# Search result: Catalogue data in Autumn Semester 2018

Electrical Engineering and Information Technology Bachelor | ||||||

Bachelor Studies (Programme Regulations 2016) | ||||||

3. Semester | ||||||

Examination Blocks | ||||||

Examination Block 1 | ||||||

Number | Title | Type | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|---|

401-0353-00L | Analysis III | O | 4 credits | 2V + 2U | A. Figalli | |

Abstract | In this lecture we treat problems in applied analysis. The focus lies on the solution of quasilinear first order PDEs with the method of characteristics, and on the study of three fundamental types of partial differential equations of second order: the Laplace equation, the heat equation, and the wave equation. | |||||

Objective | The aim of this class is to provide students with a general overview of first and second order PDEs, and teach them how to solve some of these equations using characteristics and/or separation of variables. | |||||

Content | 1.) General introduction to PDEs and their classification (linear, quasilinear, semilinear, nonlinear / elliptic, parabolic, hyperbolic) 2.) Quasilinear first order PDEs - Solution with the method of characteristics - COnservation laws 3.) Hyperbolic PDEs - wave equation - d'Alembert formula in (1+1)-dimensions - method of separation of variables 4.) Parabolic PDEs - heat equation - maximum principle - method of separation of variables 5.) Elliptic PDEs - Laplace equation - maximum principle - method of separation of variables - variational method | |||||

Literature | Y. Pinchover, J. Rubinstein, "An Introduction to Partial Differential Equations", Cambridge University Press (12. Mai 2005) | |||||

Prerequisites / Notice | Prerequisites: Analysis I and II, Fourier series (Complex Analysis) | |||||

402-0053-00L | Physics II | O | 8 credits | 4V + 2U | J. Faist | |

Abstract | The goal of the Physics II class is an introduction to quantum mechanics | |||||

Objective | To work effectively in many areas of modern engineering, such as renewable energy and nanotechnology, students must possess a basic understanding of quantum mechanics. The aim of this course is to provide this knowledge while making connections to applications of relevancy to engineers. After completing this course, students will understand the basic postulates of quantum mechanics and be able to apply mathematical methods for solving various problems including atoms, molecules, and solids. Additional examples from engineering disciplines will also be integrated. | |||||

Content | Content: - The Photon of Planck and Einstein - Wave mechanics: the old quantum theory - Postulates and formalism of Quantum Mechanics - First application: the quantum well and the harmonic Oscillator - QM in three dimension: the Hydrogen atom - Identical particles: Pauli's principle - Crystalline Systems and band structures - Quantum statistics - Approximation Methods - Applications in Engineering - Entanglement and superposition | |||||

Lecture notes | Lecture notes (Some in as a Latex script and some hand-written) will be distributed via the Moodle interface | |||||

Literature | David J. Griffiths, "Introduction to quantum mechanics" Second edition, Cambridge University Press. Link | |||||

Prerequisites / Notice | Prerequisites: Physics I. | |||||

227-0045-00L | Signals and Systems I | O | 4 credits | 2V + 2U | H. Bölcskei | |

Abstract | Signal theory and systems theory (continuous-time and discrete-time): Signal analysis in the time and frequency domains, signal spaces, Hilbert spaces, generalized functions, linear time-invariant systems, sampling theorems, discrete-time signals and systems, digital filter structures, Discrete Fourier Transform (DFT), finite-dimensional signals and systems, Fast Fourier Transform (FFT). | |||||

Objective | Introduction to mathematical signal processing and system theory. | |||||

Content | Signal theory and systems theory (continuous-time and discrete-time): Signal analysis in the time and frequency domains, signal spaces, Hilbert spaces, generalized functions, linear time-invariant systems, sampling theorems, discrete-time signals and systems, digital filter structures, Discrete Fourier Transform (DFT), finite-dimensional signals and systems, Fast Fourier Transform (FFT). | |||||

Lecture notes | Lecture notes, problem set with solutions. | |||||

227-0013-00L | Computer Engineering I | O | 4 credits | 2V + 1U + 1P | L. Thiele | |

Abstract | The course provides knowledge about structures and models of digital systems (abstract data types finite state automata, dependence and process graphs), assembler and compiler, control path and data path, pipelining, speculation techniques, superscalar computer architectures, memory hierarchy and virtual memory, operating system, processes and threads. | |||||

Objective | Logical and physical structure of computer systems. Introduction to principles in hardware design, datapath and control path, assembler programming, modern architectures (pipelining, speculation techniques, superscalar architectures), memory hierarchy and virtual memnory, software concepts. | |||||

Content | Structures and models of digital systems (abstract data types finite state automata, dependence and process graphs), abstraction and hierarchy in computer systems, assembler and compiler, control path and data path, pipelining, speculation techniques, superscalar computer architectures, memory hierarchy and virtual memory, operating system, processes and threads. Theoretical and practical exercises using a simulation-based infrastructure. | |||||

Lecture notes | Material for practical training, copies of transparencies. | |||||

Literature | D.A. Patterson, J.L. Hennessy: Computer Organization and Design: The Hardware/ Software Interface. Morgan Kaufmann Publishers, Inc., San Francisco, ISBN-13: 978-0124077263, 2014. | |||||

Prerequisites / Notice | Prerequisites: Programming skills in high level language, knowledge of digital design. | |||||

Examination Block 2 | ||||||

Number | Title | Type | ECTS | Hours | Lecturers | |

227-0077-10L | Electronic Circuits | O | 4 credits | 2V + 1U | Q. Huang | |

Abstract | Introductory lecture on electronic circuits. Transistor fundamentals, analysis and design of transistor based electronic circuits such as amplifiers and filters; A/D- and D/A-converters, function generators, oscillators, PLLs. | |||||

Objective | Modern, transistor-based electronics has transformed our lives and plays a crucial role in our economy since the 2nd half of last century. The main objective of this course in electronic circuits is to introduce the concept of active device, including operational amplifiers, and their use in amplification, signal conditioning, switching and filtering to students. In addition to gaining experience with typical electronic circuits that are found in common applications, including their own Gruppenarbeit and Fachpraktikum projects, students sharpen their understanding of linear circuits based on nonlinear devices, imperfections of electronic circuits and the concept of design (as opposed to analysis). The course is a prerequisite for higher semester subjects such as analog integrated circuits, RF circuits for wireless communications, A/D and D/A converters and optoelectronics. | |||||

Content | Review of transistor devices (bipolar and MOSFET), large signal and small signal characteristics, biasing and operating points. Single transistor amplifiers, simple feedback for bias stabilization. Frequency response of simple amplifiers. Broadbanding techniques. Differential amplifier, variable gain amplifiers. Instrumentation amplifiers: common mode rejection, noise, distortion, chopper stabilization. Transimpedance amplifiers. Active filters: simple and biquadratic active RC-filters, higher order filters, biquad and ladder realizations. Switched-capacitor filters. Nonlinear active circuits. Signal generation: oscillators, function generators. | |||||

Literature | - Holger Göbel. Einführung in die Halbleiter-Schaltungstechnik. Springer, Berlin, 2nd edition, 2006. - A. Sedra and K. Smith, Microelectronic Circuits, 7th Edition, Oxford University Press | |||||

401-0053-00L | Discrete Mathematics | O | 4 credits | 2V + 1U | R. Zenklusen | |

Abstract | Introduction to foundations of discrete mathematics: combinatorics (elementary counting), graph theory, algebra, and applications thereof. | |||||

Objective | The main goal is to get a good understanding of some of the most prominent areas within discrete mathematics. | |||||

Examination Block 3 The courses of the examination block 3 will be offered in spring semester. |

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