Search result: Catalogue data in Spring Semester 2021

Electrical Engineering and Information Technology Master Information
Master's Thesis
NumberTitleTypeECTSHoursLecturers
227-1501-00LMaster's Thesis Restricted registration - show details
Admission only if ALL of the following apply:
a) bachelor program successfully completed;
b) acquired (if applicable) all credits from additional requirements for admission to master program;
c) successfully completed both semester projects.

Note: the conditions above are not applicable to incoming exchange students.

Registration in mystudies required!
Supervisor must be a professor at D-ITET or associated, see Link.
O30 credits68DSupervisors
AbstractThe Master Program finishes with a 6-months Master Thesis which is directed by a Professor of the Department or a Professor of another Department who is associated with the D-ITET. Students gain the ability to conduct independent scientific research on a specific research problem.
Objectivesee above
Prerequisites / NoticeSupervisor must be a professor at D-ITET or associated, see Link
227-1101-00LHow to Write Scientific Texts
Strongly recommended prerequisite for Semester Projects, Bachelor's, and Master Theses at D-ITET (MSc BME, BSc/MSc EEIT, MSc EST and MSc QE).
E-0 creditsU. Koch
AbstractThe four hour lecture covers the basics of writing and presenting of scientific work. The focus is on the structure and the main elements of a scientific text rather than the language. Citation rules, good practice of scientific writing and an overview on software tools are part of the training.
Objective- Knowledge on structure and content of scientific texts and presentations
- Stimulation of a discussion on how to write a scientific text versus an interesting novel
- Discussion of the practice of proper citing and critical reflection on plagiarism
Content* Topic 1: Structure of Scientific Texts (title, author list, abstract, state-of-the-art, "in this paper" paragraph, scientific part, summary, equations, figures)

* Topic 2: Structure of Scientific Presentations

* Topic 3: Citation Rules and Citation Software

* Topic 4: Guidelines for Research Integrity

The lecture will be given in two parts on two afternoons. Some exercises will be built into the lecture.
LiteratureETH "Citation Etiquette", see Link.

ETH "Guidelines for Research Integrity", see Link
Prerequisites / NoticeStudents should be writing either a bachelor/semester/master thesis or a scientific publication in the immediate future.
Generally Accessible Seminars and Colloquia
NumberTitleTypeECTSHoursLecturers
227-0919-00LKnowledge-Based Image InterpretationZ0 credits2SL. Van Gool
AbstractWith the lecture series on special topics of Knowledge based image interpretation we sporadically offer special talks.
ObjectivePresentation and discussion of internal and external original research results on the area of image analysis, computer vision, virtual and augmented reality and physically based simulation. Following recent work in the literature.
ContentPresentation and discussion of internal and external original research results on the area of image analysis, computer vision, virtual and augmented reality and physically based simulation. Following recent work in the literature.
227-0920-00LSeminar in Systems and ControlZ0 credits1SS. Bolognani, R. D'Andrea, J. Lygeros, R. Smith
AbstractCurrent topics in Systems and Control presented mostly by external speakers from academia and industry.
Objectivesee above
227-0980-00LSeminar on Biomedical Magnetic ResonanceZ0 credits1SK. P. Prüssmann, S. Kozerke, M. Weiger Senften
AbstractCurrent developments and problems of magnetic resonance imaging (MRI)
ObjectiveGetting insight into advanced topics in magnetic resonance imaging
227-0970-00LResearch Topics in Biomedical EngineeringZ0 credits2KK. P. Prüssmann, S. Kozerke, M. Stampanoni, K. Stephan, J. Vörös
AbstractCurrent topics in Biomedical Engineering presented mostly by external speakers from academia and industry.
Objectivesee above
227-0955-00LSeminar in Electromagnetics, Photonics and Terahertz Information Z3 credits2SJ. Leuthold
AbstractSelected topics of the current research activities of the IFH and closely related institutions are discussed.
ObjectiveHave an overview on the research activities of the IFH.
ContentWeekly review of hot topics in the field of electromagnetics, optics and photonics and optical communications.
Course Units for Additional Admission Requirements
The courses below are only available for MSc students with additional admission requirements.
NumberTitleTypeECTSHoursLecturers
227-0101-AALDiscrete-Time and Statistical Signal Processing Information
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-6 credits8RH.‑A. Loeliger
AbstractThe course introduces some fundamental topics of digital signal processing with a bias towards applications in communications: discrete-time linear filters, inverse filters and equalization, DFT, discrete-time stochastic processes, elements of detection theory and estimation theory, LMMSE estimation and LMMSE filtering, LMS algorithm, Viterbi algorithm.
ObjectiveThe course introduces some fundamental topics of digital signal processing with a bias towards applications in communications. The two main themes are linearity and probability. In the first part of the course, we deepen our understanding of discrete-time linear filters. In the second part of the course, we review the basics of probability theory and discrete-time stochastic processes. We then discuss some basic concepts of detection theory and estimation theory, as well as some practical methods including LMMSE estimation and LMMSE filtering, the LMS algorithm, and the Viterbi algorithm. A recurrent theme is the stable and robust "inversion" of a linear filter.
Content1. Discrete-time linear systems and filters:
state-space realizations, z-transform and spectrum,
decimation and interpolation, digital filter design,
stable realizations and robust inversion.

2. The discrete Fourier transform and its use for digital filtering.

3. The statistical perspective:
probability, random variables, discrete-time stochastic processes;
detection and estimation: MAP, ML, Bayesian MMSE, LMMSE;
Wiener filter, LMS adaptive filter, Viterbi algorithm.
Lecture notesLecture Notes
227-0103-AALControl Systems
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-6 credits8RF. Dörfler
AbstractStudy of concepts and methods for the mathematical description and analysis of dynamical systems. The concept of feedback. Design of control systems for single input - single output and multivariable systems.
ObjectiveStudy of concepts and methods for the mathematical description and analysis of dynamical systems. The concept of feedback. Design of control systems for single input - single output and multivariable systems.
ContentProcess automation, concept of control. Modelling of dynamical systems - examples, state space description, linearisation, analytical/numerical solution. Laplace transform, system response for first and second order systems - effect of additional poles and zeros. Closed-loop control - idea of feedback. PID control, Ziegler - Nichols tuning. Stability, Routh-Hurwitz criterion, root locus, frequency response, Bode diagram, Bode gain/phase relationship, controller design via "loop shaping", Nyquist criterion. Feedforward compensation, cascade control. Multivariable systems (transfer matrix, state space representation), multi-loop control, problem of coupling, Relative Gain Array, decoupling, sensitivity to model uncertainty. State space representation (modal description, controllability, control canonical form, observer canonical form), state feedback, pole placement - choice of poles. Observer, observability, duality, separation principle. LQ Regulator, optimal state estimation.
LiteratureG.F. Franklin, J.D. Powell, A. Emami-Naeini. Feedback Control of Dynamic Systems. 6th edition, Prentice Hall, Version 2009, Reading, ISBN 978-0-1350-150-9.Softcover student's edition ca. CHF 150.-. (Spring 2010)
Prerequisites / NoticePrerequisites:
Signal and Systems Theory / MATLAB skills
227-0117-AALHigh Voltage Engineering
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-6 credits8RC. Franck
AbstractUnderstanding of the fundamental phenomena and principles connected with the occurrence of extensive electric field strengths. This knowledge is applied to the dimensioning of equipment of electric power systems.
ObjectiveThe students know the fundamental phenomena and principles connected with the occurrence of extensive electric field strengths. They comprehend the different mechanisms leading to the failure of insulation systems and are able to apply failure criteria on the dimensioning of high voltage components. They have the ability to identify of weak spots in insulation systems and to name possibilities for improvement. Further they know the different insulation systems and their dimensioning in practice.
Content- discussion of the field equations relevant for high voltage engineering.
- analytical and numerical solutions/solving of this equations, as well as the derivation of the important equivalent circuits for the description of the fields and losses in insulations
- introduction to kinetic theory of gases
- mechanisms of the breakdown in gaseous, liquid and solid insulations, as well as insulation systems
- methods for the mathematical determination of the electric withstand of gaseous, liquid and solid insulations
- application of the expertise on high voltage components
- excursions to manufacturers of high voltage components
Lecture notesHandouts
LiteratureA. Küchler, Hochspannungstechnik, Springer Berlin, 4. Auflage, 2017 (ISBN: 978-3662546994)
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