electronic functional units assembled from these electronic components, on printed circuit boards as well as in hybrid technology. Value added process steps are shown as well as their quality check and their combination for planning a complete manufacturing line. The lecture further describes the manufacturing of integrated circuits, starting from the wafer via the structuring and bonding to the packaging. As an example, the manufacturing of micro-electromechanic and electro-optical systems and actuators is described. Due to similar processes in the electronic production, the value added process sequence for photovoltaics will described too. The lecture concludes with an excursion to a large manufacturing company. Here, students can the see the application and realization of the manufacturing of electric and electronic devices.
Lecture notes	Lecture notes are handed out during the individual lessons (CHF 20.-).
Prerequisites / Notice	The lecture is partly given by experts from industry. It is supplemented by an excursion to one of the industry partners.
151-0621-00L	Microsystems I: Process Technology and Integration	W	6 credits	3V + 3U	M. Haluska, C. Hierold
Abstract	Students are introduced to the fundamentals of semiconductors, the basics of micromachining and silicon process technology and will learn about the fabrication of microsystems and -devices by a sequence of defined processing steps (process flow).
Learning objective	Students are introduced to the basics of micromachining and silicon process technology and will understand the fabrication of microsystem devices by the combination of unit process steps ( = process flow).
Content	- Introduction to microsystems technology (MST) and micro electro mechanical systems (MEMS) - Basic silicon technologies: Thermal oxidation, photolithography and etching, diffusion and ion implantation, thin film deposition. - Specific microsystems technologies: Bulk and surface micromachining, dry and wet etching, isotropic and anisotropic etching, beam and membrane formation, wafer bonding, thin film mechanical properties. Application of selected technologies will be demonstrated on case studies.
Lecture notes	Handouts (available online)
Literature	- S.M. Sze: Semiconductor Devices, Physics and Technology - W. Menz, J. Mohr, O.Paul: Microsystem Technology - Hong Xiao: Introduction to Semiconductor Manufacturing Technology - M. J. Madou: Fundamentals of Microfabrication and Nanotechnology, 3rd ed. - T. M. Adams, R. A. Layton: Introductory MEMS, Fabrication and Applications
Prerequisites / Notice	Prerequisites: Physics I and II
252-0834-00L	Information Systems for Engineers	W	4 credits	2V + 1U	G. Fourny
Abstract	This course provides the basics of relational databases from the perspective of the user. We will discover why tables are so incredibly powerful to express relations, learn the SQL query language, and how to make the most of it. The course also covers support for data cubes (analytics).
Learning objective	This lesson is complementary with Big Data for Engineers as they cover different time periods of database history and practices -- you can take them in any order, even though it might be more enjoyable to take this lecture first. After visiting this course, you will be capable to: 1. Explain, in the big picture, how a relational database works and what it can do in your own words. 2. Explain the relational data model (tables, rows, attributes, primary keys, foreign keys), formally and informally, including the relational algebra operators (select, project, rename, all kinds of joins, division, cartesian product, union, intersection, etc). 3. Perform non-trivial reading SQL queries on existing relational databases, as well as insert new data, update and delete existing data. 4. Design new schemas to store data in accordance to the real world's constraints, such as relationship cardinality 5. Explain what bad design is and why it matters. 6. Adapt and improve an existing schema to make it more robust against anomalies, thanks to a very good theoretical knowledge of what is called "normal forms". 7. Understand how indices work (hash indices, B-trees), how they are implemented, and how to use them to make queries faster. 8. Access an existing relational database from a host language such as Java, using bridges such as JDBC. 9. Explain what data independence is all about and didn't age a bit since the 1970s. 10. Explain, in the big picture, how a relational database is physically implemented. 11. Know and deal with the natural syntax for relational data, CSV. 12. Explain the data cube model including slicing and dicing. 13. Store data cubes in a relational database. 14. Map cube queries to SQL. 15. Slice and dice cubes in a UI. And of course, you will think that tables are the most wonderful object in the world.
Content	Using a relational database ================= 1. Introduction 2. The relational model 3. Data definition with SQL 4. The relational algebra 5. Queries with SQL Taking a relational database to the next level ================= 6. Database design theory 7. Databases and host languages 8. Databases and host languages 9. Indices and optimization 10. Database architecture and storage Analytics on top of a relational database ================= 12. Data cubes Outlook ================= 13. Outlook
Literature	- Lecture material (slides). - Book: "Database Systems: The Complete Book", H. Garcia-Molina, J.D. Ullman, J. Widom (It is not required to buy the book, as the library has it)
Prerequisites / Notice	For non-CS/DS students only, BSc and MSc Elementary knowledge of set theory and logics Knowledge as well as basic experience with a programming language such as Pascal, C, C++, Java, Haskell, Python
376-0021-00L	Materials and Mechanics in Medicine	W	4 credits	3G	M. Zenobi-Wong, J. G. Snedeker
Abstract	Understanding of physical and technical principles in biomechanics, biomaterials, and tissue engineering as well as a historical perspective. Mathematical description and problem solving. Knowledge of biomedical engineering applications in research and clinical practice.
Learning objective	Understanding of physical and technical principles in biomechanics, biomaterials, tissue engineering. Mathematical description and problem solving. Knowledge of biomedical engineering applications in research and clinical practice.
Content	Biomaterials, Tissue Engineering, Tissue Biomechanics, Implants.
Lecture notes	course website on Moodle
Literature	Introduction to Biomedical Engineering, 3rd Edition 2011, Autor: John Enderle, Joseph Bronzino, ISBN 9780123749796 Academic Press
» Additional third year core courses may be credited as electives.

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