Suchergebnis: Katalogdaten im Frühjahrssemester 2020

Nummer	Titel	Typ	ECTS	Umfang	Dozierende
Elektrotechnik und Informationstechnologie Master
Master-Studium (Studienreglement 2018)
Electronics and Photonics The core courses and specialization courses below are a selection for students who wish to specialize in the area of "Electronics and Photonics", see https://www.ee.ethz.ch/studies/main-master/areas-of-specialisation.html. The individual study plan is subject to the tutor's approval.
Kernfächer These core courses are particularly recommended for the field of "Electronics and Photonics". You may choose core courses form other fields in agreement with your tutor. A minimum of 24 credits must be obtained from core courses during the MSc EEIT.
Foundation Core Courses
227-0111-00L	Communication Electronics	W	6 KP	2V + 2U	Q. Huang
Kurzbeschreibung	Electronics for communications systems, with emphasis on realization. Low noise amplifiers, modulators and demodulators, transmit amplifiers and oscillators are discussed in the context of wireless communications. Wireless receiver, transmitter and frequency synthesizer will be described. Importance of and trade offs among sensitivity, linearity and selectivity are discussed extensively.
Lernziel	Foundation course for understanding modern electronic circuits for communication applications. We learn how theoretical communications principles are reduced to practice using transistors, switches, inductors, capacitors and resistors. The harsh environment such communication electronics will be exposed to and the resulting requirements on the sensitivity, linearity and selectivity help explain the design trade offs encountered in every circuit block found in a modern transceiver.
Inhalt	Accounting for more than two trillion dollars per year, communications is one of the most important drivers for advanced economies of our time. Wired networks have been a key enabler to the internet age and the proliferation of search engines, social networks and electronic commerce, whereas wireless communications, cellular networks in particular, have liberated people and increased productivity in developed and developing nations alike. Integrated circuits that make such communications devices light weight and affordable have played a key role in the proliferation of communications. This course introduces our students to the key components that realize the tangible products in electronic form. We begin with an introduction to wireless communications, and describe the harsh environment in which a transceiver has to work reliably. In this context we highlight the importance of sensitivity or low noise, linearity, selectivity, power consumption and cost, that are all vital to a competitive device in such applications. We shall review bipolar and MOS devices from a designer's prospectives, before discussing basic amplifier structures - common emitter/source, common base/gate configurations, their noise performance and linearity, impedance matching, and many other things one needs to know about a low noise amplifier. We will discuss modulation, and the mixer that enables its implementation. Noise and linearity form an inseparable part of the discussion of its design, but we also introduce the concept of quadrature demodulator, image rejection, and the effects of mismatch on performance. When mixers are used as a modulator the signals they receive are usually large and the natural linearity of transistors becomes insufficient. The concept of feedback will be introduced and its function as an improver of linearity studied in detail. Amplifiers in the transmit path are necessary to boost the power level before the signal leaves an integrated circuit to drive an even more powerful amplifier (PA) off chip. Linearized pre-amplifiers will be studied as part of the transmitter. A crucial part of a mobile transceiver terminal is the generation of local oscillator signals at the desired frequencies that are required for modulation and demodulation. Oscillators will be studied, starting from stability criteria of an electronic system, then leading to criteria for controlled instability or oscillation. Oscillator design will be discussed in detail, including that of crystal controlled oscillators which provide accurate time base. An introduction to phase-locked loops will be made, illustrating how it links a variable frequency oscillator to a very stable fixed frequency crystal oscillator, and how phase detector, charge pump and programmable dividers all serve to realize an agile frequency synthesizer that is very stable in each frequency synthesized.
Skript	Script is available online under https://iis-students.ee.ethz.ch/lectures/communication-electronics/
Voraussetzungen / Besonderes	The course Analog Integrated Circuits is recommended as preparation for this course.
227-0147-00L	VLSI II: Design of Very Large Scale Integration Circuits	W	6 KP	5G	F. K. Gürkaynak, L. Benini
Kurzbeschreibung	This second course in our VLSI series is concerned with how to turn digital circuit netlists into safe, testable and manufacturable mask layout, taking into account various parasitic effects. Low-power circuit design is another important topic. Economic aspects and management issues of VLSI projects round off the course.
Lernziel	Know how to design digital VLSI circuits that are safe, testable, durable, and make economic sense.
Inhalt	The second course begins with a thorough discussion of various technical aspects at the circuit and layout level before moving on to economic issues of VLSI. Topics include: - The difficulties of finding fabrication defects in large VLSI chips. - How to make integrated circuit testable (design for test). - Synchronous clocking disciplines compared, clock skew, clock distribution, input/output timing. - Synchronization and metastability. - CMOS transistor-level circuits of gates, flip-flops and random access memories. - Sinks of energy in CMOS circuits. - Power estimation and low-power design. - Current research in low-energy computing. - Layout parasitics, interconnect delay, static timing analysis. - Switching currents, ground bounce, IR-drop, power distribution. - Floorplanning, chip assembly, packaging. - Layout design at the mask level, physical design verification. - Electromigration, electrostatic discharge, and latch-up. - Models of industrial cooperation in microelectronics. - The caveats of virtual components. - The cost structures of ASIC development and manufacturing. - Market requirements, decision criteria, and case studies. - Yield models. - Avenues to low-volume fabrication. - Marketing considerations and case studies. - Management of VLSI projects. Exercises are concerned with back-end design (floorplanning, placement, routing, clock and power distribution, layout verification). Industrial CAD tools are being used.
Skript	H. Kaeslin: "Top-Down Digital VLSI Design, from Gate-Level Circuits to CMOS Fabrication", Lecture Notes Vol.2 , 2015. All written documents in English.
Literatur	H. Kaeslin: "Top-Down Digital VLSI Design, from Architectures to Gate-Level Circuits and FPGAs", Elsevier, 2014, ISBN 9780128007303.
Voraussetzungen / Besonderes	Highlight: Students are offered the opportunity to design a circuit of their own which then gets actually fabricated as a microchip! Students who elect to participate in this program register for a term project at the Integrated Systems Laboratory in parallel to attending the VLSI II course. Prerequisites: "VLSI I: from Architectures to Very Large Scale Integration Circuits and FPGAs" or equivalent knowledge. Further details: https://vlsi2.ethz.ch
227-0125-00L	Optics and Photonics	W	6 KP	2V + 2U	J. Leuthold
Kurzbeschreibung	This lecture covers both - the fundamentals of "Optics" such as e.g. "ray optics", "coherence", the "Planck law" or the "Einstein relations" but also the fundamentals of "Photonics" on the generation, processing, transmission and detection of photons.
Lernziel	A sound base for work in the field of optics and photonics will be given.
Inhalt	Chapter 1: Ray Optics Chapter 2: Electromagnetic Optics Chapter 3: Polarization Chapter 4: Coherence and Interference Chapter 5: Fourier Optics and Diffraction Chapter 6: Guided Wave Optics Chapter 7: Optical Fibers Chapter 8: The Laser
Skript	Lecture notes will be handed out.
Voraussetzungen / Besonderes	Fundamentals of Electromagnetic Fields (Maxwell Equations) & Bachelor Lectures on Physics.

Advanced Core Courses
Nummer	Titel	Typ	ECTS	Umfang	Dozierende
227-0146-00L	Analog-to-Digital Converters Findet dieses Semester nicht statt. Course will be moved to the fall semester 2021.	W	6 KP	2V + 2U
Kurzbeschreibung	This course provides a thorough treatment of integrated data conversion systems from system level specifications and trade-offs, over architecture choice down to circuit implementation.
Lernziel	Data conversion systems are substantial sub-parts of many electronic systems, e.g. the audio conversion system of a home-cinema systems or the base-band front-end of a wireless modem. Data conversion systems usually determine the performance of the overall system in terms of dynamic range and linearity. The student will learn to understand the basic principles behind data conversion and be introduced to the different methods and circuit architectures to implement such a conversion. The conversion methods such as successive approximation or algorithmic conversion are explained with their principle of operation accompanied with the appropriate mathematical calculations, including the effects of non-idealties in some cases. After successful completion of the course the student should understand the concept of an ideal ADC, know all major converter architectures, their principle of operation and what governs their performance.
Inhalt	- Introduction: information representation and communication; abstraction, categorization and symbolic representation; basic conversion algorithms; data converter application; tradeoffs among key parameters; ADC taxonomy. - Dual-slope & successive approximation register (SAR) converters: dual slope principle & converter; SAR ADC operating principle; SAR implementation with a capacitive array; range extension with segmented array. - Algorithmic & pipelined A/D converters: algorithmic conversion principle; sample & hold stage; pipe-lined converter; multiplying DAC; flash sub-ADC and n-bit MDAC; redundancy for correction of non-idealties, error correction. - Performance metrics and non-linearity: ideal ADC; offset, gain error, differential and integral non-linearities; capacitor mismatch; impact of capacitor mismatch on SAR ADC's performance. - Flash, folding an interpolating analog-to-digital converters: flash ADC principle, thermometer to binary coding, sparkle correction; limitations of flash converters; the folding principle, residue extraction; folding amplifiers; cascaded folding; interpolation for folding converters; cascaded folding and interpolation. - Noise in analog-to-digital converters: types of noise; noise calculation in electronic circuit, kT/C-noise, sampled noise; noise analysis in switched-capacitor circuits; aperture time uncertainty and sampling jitter. - Delta-sigma A/D-converters: linearity and resolution; from delta-modulation to delta-sigma modulation; first-oder delta-sigma modulation, circuit level implementation; clock-jitter & SNR in delta-sigma modulators; second-order delta-sigma modulation, higher-order modulation, design procedure for a single-loop modulator. - Digital-to-analog converters: introduction; current scaling D/A converter, current steering DAC, calibration for improved performance.
Skript	Slides are available online under https://iis-students.ee.ethz.ch/lectures/analog-to-digital-converters/
Literatur	- B. Razavi, Principles of Data Conversion System Design, IEEE Press, 1994 - M. Gustavsson et. al., CMOS Data Converters for Communications, Springer, 2010 - R.J. van de Plassche, CMOS Integrated Analog-to-Digital and Digital-to-Analog Converters, Springer, 2010
Voraussetzungen / Besonderes	It is highly recommended to attend the course "Analog Integrated Circuits" of Prof. Huang as a preparation for this course.
227-0150-00L	Systems-on-chip for Data Analytics and Machine Learning Previously "Energy-Efficient Parallel Computing Systems for Data Analytics"	W	6 KP	4G	L. Benini
Kurzbeschreibung	Systems-on-chip architecture and related design issues with a focus on machine learning and data analytics applications. It will cover multi-cores, many-cores, vector engines, GP-GPUs, application-specific processors and heterogeneous compute accelerators. Special emphasis given to energy-efficiency issues and hardware-software techniques for power and energy minimization.
Lernziel	Give in-depth understanding of the links and dependencies between architectures and their energy-efficient implementation and to get a comprehensive exposure to state-of-the-art systems-on-chip platforms for machine learning and data analytics. Practical experience will also be gained through practical exercises and mini-projects (hardware and software) assigned on specific topics.
Inhalt	The course will cover advanced system-on-chip architectures, with an in-depth view on design challenges related to advanced silicon technology and state-of-the-art system integration options (nanometer silicon technology, novel storage devices, three-dimensional integration, advanced system packaging). The emphasis will be on programmable parallel architectures with application focus on machine learning and data analytics. The main SoC architectural families will be covered: namely, multi and many- cores, GPUs, vector accelerators, application-specific processors, heterogeneous platforms. The course will cover the complex design choices required to achieve scalability and energy proportionality. The course will will also delve into system design, touching on hardware-software tradeoffs and full-system analysis and optimization taking into account non-functional constraints and quality metrics, such as power consumption, thermal dissipation, reliability and variability. The application focus will be on machine learning both in the cloud and at the edges (near-sensor analytics).
Skript	Slides will be provided to accompany lectures. Pointers to scientific literature will be given. Exercise scripts and tutorials will be provided.
Literatur	John L. Hennessy, David A. Patterson, Computer Architecture: A Quantitative Approach (The Morgan Kaufmann Series in Computer Architecture and Design) 6th Edition, 2017.
Voraussetzungen / Besonderes	Knowledge of digital design at the level of "Design of Digital Circuits SS12" is required. Knowledge of basic VLSI design at the level of "VLSI I: Architectures of VLSI Circuits" is required
227-0159-00L	Semiconductor Devices: Quantum Transport at the Nanoscale	W	6 KP	2V + 2U	M. Luisier, A. Emboras
Kurzbeschreibung	This class offers an introduction into quantum transport theory, a rigorous approach to electron transport at the nanoscale. It covers different topics such as bandstructure, Wave Function and Non-equilibrium Green's Function formalisms, and electron interactions with their environment. Matlab exercises accompany the lectures where students learn how to develop their own transport simulator.
Lernziel	The continuous scaling of electronic devices has given rise to structures whose dimensions do not exceed a few atomic layers. At this size, electrons do not behave as particle any more, but as propagating waves and the classical representation of electron transport as the sum of drift-diffusion processes fails. The purpose of this class is to explore and understand the displacement of electrons through nanoscale device structures based on state-of-the-art quantum transport methods and to get familiar with the underlying equations by developing his own nanoelectronic device simulator.
Inhalt	The following topics will be addressed: - Introduction to quantum transport modeling - Bandstructure representation and effective mass approximation - Open vs closed boundary conditions to the Schrödinger equation - Comparison of the Wave Function and Non-equilibrium Green's Function formalisms as solution to the Schrödinger equation - Self-consistent Schödinger-Poisson simulations - Quantum transport simulations of resonant tunneling diodes and quantum well nano-transistors - Top-of-the-barrier simulation approach to nano-transistor - Electron interactions with their environment (phonon, roughness, impurity,...) - Multi-band transport models
Skript	Lecture slides are distributed every week and can be found at https://iis-students.ee.ethz.ch/lectures/quantum-transport-in-nanoscale-devices/
Literatur	Recommended textbook: "Electronic Transport in Mesoscopic Systems", Supriyo Datta, Cambridge Studies in Semiconductor Physics and Microelectronic Engineering, 1997
Voraussetzungen / Besonderes	Basic knowledge of semiconductor device physics and quantum mechanics

Vertiefungsfächer These specialization courses are particularly recommended for the area of "Electronics and Photonics", but you are free to choose courses from any other field in agreement with your tutor. A minimum of 40 credits must be obtained from specialization courses during the Master's Programme.
Nummer	Titel	Typ	ECTS	Umfang	Dozierende
227-0117-10L	Mess- und Versuchstechnik	W	6 KP	4G	C. Franck, H.‑J. Weber
Kurzbeschreibung	Einführung in die Versuchs- und Messtechnik, wie sie Grundlage in allen Bereichen der Ingenieurswissenschaften ist. Die Vorlesung ist stark praxis- und anwendungsorientiert, und beinhaltet mehrere praktische Versuche. Die Inhalte «Mess- und Versuchstechnik» sind für alle Fachgebiete relevant, in dieser Vorlesung werden sie auch mit Beispielen aus der Hochspannungstechnik behandelt.
Lernziel	Am Ende der Vorlesung können die Studierenden: • grundlegende elektrische Versuche durchführen und Messdaten, insbesondere mit dem Oszilloskop, erheben. • ein sinnvolles Messprotokoll führen, ein klares Versuchsprotokoll erstellen und die Messgenauigkeit des Versuchs abschätzen. • grundlegende Ursachen elektromagnetischer Störungen sowie Methoden zur Vermeidung, Reduktion oder Abschirmung beschreiben und anwenden. • verschiedene Methoden zur Erzeugung und Messung von hohen Spannungen erklären und anwenden, sowie dazugehörende Grössen berechnen.
Inhalt	- Messtechnik, Messunsicherheit, Messprotokolle - Erzeugung und Messung hoher Spannungen - Elektromagnetische Verträglichkeit - Laborpraktika
Skript	Vorlesungsunterlagen
Literatur	J. Hoffmann, Taschenbuch der Messtechnik, Carl Hanser Verlag, 7. Auflage, 2015 (ISBN: 978-3446442719) A. Küchler, Hochspannungstechnik, Springer Berlin, 4. Auflage, 2017 (ISBN: 978-3662546994) A. Schwab, Elektromagnetische Verträglichkeit, Springer Verlag, 6. Auflage, 2010 (ISBN: 978-3642166099)
227-0155-00L	Machine Learning on Microcontrollers Registration in this class requires the permission of the instructors. Class size will be limited to 30. Preference is given to students in the MSc EEIT.	W	6 KP	3G + 2A	M. Magno, L. Benini
Kurzbeschreibung	Machine Learning (ML) and artificial intelligence are pervading the digital society. Today, even low power embedded systems are incorporating ML, becoming increasingly “smart”. This lecture gives an overview of ML methods and algorithms to process and extract useful near-sensor information in end-nodes of the “internet-of-things”, using low-power microcontrollers/ processors (ARM-Cortex-M; RISC-V)
Lernziel	Learn how to Process data from sensors and how to extract useful information with low power microprocessors using ML techniques. We will analyze data coming from real low-power sensors (accelerometers, microphones, ExG bio-signals, cameras…). The main objective is to study in details how Machine Learning algorithms can be adapted to the performance constraints and limited resources of low-power microcontrollers.
Inhalt	The final goal of the course is a deep understanding of machine learning and its practical implementation on single- and multi-core microcontrollers, coupled with performance and energy efficiency analysis and optimization. The main topics of the course include: - Sensors and sensor data acquisition with low power embedded systems - Machine Learning: Overview of supervised and unsupervised learning and in particular supervised learning (Bayes Decision Theory, Decision Trees, Random Forests, kNN-Methods, Support Vector Machines, Convolutional Networks and Deep Learning) - Low-power embedded systems and their architecture. Low Power microcontrollers (ARM-Cortex M) and RISC-V-based Parallel Ultra Low Power (PULP) systems-on-chip. - Low power smart sensor system design: hardware-software tradeoffs, analysis, and optimization. Implementation and performance evaluation of ML in battery-operated embedded systems. The laboratory exercised will show how to address concrete design problems, like motion, gesture recognition, emotion detection, image and sound classification, using real sensors data and real MCU boards. Presentations from Ph.D. students and the visit to the Digital Circuits and Systems Group will introduce current research topics and international research projects.
Skript	Script and exercise sheets. Books will be suggested during the course.
Voraussetzungen / Besonderes	Prerequisites: Good experience in C language programming. Microprocessors and computer architecture. Basics of Digital Signal Processing. Some exposure to machine learning concepts is also desirable.
227-0162-00L	Integrated Quantum, Statistical, and Information Mechanics for Information Processing Findet dieses Semester nicht statt.	W	4 KP	2V + 2U	S. Tiwari
Kurzbeschreibung	Computing with devices as physical objects composed of atoms, electrons and photons is an architected assembly where information is grounded in and transformed in quantum, statistical and information mechanics. This course is an integrated introduction to quantum, statistical, and information mechanics bringing out the common principles of these subjects with an engineering emphasis.
Lernziel	This course is an integrated introduction to information-centered foundational ideas to build an understanding of quantum, statistical and information mechanics as applied generally in engineering and specifically in computing. Computing employs hardware and objective manipulation of signals turned into data to access desired information. A logical state of a computer must be represented as a physical state in the hardware. Devices as physical objects have the information grounded in quantum, statistical, and information mechanics. These three science and engineering specialties are our theories for describing and predicting the abstracted behavior. The power dissipation in signal and data manipulation, the speed with which changes happen, the various architectures through which one may affect the change, the error rates, etc. are all grounded in the information that underscores what we practice in quantum mechanics, statistics, solid-state, electronics and information theory. In the quantum approach, information gained arises in the observation. In the statistical approach, it is through the probabilistic extractions. Preservation of information content in the presence of noise and fluctuations leads to dissipation. Inferencing and computation requires information compression through the objective symbolic manipulation and efficient coding. Entanglement and entropy are intrinsic in this probabilistic edifice where the inferences are drawn. Deterministic computing, as in the traditional approach, and non-deterministic computing such as the modern machines learning using neural networks, depend on how the information is manipulated in the midst of this entropy and entanglement. In addition to the introductory integrative understanding of quantum, statistical, and information mechanics, this course helps an understanding of the character of information processing through the traditional computing, quantum computing and neural network techniques.
Inhalt	An introduction to the basic tenets of quantum mechanics (axioms, operators, observation, perturbation, evolution, mixed states), statistical mechanics (basics of thermodynamics, principles of statistical mechanics, particle statistics, entropy, classical-to-quantum), information mechanics (various entropies, mutual information, data and channels, Bayesian approach, Fisher information, maximum entropy) and their use in exploration of computing via different architectures of computation (BLAS, von Neumann and neural) together with an introductory understanding of quantum computation. This integrated understanding emphasizes physical insights together with a mathematical development.
Skript	Lecture material and scripts
Voraussetzungen / Besonderes	The course is an introduction to quantum, statistical and information theories for those who have not been exposed to these subjects, but are interested in gaining a useful understanding of them as well as their implications for computing techniques in general.
227-0303-00L	Advanced Photonics	W	6 KP	2V + 2U + 1A	A. Emboras, M. Burla, A. Dorodnyy
Kurzbeschreibung	The lecture gives a comprehensive insight into various types of nano-scale photonic devices, physical fundamentals of their operation, and an overview of the micro/nano-fabrication technologies. Following applications of nano-scale photonic structures are discussed in details: detectors, photovoltaic cells, atomic/ionic opto-electronic devices and integrated microwave photonics.
Lernziel	General training in advanced photonic devices with an in-depth understanding of the fundamentals of theory, fabrication, and characterization. Hands-on experience with photonic and optoelectronic device technologies and theory. The students will learn about the importance of advanced photonic devices in energy, communications, digital and neuromorphic computing applications.
Inhalt	The following topics will be addressed: • Photovoltaics: basic thermodynamic principles and fundamental efficiency limitations, physics of semiconductor solar cell, overview of existing solar cell concepts and underlying physical phenomena. • Micro/nano-fabrication technologies for advanced optoelectronic devices: introduction and device examples. • Comprehensive insight into the physical mechanisms that govern ionic-atomic devices, present the techniques required to fabricate ultra-scaled nanostructures and show some applications in digital and neuromorphic computing. • Introduction to microwave photonics (MWP), microwave photonic links, photonic techniques for microwave signal generation and processing.
Skript	The presentation and the lecture notes will be provided every week.
Literatur	“Atomic/Ionic Devices”: • Resistive Switching: From Fundamentals of Nanoionic Redox Processes to Memristive Device Applications, Daniele Ielmini and Rainer Waser, Wiley-VCH • Electrochemical Methods: Fundamentals and Applications, A. Bard and L. Faulkner, John Willey & Sons, Inc. “Photovoltaics”: • Prof. Peter Wurfel: Physics of Solar Cells, Wiley “Micro and nano Fabrication”: • Prof. H. Gatzen, Prof. Volker Saile, Prof. Juerg Leuthold: Micro and Nano Fabrication, Springer “Microwave Photonics”: • D. M. Pozar, Microwave Engineering. J. Wiley & Sons, New York, 2005. • M. Burla, Advanced integrated optical beam forming networks for broadband phased array antenna systems. Enschede, The Netherlands, 2013. DOI: 10.3990/1.9789036507295 • C.H. Cox, Analog optical links: theory and practice. Cambridge University Press, 2006.
Voraussetzungen / Besonderes	Basic knowledge of semiconductor physics, physics of the electromagnetic filed and thermodynamics.
227-0330-00L	Energy-Efficient Analog Circuits for IoT Systems	W	6 KP	2V + 2U	T. Jang
Kurzbeschreibung	We are facing a new era of the Internet of things, similarly indicated as Industry 4.0, TSensors, Ubiquitous or The Fog. A miniaturized computer is the key to this innovation that senses, collects and processes information from objects. In this class, based on the recent publications, energy efficient analog IC techniques will be introduced which is the main challenge to reduce the battery size.
Lernziel	This class introduces key analog building blocks such as energy harvester, frequency generator, data converter, sensor interface, power converter based on the recent publications for IoT systems including wearable electronics, bio-implantable devices, and environmental sensors.
Inhalt	Ultra-low power circuit design methodology and transistor characteristics; Circuit-level design techniques for amplifier, comparator, voltage reference, on-chip oscillator, switched capacitor; IP-level design techniques for energy harvester, data converter, energy harvester and power converters.
Voraussetzungen / Besonderes	Analog Integrated Circuits
227-0376-00L	Reliability of Electronic Equipment and Systems Der Kurs wird zum letzten Mal im Frühjahrssemester 2020 angeboten und ist fusioniert mit 227-0377-10L Physics of Failure and Reliability of Electronic Devices and Systems, eine im Herbstsemester jährlich wiederkehrende Lehrveranstaltung.	W	4 KP	2V + 1U	U. Sennhauser, M. Held
Kurzbeschreibung	Zuverlässigkeit und Verfügbarkeit sind grundlegend für sichere und nachhaltige Produkte der Kommunikations-, Energie- und Medizintechnik, der Luft- und Raumfahrt und der Elektronik. Sie werden als stochastische und physikalische Prozesse beschrieben und müssen bezüglich Funktionalität, Umweltverträglichkeit und Kosten optimiert werden. Die notwendigen Grundlagen werden vermittelt.
Lernziel	Vermittlung der Grundlagen und Methoden der Systemtechnik zur Entwicklung zuverlässiger Bauteile, Geräte und Systeme.
Inhalt	Qualitätssicherung technischer Systeme (Übersicht); Einführung in stochastische Prozesse; Zuverlässigkeitsanalysen; Entwurf und Untersuchung störungstoleranter Strukturen; Wahl und Qualifikation von Bauteilen; Instandhaltbarkeitsanalysen (Übersicht); Entwicklungsricht- linien für Zuverlässigkeit, Instandhaltbarkeit und Software-Qualität; Zuverlässigkeits- und Verfügbarkeitsanalysen reparierbarer Systeme (Übersicht), Zuverlässigkeitsprüfungen (Übersicht).
Skript	Ein Skript wird abgegeben.
Literatur	Zuverlässigkeit von Geräten und Systemen, Springer Verlag 1997
227-0455-00L	Terahertz: Technology and Applications	W	5 KP	3G + 3A	K. Sankaran
Kurzbeschreibung	This block course will provide a solid foundation for understanding physical principles of THz applications. We will discuss various building blocks of THz technology - components dealing with generation, manipulation, and detection of THz electromagnetic radiation. We will introduce THz applications in the domain of imaging, sensing, communications, non-destructive testing and evaluations.
Lernziel	This is an introductory course on Terahertz (THz) technology and applications. Devices operating in THz frequency range (0.1 to 10 THz) have been increasingly studied in the recent years. Progress in nonlinear optical materials, ultrafast optical and electronic techniques has strengthened research in THz application developments. Due to unique interaction of THz waves with materials, applications with new capabilities can be developed. In theory, they can penetrate somewhat like X-rays, but are not considered harmful radiation, because THz energy level is low. They should be able to provide resolution as good as or better than magnetic resonance imaging (MRI), possibly with simpler equipment. Imaging, very-high bandwidth communication, and energy harvesting are the most widely explored THz application areas. We will study the basics of THz generation, manipulation, and detection. Our emphasis will be on the physical principles and applications of THz in the domain of imaging, sensing, communications, non-destructive testing and evaluations. The second part of the block course will be a short project work related to the topics covered in the lecture. The learnings from the project work should be presented in the end.
Inhalt	PART I: - INTRODUCTION - Chapter 1: Introduction to THz Physics Chapter 2: Components of THz Technology - THz TECHNOLOGY MODULES - Chapter 3: THz Generation Chapter 4: THz Detection Chapter 5: THz Manipulation - APPLICATIONS - Chapter 6: THz Imaging / Sensing / Communication Chapter 7: THz Non-destructive Testing Chapter 8: THz Applications in Plastic & Recycling Industries PART 2: - PROJECT WORK - Short project work related to the topics covered in the lecture. Short presentation of the learnings from the project work. Full guidance and supervision will be given for successful completion of the short project work.
Skript	Soft-copy of lectures notes will be provided.
Literatur	- Yun-Shik Lee, Principles of Terahertz Science and Technology, Springer 2009 - Ali Rostami, Hassan Rasooli, and Hamed Baghban, Terahertz Technology: Fundamentals and Applications, Springer 2010
Voraussetzungen / Besonderes	Basic foundation in physics, particularly, electromagnetics is required. Students who want to refresh their electromagnetics fundamentals can get additional material required for the course.
227-0659-00L	Integrated Systems Seminar	W	1 KP	1S	F. K. Gürkaynak
Kurzbeschreibung	Im "IIS Fachseminar" lernen die Studierenden Themen, Ideen oder Probleme der wissenschaftlichen Forschung zu vermitteln durch Hören von Vorträgen erfahrener Sprecher und durch eine eigene Präsentation einer wissenschaftlichen Arbeit in einer Konferenz-typischen Situation mit spezifischer Zuhörerschaft.
Lernziel	Das Seminar hat das Ziel, Studierenden und Doktorierenden die wichtigsten Grundlagen einer soliden Präsentationstechnik zu vermitteln. Die Teilnehmer haben die Gelegenheit, sich in ein aktuelles Thema durch Literaturstudium einzuarbeiten und die erzielten Ergebnisse in einem 20-minütigen Vortrag auf Englisch zu präsentieren. Der Besuch des Seminars ermöglicht, einen Überblick über aktuelle Probleme der Nanoelektronik und Bio-Elektromagnetik zu bekommen.
Inhalt	Das Seminar befasst sich mit aktuellen Themen des Designs von digitalen integrierten Schaltungen, der physikalischen Charakterisierung in der Nanoelektronik und der Bio-Elektromagnetik Simulation. Die Studiernden lernen Einführung in professionelles Literaturstudium, Präsentationstechnik, Planung und Erstellung eines wissenschaftlichen Vortrages.
Skript	Präsentationsunterlagen
Literatur	mit dem Betreuer zu diskutieren
227-0622-00L	Thermal Modeling: From Semiconductor to Medical Devices and Personalized Therapy Planning	W	4 KP	2V + 1U	E. Neufeld, M. Luisier
Kurzbeschreibung	The course introduces computational techniques to model electromagnetic heating across many orders of magnitudes, from the atomic to the macroscopic scale. Both desired and undesired thermal effects will be covered, e.g. thermal cancer therapies based on tissue heating or Joule heating in semiconductor devices. A wide range of simulation approaches and numerical methods will be introduced.
Lernziel	During this course the students will: - learn the physics governing and computational models describing electromagnetic-induced heating; - get familiar with computational simulation techniques across a wide range of spatial scales, incl. methods to simulate in vivo heating, considering thermoregulation and perfusion, or quantum mechanical approaches considering heat at the level of atomic vibrations; - implement and apply simulation techniques within a state-of-the-art open-source simulation platform for computational life sciences, as well as a framework for computer-aided design of semiconductor devices; - learn about remaining challenges in this field
Inhalt	The following topics will be discussed during the semester: - Introduction about electromagnetic heating (from its historical perspective to its application in biology); - Microscopic/Macroscopic thermal transport (governing equations, numerical methods, examples); - Numerical algorithms and their implementation in python and/or C++, parallelisation approaches, and high performance computing solutions; - Practical examples: thermal therapy planning with Sim4Life and technology computer aided design with OMEN; - Model verification and validation.
Skript	Lecture slides are distributed every week and can be found at https://iis-students.ee.ethz.ch/lectures/thermal-modeling/
Voraussetzungen / Besonderes	The course requires an open attitude towards interdisciplinarity, basic python scripting and C++ coding skills, undergraduate entry-level familiarity with electric & magnetic fields/forces, differential equations, calculus, and basic knowledge of biology and quantum mechanics.
227-0662-00L	Organic and Nanostructured Optics and Electronics (Course) Findet dieses Semester nicht statt.	W	3 KP	2G	V. Wood
Kurzbeschreibung	This course examines the optical and electronic properties of excitonic materials that can be leveraged to create thin-film light emitting devices and solar cells. Laboratory sessions provide students with experience in synthesis and optical characterization of nanomaterials as well as fabrication and characterization of thin film devices.
Lernziel	Gain the knowledge and practical experience to begin research with organic or nanostructured materials and understand the key challenges in this rapidly emerging field.
Inhalt	0-Dimensional Excitonic Materials (organic molecules and colloidal quantum dots) Energy Levels and Excited States (singlet and triplet states, optical absorption and luminescence). Excitonic and Polaronic Processes (charge transport, Dexter and Förster energy transfer, and exciton diffusion). Devices (photodetectors, solar cells, and light emitting devices).
Literatur	Lecture notes and reading assignments from current literature to be posted on website.
227-0662-10L	Organic and Nanostructured Optics and Electronics (Project) Findet dieses Semester nicht statt.	W	3 KP	2A	V. Wood
Kurzbeschreibung	This course examines the optical and electronic properties of excitonic materials that can be leveraged to create thin-film light emitting devices and solar cells. Laboratory sessions provide students with experience in synthesis and optical characterization of nanomaterials as well as fabrication and characterization of thin film devices.
Lernziel	Gain the knowledge and practical experience to begin research with organic or nanostructured materials and understand the key challenges in this rapidly emerging field.
Inhalt	0-Dimensional Excitonic Materials (organic molecules and colloidal quantum dots) Energy Levels and Excited States (singlet and triplet states, optical absorption and luminescence). Excitonic and Polaronic Processes (charge transport, Dexter and Förster energy transfer, and exciton diffusion). Devices (photodetectors, solar cells, and light emitting devices).
Literatur	Lecture notes and reading assignments from current literature to be posted on website.
Voraussetzungen / Besonderes	Admission is conditional to passing 227-0662-00L Organic and Nanostructured Optics and Electronics (Course)
227-0664-00L	Technology and Policy of Electrical Energy Storage	W	3 KP	2G	V. Wood, T. Schmidt
Kurzbeschreibung	With the global emphasis on decreasing CO2 emissions, achieving fossil fuel independence and growing the use of renewables, developing & implementing energy storage solutions for electric mobility & grid stabilization represent a key technology & policy challenge. This course uses lithium ion batteries as a case study to understand the interplay between technology, economics, and policy.
Lernziel	The students will learn of the complexity involved in battery research, design, production, as well as in investment, economics and policy making around batteries. Students from technical disciplines will gain insights into policy, while students from social science backgrounds will gain insights into technology.
Inhalt	With the global emphasis on decreasing CO2 emissions, achieving fossil fuel independence, and integrating renewables on the electric grid, developing and implementing energy storage solutions for electric mobility and grid stabilization represent a key technology and policy challenge. The class will focus on lithium ion batteries since they are poised to enter a variety of markets where policy decisions will affect their production, adoption, and usage scenarios. The course considers the interplay between technology, economics, and policy. * intro to energy storage for electric mobility and grid-stabilization * basics of battery operation, manufacturing, and integration * intro to the role of policy for energy storage innovation & diffusion * discussion of complexities involved in policy and politics of energy storage
Skript	Materials will be made available on the website.
Literatur	Materials will be made available on the website.
Voraussetzungen / Besonderes	Strong interest in energy and technology policy.
227-0669-00L	Chemistry of Devices and Technologies Limited to 30 participants.	W	4 KP	1V + 2U	M. Yarema
Kurzbeschreibung	The course covers basics of chemistry and material science, relevant for modern devices and technologies. The course consists from lecture, laboratory, and individual components. Students accomplish individual projects, in which they study and evaluate a chosen technology from chemistry and materials viewpoints.
Lernziel	The course brings relevant chemistry knowledge, tailored to the needs of electrical engineering students. Students will gain understanding of the basic concepts of chemistry and a chemist's intuition through hands-on workshops that combine tutorials and laboratory sessions as well as guidance through individual projects that require interdisciplinary and critical thinking. Students will learn which materials, reactions, and device fabrication processes are important for nowadays technologies and products. They will gain important knowledge of state-of-the-art technologies from materials and fabrication viewpoints.
Inhalt	Students will spend 3h per week in the tutorials and practical sessions and additional 4-6h per week working on individual projects. The goal of the individual student's project is to understand the chemistry related to the manufacture and operation of a specific device or technology (to be chosen from the list of projects). To ensure continued learning throughout the semester, individual projects are evaluated by three interim project reports and by 10 min final presentation.
Literatur	Lecture notes will be made available on the website.
227-0707-00L	Optimization Methods for Engineers	W	3 KP	2G	P. Leuchtmann
Kurzbeschreibung	Erste Semesterhälfte: Einführung in die wichtigsten Methoden der numerischen Optimierung mit Schwerpunkt auf stochastischen Verfahren wie genetische Algorithmen, evolutionäre Strategien, etc. Zweite Semesterhälfte: Jeder Teilnehmer implementiert ein ausgewähltes Optimierungsverfahren und wendet es auf ein praktisches Problem an.
Lernziel	Numerische Optimierung spielt eine zunehmende Rolle sowohl bei der Entwicklung technischer Produkte als auch bei der Entwicklung numerischer Methoden. Die Studenten sollen lernen, geeignete Verfahren auszuwählen, weiter zu entwickeln und miteinander zu kombinieren um so praktische Probleme effizient zu lösen.
Inhalt	Typische Optimierungsprobleme und deren Tücken werden skizziert. Bekannte deterministische Suchalgorithmen, Verfahren der kombinatorische Minimierung und evolutionäre Algorithmen werden vorgestellt und miteinander verglichen. Da Optimierungsprobleme im Ingenieurbereich oft sehr komplex sind, werden Wege zur Entwicklung neuer, effizienter Verfahren aufgezeigt. Solche Verfahren basieren oft auf einer Verallgemeinerung oder einer Kombination von bekannten Verfahren. Zur Veranschaulichung werden aus dem breiten Anwendungsbereich numerischer Optimierungsverfahren verschiedenartigste praktische Probleme herausgegriffen
Skript	PDF of a short skript (39 pages) plus the view graphs are provided
Voraussetzungen / Besonderes	Vorlesung nur in der 1. Semesterhälfte, Übungen in Form kleiner Projekte in der 2. Semesterhälfte, Präsentation der Resultate in der letzten Semesterwoche.

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