Suchergebnis: Katalogdaten im Frühjahrssemester 2019
Rechnergestützte Wissenschaften Bachelor | ||||||
Für alle Studienreglemente | ||||||
Wahlfächer Von den angebotenen Wahlfächern müssen mindestens zwei Lerneinheiten erfolgreich abgeschlossen werden. | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|---|
151-0834-00L | Umformtechnik II - Numerische Simulationsverfahren | W | 4 KP | 2V + 2U | P. Hora | |
Kurzbeschreibung | Vermitteln der Grundlagen der nichtlinearen Finite-Elemente-Methoden. Implizite und explizite FEM-Verfahren für quasistatische Anwendungen; Modellierung von thermo-mechanisch gekoppelten Problemen; Modellierung von zeitlich veränderlichen Kontaktbedingungen; Modellierung des nichtlinearen Werkstoffverhaltens; Modellierung der Reibung; FEM-basierte Voraussage von Versagen durch Risse und Falten. | |||||
Lernziel | Prozessoptimierung durch Einsatz numerischer Verfahren. | |||||
Inhalt | Einsatz virtueller Simulationsmethoden zur Planung und Optimierung von Umformprozessen. Grundlagen der virtuellen Simulationsverfahren, basierend auf der Methode der Finiten Elemente (FEM) und der Methode der Finiten Differenzen (FDM). Einführung in die Grundlagen der Kontinuums- und Plastomechanik zur mathematischen Beschreibung des plastischen Werkstoffflusses bei Metallen. Vorgehensweisen bei der Ermittlung prozessrelevanter Kenndaten. Uebnungen: Einsatz industrieller Simulationspakete für die Anwendungen Tiefziehen (Automotive), Innenhochdruckumformen (Space-Frame) und Strangpressen. | |||||
Skript | ja | |||||
151-0836-00L | Methoden der virtuellen Prozessauslegung umformtechnischer Systeme Findet dieses Semester nicht statt. | W | 5 KP | 2V + 2U | P. Hora | |
Kurzbeschreibung | Einführung in die heutigen Möglichkeiten der digitalen Fabrikmodellierung mit Beispielen aus den Bereichen digitale Automobilfabrik, digitale IHU-Fabrik, digitale Strangpressfabrik. Vermittelt werden Methoden der nicht-linearen FEM-Prozessanalyse, der nicht-linearen Optimierung und der stochastischen Prozesssimulation für umformtechnische Anwendungen. | |||||
Lernziel | Vertiefter Einsatz virtueller Planungstools zur Kontrolle und Auslegung von umformtechnischen Fertigungsverfahren. | |||||
Inhalt | Einführung in die heutigen Möglichkeiten der digitalen Fabrikmodellierungen. Fallstudien: digitale Automobilfabrik, digitalen IHU-Fabrik, digitale Strangpressfabrik. Prozessschritte: Virtuelle Auslegung der Prozesse, tryout der Werkzeuge, Untersuchung der Parametersensitivität. Mathematische Methoden: nicht-lineare FEM, Methoden der nicht-linearen Optimierung, stochastische Verfahren zur Robustheitsuntersuchung. | |||||
Skript | ja | |||||
151-3202-00L | Product Development and Engineering Design Number of participants limited to 60. | W | 4 KP | 2G | K. Shea, T. Stankovic | |
Kurzbeschreibung | The course introduces students to the product development process. In a team, you will explore the early phases of conceptual development and product design, from ideation and concept generation through to hands-on prototyping. This is an opportunity to gain product development experience and improve your skills in prototyping and presenting your product ideas. The project topic changes each year. | |||||
Lernziel | The course introduces you to the product development process and methods in engineering design for: product planning, user-centered design, creating product specifications, ideation including concept generation and selection methods, material selection methods and prototyping. Further topics include product lifecycle and sustainable design as well as design for manufacture, focusing on additive manufacture. You will actively apply the process and methods learned throughout the semester in a team on a product development project including hands-on prototyping. | |||||
Inhalt | Weekly topics accompanying the product development project include: 1 Introduction to Product Development and Engineering Design 2 Product Planning and Social-Economic-Technology (SET) Factors 3 User-Centered Design and Product Specification 4 Concept Generation and Selection Methods 5 System Design and Embodiment Design 6 Hands-On Prototyping and Prototype Planning 7 Material Selection in Engineering Design 8 Product Lifecycle and Sustainability 9 Design for Manufacture and Design for Additive Manufacture | |||||
Skript | available on Moodle | |||||
Literatur | Ulrich and Eppinger, Product Design and Development, 6th Edition, McGraw Hill Education, 2016. Cagan and Vogel, Creating Breakthrough Products: Revealing the Secrets that Drive Global Innovation, 2nd Edition, Pearson Education, 2013. | |||||
Voraussetzungen / Besonderes | Although the course is offered to ME (BSc and MSc) and CS (BSc and MSc) students, priority will be given to ME BSc students in the Focus Design, Mechanics, and Materials if the course is full. | |||||
151-0840-00L | Principles of FEM-Based Optimization and Robustness Analysis | W | 5 KP | 2V + 2U | B. Berisha, P. Hora, N. Manopulo | |
Kurzbeschreibung | Die Vorlesung vermittelt Grundlagen im Bereich stochastischer Simulationen und nichtlinearer Optimierungsmethoden. Zuerst werden die Methoden der nichtlinearen Optimierung für komplexe mechanische Systeme hergleitet und anschliessend auf reale Prozesse angewendet. Typische Anwendungen von stochastischen Methoden zur Vorhersage von Prozessstabilität und Robustheitsbewertungen werden behandelt. | |||||
Lernziel | Im Allgemeinen sind reale Systeme nichtlinear. Desweiteren unterliegen reale Prozesse Prozessschwankungen. Trotzdem werden gewöhnlich bei der Simulation zufallsunabhängige Randbedingungen mit konstanten Parametern angenommen. Demzufolge können mit diesen Ergebnissen keine Rückschlüsse auf das reale Systemverhalten gezogen werdnen. Das Ziel dieser Vorlesung ist es, einen Einblick in die Methoden der stochastischen Simulation und der nichtlinearen Optimierung zu geben. Der Student lernt mathematische Methoden wie bspw. gradientenbasierte und gradientenfreie Methoden (Genetische Algorithmen) kennen. Er lernt den Umgang mit Optimierungsprogrammen (Matlab Optimization Toolbox) und löst damit grundlegende Probleme im Bereich Optimierung und Stochastik. Desweiteren wird besonders auf die Optimierung und Robustheitsuntersuchungen von Ingenieursproblemen, unter Anwendung von kommerzieller Finite Elemente Software wie LS-Dyna und Optimierungssoftware wie LS-Opt, eingegangen. | |||||
Inhalt | Grundlagen der nichtlinearen Optimierung - Einführung in die Problematik der nichtlinearen Optimierung und der stochastischen Prozesssimulation - Grundlagen der nichtlinearen Optimierung - Einführung in LS-Opt - Design of Experiments DoE - Einführung in die nichtlineare FEM Optimierung nichtlinearer Systeme - Anwendungsfall: Optimierung einfacher Tragwerke (LS-Dyna, LS-Opt) - Optimierung mittels Metamodellen - Einführung in die Strukturoptimierung - Einführung in die Geometriparametrisierung zur Formoptimierung Robustheit und Sensitivität mehrparametriger Systeme - Einführung in die Stochastik und Robustheit von Prozessen - Sensitivitätsanalysen - Anwendungsbeispiele | |||||
Skript | ja | |||||
151-0206-00L | Energy Systems and Power Engineering | W | 4 KP | 2V + 2U | R. S. Abhari, A. Steinfeld | |
Kurzbeschreibung | 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. | |||||
Lernziel | 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. | |||||
Inhalt | 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. | |||||
Skript | Vorlesungsunterlagen werden verteilt | |||||
151-0306-00L | Visualization, Simulation and Interaction - Virtual Reality I | W | 4 KP | 4G | A. Kunz | |
Kurzbeschreibung | Technologie der virtuellen Realität. Menschliche Faktoren, Erzeugung virtueller Welten, Beleuchtungsmodelle, Display- und Beschallungssysteme, Tracking, haptische/taktile Interaktion, Motion Platforms, virtuelle Prototypen, Datenaustausch, VR-Komplettsysteme, Augmented Reality; Kollaborationssysteme; VR und Design; Umsetzung der VR in der Industrie; Human COmputer Interfaces (HCI). | |||||
Lernziel | Die Studierenden erhalten einen Überblick über die virtuelle Realität, sowohl aus technischer als auch aus informationstechnologischer Sicht. Sie lernen unterschiedliche Software- und Hardwareelemente kennen sowie deren Einsatzmöglichkeiten im Geschäftsprozess. Die Studierenden entwickeln eine Kenntnis darüber, wo sich heute die virtuelle Realität nutzbringend einsetzen lässt und wo noch weiterer Forschungsbedarf besteht. Anhand konkreter Programme und Systeme erfahren die Teilnehmer den Umgang mit den erlernten neuen Technologien. | |||||
Inhalt | Diese Vorlesung gibt eine Einführung in die Technologie der virtuellen Realität als neues Tool zur Bewältigung komplexer Geschäftsprozesse. Es sind die folgenden Themen vorgesehen: Einführung und Geschichte der VR; Eingliederung der VR in die Produktentwicklung; Nutzen von VR für die Industrie; menschliche Faktoren als Grundlage der virtuellen Realität; Einführung in die Erzeugung (Modellierung) virtueller Welten; Beleuchtungsmodelle; Kollisionserkennung; Displaysysteme; Projektionssysteme; Beschallungssysteme; Trackingssysteme; Interaktionsgeräte für die virtuelle Umgebung; haptische und taktile Interaktion; Motion Platforms; Datenhandschuh; physikalisch basierte Simulation; virtuelle Prototypen; Datenaustausch und Datenkommunikation; VR-Komplettsysteme; Augmented Reality; Kollaborationssysteme; VR zur Unterstützung von Designaufgaben; Umsetzung der VR in der Industrie; Ausblick in die laufende Forschung im Bereich VR. Lehrmodule: - Geschichte der VR und Definition der wichtigsten Begriffe - Einordnung der VR in Geschäftsprozesse - Die Erzeugung virtueller Welten - Geräte und Technologien für die immersive virtuelle Realität - Anwendungen der VR in unterschiedlichsten Gebieten | |||||
Skript | Die Durchführung der Lehrveranstaltung erfolgt gemischt mit Vorlesungs- und Übungsanteilen. Die Vorlesung kann auf Wunsch in Englisch erfolgen. Das Skript ist ebenfalls in Englisch verfügbar. Skript, Handout; Kosten SFr.50.- | |||||
Voraussetzungen / Besonderes | 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 | Informationstechnologien im digitalen Produkt | W | 4 KP | 3G | E. Zwicker, R. Montau | |
Kurzbeschreibung | Zielsetzung, Konzepte und Methoden von Digitalisierung, Digitales Produkt und Product Lifecycle Management (PLM) Grundlagen Digitales Produkt: Produktstrukturen, Optimierung Entwicklungs- und Engineeringprozess, Nutzung digitaler Modelle in Verkauf, Produktion, Service für Industry 4.0 Strategien PLM-Grundlagen: Objekte, Strukturen, Prozesse, Integrationen, Visualisierung Praktische Anwendung | |||||
Lernziel | Die Studierenden lernen die Grundlagen und Konzepte der Digitalisierung in der Produktentstehung auf Basis von Produkt Lifecycle Management-Technologien (PLM), den Einsatz von Datenbanken, die Integration von CAx-Systemen und Visualisierung, den Aufbau computergestützter Kommunikation auf Basis von Standards und Protokollen sowie das Varianten- und Konfigurationsmanagement zur effizienten Nutzung des Digitalen Produkt-Ansatzes für Industrie 4.0. | |||||
Inhalt | Möglichkeiten und Potentiale moderner IT-Applikationen mit Fokus auf CAx- und PLM-Technologien für den zielgerichteten Einsatz im Zusammenhang Produktplattform - Unternehmensprozesse - IT-Tools. Einführung in die Konzepte des Product Lifecycle Managements (PLM): Informationsmodellierung, Datenmanagement, Revisionierung, Nutzung und Verteilung von Produktdaten. Aufbau und Funktionsweise von PLM-Systemen. Integration neuer IT-Technologien in Unternehmensprozesse. Möglichkeiten der Publikation und automatischen Konfiguration von Produktvarianten im Internet. Einsatz modernster Informations- und Kommunikationstechnologien beim Entwickeln von Produkten an global verteilten Standorten. Schnittstellen der rechnerintegrierten Produktentwicklung. Auswahl, Projektierung, Anpassung und Einführung von PLM-Systemen. Beispiele und Fallstudien für den industriellen Einsatz moderner Informationstechnologien. Lehrmodule: - Einführung in die Digitalisierung (Digitales Produkt, PLM-Technologie) - Datenbanktechnologie (Basis der Digitalisierung) - Objektmanagement - Objektklassifikation - Objektidentifikation mit Sachnummernsystem - CAx/PLM-Integration mit Visualisierung/AR - Workflow & Change Management - Schnittstellen im Digitalen Produkt - Enterprise Application Integration (EAI) | |||||
Skript | Didaktisches Konzept/Lehrmaterialien: Die Durchführung der Lehrveranstaltung erfolgt gemischt mit Vorlesungs- und Übungsanteilen anhand von Praxisbeispielen. Bereitstellung von Vorlesungs-Handouts und Skriptum in Moodle. | |||||
Voraussetzungen / Besonderes | Voraussetzungen: Keine Empfohlen: Fokus-Projekt, Interesse an Digitalisierung Vorlesung geeignet für D-MAVT, D-MTEC und D-INF Testat/ Kredit-Bedingungen / Prüfung: - Erfolgreiche Durchführung von Übungen in Teams - Mündliche Einzelprüfung 30 Minuten, anhand konkreter Problemstellungen | |||||
151-0660-00L | Model Predictive Control | W | 4 KP | 2V + 1U | M. Zeilinger | |
Kurzbeschreibung | Model predictive control is a flexible paradigm that defines the control law as an optimization problem, enabling the specification of time-domain objectives, high performance control of complex multivariable systems and the ability to explicitly enforce constraints on system behavior. This course provides an introduction to the theory and practice of MPC and covers advanced topics. | |||||
Lernziel | Design and implement Model Predictive Controllers (MPC) for various system classes to provide high performance controllers with desired properties (stability, tracking, robustness,..) for constrained systems. | |||||
Inhalt | - Review of required optimal control theory - Basics on optimization - Receding-horizon control (MPC) for constrained linear systems - Theoretical properties of MPC: Constraint satisfaction and stability - Computation: Explicit and online MPC - Practical issues: Tracking and offset-free control of constrained systems, soft constraints - Robust MPC: Robust constraint satisfaction - Nonlinear MPC: Theory and computation - Hybrid MPC: Modeling hybrid systems and logic, mixed-integer optimization - Simulation-based project providing practical experience with MPC | |||||
Skript | Script / lecture notes will be provided. | |||||
Voraussetzungen / Besonderes | One semester course on automatic control, Matlab, linear algebra. Courses on signals and systems and system modeling are recommended. Important concepts to start the course: State-space modeling, basic concepts of stability, linear quadratic regulation / unconstrained optimal control. Expected student activities: Participation in lectures, exercises and course project; homework (~2hrs/week). | |||||
151-0940-00L | Modelling and Mathematical Methods in Process and Chemical Engineering | W | 4 KP | 3G | M. Mazzotti | |
Kurzbeschreibung | Einführung in die Modellierungstechniken und mathematischen Methoden für nichtnumerische Lösungen von Gleichungen in der chemischen Verfahrenstechnik. | |||||
Lernziel | Einführung in die Modellierungstechniken und mathematischen Methoden für nichtnumerische Lösungen von Gleichungen in der chemischen Verfahrenstechnik. | |||||
Inhalt | Formulierung und Bearbeitung von mathematischen Modellen, Auswertung und Präsentation von Resultaten, Matrizen und deren Anwendung, Nichtlineare, gewöhnliche Differentialgl. erster Ordnung u. Stabilitätstheorem, Partielle Differenzialgleichungen erster Ordnung, Einführung in die Störungstheorie, Fallstudien: Mehrdeutigkeiten und Stabilität eines kontinuierlichen Rührkessels; Rückstandskurvendiagramme für einfache Destillation; Dynamik von Chromatographiekolonnen; Kinetik und Dynamik von oszillierenden Reaktionen. | |||||
Skript | kein Skript | |||||
Literatur | 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) | |||||
151-0980-00L | Biofluiddynamics | W | 4 KP | 2V + 1U | D. Obrist, P. Jenny | |
Kurzbeschreibung | Introduction to the fluid dynamics of the human body and the modeling of physiological flow processes (biomedical fluid dynamics). | |||||
Lernziel | A basic understanding of fluid dynamical processes in the human body. Knowledge of the basic concepts of fluid dynamics and the ability to apply these concepts appropriately. | |||||
Inhalt | This 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-structure interaction) and use them to model physiological flow processes. The list of studied topics includes the cardiovascular system and related diseases, blood rheology, microcirculation, respiratory fluid dynamics and fluid dynamics of the inner ear. | |||||
Skript | Lecture notes are provided electronically. | |||||
Literatur | A list of books on selected topics of biofluiddynamics can be found on the course web page. | |||||
227-0052-10L | Elektromagnetische Felder und Wellen | W | 6 KP | 3V + 2U | L. Novotny | |
Kurzbeschreibung | Gegenstand dieser Vorlesung ist die Erzeugung und Ausbreitung elektromagnetischer Felder. Ausgehend von den Maxwell'schen Gleichungen werden die Wellengleichung und ihre Loesungen hergeleitet. Spezifische Themen sind: Felder im freien Raum, Brechung und Reflexion an Grenzflaechen, Dipolstrahlung und Green'sche Funktionen, Vektor- und Skalarpotentiale, sowie Eichtransformationen. | |||||
Lernziel | Verständnis von elektromagnetischen Feldern und Anwendungsgebiete | |||||
227-0418-00L | Algebra and Error Correcting Codes | W | 6 KP | 4G | H.‑A. Loeliger | |
Kurzbeschreibung | The course is an introduction to error correcting codes covering both classical algebraic codes and modern iterative decoding. The course includes a self-contained introduction of the pertinent basics of "abstract" algebra. | |||||
Lernziel | The course is an introduction to error correcting codes covering both classical algebraic codes and modern iterative decoding. The course includes a self-contained introduction of the pertinent basics of "abstract" algebra. | |||||
Inhalt | Error correcting codes: 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, polar codes, Reed-Solomon codes. Algebra: groups, rings, homomorphisms, quotient groups, ideals, finite fields, vector spaces, polynomials. | |||||
Skript | Lecture Notes (english) | |||||
227-0420-00L | Information Theory II | W | 6 KP | 2V + 2U | A. Lapidoth, S. M. Moser | |
Kurzbeschreibung | This course builds on Information Theory I. It introduces additional topics in single-user communication, connections between Information Theory and Statistics, and Network Information Theory. | |||||
Lernziel | The 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. | |||||
Inhalt | Differential 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. | |||||
Skript | n/a | |||||
Literatur | T.M. Cover and J.A. Thomas, Elements of Information Theory, second edition, Wiley 2006 | |||||
227-0104-00L | Communication and Detection Theory | W | 6 KP | 4G | A. Lapidoth | |
Kurzbeschreibung | This course teaches the foundations of modern digital communications and detection theory. Topics include the geometry of the space of energy-limited signals; the baseband representation of passband signals, spectral efficiency and the Nyquist Criterion; the power and power spectral density of PAM and QAM; hypothesis testing; Gaussian stochastic processes; and detection in white Gaussian noise. | |||||
Lernziel | 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. | |||||
Inhalt | - Baseband representation of passband signals. - Bandwidth and inner products in baseband and passband. - The geometry of the space of energy-limited signals. - The Sampling Theorem as an orthonormal expansion. - Sampling passband signals. - Pulse Amplitude Modulation (PAM): energy, power, and power spectral density. - Nyquist Pulses. - Quadrature Amplitude Modulation (QAM). - Hypothesis testing. - The Bhattacharyya Bound. - The multivariate Gaussian distribution - Gaussian stochastic processes. - Detection in white Gaussian noise. | |||||
Skript | n/a | |||||
Literatur | A. Lapidoth, A Foundation in Digital Communication, Cambridge University Press, 2nd edition (2017) | |||||
227-0120-00L | Communication Networks | W | 6 KP | 4G | L. Vanbever | |
Kurzbeschreibung | At the end of this course, you will understand the fundamental concepts behind communication networks and the Internet. Specifically, you will be able to: - understand how the Internet works; - build and operate Internet-like infrastructures; - identify the right set of metrics to evaluate the performance of a network and propose ways to improve it. | |||||
Lernziel | At the end of the course, the students will understand the fundamental concepts of communication networks and Internet-based communications. Specifically, students will be able to: - understand how the Internet works; - build and operate Internet-like network infrastructures; - identify the right set of metrics to evaluate the performance or the adequacy of a network and propose ways to improve it (if any). The course will introduce the relevant mechanisms used in today's networks both from an abstract perspective but also from a practical one by presenting many real-world examples and through multiple hands-on projects. For more information about the lecture, please visit: Link | |||||
Skript | Lecture notes and material for the course will be available before each course on: Link | |||||
Literatur | Most of course follows the textbook "Computer Networking: A Top-Down Approach (6th Edition)" by Kurose and Ross. | |||||
Voraussetzungen / Besonderes | No prior networking background is needed. The course will include some programming assignments (in Python) for which the material covered in Technische Informatik 1 (227-0013-00L) and Technische Informatik 2 (227-0014-00L) will be useful. | |||||
227-0158-00L | Semiconductor Devices: Transport Theory and Monte Carlo Simulation Findet dieses Semester nicht statt. | W | 4 KP | 2V + 1U | ||
Kurzbeschreibung | The first part deals with semiconductor transport theory including the necessary quantum mechanics. In the second part, the Boltzmann equation is solved with the stochastic methods of Monte Carlo simulation. The exercises address also TCAD simulations of MOSFETs. Thus the topics include theoretical physics, numerics and practical applications. | |||||
Lernziel | On the one hand, the link between microscopic physics and its concrete application in device simulation is established; on the other hand, emphasis is also laid on the presentation of the numerical techniques involved. | |||||
Inhalt | Quantum theoretical foundations I (state vectors, Schroedinger and Heisenberg picture). Band structure (Bloch theorem, one dimensional periodic potential, density of states). Pseudopotential theory (crystal symmetries, reciprocal lattice, Brillouin zone). Semiclassical transport theory (Boltzmann transport equation (BTE), scattering processes, linear transport).<br> Monte Carlo method (Monte Carlo simulation as solution method of the BTE, algorithm, expectation values).<br> Implementational aspects of the Monte Carlo algorithm (discretization of the Brillouin zone, self-scattering according to Rees, acceptance- rejection method etc.). Bulk Monte Carlo simulation (velocity-field characteristics, particle generation, energy distributions, transport parameters). Monte Carlo device simulation (ohmic boundary conditions, MOSFET simulation). Quantum theoretical foundations II (limits of semiclassical transport theory, quantum mechanical derivation of the BTE, Markov-Limes). | |||||
Skript | Lecture notes (in German) | |||||
227-0159-00L | Semiconductor Devices: Quantum Transport at the Nanoscale | W | 6 KP | 2V + 2U | M. Luisier, A. Emboras, J. Godet | |
Kurzbeschreibung | This class offers an introduction into quantum transport theory, a rigorous approach to electron transport at the nanoscale. It covers different topics such as bandstructure, Wave Function and Non-equilibrium Green's Function formalisms, and electron interactions with their environment. Matlab exercises accompany the lectures where students learn how to develop their own transport simulator. | |||||
Lernziel | The continuous scaling of electronic devices has given rise to structures whose dimensions do not exceed a few atomic layers. At this size, electrons do not behave as particle any more, but as propagating waves and the classical representation of electron transport as the sum of drift-diffusion processes fails. The purpose of this class is to explore and understand the displacement of electrons through nanoscale device structures based on state-of-the-art quantum transport methods and to get familiar with the underlying equations by developing his own nanoelectronic device simulator. | |||||
Inhalt | The following topics will be addressed: - Introduction to quantum transport modeling - Bandstructure representation and effective mass approximation - Open vs closed boundary conditions to the Schrödinger equation - Comparison of the Wave Function and Non-equilibrium Green's Function formalisms as solution to the Schrödinger equation - Self-consistent Schödinger-Poisson simulations - Quantum transport simulations of resonant tunneling diodes and quantum well nano-transistors - Top-of-the-barrier simulation approach to nano-transistor - Electron interactions with their environment (phonon, roughness, impurity,...) - Multi-band transport models | |||||
Skript | Lecture slides are distributed every week and can be found at Link | |||||
Literatur | Recommended textbook: "Electronic Transport in Mesoscopic Systems", Supriyo Datta, Cambridge Studies in Semiconductor Physics and Microelectronic Engineering, 1997 | |||||
Voraussetzungen / Besonderes | Basic knowledge of semiconductor device physics and quantum mechanics | |||||
227-0558-00L | Principles of Distributed Computing | W | 6 KP | 2V + 2U + 1A | R. Wattenhofer, M. Ghaffari | |
Kurzbeschreibung | We study the fundamental issues underlying the design of distributed systems: communication, coordination, fault-tolerance, locality, parallelism, self-organization, symmetry breaking, synchronization, uncertainty. We explore essential algorithmic ideas and lower bound techniques. | |||||
Lernziel | Distributed computing is essential in modern computing and communications systems. Examples are on the one hand large-scale networks such as the Internet, and on the other hand multiprocessors such as your new multi-core laptop. This course introduces the principles of distributed computing, emphasizing the fundamental issues underlying the design of distributed systems and networks: communication, coordination, fault-tolerance, locality, parallelism, self-organization, symmetry breaking, synchronization, uncertainty. We explore essential algorithmic ideas and lower bound techniques, basically the "pearls" of distributed computing. We will cover a fresh topic every week. | |||||
Inhalt | Distributed computing models and paradigms, e.g. message passing, shared memory, synchronous vs. asynchronous systems, time and message complexity, peer-to-peer systems, small-world networks, social networks, sorting networks, wireless communication, and self-organizing systems. Distributed algorithms, e.g. leader election, coloring, covering, packing, decomposition, spanning trees, mutual exclusion, store and collect, arrow, ivy, synchronizers, diameter, all-pairs-shortest-path, wake-up, and lower bounds | |||||
Skript | Available. Our course script is used at dozens of other universities around the world. | |||||
Literatur | Lecture Notes By Roger Wattenhofer. These lecture notes are taught at about a dozen different universities through the world. Distributed Computing: Fundamentals, Simulations and Advanced Topics Hagit Attiya, Jennifer Welch. McGraw-Hill Publishing, 1998, ISBN 0-07-709352 6 Introduction to Algorithms Thomas Cormen, Charles Leiserson, Ronald Rivest. The MIT Press, 1998, ISBN 0-262-53091-0 oder 0-262-03141-8 Disseminatin of Information in Communication Networks Juraj Hromkovic, Ralf Klasing, Andrzej Pelc, Peter Ruzicka, Walter Unger. Springer-Verlag, Berlin Heidelberg, 2005, ISBN 3-540-00846-2 Introduction to Parallel Algorithms and Architectures: Arrays, Trees, Hypercubes Frank Thomson Leighton. Morgan Kaufmann Publishers Inc., San Francisco, CA, 1991, ISBN 1-55860-117-1 Distributed Computing: A Locality-Sensitive Approach David Peleg. Society for Industrial and Applied Mathematics (SIAM), 2000, ISBN 0-89871-464-8 | |||||
Voraussetzungen / Besonderes | Course pre-requisites: Interest in algorithmic problems. (No particular course needed.) | |||||
252-0211-00L | Information Security | W | 8 KP | 4V + 3U | D. Basin, S. Capkun, E. Mohammadi | |
Kurzbeschreibung | This course provides an introduction to Information Security. The focus is on fundamental concepts and models, basic cryptography, protocols and system security, and privacy and data protection. While the emphasis is on foundations, case studies will be given that examine different realizations of these ideas in practice. | |||||
Lernziel | Master fundamental concepts in Information Security and their application to system building. (See objectives listed below for more details). | |||||
Inhalt | 1. Introduction and Motivation (OBJECTIVE: Broad conceptual overview of information security) Motivation: implications of IT on society/economy, Classical security problems, Approaches to defining security and security goals, Abstractions, assumptions, and trust, Risk management and the human factor, Course verview. 2. Foundations of Cryptography (OBJECTIVE: Understand basic cryptographic mechanisms and applications) Introduction, Basic concepts in cryptography: Overview, Types of Security, computational hardness, Abstraction of channel security properties, Symmetric encryption, Hash functions, Message authentication codes, Public-key distribution, Public-key cryptosystems, Digital signatures, Application case studies, Comparison of encryption at different layers, VPN, SSL, Digital payment systems, blind signatures, e-cash, Time stamping 3. Key Management and Public-key Infrastructures (OBJECTIVE: Understand the basic mechanisms relevant in an Internet context) Key management in distributed systems, Exact characterization of requirements, the role of trust, Public-key Certificates, Public-key Infrastructures, Digital evidence and non-repudiation, Application case studies, Kerberos, X.509, PGP. 4. Security Protocols (OBJECTIVE: Understand network-oriented security, i.e.. how to employ building blocks to secure applications in (open) networks) Introduction, Requirements/properties, Establishing shared secrets, Principal and message origin authentication, Environmental assumptions, Dolev-Yao intruder model and variants, Illustrative examples, Formal models and reasoning, Trace-based interleaving semantics, Inductive verification, or model-checking for falsification, Techniques for protocol design, Application case study 1: from Needham-Schroeder Shared-Key to Kerberos, Application case study 2: from DH to IKE. 5. Access Control and Security Policies (OBJECTIVES: Study system-oriented security, i.e., policies, models, and mechanisms) Motivation (relationship to CIA, relationship to Crypto) and examples Concepts: policies versus models versus mechanisms, DAC and MAC, Modeling formalism, Access Control Matrix Model, Roll Based Access Control, Bell-LaPadula, Harrison-Ruzzo-Ullmann, Information flow, Chinese Wall, Biba, Clark-Wilson, System mechanisms: Operating Systems, Hardware Security Features, Reference Monitors, File-system protection, Application case studies 6. Anonymity and Privacy (OBJECTIVE: examine protection goals beyond standard CIA and corresponding mechanisms) Motivation and Definitions, Privacy, policies and policy languages, mechanisms, problems, Anonymity: simple mechanisms (pseudonyms, proxies), Application case studies: mix networks and crowds. 7. Larger application case study: GSM, mobility | |||||
252-0407-00L | Cryptography Foundations Takes place the last time in this form. | W | 7 KP | 3V + 2U + 1A | U. Maurer | |
Kurzbeschreibung | Fundamentals and applications of cryptography. Cryptography as a mathematical discipline: reductions, constructive cryptography paradigm, security proofs. The discussed primitives include cryptographic functions, pseudo-randomness, symmetric encryption and authentication, public-key encryption, key agreement, and digital signature schemes. Selected cryptanalytic techniques. | |||||
Lernziel | The goals are: (1) understand the basic theoretical concepts and scientific thinking in cryptography; (2) understand and apply some core cryptographic techniques and security proof methods; (3) be prepared and motivated to access the scientific literature and attend specialized courses in cryptography. | |||||
Inhalt | See course description. | |||||
Skript | yes. | |||||
Voraussetzungen / Besonderes | Familiarity with the basic cryptographic concepts as treated for example in the course "Information Security" is required but can in principle also be acquired in parallel to attending the course. |
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