Search result: Catalogue data in Spring Semester 2018
Electrical Engineering and Information Technology Bachelor  | ||||||
 2. Semester | ||||||
| First Year Examinations | ||||||
| First Year Examination Block A Offered in the autumn semester. | ||||||
| First Year Examination Block B | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 401-0232-10L | Analysis II | O | 8 credits | 4V + 2U | T. H. Willwacher | |
| Abstract | Introduction to differential calculus and integration in several variables. | |||||
| Learning objective | ||||||
| Content | Differentiation in several variables, maxima and minima, the implicit function theorem, integration in several variables, integration over submanifolds, the theorems of Gauss and Stokes. | |||||
| Lecture notes | Konrad Koenigsberger, Analysis II. Christian Blatter: Ingenieur-Analysis (Kapitel 4-6). | |||||
| 252-0836-00L | Computer Science II | O | 4 credits | 2V + 1U | F. Mattern | |
| Abstract | Introduction to basic problem solving methods, algorithms, and data structures. Topics: divide and conquer, recursion, sorting algorithms, backtracking, game tree search, data structures (lists, stacks, binary trees, etc.), discrete simulation, concurrency, complexity, verification. In the assignments and exercises, the programming language Java is used. | |||||
| Learning objective | Introduction to the general methods of computer science for electrical engineers. Also provides basic skills for advanced exercises and projects later in the electrical engineering program. | |||||
| Content | Part II of the lecture concentrates on the most common problem solving skills, algorithms, and data structures. It also teaches fundamental concepts and mechanisms of structured programming. Furthermore, working with formal systems, the necessity of abstraction, and the importance of modeling in computer science will be motivated. The emphasis of the lecture is on practical concepts of computer science. Specific topics are: complexity and correctness of algorithms, divide and conquer, recursion, algorithms for sorting, backtracking, game tree search, data structures (lists, stacks, inary trees, etc.), discrete simulation, concurrency, and verification. For the assignments and exercises, the programming language Java is used. Here, also modularization, abstraction, encapsulation, and object orientation will be considered. Occasionally, short remarks on the historical context of relevant concepts are given. In the practice groups, students program an automatic player for the game "Reversi"; at the end of the semester a tournament will take place. | |||||
| Lecture notes | Copies of slides, extended with bonus slides that give hints to advanced concepts and present the historical context of selected concepts. | |||||
| Literature | Textbook: Mark Allan Weiss: Data Structures and Problem Solving Using Java, Addison Wesley. | |||||
| Prerequisites / Notice | Prerequisite: Part 1 of the course. | |||||
| 401-0302-10L | Complex Analysis | O | 4 credits | 3V + 1U | P. S. Jossen | |
| Abstract | Basics of complex analysis in theory and applications, in particular the global properties of analytic functions. Introduction to the integral transforms and description of some applications | |||||
| Learning objective | Erwerb von einigen grundlegenden Werkzeuge der komplexen Analysis. | |||||
| Content | Examples of analytic functions, Cauchy‘s theorem, Taylor and Laurent series, singularities of analytic functions, residues. Fourier series and Fourier integral, Laplace transform. | |||||
| Literature | M. Ablowitz, A. Fokas: "Complex variables: introduction and applications", Cambridge Text in Applied Mathematics, Cambridge University Press 1997 E. Kreyszig: "Advanced Engineering Analysis", Wiley 1999 J. Brown, R. Churchill: "Complex Analysis and Applications", McGraw-Hill 1995 J. Marsden, M. Hoffman: "Basic complex analysis", W. H. Freeman 1999 P. P. G. Dyke: "An Introduction to Laplace Transforms and Fourier Series", Springer 2004 Ch. Blatter: "Komplexe Analysis, Fourier- und Laplace-Transformation", Autographie A. Oppenheim, A. Willsky: "Signals & Systems", Prentice Hall 1997 M. Spiegel: "Laplace Transforms", Schaum's Outlines, Mc Graw Hill | |||||
| Prerequisites / Notice | Prerequisites: Analysis I and II | |||||
| 227-0002-00L | Networks and Circuits II | O | 8 credits | 4V + 2U | J. W. Kolar | |
| Abstract | Introduction to AC circuits analysis, Fourier analysis, frequency and time domain, step response of electric circuits, Fourier and Laplace transform, frequency response of electric networks, two-port systems, bipolar and field-effect transistor, basic transistor circuits, push-pull emitter follower and differential amplifier, operational amplifier, basic and advanced operational amplifier circuits | |||||
| Learning objective | The lecture is aiming to make students familiar with basis methods of AC circuits analysis, the Fourier analysis of non-sinusoidal periodic signals, i.e. the relations of frequency and time domain, the calculation of the step response and transfer function of linear networks using Fourier- and Laplace transform and the analysis and design of transistor and operational amplifier circuits. | |||||
| Content | Introduction to AC circuits analysis, Fourier analysis, frequency and time domain, step response of electric circuits, Fourier and Laplace transform, frequency response of electric networks, two-port systems, bipolar and field-effect transistor, basic transistor circuits, push-pull emitter follower and differential amplifier, operational amplifier, basic and advanced operational amplifier circuits | |||||
| Lecture notes | Specified literature and lectures slides | |||||
| Literature | Grundlagen der Elektrotechnik Bd. 2 - Periodische und nicht periodische Signalformen M. Albach Pearson Studium ISBN 9783868940800 Bd. 3 - Netzwerke L.-P. Schmidt et al. Pearson Studium Ausgabe 2006 (ISBN 9783827371072) alternativ: Grundlagen Elektrotechnik – Netzwerke (ISBN 9783868942392) Microelectronic Circuits Adel S. Sedra, Kenneth C. Smith (Vorlesung entsprechend 5th Edition) Oxford University Press ISBN 9780199339143 | |||||
| 402-0052-00L | Physics I: Waves and Thermodynamics | O | 4 credits | 2V + 2U | A. Imamoglu | |
| Abstract | Physics I is an introduction to continuum mechanics, wave phenomena, and fundamental concepts of thermodynamics. | |||||
| Learning objective | After completing this course, students should be able to construct and apply simple models of dynamics in non-rigid materials. Students should also be able to identify and relate basic thermodynamic quantities in equilibrium systems given realistic constraints. | |||||
| Content | The lecture will discuss the following concepts: Waves - One dimensional wave equation - Plane waves, spherical waves in 2 and 3 dimensions - Elastic waves, sound velocity - Stationary waves, resonances - Propagation: interference and diffraction - Doppler effect Thermodynamics - Kinetic theory of gases, perfect gases - Conservation of energy, first principle - Second principle, thermal cycles - Entropy, thermodynamical and statistical interpretation - Thermal radiation and heat transfer. | |||||
| Lecture notes | The lecture notes will be distributed via the Moodle platform. | |||||
| Literature | P. A. Tipler and G. Mosca, "Physics for Scientists and Engineers" (6th edition) Chapters 14-20. | |||||
| Prerequisites / Notice | Technical Mechanics, Analysis | |||||
| First Year Compulsory Laboratory Courses | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 227-0004-10L | Networks and Circuits Laboratory  Only for Electrical Engineering and Information Technology BSc. | O | 1 credit | 1P | J. W. Kolar | |
| Abstract | Concepts from the lectures "Networks and Circuits I and II" explored through experiments, with inductive energy transmission systems (equivalent circuit parameters, transmission characteristics, resonance compensation, high-voltage generation) and photovoltaics (solar module characteristics, power flow adjustment with DC-DC converters, electro-mechanical energy conversion) used as examples. | |||||
| Learning objective | The core topics of the course "Networks and Circuits I and II" are reviewed in practice, through experiments, in a modern laboratory environment. Furthermore, through the illustrative experiments in the fields of inductive power transfer and photovoltaics, a methodical experimental approach, the use of modern measurement equipment, and proper documentation skills are all learned. | |||||
| Content | The "Networks and Circuits Laboratory" covers core topics presented in the lectures and exercises of the courses "Networks and Circuits I and II" through experiments. These topics are demonstrated in practice within the context of selected real-world industrial applications: - Inductive power transfer (topics: parameters of equivalent circuits, transmission characteristics, resonance compensation, and high-voltage generation); and - Photovoltaics (topics: characteristics and power performance of a solar module, power flow and/or operating point adjustment with power electronic converters, electro-mechanical energy conversion). In each experiment, after measuring and observing components and subsystems of the above, the structuring and overall function of the system is discussed, in order to promote higher-level abstract reasoning and synthesis skills in addition to analysis skills. Further important goals of this Laboratory Course are familiarisation with modern measuring equipment, and highlighting the importance of planning, executing, and documenting experiments and measurements in a thorough and methodical fashion. | |||||
| Lecture notes | Instruction manual | |||||
| Literature | Lectures documents Networks and Circuits I and II | |||||
| Prerequisites / Notice | Networks and Circuits I and II | |||||
| 4. Semester | ||||||
| Examination Blocks | ||||||
| Examination Block 2 | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 227-0014-00L | Computer Engineering II | O | 4 credits | 2V + 2U | R. Wattenhofer | |
| Abstract | We 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. | |||||
| Learning objective | see above | |||||
| Content | Computers 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 notes | Available | |||||
| 227-0046-10L | Signals and Systems II | O | 4 credits | 2V + 2U | J. Lygeros | |
| Abstract | Continuous and discrete time linear system theory, state space methods, frequency domain methods, controllability, observability, stability. | |||||
| Learning objective | Introduction to basic concepts of system theory. | |||||
| Content | Modeling 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 notes | Copy of transparencies | |||||
| Literature | Recommended: K.J. Astrom and R. Murray, "Feedback Systems: An Introduction for Scientists and Engineers", Princeton University Press 2009 http://www.cds.caltech.edu/~murray/amwiki/ | |||||
| Prerequisites / Notice | THE LECTURE WILL BE GIVEN IN ENGLISH. | |||||
| Examination Block 3 | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 401-0654-00L | Numerical Methods | O | 4 credits | 2V + 1U | R. Käppeli | |
| Abstract | The course introduces numerical methods according to the type of problem they tackle. The tutorials will include both theoretical exercises and practical tasks. | |||||
| Learning objective | This 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. | |||||
| Content | Quadrature, Newton method, initial value problems for ordinary differential equations: explicit one step methods, step length control, stability analysis and implicit methods, structure preserving methods | |||||
| Literature | M. 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 / Notice | Prerequisite is familiarity with basic calculus and linear algebra. | |||||
| 227-0052-10L | Electromagnetic Fields and Waves | O | 6 credits | 3V + 2U | L. Novotny | |
| Abstract | This 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. | |||||
| Learning objective | Understanding of electromagnetic fields | |||||
| 227-0056-00L | Semiconductor Devices | O | 4 credits | 2V + 2U | C. Bolognesi | |
| Abstract | The 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. | |||||
| Learning objective | Understanding of the basic principles of semiconductor devices in micro-, opto-, and power electronics. | |||||
| Content | Brief 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 notes | Script of the slides. | |||||
| Literature | The lecture course follows the book Neamen, Semiconductor Physics and Devices, ISBN 978-007-108902-9, Fr. 89.00 | |||||
| Prerequisites / Notice | Qualifications: Physics I+II | |||||
| 401-0604-00L | Probability Theory and Statistics | O | 4 credits | 2V + 1U | A.‑S. Sznitman | |
| Abstract | Probability models and applications, introduction to statistical estimation and statistical tests. | |||||
| Learning objective | Ability 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. | |||||
| Content | The 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, law of large numbers, central limit theorem. Introduction to statistics: estimation of parameters and tests | |||||
| Lecture notes | ja | |||||
| Literature | Textbuch: P. Brémaud: 'An Introduction to Probabilistic Modeling', Springer, 1988. | |||||
| Laboratory Courses, Projects, Seminars A minimum of 18 cp must be obtained from the category "Laboratory Courses, Projects, Seminars". | ||||||
| General Laboratory | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 227-0095-10L | General Laboratory I Only for Electrical Engineering and Information Technology BSc. Enrolment via Online-Tool (EE-Website: Education > Bachelor > Third Year > Laboratory Courses). | W | 2 credits | 2P | Professors | |
| Abstract | The Laboratory courses in the 5th and 6th semesters enable the students to put the the contents of the courses from the four first semesters to the test and to consolidate the aquired knowledge. Furthermore students have the possibilty to gain specific knowledge in certain software packages as MATLAB. | |||||
| Learning objective | Implementing the knowledge acquired during the basic studies. | |||||
| Prerequisites / Notice | Enrollment through the Online-Tool, Link | |||||
| 227-0096-10L | General Laboratory II Only for Electrical Engineering and Information Technology BSc. Enrolment via Online-Tool (EE-Website: Education > Bachelor > Third Year > Laboratory Courses). | W | 4 credits | 4P | Professors | |
| Abstract | The Laboratory courses in the 5th and 6th semesters enable the students to put the the contents of the courses from the four first semesters to the test and to consolidate the aquired knowledge. Furthermore students have the possibilty to gain specific knowledge in certain software packages as MATLAB. | |||||
| Learning objective | Implementing the knowledge acquired during the basic studies. | |||||
| Prerequisites / Notice | Enrollment through the Online-Tool, Link | |||||
| Projects & Seminars A maximum of 13 cp can be obtained from Projects & Seminars. Each course can be registered for only once. | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
| 227-0085-10L | Projects & Seminars for 1 CP (1) Only for Electrical Engineering and Information Technology BSc. Course can only be registered for once. A repeatedly registration in a later semester is not chargeable. | W | 1 credit | 1P | Professors | |
| Abstract | To enhance skills in practical work, team work, preparation and presentation of ones work; acquiring of knowledge in learning and project methodologies as well as to enhance motivation to look into the basics and applications. Procurement of skills in the area of Electrical Engineering and Information Technology that are useful for the remaining terms as well during ones work life. | |||||
| Learning objective | see above | |||||
| Prerequisites / Notice | Enrollment through the Online-Tool, https://isgapps.ee.ethz.ch/ppsapp/ | |||||
| 227-0085-20L | Projects & Seminars for 1 CP (2) Only for Electrical Engineering and Information Technology BSc. Course can only be registered for once. A repeatedly registration in a later semester is not chargeable. | W | 1 credit | 1P | Professors | |
| Abstract | To enhance skills in practical work, team work, preparation and presentation of ones work; acquiring of knowledge in learning and project methodologies as well as to enhance motivation to look into the basics and applications. Procurement of skills in the area of Electrical Engineering and Information Technology that are useful for the remaining terms as well during ones work life. | |||||
| Learning objective | see above | |||||
| Prerequisites / Notice | Enrollment through the Online-Tool, https://isgapps.ee.ethz.ch/ppsapp/ | |||||
| 227-0085-30L | Projects & Seminars for 2 CP (1) Only for Electrical Engineering and Information Technology BSc. Course can only be registered for once. A repeatedly registration in a later semester is not chargeable. | W | 2 credits | 2P | Professors | |
| Abstract | To enhance skills in practical work, team work, preparation and presentation of ones work; acquiring of knowledge in learning and project methodologies as well as to enhance motivation to look into the basics and applications. Procurement of skills in the area of Electrical Engineering and Information Technology that are useful for the remaining terms as well during ones work life. | |||||
| Learning objective | see above | |||||
| Prerequisites / Notice | Enrollment through the Online-Tool, https://isgapps.ee.ethz.ch/ppsapp/ | |||||
| 227-0085-40L | Projects & Seminars for 2 CP (2) Only for Electrical Engineering and Information Technology BSc. Course can only be registered for once. A repeatedly registration in a later semester is not chargeable. | W | 2 credits | 2P | Professors | |
| Abstract | To enhance skills in practical work, team work, preparation and presentation of ones work; acquiring of knowledge in learning and project methodologies as well as to enhance motivation to look into the basics and applications. Procurement of skills in the area of Electrical Engineering and Information Technology that are useful for the remaining terms as well during ones work life. | |||||
| Learning objective | see above | |||||
| Prerequisites / Notice | Enrollment through the Online-Tool, https://isgapps.ee.ethz.ch/ppsapp/ | |||||
| 227-0085-50L | Projects & Seminars for 3 CP Only for Electrical Engineering and Information Technology BSc. Course can only be registered for once. A repeatedly registration in a later semester is not chargeable. | W | 3 credits | 3P | Professors | |
| Abstract | To enhance skills in practical work, team work, preparation and presentation of ones work; acquiring of knowledge in learning and project methodologies as well as to enhance motivation to look into the basics and applications. Procurement of skills in the area of Electrical Engineering and Information Technology that are useful for the remaining terms as well during ones work life. | |||||
| Learning objective | see above | |||||
| Prerequisites / Notice | Enrollment through the Online-Tool, https://isgapps.ee.ethz.ch/ppsapp/ | |||||
| 227-0085-60L | Projects & Seminars for 4 CP Only for Electrical Engineering and Information Technology BSc. Course can only be registered for once. A repeatedly registration in a later semester is not chargeable. | W | 4 credits | 4P | Professors | |
| Abstract | To enhance skills in practical work, team work, preparation and presentation of ones work; acquiring of knowledge in learning and project methodologies as well as to enhance motivation to look into the basics and applications. Procurement of skills in the area of Electrical Engineering and Information Technology that are useful for the remaining terms as well during ones work life. | |||||
| Learning objective | see above | |||||
| Prerequisites / Notice | Enrollment through the Online-Tool, https://isgapps.ee.ethz.ch/ppsapp/ | |||||
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