# Suchergebnis: Katalogdaten im Herbstsemester 2020

Elektrotechnik und Informationstechnologie Bachelor | ||||||

5. Semester: Weitere Grundlagefächer des 3. Jahres Studierende absolvieren mindestens zwei der zur Auswahl stehenden Weiteren Grundlagefächer. Empfehlungen zur Fächerwahl sind vorhanden unter Link | ||||||

Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|---|

227-0014-20L | Computational Thinking | W | 4 KP | 2V + 1U | R. Wattenhofer | |

Kurzbeschreibung | We learn: algorithmic principles, dynamic and linear programming, complexity, electronic circuits, P vs. NP, Turing machines, reductions, cryptography, zero-knowledge proofs, data organization, dictionaries, hashing, databases, SQL, machine learning, regression, clustering, deep neural networks. We will use Python as a programming language. There will be paper and programming exercises every week. | |||||

Lernziel | Computation is everywhere, but what is computation actually? In this lecture we will discuss the power and limitations of computation. Computational thinking is about understanding machine intelligence: What is computable, and how efficiently? Understanding computation lies at the heart of many exciting scientific, social and even philosophical developments. Computational thinking is more than programming a computer, it means thinking in abstractions. Consequently, computational thinking has become a fundamental skill for everyone, not just computer scientists. For example, functions which can easily be computed but not inverted are at the heart of understanding data security and privacy. Machine learning on the other hand has given us fascinating new tools to teach machines how to estimate functions. Thanks to clever heuristics, machines now appear to be capable of solving complex cognitive tasks. To give just one more example: How can we design the best electronic circuit for a given problem? In this class, we study various problems together with the fundamental theory of computation. The weekly lectures will be based on blackboard discussions and coding demos, supported by a script and coding examples. The course uses Python as a programming language. Python is popular and intuitive, a programming language that looks and feels a bit like human instructions. The lecture will feature weekly exercises, on paper and in Python. | |||||

227-0053-00L | High-Frequency Design Techniques | W | 4 KP | 2V + 2U | C. Bolognesi | |

Kurzbeschreibung | Introduction to the basics of high-frequency circuit design techniques used in the realization of high-bandwidth communication systems and devices. Modern society depends on increasingly large data masses that need to be transmitted/processed as rapidly as possible: higher carrier frequencies allow wider bandwidth channels which enable higher data transmission rates. | |||||

Lernziel | Familiarize students with the essential tools and principles exploited in high-frequency design. Introduction to circuit simulation. | |||||

Inhalt | Introduction to wireless, radio spectrum, review of vectors and complex numbers, AC circuit analysis, matching networks, distributed circuit design, transmission lines and transmission line equations, reflection coefficients, the Smith Chart and its software, voltage standing wave ratio (VSWR), skin effect, matrix analysis, scattering parameters, electromagnetic fields and waves, antenna basics. | |||||

Skript | Lecture notes | |||||

Literatur | Textbook: High Frequency Techniques, by Joseph F. White, 2004, Wiley-Interscience & IEEE Press ISBN 0-471-45591-1 (free online access via ETH-Bibliothek) | |||||

227-0122-00L | Introduction to Electric Power Transmission: System & TechnologyStudents that complete the course from HS 2020 onwards obtain 4 credits. | W | 4 KP | 2V + 2U | C. Franck, G. Hug | |

Kurzbeschreibung | Introduction to theory and technology of electric power transmission systems. | |||||

Lernziel | At the end of this course, the student will be able to: describe the structure of electric power systems, name the most important components and describe what they are needed for, apply models for transformers and overhead power lines, explain the technology of transformers and lines, calculate stationary power flows and other basic parameters in simple power systems. | |||||

Inhalt | Structure of electric power systems, transformer and power line models, analysis of and power flow calculation in basic systems, technology and principle of electric power systems. | |||||

Skript | Lecture script in English, exercises and sample solutions. |

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