Search result: Catalogue data in Spring Semester 2020
|Electrical Engineering and Information Technology Bachelor|
| Third Year Core Courses|
Can be freely combined, a list of recommendations is available under www.ee.ethz.ch/bachelor-kernfaecher
|227-0104-00L||Communication and Detection Theory||W||6 credits||4G||A. Lapidoth|
|Abstract||This course teaches the foundations of modern digital communications and detection theory. Topics include the geometry of the space of energy-limited signals; the baseband representation of passband signals, spectral efficiency and the Nyquist Criterion; the power and power spectral density of PAM and QAM; hypothesis testing; Gaussian stochastic processes; and detection in white Gaussian noise.|
|Objective||This is an introductory class to the field of wired and wireless communication. It offers a glimpse at classical analog modulation (AM, FM), but mainly focuses on aspects of modern digital communication, including modulation schemes, spectral efficiency, power budget analysis, block and convolu- tional codes, receiver design, and multi- accessing schemes such as TDMA, FDMA and Spread Spectrum.|
|Content||- Baseband representation of passband signals.|
- Bandwidth and inner products in baseband and passband.
- The geometry of the space of energy-limited signals.
- The Sampling Theorem as an orthonormal expansion.
- Sampling passband signals.
- Pulse Amplitude Modulation (PAM): energy, power, and power spectral density.
- Nyquist Pulses.
- Quadrature Amplitude Modulation (QAM).
- Hypothesis testing.
- The Bhattacharyya Bound.
- The multivariate Gaussian distribution
- Gaussian stochastic processes.
- Detection in white Gaussian noise.
|Literature||A. Lapidoth, A Foundation in Digital Communication, Cambridge University Press, 2nd edition (2017)|
|227-0111-00L||Communication Electronics||W||6 credits||2V + 2U||Q. Huang|
|Abstract||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.|
|Objective||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.|
|Content||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.
|Lecture notes||Script is available online under https://iis-students.ee.ethz.ch/lectures/communication-electronics/|
|Prerequisites / Notice||The course Analog Integrated Circuits is recommended as preparation for this course.|
|227-0117-10L||Experimental Techniques||W||6 credits||4G||C. Franck, H.‑J. Weber|
|Abstract||This lecture is an introduction to experimental and measurement techniques. The course is designed with practical relevance in mind and comprises several laboratory modules where the students perform, evaluate and document experiments. The taught topics are of relevance for all electrical engineering disciplines, in this course they are taught with examples of high-voltage engineering.|
|Objective||At the end of this lecture, the students will be able to:|
- perform basic practical laboratory experiments and record data, in particular with an oscilloscope.
- take a meaningful Lab Notebook, write a clear measurement evaluation protocol, and can estimate the accuracy and precision of the evaluated data.
- can explain the main reasons for electromagnetic interference and propose measures to avoid or reduce these interferences.
- Explain and use different methods to generate and measure high voltages and calculate basic relevant relations.
|Content||- Messtechnik, Messunsicherheit, Messprotokolle|
- Erzeugung und Messung hoher Spannungen
- Elektromagnetische Verträglichkeit
|Literature||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)
|227-0120-00L||Communication Networks||W||6 credits||4G||L. Vanbever|
|Abstract||At the end of this course, you will understand the fundamental concepts behind communication networks and the Internet. Specifically, you will be able to:|
- understand how the Internet works;
- build and operate Internet-like infrastructures;
- identify the right set of metrics to evaluate the performance of a network and propose ways to improve it.
|Objective||At the end of the course, the students will understand the fundamental concepts of communication networks and Internet-based communications. Specifically, students will be able to:|
- understand how the Internet works;
- build and operate Internet-like network infrastructures;
- identify the right set of metrics to evaluate the performance or the adequacy of a network and propose ways to improve it (if any).
The course will introduce the relevant mechanisms used in today's networks both from an abstract perspective but also from a practical one by presenting many real-world examples and through multiple hands-on projects.
For more information about the lecture, please visit: https://comm-net.ethz.ch
|Lecture notes||Lecture notes and material for the course will be available before each course on: https://comm-net.ethz.ch|
|Literature||Most of course follows the textbook "Computer Networking: A Top-Down Approach (6th Edition)" by Kurose and Ross.|
|Prerequisites / Notice||No prior networking background is needed. The course will include some programming assignments (in Python) for which the material covered in Technische Informatik 1 (227-0013-00L) and Technische Informatik 2 (227-0014-00L) will be useful.|
|227-0125-00L||Optics and Photonics||W||6 credits||2V + 2U||J. Leuthold|
|Abstract||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.|
|Objective||A sound base for work in the field of optics and photonics will be given.|
|Content||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
|Lecture notes||Lecture notes will be handed out.|
|Prerequisites / Notice||Fundamentals of Electromagnetic Fields (Maxwell Equations) & Bachelor Lectures on Physics.|
|227-0156-00L||Power Semiconductors||W||6 credits||4G||U. Grossner|
|Abstract||Power semiconductor devices are the core of today's energy efficient electronics. In this course, based on semiconductor physics, an understanding of the functionality of modern power devices is developed. Elements of power rectifiers and switches are introduced; device concepts for PiN diodes, IGBTs, and power MOSFETs, are discussed. Apart from silicon, wide bandgap semiconductors are considered.|
|Objective||The goal of this course is developing an understanding of modern power device concepts. After following the course, the student will be able to choose a power device for an application, know the basic functionality, and is able to describe the performance and reliability related building blocks of the device design. Furthermore, the student will have an understanding of current and future developments in power devices.|
|Content||Basic semiconductor device physics is revisited. After defining requirements from typical applications, the key building blocks - especially active area and termination - of power devices are introduced. Based on these building blocks, device concepts are derived. Introducing unipolar as well as bipolar conduction is increasing the application space for power devices. Rectifiers, such as Schottky barrier and PiN diodes, and switches, such as IGBTs and power MOSFETs are discussed in detail. For each device concept, a tradeoff analysis for performance and reliability based on the layout of the building blocks is discussed.|
Apart from silicon, wide bandgap semiconductors play an increasing role for highly efficient power electronic devices. This development is taken into account by discussing the specific advantages and challenges in current wide bandgap based devices.
|Lecture notes||Will be distributed at lectures.|
|Literature||The course follows a collection of different books; more details are being listed in the script.|
|Prerequisites / Notice||Vorlesungen Halbleiterbauelemente, Leistungselektronik|
|227-0395-00L||Neural Systems||W||6 credits||2V + 1U + 1A||R. Hahnloser, M. F. Yanik, B. Grewe|
|Abstract||This course introduces principles of information processing in neural systems. It covers basic neuroscience for engineering students, experiment techniques used in animal research and methods for inferring neural mechanisms. Students learn about neural information processing and basic principles of natural intelligence and their impact on artificially intelligent systems.|
|Objective||This course introduces |
- Basic neurophysiology and mathematical descriptions of neurons
- Methods for dissecting animal behavior
- Neural recordings in intact nervous systems and information decoding principles
- Methods for manipulating the state and activity in selective neuron types
- Neuromodulatory systems and their computational roles
- Reward circuits and reinforcement learning
- Imaging methods for reconstructing the synaptic networks among neurons
- Birdsong and language
- Neurobiological principles for machine learning.
|Content||From active membranes to propagation of action potentials. From synaptic physiology to synaptic learning rules. From receptive fields to neural population decoding. From fluorescence imaging to connectomics. Methods for reading and manipulation neural ensembles. From classical conditioning to reinforcement learning. From the visual system to deep convolutional networks. Brain architectures for learning and memory. From birdsong to computational linguistics.|
|Prerequisites / Notice||Before taking this course, students are encouraged to complete "Bioelectronics and Biosensors" (227-0393-10L).|
As part of the exercises for this class, students are expected to complete a programming or literature review project to be defined at the beginning of the semester.
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