Search result: Catalogue data in Autumn Semester 2020

Electrical Engineering and Information Technology Master Information
Master Studies (Programme Regulations 2008)
Major Courses
A total of 42 CP must be achieved during the Master Programme. The individual study plan is subject to the tutor's approval.
Energy and Power Electronics
Recommended Subjects
These courses are recommended, but you are free to choose courses from any other special field. Please consult your tutor.
NumberTitleTypeECTSHoursLecturers
227-0101-00LDiscrete-Time and Statistical Signal Processing Information W6 credits4GH.‑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 throughout the course 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
227-0121-00LCommunication Systems Information W6 credits2V + 2UA. Wittneben
AbstractInformation Theory, Signal Space Analysis, Baseband Transmission, Passband Transmission, Example und Channel, Data Link Layer, MAC, Example Layer 2, Layer 3, Internet
ObjectiveIntroduction into the fundamentals of digital communication systems. Selected examples on the application of the fundamental principles in existing and upcoming communication systems
ContentCovered are the lower three layer of the OSI reference model: the physical, the data link, and the network layer. The basic terms of information theory are introduced. After this, we focus on the methods for the point to point communication, which may be addressed elegantly and coherently in the signal space. Methods for error detection and correction as well as protocols for the retransmission of perturbed data will be covered. Also the medium access for systems with shared medium will be discussed. Finally, algorithms for routing and flow control will be treated.

The application of the basic methods will be extensively explained using existing and future wireless and wired systems.
Lecture notesLecture Slides
Literature[1] Simon Haykin, Communication Systems, 4. Auflage, John Wiley & Sons, 2001
[2] Andrew S. Tanenbaum, Computernetzwerke, 3. Auflage, Pearson Studium, 2003
[3] M. Bossert und M. Breitbach, Digitale Netze, 1. Auflage, Teubner, 1999
227-0225-00LLinear System TheoryW6 credits5GM. Colombino
AbstractThe class is intended to provide a comprehensive overview of the theory of linear dynamical systems, stability analysis, and their use in control and estimation. The focus is on the mathematics behind the physical properties of these systems and on understanding and constructing proofs of properties of linear control systems.
ObjectiveStudents should be able to apply the fundamental results in linear system theory to analyze and control linear dynamical systems.
Content- Proof techniques and practices.
- Linear spaces, normed linear spaces and Hilbert spaces.
- Ordinary differential equations, existence and uniqueness of solutions.
- Continuous and discrete-time, time-varying linear systems. Time domain solutions. Time invariant systems treated as a special case.
- Controllability and observability, duality. Time invariant systems treated as a special case.
- Stability and stabilization, observers, state and output feedback, separation principle.
Lecture notesAvailable on the course Moodle platform.
Prerequisites / NoticeSufficient mathematical maturity, in particular in linear algebra, analysis.
227-0517-10LFundamentals of Electric Machines Information W6 credits4GD. Bortis
AbstractThis course introduces to different electric machine concepts and provides a deeper understanding of their detailed operating principles. Different aspects arising in the design of electric machines, like dimensioning of magnetic and electric circuits as well as consideration of mechanical and thermal constraints, are investigated. The exercises are used to consolidate the concepts discussed.
ObjectiveThe objective of this course is to convey knowledge on the operating
principles of different types of electric machines. Further objectives are to evaluate machine types for given specification and to acquire the ability to perform a rough design of an electrical machine while considering the versatile aspects with respect to magnetic, electrical, mechanical and thermal limitations. Exercises are used to consolidate the presented theoretical concepts.
Content‐ Fundamentals in magnetic circuits and electromechanical energy
conversion.
‐ Force and torque calculation.
‐ Operating principles, magnetic and electric modelling and design
of different electric machine concepts: DC machine, AC machines
(permanent magnet synchronous machine, reluctance machine
and induction machine).
‐ Complex space vector notation, rotating coordinate system (dqtransformation).
‐ Loss components in electric machines, scaling laws of
electromechanical actuators.
‐ Mechanical and thermal modelling.
Lecture notesLecture notes and associated exercises including correct answers
Prerequisites / NoticePrerequisites: Introductory course on power electronics.
227-0523-00LRailway Systems IW6 credits4GM. Meyer
AbstractBasic characteristis of railway vehicles and their interfaces with the railway infrastructure:
- Transportation tasks and vehicle types
- Running dynamics
- Mechanical part of rail vehicles
- Brakes
- Traction chain and auxiliary supply
- Railway power supply
- Signalling systems
- Standards
- Availability and safety
- Traffic control and maintenance
Objective- Overview of the technical characteristics of railway systems
- Know-how about the design and construction principles of rail vehicles
- Interrelationship between different fields of engineering sciences (mechanics, electro and information technology, transport systems)
- Understanding tasks and opportunities of engineers working in an environment which has strong economical and political boundaries
- Insight into the activities of the railway vehicle industry and railway operators in Switzerland
- Motivation of young engineers to start a career in the railway industry or with railway operators
ContentEST I (Herbstsemester) - Begriffen, Grundlagen, Merkmale

1 Einführung:
1.1 Geschichte und Struktur des Bahnsystems
1.2 Fahrdynamik

2 Vollbahnfahrzeuge:
2.3 Mechanik: Kasten, Drehgestelle, Lauftechnik, Adhäsion
2.2 Bremsen
2.3 Traktionsantriebssysteme
2.4 Hilfsbetriebe und Komfortanlagen
2.5 Steuerung und Regelung

3 Infrastruktur:
3.1 Fahrweg
3.2 Bahnstromversorgung
3.3 Sicherungsanlagen

4 Betrieb:
4.1 Interoperabilität, Normen und Zulassung
4.2 RAMS, LCC
4.3 Anwendungsbeispiele

Voraussichtlich ein oder zwei Gastreferate

Geplante Exkursionen:
Betriebszentrale SBB, Zürich Flughafen
Reparatur und Unterhalt, SBB Zürich Altstetten
Fahrzeugfertigung, Stadler Bussnang
Lecture notesAbgabe der Unterlagen (gegen eine Schutzgebühr) zu Beginn des Semesters. Rechtzeitig eingschriebene Teilnehmer können die Unterlagen auf Wunsch und gegen eine Zusatzgebühr auch in Farbe beziehen.
Prerequisites / NoticeDozent:
Dr. Markus Meyer, Emkamatik GmbH

Voraussichtlich ein oder zwei Gastvorträge von anderen Referenten.

EST I (Herbstsemester) kann als in sich geschlossene einsemestrige Vorlesung besucht werden. EST II (Frühjahrssemester) dient der weiteren Vertiefung der Fahrzeugtechnik und der Integration in die Bahninfrastruktur.
227-0567-00LDesign of Power Electronic SystemsW6 credits4GF. Krismer
AbstractComplete design process: from given specifications to a complete power electronic system; selection / design of suitable passive power components; static and dynamic properties of power semiconductors; optimized EMI filter design; heat sink optimization; additional circuitry, e.g. gate driver; system optimization.
ObjectiveBasic knowledge of design and optimization of a power electronic system; furthermore, lecture and exercises thoroughly discuss key subjects of power electronics that are important with respect to a practical realization, e.g. how to select suitable power components, to understand switching operations, calculation of high frequency losses, EMI filter design and realization, thermal considerations.
ContentComplete design process: from given specifications to a complete power electronic system.
Selection and / or design of suitable passive power components: specific properties, parasitic components, tolerances, high frequency losses, thermal considerations, reliability.
Static and dynamic characteristics of power semiconductors.
Optimized design of the EMI filter.
Thermal characterization of the converter, optimized heat sink design.
Additional circuitry: gate driver, measurement, control.
Converter start up: typical sequence of events, circuitry required.
Overall system optimization: identifying couplings between different components of the considered power electronic system, optimization targets and issues.
Lecture notesLecture notes and complementary exercises including correct answers.
Prerequisites / NoticePrerequisites: Introductory course on power electronics.
227-0618-00LModeling, Characterization and Reliability of Power Semiconductors Information
Does not take place this semester.
W6 credits4G
AbstractThis lecture provides theoretical and experimental knowledge on the techniques for the characterization and numerical modeling of power semiconductors, as well on the related built-in reliability strategies.
ObjectiveThe students shall get acquainted with the most important concepts and techniques for characterization, numerical modeling and built-in reliability of modern power semiconductor devices. This knowledge is intended to provide the future engineer with the theoretical background and tools for the design of dependable power devices and systems.
ContentThis lecture consists of a theoretical part (50%) and of laboratory exercises and demonstrations (50%).
The theoretical part covers the basic techniques and procedures for characterization, modeling and built-in reliability of modern power semiconductor devices with special attention to MOS and IGBT. The starting part on technology provides an overview on the main device families and includes a review of the most relevant application-oriented aspects of the device physics, thermal management, and packaging. The second section deals with the basic experimental characterization techniques for the definition of the semiconductor material properties, electrical characteristics, safe operating area, and junction temperature of the devices. The following section introduces the basic principles for electrical, thermal, and electro-thermal simulation of power semiconductors by Technology Computed Aided Design (TCAD) and compact modeling. Finally, procedures are methods are presented to implement efficient built-in reliability programs targeted on power semiconductors. They include failure physics, dedicated failure analysis techniques, accelerated testing, defect screening, and lifetime modeling.
During the laboratory activities, selections of the experimental techniques presented in the lecture are demonstrated on the base of realistic examples. Furthermore, schematic power devices will be simulated by the students with advanced TCAD tools and circuit simulators.
Lecture notesHandouts to the lecture (approx. 250 pp.)
LiteratureEiichi Ohno: "Introduction to Power Electronics"
B. Murari et al.: "Smart Power ICs"
B. J. Baliga: "Physics Modern Power Devices"
S. K. Ghandi: "Semiconductor Power Devices"
227-0697-00LIndustrial Process ControlW4 credits3GA. Horch, M. Mercangöz
AbstractIntroduction to industrial automation systems with application to the process industry, power generation as well as discrete manufacturing.
ObjectiveGeneral understanding of industrial automation systems in different industries. Purpose, architecture, technologies, application examples, current and future trends.
ContentIntroduction to process automation: system architecture, data handling, communication (fieldbuses), process visualization, and engineering. Differences and characteristics of discrete manufacturing and process industries.
Analysis and design of open loop control problems: discrete automata, finite state machines, decision tables, and petri-nets. Practical analysis and design of closed-loop control for the process industry.
Automation Engineering: Application programming in IEC 61131-3 (ladder diagrams, function blocks, sequence control, structured text); PLC programming and simulation, process visualization and operation; engineering integration from sensors, cabling, topology design, function, visualization, diagnosis, to documentation; Industry standards (e.g. OPC, Profibus); Ergonomic design, safety (IEC61508) and availability, supervision and diagnosis.
Process Automation: Communication standards, Architecture, dependable systems, process safety, automation security.
Extensive practical examples from different process industries, power generation, gas compressor control, and automotive manufacturing.
Lecture notesSlides will be available as .PDF documents, see "Learning materials" (for registered students only). Each online lecture will be recorded. Recordings will be published together with the course material (PDF documents).
LiteratureReferences will be given at the end of individual lectures.
Prerequisites / NoticeThe lecture will be conducted as an online course via Zoom only.

Exercises: Tuesday 15-16

Practical exercises will illustrate some topics, e.g. some control software coding using industry standard programming tools based on IEC61131-3.

All lectures will be online only. The same Zoom Link works each Tuesday.

Please download and import the following iCalendar (.ics) files to your calendar system.
Weekly: Link
Join Zoom Meeting
Link
Meeting ID: 917 3375 5951
227-0731-00LPower Market I - Portfolio and Risk ManagementW6 credits4GD. Reichelt, G. A. Koeppel
AbstractPortfolio and risk management in the electrical power business, Pan-European power market and trading, futures and forward contracts, hedging, options and derivatives, performance indicators for the risk management, modelling of physical assets, cross-border trading, ancillary services, balancing power market, Swiss market model.
ObjectiveKnowlege on the worldwide liberalisation of electricity markets, pan-european power trading and the role of power exchanges. Understand financial products (derivatives) based on power. Management of a portfolio containing physical production, contracts and derivatives. Evaluate trading and hedging strategies. Apply methods and tools of risk management.
Content1. Pan-European power market and trading
1.1. Power trading
1.2. Development of the European power markets
1.3. Energy economics
1.4. Spot and OTC trading
1.5. European energy exchange EEX

2. Market model
2.1. Market place and organisation
2.2. Balance groups / balancing energy
2.3. Ancillary services
2.4. Market for ancillary services
2.5. Cross-border trading
2.6. Capacity auctions

3. Portfolio and Risk management
3.1. Portfolio management 1 (introduction)
3.2. Forward and futures contracts
3.3. Risk management 1 (m2m, VaR, hpfc, volatility, cVaR)
3.4. Risk management 2 (PaR)
3.5. Contract valuation (HPFC)
3.6. Portfolio management 2
2.8. Risk Management 3 (enterprise wide)

4. Energy & Finance I
4.1. Options 1 – basics
4.2. Options 2 – hedging with options
4.3. Introduction to derivatives (swaps, cap, floor, collar)
4.4. Financial modelling of physical assets
4.5. Trading and hydro power
4.6. Incentive regulation
Lecture notesHandouts of the lecture
Prerequisites / Notice1 excursion per semester, 2 case studies, guest speakers for specific topics.
Course Moodle: Link
227-0759-00LInternational Business Management for EngineersW3 credits2VW. Hofbauer
AbstractGlobalization of markets increases global competition and requires enterprises to continuously improve their performance to sustainably survive. Engineers substantially contribute to the success of an enterprise provided they understand and follow fundamental international market forces, economic basics and operational business management.
ObjectiveThe goal of the lecture is to get a basic understanding of international market mechanisms and their consequences for a successful enterprise. Students will learn by practical examples how to analyze international markets, competition as well as customer needs and how they convert into a successful portfolio an enterprise offers to the global market. They will understand the basics of international business management, why efficient organizations and effective business processes are crucial for the successful survival of an enterprise and how all this can be implemented.
ContentThe first part of the course provides an overview about the development of international markets, the expected challenges and the players in the market. The second part is focusing on the economic aspects of an enterprise, their importance for the long term success and how to effectively manage an international business. Based on these fundamentals the third part of the course explains how an innovative product portfolio of a company can be derived from considering the most important external factors and which consequences in respect of product innovation, competitive product pricing, organization and business processes emerge. Each part of the course includes practical examples to demonstrate the procedure.
Lecture notesA script is provided for this lecture.
Prerequisites / NoticeThe lecture will be held in three blocks each of them on a Saturday (starts on September 19, 2020). Each block will focus on one of the three main topics of the course. Between the blocks the students will work on specific case studies to deepen the subject matter. About two weeks after the third block a written examination will be conducted.
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