Search result: Catalogue data in Spring Semester 2012

Computational Science and Engineering Master Information
151-0110-00LCompressible FlowsW4 credits2V + 1UJ.‑P. Kunsch
AbstractTopics: unsteady one-dimensional subsonic and supersonic flows, acoustics, sound propagation, supersonic flows with shocks and Prandtl-Meyer expansions, flow around slender bodies, shock tubes, reaction fronts (deflagration and detonation).
Mathematical tools: method of characteristics and selected numerical methods.
ObjectiveIllustration of compressible flow phenomena and introduction to the corresponding mathematical description methods.
ContentThe interaction of compressibility and inertia is responsible for wave generation in a fluid. The compressibility plays an important role for example in unsteady phenomena, such as oscillations in gas pipelines or exhaust pipes. Compressibility effects are also important in steady subsonic flows with high Mach numbers (M>0.3) and in supersonic flows (e.g. aeronautics, turbomachinery).
The first part of the lecture deals with wave propagation phenomena in one-dimensional subsonic and supersonic flows. The discussion includes waves with small amplitudes in an acoustic approximation and waves with large amplitudes with possible shock formation.
The second part deals with plane, steady supersonic flows. Slender bodies in a parallel flow are considered as small perturbations of the flow and can be treated by means of acoustic methods. The description of the two-dimensional supersonic flow around bodies with arbitrary shapes includes oblique shocks and Prandtl-Meyer expansions etc.. Various boundary conditions, which are imposed for example by walls or free-jet boundaries, and interactions, reflections etc. are taken into account.
Lecture notesnot available
Literaturea list of recommended textbooks is handed out at the beginning of the lecture.
Prerequisites / Noticeprerequisites: Fluiddynamics I and II
151-0834-00LForming Technology II - Introduction Virtual Process Modelling Information W4 credits2V + 2UP. Hora
AbstractThe 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.
ObjectiveProzess optimization through numerical methods
ContentApplication 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 notesyes
151-0836-00LVirtual Process Control in Forming Manufacturing Systems Information
Does not take place this semester.
W5 credits2V + 2UP. Hora
AbstractIntroduction 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.
ObjectiveIntegral study of virtual planning technologies in forming manufacturing systems
ContentIntroduction 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 notesyes
151-0838-00LComputational Methods in Micro- and Nano-Structures Information
Does not take place this semester.
W5 credits2V + 2UP. Hora
AbstractFundamentals 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.
ObjectiveMicrostructures 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.
ContentFundamentals 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 notesyes
151-0840-00LPrinciples of FEM Based Optimization and Robustness Analysis Information W5 credits2V + 2UP. Hora, B. Berisha, N. Manopulo
AbstractThe course provides fundamentals of stochastic simulation and non-linear optimization methods. Methods of non-linear optimizaion for complex mechanical systems will be introduced und applied on real processes. Typical applications of stochastical methods for the prediction of process stability and robustness analysis will be discussed.
ObjectiveReal systems are, in general, of non-linear nature. Moreover, they 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. Hence, the objective of this course is to give an insight into stochastic simulations and non-linear optimization methods.

Students will learn mathematical methods e.g. gradient based and gradient free methods like genetic algorithm, and optimization tools (Matlab Optimization Toolbox) to solve basic optimization and stochastic problems.

Furthermore, special attention will be paid to the modeling of engineering problems using a commercial finite element program e.g. LS-Dyna to evaluate the mechanical response of a system, and an optimization tool e.g. LS-Opt for the mathematical optimization and robustness analysis.
ContentPrinciples of nonlinear optimization

- Introduction into nonlinear optimization and stochastic process simulation
- Principles of nonlinear optimization
- Introduction into the design optimization and probabilistic tool LS-Opt
- Design of Experiments DoE
- Introduction into nonlinear finite element methods

Optimization of nonlinear systems

- Application: Optimization of simple structures using LS-Opt and LS-Dyna
- Optimization based on meta modeling techniques
- Introduction into structure optimization
- Introduction into geometry parameterization for shape and topology optimization

Robustness and sensitivity of multiparameter systems

- Introduction into stochastics and robustness of processes
- Sensitivity analysis
- Application examples
Lecture notesyes
227-0224-00LStochastic SystemsW4 credits2V + 1UJ. Lygeros, F. Herzog
AbstractProbability. Stochastic processes. Stochastic differential equations. Ito. Kalman filters. St Stochastic optimal control. Applications in financial engineering.
ObjectiveStochastic dynamic systems. Optimal control and filtering of stochastic systems. Examples in technology and finance.
Content- Stochastic processes
- Stochastic calculus (Ito)
- Stochastic differential equations
- Discrete time stochastic difference equations
- Stochastic processes AR, MA, ARMA, ARMAX, GARCH
- Kalman filter
- Stochastic optimal control
- Applications in finance and engineering
Lecture notesH. P. Geering et al., Stochastic Systems, Measurement and Control Laboratory, 2007 and handouts
151-0206-00LEnergy Systems and Power EngineeringW4 credits2V + 2UR. S. Abhari, A. Steinfeld
AbstractIntroductory 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.
ObjectiveIntroductory 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.
ContentWorld 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 notesVorlesungsunterlagen werden verteilt
151-0306-00LVisualization, Simulation and Interaction - Virtual Reality I Information W4 credits4GA. Kunz
AbstractTechnology 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).
ObjectiveThe 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.
ContentIntroduction 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 notesA complete version of the handout is also available in English.
Prerequisites / NoticeVoraussetzungen:
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
151-0314-00LInformation Technologies in the Digital Product Information W4 credits3GE. Zwicker, R. Montau
AbstractObjective, 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
ObjectiveThe students learn the basics and concepts of the product life cycle management (PLM), the usage of databanks, the integration of CAx-Systems, the configuration of computer networks and their protocols, moderne computer based communication (CSCW) or the variants and configuration management in regard to the creation, administration and usage of digital products.
ContentMöglichkeiten 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.

- 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 notesDidaktisches 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 / NoticeVoraussetzungen
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
151-0361-00LStructural Analysis with FEM Information W4 credits3GG. Kress
AbstractThe class material includes mathematical ancillary concepts, derivation of element equations, boundary conditions, numerical integration, compilation of the system’s equations, solution methods, static and eigenvalue problems, sub-structuring techniques, degree-of-freedom coupling and non-linear simulation of progressing damage. ANSYS and also a MATLAB coded learning program are utilized.
ObjectiveWith regard to structural analysis and simulation of Production processes, the theoretical background as well as practical abilities of an engineering analyst shall be transferred. The emphasis on optimization methods reflects the trend that computational methods are not only used to confirm the behaviour of exissting designs anymore but take an increasingliy active and creative role in the product development.
Content1. Direct Method for Derivation of Finite Elements
2. Variational Method for Derivation of Finite-Elements
3. Isoparametric Coordinate Transformation
4. Numerical Integration and Integration Errors
5. System equations Assembly
6. Boundary Conditions and Degree-of-Freedom Constraints
7. System equations Solution and Substructuring
8. Eigenvalue Problem Solution with Vector Iteration
9. Beam Elements and Locking Effect
10. Introduction to Application Software
Lecture notesScript and handouts are provided in class and can also be down-loaded from:
LiteratureNo textbooks required.
Prerequisites / NoticeAttestation requires doing and handing in of the homework assignments. Teaching language: English on request.
151-0940-00LModelling and Mathematical Methods in Process and Chemical Engineering Information W4 credits3GM. Mazzotti
AbstractStudy 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.
ObjectiveStudy 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.
ContentDevelopment 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 notesno skript
LiteratureA. 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)
151-0119-00LMolecular Fluid MechanicsW1 credit1GS. Schlamp, T. Rösgen
AbstractTheory, applications, and simulation methods of fluids away from the continuum limit. The focus is on rarefied gases, but applications to micro-fluid mechanics will also be addressed.
ObjectiveFluids are usually treated in the continuum limit. For example, this assumption underlies the Navier-Stokes equations. For certain applications, this is not appropriate; when either the gas becomes so dilute that the molecules' mean-free path is comparable to external length scales (such as for hypersonic flight in the upper atmosphere), or when the external length scales become so small as to approach the molecular length scales (microfluid mechanics).

Students will learn:
- Relationship between the molecular nature of fluids and macroscopic quantities
- Underlying assumptions and approximations of continuum fluid mechanics in general and the Navier-Stokes equation in particular
- Theoretical and numerical approaches to treat non-continuum flows
ContentMolecular description of matter: distribution functions, discrete-velocity gases, relation to macroscopic quantities

Kinetic theory: free-path theory, internal degrees of freedom.

Boltzmann equation: BBGKY hierarchy and closure, H theorem, Euler equations, Chapman-Enskog procedure, free-molecule flows.

Collisionless and transitional flows

Direct simulation Monte Carlo methods


Lecture notesPrinted lecture notes will be distributed in class.
LiteratureText book:
T. I. Gombosi , Gaskinetic Theory, Cambridge University Press, 2008.

Suggested literature:
Ching Shen, Rarefied Gas Dynamics: Fundamentals, Simulations and Micro Flows (Heat and Mass Transfer), Springer, Berlin, 2005.
Prerequisites / NoticeAt the class majority's request the lecture can be held in German; lecture notes, hoewever, will be in English in any case.
151-0182-00LTheoretical and Applied Computational Fluid DynamicsW4 credits3GA. Haselbacher
AbstractThis course is focused on providing students with the knowledge and understanding required to develop simple computational fluid dynamics (CFD) codes and critically assess the results produced by CFD codes. As part of the course, students will develop their own code to solve the Euler and Navier-Stokes equations on unstructured grids and verify and validate them systematically.
ObjectiveSystematic introduction to development, analysis, and application of numerical methods for fluid-dynamics problems and interpretation of results.
1. Governing and model equations. Brief review of equations and properties
2. Overview of basic concepts: Overview of discretization process and its consequences
3. Overview of numerical methods: Finite-difference, finite-volume, finite-element methods, spectral methods
4. Analysis of spatially discrete equations: Consistency, accuracy, stability, convergence of semi-discrete methods
5. Time-integration methods: LMS and RK methods, consistency, accuracy, stability, convergence
6. Analysis of fully discrete equations: Consistency, accuracy, stability, convergence of fully discrete methods
7. Solution of advection equation: One-dimensional advection equation, motivation for and consequences of upwinding, TVD and WENO methods, two-dimensional advection equation, multidimensional methods
8. Solution of Burgers equation: Non-linear stability, conservation, shock capturing, TVD and WENO methods
9. Solution of diffusion equation: Splitting and fractional step methods.
10. Numerical methods for compressible Euler equations: Riemann problem, Godunov's method, approximate Riemann solvers, non-reflecting boundary conditions
11. Numerical methods for incompressible Navier-Stokes equations: Incompressibility constraint and consequences, fractional-step and pressure-correction methods, artificial-compressibility method
Lecture notesThe course is based mostly on notes developed by the instructor.
LiteratureLiterature: There is no required textbook. Suggested references are:
1. R.J. Leveque, Finite Volume Methods for Hyperbolic Equations, Cambridge, 2002
2. E. F. Toro, Riemann Solvers and Numerical Methods for Fluid Dynamics, 3rd ed., Springer, 2009
3. H.K. Versteeg and W. Malalasekera, An Introduction to Computational Fluid Dynamics, 2nd ed., Pearson Prentice Hall, 2007
Prerequisites / NoticePrior knowledge of fluid dynamics, applied mathematics, basic numerical methods, and programming in Fortran and/or C++ (knowledge of MATLAB is *not* sufficient).
151-0980-00LBiofluiddynamics Information W4 credits2V + 1UD. Obrist, P. Jenny
AbstractIntroduction to the fluid dynamics of the human body and the modeling of physiological flow processes (biomedical fluid dynamics).
ObjectiveA 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.
ContentThis lecture is an introduction to the fluid dynamics of the human body (biomedical fluid dynamics). For selected topics of human physiology, we introduce fundamental concepts of fluid dynamics (e.g., creeping flow, incompressible flow, flow in porous media, flow with particles, fluid-vessel interaction) and use them to model physiological flow processes. The list of studied topics includes the cardiovascular system and related diseases, respiratory fluiddynamics, fluiddynamics of the inner ear, blood rheology, microcirculation, and blood flow regulation.
Lecture notesA script is provided in pdf-form.
LiteratureA list of books on selected topics of biofluiddynamics will be provided.
227-0116-00LVLSI I: From Architectures to VLSI Circuits and FPGAsW7 credits5GH. Kaeslin, N. Felber
AbstractUnderstand 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.
ObjectiveUnderstand 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.
ContentThis course is concerned with system-level issues of VLSI design and FPGA implementations. Topics include:
- Overview on design methodologies and fabrication depths.
- Levels of abstraction for circuit modeling.
- VLSI and FPGA design flows.
- Dedicated and general purpose architectures compared.
- How to obtain an architecture for a given processing algorithm.
- Meeting throughput, area, and power goals by way of architectural transformations.
- 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 and its limitations.
- Synchronous versus asynchronous circuits.
- The case for synchronous circuits.
- Periodic events and the Anceau diagram.
- Functional verification of digital integrated circuits.
- Modular and largely reusable testbenches.
- Assertion-based checks.
- Building blocks of digital VLSI circuits.
- Case studies, ASICs compared to microprocessors, DSPs, and FPGAs.

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 / NoticePrerequisites:
Basics of digital circuits.

In written form following the course semester (spring term). Problems are given in English, answers will be accepted in either English oder German.

Further details:
227-0148-00LVLSI III: Test and Fabrication of VLSI CircuitsW6 credits4GN. Felber, H. Kaeslin
AbstractKnow 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.
ObjectiveKnow 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.
ContentThis 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 in the occurrence 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.
- 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 notesEnglish 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 / NoticePrerequisites:
Basic knowledge of digital design.

Further details:
227-0418-00LAlgebra and Error Correcting CodesW6 credits4GH.‑A. Loeliger
AbstractThe 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.
ObjectiveThe 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.
ContentCoding: 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 notesLecture Notes (english)
227-0420-00LInformation Theory II Information
Does not take place this semester.
W6 credits2V + 2UA. Lapidoth
AbstractThis course builds on Information Theory I. It introduces additional topics in single-user communication, connections between Information Theory and Statistics, and Network Information Theory.
ObjectiveThe course has two objectives: to introduce the students to the key information theoretic results that underlay the design of communication systems and to equip the students with the tools that are needed to conduct research in Information Theory.
ContentDifferential entropy, maximum entropy, the Gaussian channel and water filling, the entropy-power inequality, Sanov's Theorem, Fisher information, the broadcast channel, the multiple-access channel, Slepian-Wolf coding, and the Gelfand-Pinsker problem.
Lecture notesn/a
LiteratureT.M. Cover and J.A. Thomas, Elements of Information Theory, second edition, Wiley 2006
227-0434-00LHarmonic Analysis: Theory and Applications in Advanced Signal Processing
Does not take place this semester.
W6 credits2V + 2UH. Bölcskei
AbstractIntroduction to basic concepts in harmonic analysis with applications in signal processing and information theory.
ObjectiveIntroduction to basic concepts in harmonic analysis with applications in signal processing and information theory.
ContentElements 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 notesLecture notes, problem sets with documented solutions.
LiteratureS. 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.
227-0104-00LCommunication and Detection TheoryW6 credits4GA. Lapidoth
AbstractThis introduction to Detection and Communication Theory offers a glimpse at analog communication, but mainly focuses on the foundations of modern digital communications. 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; hypothes
ObjectiveThis 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
Lecture notesn/a
LiteratureA. Lapidoth, A Foundation in Digital Communication, Cambridge University Press 2009
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