Search result: Catalogue data in Spring Semester 2009

Number	Title	Type	ECTS	Hours	Lecturers
Computational Science and Engineering Master
Electives
151-0110-00L	Compressible Flows	W	4 credits	2V + 1U	J.‑P. Kunsch
Abstract	Topics: acoustics, sound propagation in homogeneous and stratified environment, supersonic flows with shocks and Prandtl-Meyer expansions, flow around slender bodies, shock tubes, reaction fronts (deflagrations and detonations). Mathematical tools: method of characteristics and selected numerical methods.
Objective	Illustration der Physik der kompressiblen Strömungen und Üben der mathematischen Methoden anhand einfacher Beispiele.
Content	Die Kompressibilität im Zusammenspiel mit der Trägheit führen zu Wellen in einem Fluid. So spielt die Kompressibilität bei instationären Vorgängen (Schwingungen in Gasleitungen, Auspuffrohren usw.) eine wichtige Rolle. Auch bei stationären Unterschallströmungen mit hoher Machzahl oder bei Überschallströmungen muss die Kompressibilität berücksichtigt werden (Flugtechnik, Turbomaschinen usw.). In dem ersten Teil der Vorlesung werden die Ausbreitungsphänomene für Wellen in akustischer Näherung behandelt (eine Anwendung ist die Schallausbreitung in homogener und in geschichteter Umgebung). Schlanke Körper in einer Parallelströmung werden als schwache Störungen der Strömung angesehen und können auch mit den Methoden der Akustik behandelt werden. In dem zweiten Teil werden starke Störungen behandelt. Themen sind Verdichtungsstösse und Strömungen mit Energiezufuhr über eine Reaktionsfront (Deflagrationen und Detonationen). Zu der Beschreibung der zweidimensionalen Überschallströmungen gehören schräge Verdichtungsstösse, Prandtl -Meyer Expansionen usw.. Unterschiedliche Randbedingungen (Wände usw.) und Wechselwirkungen, Reflexionen werden berücksichtigt. Die Vorlesung schliesst ab mit der Behandlung von Hyperschallströmungen, die z.B. bei der Raumfahrt auftreten.
Lecture notes	nein
Literature	Eine Literaturliste wird am Anfang der Vorlesung abgegeben.
Prerequisites / Notice	Voraussetzungen: Fluiddynamik I und II
151-0114-00L	Turbulence Modeling	W	4 credits	2V + 1U	P. Jenny
Abstract	In the study of turbulent flows the objective is to obtain a tractable quantitative theory or model to calculate quantities of interest. A century of expertise has shown the 'turbulence problem' to be notoriously difficult, and there are no prospects of a simple analytic theory. In this class, five of the leading computational approaches to turbulent flows are described and examined.
Objective	The goal of this class is to give an good overview of current turbulence modeling approaches, but also to help developing a feeling for advantages and limitations of the various classes of models.
Content	1. Introduction to Modeling: The goal here is to present an overview of different approaches, point out the main challenges and discuss general criteria for turbulence models 2. Direct Numerical Simulation (DNS): After the basics of DNS are introduced, applications to homogeneous and inhomogeneous turbulent flows are discussed. 3. Turbulent-Viscosity Models: The implications due to the underlying assumption, the turbulent viscosity hypothesis, are explained and discussed. Then, specific models belonging to the classes of algebraic, one-equation and two-equation models are introduced. 4. Reynolds-Stress Models: After a brief discussion of the concept and the advantage above turbulent-viscosity models, most of the time will be spent for "return-to-isotropy models, near-wall treatments and algebraic stress models. 5. Probability Density Function (PDF) Methods: This part is at the center of this class. First, the concept of PDF modeling is explained and the PDF transport equation is derived, discussed and analyzed. It is shown that turbulent transport and reaction source terms appear in closed form. However, models are required to close other terms. Then, consistent Lagrangean models are presented. Using these equations and models, corresponding Reynolds-stress models are derived. It is demonstrated how the PDF transport equation can be used to analyze turbulent flows, even without using the PDF approach for simulations. 6. Large-Eddy Simulation (LES) The basic concepts of LES are introduced. After a discussion of filtering, the filtered conservation equations are derived. As an example of a sub-grid model the Smagorinsky model is presented and finally the perspectives of LES are discussed.
Lecture notes	The course is partly based on part two of the book "Turbulent Flows" by Stephen B. Pope published by Cambridge University Press, 2000. In addition, we hand out a manuscript, which contains not all the course material, however.
Literature	S. B. Pope, Turbulent Flows, Cambridge University Press, 2000
151-0834-00L	Forming Technology II - Introduction Virtual Process Modelling	W	4 credits	2V + 2U	P. Hora
Abstract	The lecture imparts the principles of the nonlinear Finite-Element-Methods (FEM), implicit and explicit FEM-integration procedures for quasistatic applications, modeling of coupled thermo-mechanical problems, modeling of time dependent contact conditions, modeling of the nonlinear material behaviour, modeling of friction, FEM-based prediction of failure by means of cracks and crinkles.
Objective	Prozess optimization through numerical methods
Content	Application of virtual simulation methods for planning and optimization of metal-forming processes. Fundamentals of virtual simulation processes, based on Finite-Element-Methods (FEM) and Finite-Difference-Methods (FDM). Introduction to the basics of continuum and plasto mechanics to mathematically describe the plastic material flow of metals. The procedures to acquire process relevant features. The exercises include the application of industrial simulation tools for deep drawing in automotive applications, high pressure inner metal working (space frame) and rod extrusion.
Lecture notes	yes
151-0836-00L	Virtual Process Control in Forming Manufacturing Systems Does not take place this semester.	W	5 credits	2V + 2U	P. Hora
Abstract	Introduction to the methods of virtual modeling of manufacturing processes, illustrated with examples from the digital automotive plant and others. The lecture presents an opportunity to learn the application of non-linear finite element analysis and optimization methods and also adresses stochastical methods for the control of the robust processes.
Objective	Integral study of virtual planning technologies in forming manufacturing systems
Content	Introduction to the methods of digital plant modeling. Examples: digital automitive plant, digital space-frame manufacturing, digital extrusion plant. Methods: virtual modeling of complex forming processes, non-linear FEA, optimization methods, stochastical methods.
Lecture notes	yes
151-0838-00L	Computational Methods in Micro- and Nano-Structures	W	5 credits	2V + 2U	P. Hora, R. M. Grüebler, A. Wahlen
Abstract	Fundamentals of computational modeling of micro- and nanostructures are treated, including the basics of molecular dynamics, microstructure scale crystal plasticity modeling and cellular automata methods. The different computational methods presented are taught with an emphasis on materials modeling.
Objective	Microstructures and especially nanostructures involve very few grains or even molecular layers. Conventional continuum mechanical modeling is no longer valid for these structures. This course treats computational methods, which include a description of material behavior at the microstructure scale, and can therefore be implemented in modeling micro- and nano-structures.
Content	Fundamentals of computational modeling of micro- and nanostructures are treated, indcluding the basics of molecular dynamics, microstructure scale crystal plasticity modelling and cellular automata methods. The different computational methods presented are taught with an emphasis on materials modeling.
Lecture notes	yes
151-0840-00L	Computational Methods in Stochastics and Optimization	W	5 credits	2V + 2U	P. Hora
Abstract	Fundamentals of stochastic simulation methods and non-linear optimization. Application of stochastical methods for the prediction of process stability and robsutness. Methods of non-linear optimizaion for complex manufacturing systems.
Objective	Real systems are submitted to process parameter variations. In spite of this most research is performed assuming deterministic boundary conditions, in which all parameters are constant. As a consequence, such research cannot draw conclusions on real system behavior, but only on behavior under singular conditions.
Content	Fundamentals of stochastic simulation methods and non-linear optimization are treated. After defining the fundamental parameters in process sensitivity and reliability (Cp-, Ck-value, n-Sigma process) the course focuses on the computational methods necessary to predict these parameters. In this context the most important methods of the statistic process-planing Monte Carlo, Latin Hypercube,...) will be treated.
Lecture notes	yes
151-0206-00L	Energy Systems and Power Engineering	W	4 credits	2V + 2U	R. S. Abhari, A. Steinfeld
Abstract	Introductory first course for the specialization in ENERGY. The course provides an overall view of the energy field and pertinent global problems, reviews some of the thermodynamic basics in energy conversion, and presents the state-of-the-art technology for power generation and fuel processing.
Objective	Introductory first course for the specialization in ENERGY. The course provides an overall view of the energy field and pertinent global problems, reviews some of the thermodynamic basics in energy conversion, and presents the state-of-the-art technology for power generation and fuel processing.
Content	World primary energy resources and use: fossil fuels, renewable energies, nuclear energy; present situation, trends, and future developments. Sustainable energy system and environmental impact of energy conversion and use: energy, economy and society. Electric power and the electricity economy worldwide and in Switzerland; production, consumption, alternatives. The electric power distribution system. Renewable energy and power: available techniques and their potential. Cost of electricity. Conventional power plants and their cycles; state-of-the -art and advanced cycles. Combined cycles and cogeneration; environmental benefits. Solar thermal power generation and solar photovoltaics. Hydrogen as energy carrier. Fuel cells: characteristics, fuel reforming and combined cycles. Nuclear power plant technology.
Lecture notes	Vorlesungsunterlagen werden verteilt
151-0306-00L	Visualization, Simulation and Interaction - Virtual Reality I	W	4 credits	4G	A. Kunz
Abstract	Technology of Virtual Reality. Human factors, Creation of virtual worlds, Lighting models, Display- and acoustic- systems, Tracking, Haptic/tactile interaction, Motion platforms, Virtual prototypes, Data exchange, VR Complete systems, Augmented reality, Collaboration systems; VR and Design; Implementation of the VR in the industry; Human Computer Interfaces (HCI).
Objective	The product development process in the future will be characterized by the Digital Product which is the center point for concurrent engineering with teams spreas worldwide. Visualization and simulation of complex products including their physical behaviour at an early stage of development will be relevant in future. The lecture will give an overview to techniques for virtual reality, to their ability to visualize and to simulate objects. It will be shown how virtual reality is already used in the product development process.
Content	Introduction to the world of virtual reality; development of new VR-techniques; introduction to 3D-computergraphics; modelling; physical based simulation; human factors; human interaction; equipment for virtual reality; display technologies; tracking systems; data gloves; interaction in virtual environment; navigation; collision detection; haptic and tactile interaction; rendering; VR-systems; VR-applications in industry, virtual mockup; data exchange, augmented reality.
Lecture notes	A complete version of the handout is also available in English.
Prerequisites / Notice	Voraussetzungen: keine Vorlesung geeignet für D-MAVT, D-ITET, D-MTEC und D-INF Testat/ Kredit-Bedingungen/ Prüfung: – Teilnahme an Vorlesung und Kolloquien – Erfolgreiche Durchführung von Übungen in Teams – Mündliche Einzelprüfung 30 Minuten
151-0314-00L	Information Technologies in the Digital Product	W	4 credits	3G	E. Zwicker, R. Montau
Abstract	Objective, Methods, Concepts of the Digital Product and Product-Life-Cycle-Management (PLM) Digital Product Fundamental: Productstructuring, Optimisation of Development- and Engineering Processes, Distribution and Use of Product Data in Sales, Production & Assembly, Service PLM Fundamentals: Objects, Structures, Processes, Integrations Application and Best Practices
Objective	Die Studierenden lernen vertieft die Grundlagen und Konzepte des Produkt-Lifecycle-Management (PLM), den Einsatz von Datenbanken, die Integration von CAx-Systemen, den Aufbau von Computer-Netzwerken und deren Protokolle, moderne computerunterstützte Kommunikation (CSCW) oder das Varianten- und Konfigurationsmanagement im Hinblick auf die Erstellung, Verwaltung und Nutzung des Digitalen Produktes.
Content	Möglichkeiten und Potentiale der Nutzung moderner IT-Tools, insbesondere moderner CAx- und PLM- Technologien. Der zielgerichtete Einsatz von CAx- und PLM-Technologien im Zusammenhang Produkt-Plattform - Unternehmensprozesse - IT-Tools. Einführung in die Konzepte des Produkt-Lifecycle-Managements (PLM): Informationsmodellierung, Verwaltung, Revisionierung, Kontrolle und Verteilung von Produktdaten bzw. Produkt-Plattformen. Detaillierter Aufbau und Funktionsweise von PLM-Systemen. Integration neuer IT-Technologien in bestehende und neu zu strukturierende Unternehmensprozesse. Möglichkeiten der Publikation und der automatischen Konfiguration von Produktvarianten auf dem Internet. Einsatz modernster Informations- und Kommunikationstechnologien (CSCW) beim Entwickeln von Produkten durch global verteilte Entwicklungszentren. Schnittstellen der rechnerintegrierten und unternehmensübergreifenden Produktentwicklung. Auswahl und Projektierung, Anpassung und Einführung von PLM-Systemen. Beispiele und Fallstudien für den industriellen Einsatz moderner Informationstechnologien. Lehrmodule - Einführung in die PLM-Technologie - Datenbanktechnologie im Digitalen Produkt - Objektmanagement - Objektklassifikation - Objektidentifikation mit Sachnummernsystem - Prozess- Kooperationsmanagement - Workflow Management - Schnittstellen im Digitalen Produkt - Enterprises Application Integration
Lecture notes	Didaktisches Konzept/ Unterlagen/ Kosten Die Durchführung der Lehrveranstaltung erfolgt gemischt mit Vorlesungs- und Übungsanteilen anhand von Praxisbeispielen. Handouts für Inhalt und Case; zT. E-learning; Kosten Fr.20.--
Prerequisites / Notice	Voraussetzungen Empfohlen: Informatik II; Fokus-Projekt; Freude an Informationstechnologien Testat/ Kredit-Bedingungen / Prüfung Erfolgreiche Durchführung von Übungen in Teams Mündliche Prüfung 30 Minuten, theoretisch und anhand konkreter Problemstellungen
151-0940-00L	Modelling and Mathematical Methods in Process and Chemical Engineering	W	4 credits	3G	M. Mazzotti, M. U. Bäbler
Abstract	Study of the non-numerical solution of systems of ordinary differential equations and first order partial differential equations, with application to chemical kinetics, simple batch distillation, and chromatography.
Objective	Study of the non-numerical solution of systems of ordinary differential equations and first order partial differential equations, with application to chemical kinetics, simple batch distillation, and chromatography.
Content	Development of mathematical models in process and chemical engineering, particularly for chemical kinetics, batch distillation, and chromatography. Study of systems of ordinary differential equations (ODEs), their stability, and their qualitative analysis. Study of single first order partial differential equation (PDE) in space and time, using the method of characteristics. Application of the theory of ODEs to population dynamics, chemical kinetics (Belousov-Zhabotinsky reaction), and simple batch distillation (residue curve maps). Application of the method of characteristic to chromatography.
Lecture notes	no skript
Literature	A. Varma, M. Morbidelli, "Mathematical methods in chemical engineering," Oxford University Press (1997) H.K. Rhee, R. Aris, N.R. Amundson, "First-order partial differential equations. Vol. 1," Dover Publications, New York (1986) R. Aris, "Mathematical modeling: A chemical engineer’s perspective," Academic Press, San Diego (1999)
151-0260-00L	Introduction to CFD for Reactive Flow and Physicochemical Hydrodynamics	W	4 credits	2V + 2U	I. Zinovik
Abstract	The course aims to give hands-on experience with CFD software, applying it to the problems with reactive flow. The goal of the course is to present guidelines about how to generate a grid, how to specify model parameters, and how to determine if the simulation result is meaningful. The course stresses the application of CFD tools to engineering problems rather than study about numerical methods.
Objective	-The basics of the numerical methods for fluid mechanics -How to assess the accuracy of a numerical solution -How to conduct grid generation for 2 and 3 dimensional problems -How to run commercial CFD packages for non-reactive and reactive flow -How to use the CFD results to estimate quantities of engineering interest -How to obtain visualization of the computational results in a useful fashion
Content	- Conservation equations of Fluid Dynamics - Classification of flows. Boundary conditions - Numerical solution: finite difference and finite element methods - Mesh generation - Turbulent models implemented in the CFD package - CFD with heat transfer - Simulation of multiphase flow with chemical reactions - CFD with porous media - Overview of the modeling capabilities of the CFD package
151-0980-00L	Biofluiddynamics	W	4 credits	2V + 1U	D. Obrist, P. Jenny, T. Rösgen
Abstract	Fluiddynamics as it relates to selected areas of human physiology (biomedical fluiddynamics).
Objective	A basic understanding of fluid dynamical processes of the human body. Knowledge of the basic concepts of fluid dynamics and the ability to apply these concepts appropriately.
Content	This lecture is an introduction to the fluid dynamics of the human body (biomedical fluiddynamics). Based on selected topics of human physiology we introduce basic concepts of fluid dynamics, e.g., creeping flow, incompressible flow, flow in porous media, flow with particles, fluid-vessel interaction, etc. . The list of studied topics includes subjects such as the cardiovascular system and related diseases, respiratory fluiddynamics, fluiddynamics of the inner ear, blood rheology, microcirculation, and blood flow regulation.
Lecture notes	A script is provided in pdf-form.
Literature	A list of books on selected topics of biofluiddynamics will be provided.
151-1988-00L	Applications of Finite Element Method in Biomechanics	W	3 credits	2V + 1U	M. Farshad
Abstract	Applications of analytical and numerical Finite Element simulations in biomechnics.
Objective	Applications of analytical and numerical Finite Element simulations in biomechnics.
Content	Modeling problems in biomechanics, an overview of the variational and Finite Element (FE) Method, general examples of Finite Element simulations, Validation of FE analyses, FE analysis of bones and bone prostheses, FE analysis of skall and spine, foundations of non linear material modeling and FE analysis, non linear material characterization of soft tissues, FE analyses of kidney, FE analysis of lung, FE analysis of heart and arteries, FE analysis of other organs, examples of applications of Finite Element method in biodynamical problems.
Lecture notes	Lectures and excercises on modeling and Finite Element simulations in biomechanics. Lecture notes will be continuously distributed.
Literature	Lecture notes + Lists of relevant literature
Prerequisites / Notice	Voraussetzungen: Ingenieurgrundlagen: Mathematik, Mechanik
227-0448-00L	Image Analysis and Computer Vision II 4 credit points under the programme regulations 2001	W	6 credits	4G	V. Ferrari, L. Van Gool
Abstract	Introduction into the basic procedures for the interpretation of image content and object recognition. Demonstrating the current capabilities of computer vision systems through selected applications. Gaining own experience through practical computer and programming exercises.
Objective	Overview of the basic concepts of image formation, perception and analysis, and Computer Vision. Gaining own experience through practical computer and programming exercises.
Content	Basics of visual perception. Usage of unitary transforms, Principal and Independent Component Analysis for representing image information. Colour perception and representation. Object description based on surface features. Texture characterization and analysis, including stochastic methods. Deformable contour models, snakes and thin plate splines. Tracking based on local features. Particle filters. Shape characterization using invariant descriptors, geometric invariants. Combination of shape and surface features using moment invariants. Object recognition for specific objects and object classes, image and model based schemes.
Lecture notes	Course material Script, computer demonstrations, exercises and problem solutions.
Prerequisites / Notice	Prerequisites: Bildatenanalyse und Computer Vision I. Basic concepts of mathematical analysis and linear algebra. The computer exercises are based on UNIX and C. The course will be held in English.
227-0116-00L	VLSI I: From Architectures to VLSI Circuits and FPGAs	W	7 credits	5G	W. Fichtner, N. Felber, H. Kaeslin
Abstract	Understand Very-Large-Scale Integrated Circuits, Application-Specific Integrated Circuits, and Field-Programmable Gate-Arrays. Become fluent in their front-end design from architectural conception down to gate-level netlists. How to model and simulate digital circuits with VHDL. How to take advantage of automatic synthesis tools to produce industrial-quality circuits.
Objective	Understand Very-Large-Scale Integrated Circuits (VLSI chips), Application-Specific Integrated Circuits (ASIC), and Field-Programmable Gate-Arrays (FPGA). Know their organization and be able to identify suitable application areas. Become fluent in front-end design from architectural conception to gate-level netlists. How to model digital circuits with VHDL. How to ensure they behave as expected with the aid of simulation, testbenches, and assertions. How to take advantage of automatic synthesis tools to produce industrial-quality VLSI and FPGA circuits. Gain practical experience with the hardware description language VHDL and with industrial Electronic Design Automation (EDA) tools.
Content	This course is concerned with system-level issues of VLSI design and FPGA implementations: terminology, overview on design methodologies and fabrication depths, levels of abstraction for circuit modeling, VLSI design flow, dedicated VLSI architectures, how to obtain an architecture for a given processing algorithm, architectural transformations for meeting throughput, area, and power requirements. Hardware Description Languages (HDL) and the underlying concepts, VHDL (IEEE standard 1076) for simulation and synthesis, a suitable nine-valued logic system (IEEE standard 1164), Register Transfer Level (RTL) synthesis. Timing models, evaluation of synchronous and asynchronous design techniques, Anceau diagrams. Functional verification of digital circuits, reusable testbenches, assertion-based checks, building blocks of digital VLSI circuits, case studies of actual circuits, comparison with microprocessors and DSPs. During the exercises, students learn how to model digital ICs with VHDL. They write testbenches for simulation purposes and synthesize gate-level netlists for VLSI chips and FPGAs. Only commercial EDA software by leading vendors is being used.
Literature	"Digital Integrated Circuit Design, from VLSI Architectures to CMOS Fabrication" Cambridge University Press, 2008, ISBN 9780521882675.
Prerequisites / Notice	Prerequisites: Basics of digital circuits. Examination: In written form following the course semester (spring term). Problems are given in English, answers will be accepted in either English oder German. General overview with follow-up courses VLSI II and III: Link
227-0148-00L	VLSI III: Test and Fabrication of VLSI Circuits	W	6 credits	4G	W. Fichtner, N. Felber, H. Kaeslin
Abstract	Know how to apply methods, software tools and equipment for designing testable VLSI circuits, for testing fabricated ICs, and for physical analysis in the occurrence of defective parts. A basic understanding of modern semiconductor technologies. Being familiar with decision criteria of economic nature and with models of industrial cooperation.
Objective	Know how to apply methods, software tools and equipment for designing testable VLSI circuits, for testing fabricated ICs, and for physical analysis in the occurrence of defective parts. A basic understanding of modern semiconductor technologies. Being familiar with decision criteria of economic nature and with models of industrial cooperation.
Content	This final course in a series of three focusses on manufacturing, testing, physical analysis, and packaging of VLSI circuits. Topics include: Effects of fabrication defects, abstraction from physical to transistor- and gate-level fault models, fault grading of large ASICs, generation of efficient test vector sets, enhancement of testability with built-in self test, organisation and application of automated test equipment, physical analysis of devices, packaging problems and solutions. The course further addresses: Models of industrial cooperation, the caveats of virtual components, the cost structures of ASIC development and manufacturing, market requirements, decision criteria, and case studies. Today's deep-submicron CMOS fabrication processes, outlook on the future evolution of semiconductor technology. Exercises teach students how to use CAE/CAD software and automated equipment for testing ASICs after fabrication. Students that have submitted a design for manufacturing at the end of the 7th term do so on their own circuits. Physical analysis methods with professional equipment (AFM, DLTS) complement this training.
Lecture notes	English lecture notes (Dr. N. Felber).
Literature	"Digital Integrated Circuit Design, from VLSI Architectures to CMOS Fabrication" Cambridge University Press, 2008, ISBN 9780521882675 (Dr. H. Kaeslin).
Prerequisites / Notice	Prerequisites: Basic knowledge of digital design.
227-0418-00L	Algebra and Error Correcting Codes	W	6 credits	4G	H.‑A. Loeliger
Abstract	The course is an introduction to error correcting codes covering both classical algebraic codes and modern iterative decoding. The course is also an introduction to "abstract" algebra and some of its applications in coding and signal processing.
Objective	The course is an introduction to error correcting codes covering both classical algebraic codes and modern iterative decoding. The course is also an introduction to "abstract" algebra and some of its applications in coding and signal processing.
Content	Coding: coding and modulation, linear codes, Hamming space codes, Euclidean space codes, trellises and Viterbi decoding, convolutional codes, factor graphs and message passing algorithms, low-density parity check codes, turbo codes, Reed-Solomon codes. Algebra: groups, rings, homomorphisms, ideals, fields, finite fields, vector spaces, polynomials, Chinese Remainder Theorem.
Lecture notes	Lecture Notes (english)
227-0434-00L	Harmonic Analysis: Theory and Applications in Advanced Signal Processing	W	6 credits	2V + 2U	H. Bölcskei
Abstract	Introduction to basic concepts in harmonic analysis with applications in signal processing and information theory.
Objective	Introduction to basic concepts in harmonic analysis with applications in signal processing and information theory.
Content	Elements of linear algebra, Fourier theory and sampling, Hilbert spaces, linear operator theory, frame theory, approximation theory, wavelets, short-time Fourier transform, Gabor expansion, filter banks, transform coding, sparse signals, uncertainty principles, compressed sensing.
Lecture notes	Lecture notes, problem sets with documented solutions.
Literature	S. Mallat, "A wavelet tour of signal processing", 2n ed., Academic Press, 1999 M. Vetterli and J. Kovacevic, "Wavelets and subband coding", Prentice Hall, 1995 I. Daubechies, "Ten lectures on wavelets", SIAM, 1992 O. Christensen, "An introduction to frames and Riesz bases", Birkhäuser, 2003 M. A. Pinksy, "Introduction to Fourier analysis and wavelets", Brooks/ Cole Series in Advanced Mathematics, 2002.
227-0104-00L	Information Transfer	W	6 credits	4G	A. Lapidoth
Abstract	An introductory course to digital communications in the presence of noise. Topics include Pulse Amplitude Modulation, Power Spectral Density, Spectral Efficiency, Quadrature Amplitude Modulation, Signal Space, the Gram-Schmidt procedure, Complete Orthonormal Systems, Hypothesis Testing, Sufficient Statistics, Gaussian Stochastic Processes, White Noise, and the Matched Filter.
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	- Analog Modulation (AM, FM, DSB). - A block diagram of a digital cellular mobile phone system. - The Nyquist Criterion for no ISI and the Matched Filter. - Counting bits/dimension, bits/sec, bits/sec/Hz in base-band. - Power Spectral Density, and the "energy- per-bit" parameter. - Passband communication (QAM). - Detection in white Gaussian noise. - Sufficient statistics. - The Chernoff and Bhattacharyya bounds. - Signals as a vector space: continuous time Inner products and the Gram-Schmidt algorithm. - Block and Convolutional Codes for the Gaussian channel. - Multi-accessing schemes such as FDMA, TDMA, and CDMA
227-0120-00L	Communication Networks	W	6 credits	4G	B. Plattner
Abstract	The students will understand the fundamental concepts of communication networks, with a focus on computer networking. They will learn to identify relevant mechanisms that are used in networks, and will see a reasonable set of examples implementing such mechanisms, both as seen from an abstract perspective and with hands-on, practical experience.
Objective	The students will understand the fundamental concepts of communication networks, with a focus on computer networking. They will learn to identify relevant mechanisms that are used to networks work, and will see a reasonable set of examples implementing such mechanisms, both as seen from an abstract perspective and with hands-on, practical experience.
Prerequisites / Notice	Prerequisites: A layered model of communication systems (represented by the OSI Reference Model) has previously been introduced.

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