Search result: Catalogue data in Spring Semester 2017

Electrical Engineering and Information Technology Bachelor Information
Bachelor Studies (Programme Regulations 2012)
4. Semester
Examination Blocks
Examination Block 2
NumberTitleTypeECTSHoursLecturers
227-0014-00LComputer Engineering II Information Restricted registration - show details O4 credits2V + 2UR. Wattenhofer
AbstractWe learn the important functions of operating systems. Networking: IP, routing, transport, flows, applications, sockets, link and physical layer, Markov chains, PageRank, security. Storage: memory hierarchy, file systems, caching, hashing, data bases. Computation: virtualization, processes, threads, concurrency, scheduling, locking, synchronization, mutual exclusion, deadlocks, consistency.
Objectivesee above
ContentComputers come in all shapes and sizes: servers, laptops, tablets, smartphones, smartwatches, all the way down to that tiny microcontroller in a washing machine. People buy a computer because (i) it gives them access to the Internet, (ii) it provides storage, and probably also because (iii) it computes. While having network access seems to be vital, advanced storage and computing capabilities more and more move to designated servers ("the cloud"). In this lecture, we learn how computers provide networking, storage, and computation by means of an operating system.

We start out with networking, and discuss the internet protocol, addressing, routing, transport layer protocols, flows, some representative application layer protocols, and how to implement these with sockets. We also discuss the link and physical layer, Markov chains and PageRank, and selected topics in security. Regarding storage, we talk about the memory hierarchy, file systems, caching, efficient data structures such as hashing, and data base principles. Concerning computation, we discuss the virtualization of the processing units with processes and threads. We focus on concurrency and examine scheduling, locking, synchronization, mutual exclusion, deadlocks, and consistency.

The lecture will use various teaching paradigms. The majority of the lecture will be based on blackboard discussions, supported by a script. Where appropriate we will also use slides or demonstrations. A few lectures will be flipped classroom style. The lecture will feature weekly paper exercises.

However, some of the course material is best learned in front of an actual computer. In addition to the lecture we offer exciting hands-on exercises in a lab environment.
Lecture notesAvailable
227-0046-10LSignals and Systems IIO4 credits2V + 2UJ. Lygeros
AbstractContinuous and discrete time linear system theory, state space methods, frequency domain methods, controllability, observability, stability.
ObjectiveIntroduction to basic concepts of system theory.
ContentModeling and classification of dynamical systems.

Modeling of linear, time invariant systems by state equations. Solution of state equations by time domain and Laplace methods. Stability, controllability and observability analysis. Frequency domain description, Bode and Nyquist plots. Sampled data and discrete time systems.

Advanced topics: Nonlinear systems, chaos, discrete event systems, hybrid systems.
Lecture notesCopy of transparencies
LiteratureRecommended:
K.J. Astrom and R. Murray, "Feedback Systems: An Introduction for Scientists and Engineers", Princeton University Press 2009

Link
Prerequisites / NoticeTHE LECTURE WILL BE GIVEN IN ENGLISH.
Examination Block 3
NumberTitleTypeECTSHoursLecturers
401-0654-00LNumerical Methods Information O4 credits2V + 1UR. Käppeli
AbstractThe course introduces numerical methods according to the type of problem they tackle. The tutorials will include both theoretical exercises and practical tasks.
ObjectiveThis course intends to introduce students to fundamental numerical methods that form the foundation of numerical simulation in engineering. Students are to understand the principles of numerical methods, and will be taught how to assess, implement, and apply them. The focus of this class is on the numerical solution of ordinary differential equations. During the course they will become familiar with basic techniques and concepts of numerical analysis. They should be enabled to select and adapt suitable numerical methods for a particular problem.
ContentQuadrature, Newton method, initial value problems for ordinary differential equations: explicit one step methods, step length control, stability analysis and implicit methods, structure preserving methods
LiteratureM. Hanke Bourgeois: Grundlagen der Numerischen Mathematik und des Wissenschaftlichen Rechnens, BG Teubner, Stuttgart, 2002.

W. Dahmen, A. Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer, 2008.

Extensive study of the literature is not necessary for the understanding of the lectures.
Prerequisites / NoticePrerequisite is familiarity with basic calculus and linear algebra.
227-0052-10LElectromagnetic Fields and Waves Information O6 credits3V + 2UL. Novotny
AbstractThis course is focused on the generation and propagation of electromagnetic fields. Based on Maxwell's equations we will derive the wave equation and its solutions. Specifically, we will discuss fields and waves in free space, refraction and reflection at plane interfaces, dipole radiation and Green functions, vector and scalar potentials, as well as gauge transformations.
ObjectiveUnderstanding of electromagnetic fields
227-0056-00LSemiconductor Devices Information O4 credits2V + 2UC. Bolognesi
AbstractThe course covers the basic principles of semiconductor devices in micro-, opto-, and power electronics. It imparts knowledge both of the basic physics and on the operation principles of pn-junctions, diodes, contacts, bipolar transistors, MOS devices, solar cells, photodetectors, LEDs and laser diodes.
ObjectiveUnderstanding of the basic principles of semiconductor devices in micro-, opto-, and power electronics.
ContentBrief survey of the history of microelectronics. Basic physics: Crystal structure of solids, properties of silicon and other semiconductors, principles of quantum mechanics, band model, conductivity, dispersion relation, equilibrium statistics, transport equations, generation-recombination (G-R), Quasi-Fermi levels. Physical and electrical properties of the pn-junction. pn-diode: Characteristics, small-signal behaviour, G-R currents, ideality factor, junction breakdown. Contacts: Schottky contact, rectifying barrier, Ohmic contact, Heterojunctions. Bipolar transistor: Operation principles, modes of operation, characteristics, models, simulation. MOS devices: Band diagram, MOSFET operation, CV- and IV characteristics, frequency limitations and non-ideal behaviour. Optoelectronic devices: Optical absorption, solar cells, photodetector, LED, laser diode.
Lecture notesScript of the slides.
LiteratureThe lecture course follows the book Neamen, Semiconductor Physics and Devices, ISBN 978-007-108902-9, Fr. 89.00
Prerequisites / NoticeQualifications: Physics I+II
401-0604-00LProbability Theory and StatisticsO4 credits2V + 1UP. Nolin
AbstractProbability models and applications, introduction to statistical estimation and statistical tests.
ObjectiveAbility to understand the covered methods and models from probability theory and to apply them in other contexts. Ability to perform basic statistical tests and to interpret the results.
ContentThe concept of probability space and some classical models: the axioms of Kolmogorov, easy consequences, discrete models, densities, product spaces, relations between various models, distribution functions, transformations of probability distributions. Conditional probabilities, definition and examples, calculation of absolute probabilities from conditional probabilities, Bayes' formula, conditional distribution. Expectation of a random variable,application to coding, variance, covariance and correlation, linear estimator, conditional expectation, law of large numbers, central limit theorem. Introduction to statistics: estimation of parameters and tests
Lecture notesja
LiteratureTextbuch: P. Brémaud: 'An Introduction to Probabilistic Modeling', Springer, 1988.
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