Suchergebnis: Katalogdaten im Herbstsemester 2016
Elektrotechnik und Informationstechnologie Master | ||||||
Fächer der Vertiefung Insgesamt 42 KP müssen im Masterstudium aus Vertiefungsfächern erreicht werden. Der individuelle Studienplan unterliegt der Zustimmung eines Tutors. | ||||||
Communication | ||||||
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Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
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227-0102-00L | Diskrete Ereignissysteme | W | 6 KP | 4G | L. Thiele, L. Vanbever, R. Wattenhofer | |
Kurzbeschreibung | Einführung in Diskrete Ereignissysteme (DES). Zuerst studieren wir populäre Modelle für DES. Im zweiten Teil analysieren wir DES, aus einer Average-Case und einer Worst-Case Sicht. Stichworte: Automaten und Sprachen, Spezifikationsmodelle, Stochastische DES, Worst-Case Ereignissysteme, Verifikation, Netzwerkalgebra. | |||||
Lernziel | Over the past few decades the rapid evolution of computing, communication, and information technologies has brought about the proliferation of new dynamic systems. A significant part of activity in these systems is governed by operational rules designed by humans. The dynamics of these systems are characterized by asynchronous occurrences of discrete events, some controlled (e.g. hitting a keyboard key, sending a message), some not (e.g. spontaneous failure, packet loss). The mathematical arsenal centered around differential equations that has been employed in systems engineering to model and study processes governed by the laws of nature is often inadequate or inappropriate for discrete event systems. The challenge is to develop new modeling frameworks, analysis techniques, design tools, testing methods, and optimization processes for this new generation of systems. In this lecture we give an introduction to discrete event systems. We start out the course by studying popular models of discrete event systems, such as automata and Petri nets. In the second part of the course we analyze discrete event systems. We first examine discrete event systems from an average-case perspective: we model discrete events as stochastic processes, and then apply Markov chains and queuing theory for an understanding of the typical behavior of a system. In the last part of the course we analyze discrete event systems from a worst-case perspective using the theory of online algorithms and adversarial queuing. | |||||
Inhalt | 1. Introduction 2. Automata and Languages 3. Smarter Automata 4. Specification Models 5. Stochastic Discrete Event Systems 6. Worst-Case Event Systems 7. Network Calculus | |||||
Skript | Available | |||||
Literatur | [bertsekas] Data Networks Dimitri Bersekas, Robert Gallager Prentice Hall, 1991, ISBN: 0132009161 [borodin] Online Computation and Competitive Analysis Allan Borodin, Ran El-Yaniv. Cambridge University Press, 1998 [boudec] Network Calculus J.-Y. Le Boudec, P. Thiran Springer, 2001 [cassandras] Introduction to Discrete Event Systems Christos Cassandras, Stéphane Lafortune. Kluwer Academic Publishers, 1999, ISBN 0-7923-8609-4 [fiat] Online Algorithms: The State of the Art A. Fiat and G. Woeginger [hochbaum] Approximation Algorithms for NP-hard Problems (Chapter 13 by S. Irani, A. Karlin) D. Hochbaum [schickinger] Diskrete Strukturen (Band 2: Wahrscheinlichkeitstheorie und Statistik) T. Schickinger, A. Steger Springer, Berlin, 2001 [sipser] Introduction to the Theory of Computation Michael Sipser. PWS Publishing Company, 1996, ISBN 053494728X | |||||
227-0103-00L | Regelsysteme | W | 6 KP | 2V + 2U | F. Dörfler | |
Kurzbeschreibung | Study of concepts and methods for the mathematical description and analysis of dynamical systems. The concept of feedback. Design of control systems for single input - single output and multivariable systems. | |||||
Lernziel | Study of concepts and methods for the mathematical description and analysis of dynamical systems. The concept of feedback. Design of control systems for single input - single output and multivariable systems. | |||||
Inhalt | Process automation, concept of control. Modelling of dynamical systems - examples, state space description, linearisation, analytical/numerical solution. Laplace transform, system response for first and second order systems - effect of additional poles and zeros. Closed-loop control - idea of feedback. PID control, Ziegler - Nichols tuning. Stability, Routh-Hurwitz criterion, root locus, frequency response, Bode diagram, Bode gain/phase relationship, controller design via "loop shaping", Nyquist criterion. Feedforward compensation, cascade control. Multivariable systems (transfer matrix, state space representation), multi-loop control, problem of coupling, Relative Gain Array, decoupling, sensitivity to model uncertainty. State space representation (modal description, controllability, control canonical form, observer canonical form), state feedback, pole placement - choice of poles. Observer, observability, duality, separation principle. LQ Regulator, optimal state estimation. | |||||
Literatur | K. J. Aström & R. Murray. Feedback Systems: An Introduction for Scientists and Engineers. Princeton University Press, 2010. R. C. Dorf and R. H. Bishop. Modern Control Systems. Prentice Hall, New Jersey, 2007. G. F. Franklin, J. D. Powell, and A. Emami-Naeini. Feedback Control of Dynamic Systems. Addison-Wesley, 2010. J. Lunze. Regelungstechnik 1. Springer, Berlin, 2014. J. Lunze. Regelungstechnik 2. Springer, Berlin, 2014. | |||||
Voraussetzungen / Besonderes | Prerequisites: Signal and Systems Theory II. MATLAB is used for system analysis and simulation. | |||||
227-0112-00L | High-Speed Signal Propagation | W | 6 KP | 2V + 2U | C. Bolognesi | |
Kurzbeschreibung | Verständnis der Hochgeschwindigkeits-Signalausbreitung in Mikrowellenkabel, integr. Mikrowellenschaltungen und Leiterplatten. Da Sytemtaktfrequenzen stets in höhere GHz Bereiche vordringen, ist es notwendig die Hochgeschwindigkeits-Signalausbreitung zu verstehen, um Signalintegrität zu gewährleisten. Der Kurs richtet sich an Interessierte an analogen/digitalen Hochgeschwindigkeitssystemen. | |||||
Lernziel | Verständnis der Hochgeschwindigkeits-Signalausbreitung in Verbindungsleitern, Mikrowellenkabel und integrierten Übertragungsleitungen wie zum Beispiel in integrierten Mikrowellenschaltungen und/oder Leiterplatten. Da Systemtaktfrequenzen kontinuierlich in höhere GHz Bereiche vordringen, entwickelt sich das dringende Bedürfnis die Hochgeschwindigkeits-Signalausbreitung zu verstehen um nach wie vor eine hohe Signalintegrität zu gewährleisten, insbesondere angesichts Phänomenen wie der Intersymbol-Interferenz (ISI) und des Übersprechens. Konzepte wie Streuparameter (oder S-Parameter) übernehmen eine Schlüsselrolle in der Charakterisierung von Netzwerken über grosse Bandbreiten. Bei hohen Frequenzen werden alle Strukturen effektiv zu "Übertragungsleitungen". Ohne besondere Vorsicht ist es sehr wahrscheinlich, dass eine schlecht entworfene Übertragungsleitung zum Versagen des gesamten entworfenen Systems führt. Filter werden ebenfalls behandelt, da sich herausstellt, dass einige der Probleme von verlustbehafteten Übertragungskanälen (Leitungen, Kabel, etc.) durch adäquates filtern korrigiert werden können. Ein Prozess der "Entzerrung" genannt wird. | |||||
Inhalt | Leitungsgleichungen der TEM-Leitung (Telegraphengleichungen). Beschreibung elektrischer Grössen auf der TEM Leitung; Reflexion im Zeit- und Frequenzbereich, Smith-Diagramm. Verhalten schwach bedämpfter Leitungen. Einfluss des Skineffekts auf Dämpfung und Impulsverzerrung. Leitungsersatzschaltungen. Gruppenlaufzeit und Dispersion. Eigenschaften gekoppelter Leitungen. Streuparameter. Butterworth-, Tschebyscheff- und Besselfilter: Einführung zum Filterentwurf mit Filterprototypen (Tiefpass, Hochpass, Bandpass, Bandsperre). Einfache aktive Filter. | |||||
Skript | Skript: Leitungen und Filter (In deutscher Sprache). | |||||
Voraussetzungen / Besonderes | Die Uebungen werden auf Deutsch gehalten. Assistants also speak English. | |||||
227-0166-00L | Analog Integrated Circuits | W | 6 KP | 2V + 2U | Q. Huang | |
Kurzbeschreibung | This course provides a foundation in analog integrated circuit design based on bipolar and CMOS technologies. | |||||
Lernziel | Integrated circuits are responsible for much of the progress in electronics in the last 50 years, particularly the revolutions in the Information and Communications Technologies we witnessed in recent years. Analog integrated circuits play a crucial part in the highly integrated systems that power the popular electronic devices we use daily. Understanding their design is beneficial to both future designers and users of such systems. The basic elements, design issues and techniques for analog integrated circuits will be taught in this course. | |||||
Inhalt | Review of bipolar and MOS devices and their small-signal equivalent circuit models; Building blocks in analog circuits such as current sources, active load, current mirrors, supply independent biasing etc; Amplifiers: differential amplifiers, cascode amplifier, high gain structures, output stages, gain bandwidth product of op-amps; Stability; Comparators; Second-order effects in analog circuits such as mismatch, noise and offset; A/D and D/A converters; Introduction to switched capacitor circuits. The exercise sessions aim to reinforce the lecture material by well guided step-by-step design tasks. The circuit simulator SPECTRE is used to facilitate the tasks. There is also an experimental session on op-amp measurments. | |||||
Skript | Handouts of presented slides. No script but an accompanying textbook is recommended. | |||||
Literatur | Gray, Hurst, Lewis, Meyer, "Analysis and Design of Analog Integrated Circuits", 5th Ed. Wiley, 2010. | |||||
227-0301-00L | Optical Communication Fundamentals | W | 6 KP | 2V + 1U + 1P | J. Leuthold | |
Kurzbeschreibung | The path of an analog signal in the transmitter to the digital world in a communication link and back to the analog world at the receiver is discussed. The lecture covers the fundamentals of all important optical and optoelectronic components in a fiber communication system. This includes the transmitter, the fiber channel and the receiver with the electronic digital signal processing elements. | |||||
Lernziel | An in-depth understanding on how information is transmitted from source to destination. Also the mathematical framework to describe the important elements will be passed on. Students attending the lecture will further get engaged in critical discussion on societal, economical and environmental aspects related to the on-going exponential growth in the field of communications. | |||||
Inhalt | * Chapter 1: Introduction: Analog/Digital conversion, The communication channel, Shannon channel capacity, Capacity requirements. * Chapter 2: The Transmitter: Components of a transmitter, Lasers, The spectrum of a signal, Optical modulators, Modulation formats. * Chapter 3: The Optical Fiber Channel: Geometrical optics, The wave equations in a fiber, Fiber modes, Fiber propagation, Fiber losses, Nonlinear effects in a fiber. * Chapter 4: The Receiver: Photodiodes, Receiver noise, Detector schemes (direct detection, coherent detection), Bit-error ratios and error estimations. * Chapter 5: Digital Signal Processing Techniques: Digital signal processing in a coherent receiver, Error detection teqchniques, Error correction coding. * Chapter 6: Pulse Shaping and Multiplexing Techniques: WDM/FDM, TDM, OFDM, Nyquist Multiplexing, OCDMA. * Chapter 7: Optical Amplifiers : Semiconductor Optical Amplifiers, Erbium Doped Fiber Amplifiers, Raman Amplifiers. | |||||
Skript | Lecture notes are handed out. | |||||
Literatur | Govind P. Agrawal; "Fiber-Optic Communication Systems"; Wiley, 2010 | |||||
Voraussetzungen / Besonderes | Fundamentals of Electromagnetic Fields & Bachelor Lectures on Physics. | |||||
227-0377-00L | Physics of Failure and Failure Analysis of Electronic Devices and Equipment | W | 3 KP | 2V | U. Sennhauser | |
Kurzbeschreibung | Failures have to be avoided by proper design, material selection and manufacturing. Properties, degradation mechanisms, and expected lifetime of materials are introduced and the basics of failure analysis and analysis equipment are presented. Failures will be demonstrated experimentally and the opportunity is offered to perform a failure analysis with advanced equipment in the laboratory. | |||||
Lernziel | Introduction to the degradation and failure mechanisms and causes of electronic components, devices and systems as well as to methods and tools of reliability testing, characterization and failure analysis. | |||||
Inhalt | Summary of reliability and failure analysis terminology; physics of failure: materials properties, physical processes and failure mechanisms; failure analysis of ICs, PCBs, opto-electronics, discrete and other components and devices; basics and properties of instruments; application in circuit design and reliability analysis | |||||
Skript | Comprehensive copy of transparencies | |||||
227-0447-00L | Image Analysis and Computer Vision | W | 6 KP | 3V + 1U | L. Van Gool, O. Göksel, E. Konukoglu | |
Kurzbeschreibung | Light and perception. Digital image formation. Image enhancement and feature extraction. Unitary transformations. Color and texture. Image segmentation and deformable shape matching. Motion extraction and tracking. 3D data extraction. Invariant features. Specific object recognition and object class recognition. | |||||
Lernziel | Overview of the most important concepts of image formation, perception and analysis, and Computer Vision. Gaining own experience through practical computer and programming exercises. | |||||
Inhalt | The first part of the course starts off from an overview of existing and emerging applications that need computer vision. It shows that the realm of image processing is no longer restricted to the factory floor, but is entering several fields of our daily life. First it is investigated how the parameters of the electromagnetic waves are related to our perception. Also the interaction of light with matter is considered. The most important hardware components of technical vision systems, such as cameras, optical devices and illumination sources are discussed. The course then turns to the steps that are necessary to arrive at the discrete images that serve as input to algorithms. The next part describes necessary preprocessing steps of image analysis, that enhance image quality and/or detect specific features. Linear and non-linear filters are introduced for that purpose. The course will continue by analyzing procedures allowing to extract additional types of basic information from multiple images, with motion and depth as two important examples. The estimation of image velocities (optical flow) will get due attention and methods for object tracking will be presented. Several techniques are discussed to extract three-dimensional information about objects and scenes. Finally, approaches for the recognition of specific objects as well as object classes will be discussed and analyzed. | |||||
Skript | Course material Script, computer demonstrations, exercises and problem solutions | |||||
Voraussetzungen / Besonderes | Prerequisites: Basic concepts of mathematical analysis and linear algebra. The computer exercises are based on Linux and C. The course language is English. | |||||
227-0455-00L | Terahertz: Technology & Applications | W | 3 KP | 2V | K. Sankaran | |
Kurzbeschreibung | This 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, communications, and energy harvesting. | |||||
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 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, communication and energy harvesting. | |||||
Inhalt | 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 Chapter 7: THz Communication Chapter 8: THz Energy Harvesting | |||||
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 Whenever we deviate from the main material discussed in these books, softcopy of lectures notes will be provided. | |||||
Voraussetzungen / Besonderes | Good foundation in electromagnetics & knowledge of microwave or optical communication is helpful. | |||||
227-0468-00L | Analog Signal Processing and Filtering Suitable for Master Students as well as Doctoral Students. | W | 6 KP | 2V + 2U | H. Schmid | |
Kurzbeschreibung | This lecture provides a wide overview over analog filters (continuous-time and discrete-time), signal-processing systems, and sigma-delta conversion, and gives examples with sensor interfaces and class-D audio drivers. All systems and circuits are treated using a signal-flow view. The lecture is suitable for both analog and digital designers. | |||||
Lernziel | This lecture provides a wide overview over analog filters (continuous-time and discrete-time), signal-processing systems, and sigma-delta conversion, and gives examples with sensor interfaces and class-D audio drivers. All systems and circuits are treated using a signal-flow view. The lecture is suitable for both analog and digital designers. The way the exam is done allows for the different interests of the two groups. The learning goal is that the students can apply signal-flow graphs and can understand the signal flow in such circuits and systems (including non-ideal effects) well enough to gain an understanding of further circuits and systems by themselves. | |||||
Inhalt | At the beginning, signal-flow graphs in general and driving-point signal-flow graphs in particular are introduced. We will use them during the whole term to analyze circuits and understand how signals propagate through them. The theory and CMOS implementation of active Filters is then discussed in detail using the example of Gm-C filters and active-RC filters. The ideal and nonideal behaviour of opamps, current conveyors, and inductor simulators follows. The link to the practical design of circuits and systems is done with an overview over different quality measures and figures of merit used in scientific literature and datasheets. Finally, an introduction to discrete-time and mixed-domain filters and circuits is given, including sensor read-out amplifiers, correlated double sampling, and chopping, and an introduction to sigma-delta A/D and D/A conversion on a system level. | |||||
Skript | The base for these lectures are lecture notes and two or three published scientific papers. From these papers we will together develop the technical content. Details: Link Some material is protected by password; students from ETHZ who are interested can write to Link to ask for the password even if they do not attend the lecture. | |||||
Voraussetzungen / Besonderes | Prerequisites: Recommended (but not required): Stochastic models and signal processing, Communication Electronics, Analog Integrated Circuits, Transmission Lines and Filters. Knowledge of the Laplace transform and z transform and their interpretation (transfer functions, poles and zeros, bode diagrams, stability criteria ...) and of the main properties of linear systems is necessary. | |||||
227-0477-00L | Acoustics I | W | 6 KP | 4G | K. Heutschi | |
Kurzbeschreibung | Introduction to the fundamentals of acoustics in the area of sound field calculations, measurement of acoustical events, outdoor sound propagation and room acoustics of large and small enclosures. | |||||
Lernziel | Introduction to acoustics. Understanding of basic acoustical mechanisms. Survey of the technical literature. Illustration of measurement techniques in the laboratory. | |||||
Inhalt | Fundamentals of acoustics, measuring and analyzing of acoustical events, anatomy and properties of the ear. Outdoor sound propagation, absorption and transmission of sound, room acoustics of large and small enclosures, architectural acoustics, noise and noise control, calculation of sound fields. | |||||
Skript | yes | |||||
227-0778-00L | Hardware/Software Codesign | W | 6 KP | 2V + 2U | L. Thiele | |
Kurzbeschreibung | Die Lehrveranstaltung vermittelt fortgeschrittene Kenntnisse im Entwurf komplexer Computersysteme, vor allem eingebettete Systeme. Speziell werden den Studierenden Modelle und Methoden vermittelt, die grundlegend sind fuer den Entwurf von Systemen, die aus Software- und Hardware Komponenten bestehen. | |||||
Lernziel | Die Lehrveranstaltung vermittelt fortgeschrittene Kenntnisse im Entwurf komplexer Computersysteme, vor allem eingebettete Systeme. Speziell werden den Studierenden Modelle und Methoden vermittelt, die grundlegend sind fuer den Entwurf von Systemen, die aus Software- und Hardware Komponenten bestehen. | |||||
Inhalt | Die Lehrveranstaltung vermittelt die folgenden Kenntnisse: (a) Modelle zur Beschreibung von Hardware und Software, (b) Hardware-Software Schnittstellen (Instruktionssatz, Hardware- und Software Komponenten, rekonfigurierbare Architekturen und FPGAs, heterogene Rechnerarchitekturen, System-on-Chip), (c) Anwendungsspezifische Prozessoren und Codegenerierung, (d) Performanzanalzyse und Schaetzung, (e) Systementwurf (Hardware-Software Partitionierung und Explorationsverfahren). | |||||
Skript | Unterlagen zur Übung, Kopien der Vorlesungsunterlagen. | |||||
Literatur | Peter Marwedel, Embedded System Design, Springer, ISBN-13 978-94-007-0256-1, 2011. Wayne Wolf. Computers as Components. Morgan Kaufmann, ISBN-13: 978-0123884367, 2012. | |||||
Voraussetzungen / Besonderes | Voraussetzung zum Besuch der Veranstaltung sind Basiskenntnisse in den folgenden Bereichen: Rechnerarchitektur, Digitaltechnik, Softwareentwurf, eingebettete Systeme | |||||
252-0535-00L | Machine Learning | W | 8 KP | 3V + 2U + 2A | J. M. Buhmann | |
Kurzbeschreibung | Machine learning algorithms provide analytical methods to search data sets for characteristic patterns. Typical tasks include the classification of data, function fitting and clustering, with applications in image and speech analysis, bioinformatics and exploratory data analysis. This course is accompanied by practical machine learning projects. | |||||
Lernziel | Students will be familiarized with the most important concepts and algorithms for supervised and unsupervised learning; reinforce the statistics knowledge which is indispensible to solve modeling problems under uncertainty. Key concepts are the generalization ability of algorithms and systematic approaches to modeling and regularization. A machine learning project will provide an opportunity to test the machine learning algorithms on real world data. | |||||
Inhalt | The theory of fundamental machine learning concepts is presented in the lecture, and illustrated with relevant applications. Students can deepen their understanding by solving both pen-and-paper and programming exercises, where they implement and apply famous algorithms to real-world data. Topics covered in the lecture include: - Bayesian theory of optimal decisions - Maximum likelihood and Bayesian parameter inference - Classification with discriminant functions: Perceptrons, Fisher's LDA and support vector machines (SVM) - Ensemble methods: Bagging and Boosting - Regression: least squares, ridge and LASSO penalization, non-linear regression and the bias-variance trade-off - Non parametric density estimation: Parzen windows, nearest nieghbour - Dimension reduction: principal component analysis (PCA) and beyond | |||||
Skript | No lecture notes, but slides will be made available on the course webpage. | |||||
Literatur | C. Bishop. Pattern Recognition and Machine Learning. Springer 2007. R. Duda, P. Hart, and D. Stork. Pattern Classification. John Wiley & Sons, second edition, 2001. T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning: Data Mining, Inference and Prediction. Springer, 2001. L. Wasserman. All of Statistics: A Concise Course in Statistical Inference. Springer, 2004. | |||||
Voraussetzungen / Besonderes | The course requires solid basic knowledge in analysis, statistics and numerical methods for CSE as well as practical programming experience for solving assignments. Students should at least have followed one previous course offered by the Machine Learning Institute (e.g., CIL or LIS) or an equivalent course offered by another institution. | |||||
263-4640-00L | Network Security | W | 6 KP | 2V + 1U + 2A | A. Perrig, T. P. Dübendorfer, S. Frei | |
Kurzbeschreibung | This lecture discusses fundamental concepts and technologies in the area of network security. Several case studies illustrate the dark side of the Internet and explain how to protect against such threats. A hands-on computer lab that accompanies the lecture gives a deep dive on firewalls, penetration testing and intrusion detection. | |||||
Lernziel | •Students are aware of current threats that Internet services and networked devices face and can explain appropriate countermeasures. •Students can identify and assess known vulnerabilities in a software system that is connected to the Internet. •Students know fundamental network security concepts. •Students have an in-depth understanding of important security technologies. •Students know how to configure a real firewall and know some penetration testing tools from their own experience. | |||||
Inhalt | Risk management and the vulnerability lifecycle of software and networked services are discussed. Threats like denial of service, spam, worms, and viruses are studied in-depth. Fundamental security related concepts like identity, availability, authentication and secure channels are introduced. State of the art technologies like secure shell, network and transport layer security, intrusion detection and prevention systems, cross-site scripting, secure implementation techniques and more for securing the Internet and web applications are presented. Several case studies illustrate the dark side of the Internet and explain how to protect against current threats. A hands-on computer lab that accompanies the lecture gives a deep dive on firewalls, penetration testing and intrusion detection. This lecture is intended for students with an interest in securing Internet services and networked devices. Students are assumed to have knowledge in networking as taught in the Communication Networks lecture. | |||||
Voraussetzungen / Besonderes | Knowldedge in computer networking and Internet protocols (e.g. course Communication Networks (D-ITET) or Operating Systems and Networks (D-INFK). Due to recent changes in the Swiss law, ETH requires each student of this course to sign a written declaration that he/she will not use the information given in this for illegal purposes. This declaration will have to be signed and submitted no later than at the beginning of the second lesson. |
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