Suchergebnis: Katalogdaten im Herbstsemester 2021

GESS Wissenschaft im Kontext (Science in Perspective) Information
Nur die in diesem Abschnitt aufgelisteten Fächer können als "GESS Wissenschaft im Kontext" angerechnet werden.
Weiter unten finden Sie die Kurse im Bereich "Typ B. Reflexion über fachspezifische Methoden und Inhalte" sowie den Bereich "Sprachkurse"

Im Bachelorstudium sind 6 KP und im Masterstudium 2 KP zu erwerben.

Studierende, die eine Lerneinheit bereits im Rahmen ihres Fachstudiums abgelegt haben, dürfen dieselbe Veranstaltung NICHT nochmals belegen!
Typ B: Reflexion über fachspezifische Methoden und Inhalte
Fachspezifische Lerneinheiten. Empfohlen für Studierende ab der Basisprüfung im Bachelor- oder für Studierende im Master- oder Promotionsstudium.

Studierende, die eine Lerneinheit bereits im Rahmen ihres Fachstudiums abgelegt haben, dürfen dieselbe Veranstaltung NICHT nochmals belegen!

Diese Lerneinheiten sind alle auch unter "Typ A" aufgelistet, d.h. sie sind grundsätzlich für alle Studierenden belegbar.
D-MATH
NummerTitelTypECTSUmfangDozierende
851-0742-00LContract Design I Belegung eingeschränkt - Details anzeigen
This course is taught by Professor Alexander Stremitzer (Link). Note that this is NOT a legal drafting class that focuses on contractual language. Instead, in Contact Design I, you will learn what the content of a contract should be so that parties can reach their goals.

You can find all course materials and the most recent announcements on Moodle. Please log in to Moodle using your ETH or UZH credentials. Then search for "Contract Design I (851-0742-00L; Fall 2021)" and enroll. The password is "ContractDesign01".

Number of participants limited to 160.
Max 80 ETHZ and 80 UZH Students
W3 KP2VA. Stremitzer
KurzbeschreibungContract Design I aims to bridge the gap between economic contract theory, contract law, and the writing of real-world contracts. In this course, we take a systematic approach to contract design. This means we first analyze the economic environment in which a transaction takes place, and then engineer contracts that achieve the desired outcome.
LernzielContracts are agreements between parties to engage in transactions. A good contract creates value by giving parties the right incentives to meet their objectives. A good contract designer scrutinizes the economic situation in which parties find themselves and tailors the contract to the challenges at hand. To help you become sophisticated contract designers, we draw from insights, for which more than half a dozen Nobel Prizes were awarded in the past two decades, and transfer them to the art of writing real-world contracts. In other words, Contract Design I will provide you with analytical tools related to contracting that are invaluable to successful lawyers, business leaders, and startup founders.

In Contract Design I, you will be asked to watch a series of videos (10-15 minutes each) that we produced for this course. These video episodes introduce you to key concepts of economic, behavioral, and experimental contract theory. We will cover topics such as moral hazard, adverse selection, elicitation mechanisms, relationship-specific investments, and relational contracting. You can find the welcome video at this link (Link). However, this course prioritizes applications of contract design. Therefore, we will use class time to discuss a selection of exciting real-world case studies, ranging from purchases & sales of assets, oil & gas exploration, movie production & distribution, construction & development, M&A deals, to executive compensation and many other types of transactions.

ETH students: Your final grade will consist of two components: 1) You are required to take weekly computer-based quizzes during class time. Thus, it is imperative that you attend the lectures to be able to finish the quizzes and pass this course. Moreover, we regularly post questions regarding the case studies that we examine in class. 2) You have to compose short responses to these questions and upload them. Note that UZH students enrolling in this course earn more ECTS on completing this course than ETH students. This is because UZH students must hand in an extensive group project in addition to the weekly quizzes and short responses.
SkriptHandouts, prerecorded videos, slides, and other materials
Voraussetzungen / BesonderesContract Design I is available to ETH students through the Science in Perspective (SiP) Program of D-GESS. This course is particularly suitable for students of D-ARCH, D-BAUG, D-CHAB, DMATH, D-MTEC, D-INFK, and D-MAVT. If you have any questions on Contract Design I, please send an e-mail to Professor Stremitzer’s Teaching Assistant Diego Caldera (Link).
851-0252-15LNetwork Analysis
Particularly suitable for students of D-INFK, D-MATH
W3 KP2VU. Brandes
KurzbeschreibungNetwork science is a distinct domain of data science that is characterized by a specific kind of data being studied.
While areas of application range from archaeology to zoology, we concern ourselves with social networks for the most part.
Emphasis is placed on descriptive and analytic approaches rather than theorizing, modeling, or data collection.
LernzielStudents will be able to identify and categorize research problems
that call for network approaches while appreciating differences across application domains and contexts.
They will master a suite of mathematical and computational tools,
and know how to design or adapt suitable methods for analysis.
In particular, they will be able to evaluate such methods in terms of appropriateness and efficiency.
InhaltThe following topics will be covered with an emphasis on structural and computational approaches and frequent reference to their suitability with respect to substantive theory:

* Empirical Research and Network Data
* Macro and Micro Structure
* Centrality
* Roles
* Cohesion
SkriptLecture notes are distributed via the associated course moodle.
Literatur* Hennig, Brandes, Pfeffer & Mergel (2012). Studying Social Networks. Campus-Verlag.
* Borgatti, Everett & Johnson (2013). Analyzing Social Networks. Sage.
* Robins (2015). Doing Social Network Research. Sage.
* Brandes & Erlebach (2005). Network Analysis. Springer LNCS 3418.
* Wasserman & Faust (1994). Social Network Analysis. Cambridge University Press.
* Kadushin (2012). Understanding Social Networks. Oxford University Press.
853-0061-00LEinführung in die CybersicherheitspolitikW3 KP2GM. Dunn Cavelty, F. J. Egloff
KurzbeschreibungDie Vorlesung gibt eine Einführung in die globale Politik der Cyber-Sicherheit. Im Zentrum steht die Auseinandersetzung mit der strategischen Nutzung des Cyberraums durch staatliche und nichtstaatliche Akteure (Bedrohungen) und unterschiedliche Antworten auf diese neuen Herausforderungen (Gegenmassnahmen).
LernzielDie Teilnehmer/innen lernen Vor- und Nachteile des Cyberspace als Domäne für strategisch-militärische Aktionen einzuschätzen. Sie verstehen die technischen Grundlagen von Cyberoperationen und wissen, wie Technik und Politik in diesem Bereich miteinander verzahnt sind. Sie verstehen die Gefahrenlage und die Beweggründe von Staaten, im Cyberspace offensiv und defensiv tätig zu werden ebenso gut wie die Konsequenzen für die internationale Politik.
InhaltWir beginnen mit einer Übersicht über die Cybersicherheitspolitik von 1980 bis heute und schauen uns an, welche Ereignisse und Akteure zentral für die Entwicklung des Themas zu einem sicherheitspolitischen Dauerbrenner waren. Nachdem wir uns mit den technischen Grundlagen vertraut gemacht haben, schauen wir verschiedene Gewaltphänomene und Trends in Cyberkonflikten an (Technik im sozialen und politischen Gebrauch). Danach wenden wir uns den Abwehrstrategien zu: Nationale Cybersicherheitsstrategien werden verglichen, internationale Normen untersucht und Konzepte wie Cybermacht und Cyberabschreckung kritisch hinterfragt (Technik im sozialen und poltischen Regulierungskontext).
SkriptZu Beginn des Semesters wird ein Skript abgegeben, welches die Literatur kommentiert und die wichtigsten Themen zusammenfasst.
LiteraturLiteratur für jede Sitzung wird auf Moodle zur Verfügung gestellt.
Voraussetzungen / BesonderesDie Vorlesung wird durch eine Moodle-Plattform unterstützt.
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengeprüft
Methodenspezifische KompetenzenAnalytische Kompetenzengeprüft
Entscheidungsfindunggefördert
Medien und digitale Technologiengefördert
Problemlösunggeprüft
Soziale KompetenzenKommunikationgefördert
Kooperation und Teamarbeitgefördert
Sensibilität für Vielfalt gefördert
Persönliche KompetenzenKreatives Denkengeprüft
Kritisches Denkengeprüft
Selbststeuerung und Selbstmanagement gefördert
853-8002-00LDie Rolle von Technologie in nationaler und internationaler SicherheitspolitikW3 KP2GM. Haas, A. Dossi, M. Leese, O. Thränert
KurzbeschreibungDie Vorlesung gibt eine Einführung in die Rolle von Sicherheits- und Militärtechnologien in der Formulierung und Umsetzung nationaler und internationaler Sicherheitspolitiken. Im Zentrum stehen Herausforderungen durch neue und sich in der Entwicklung befindliche Technologien, der Wandel militärischer Kapazitäten, und die Frage der Regulation.
LernzielDie Teilnehmer/innen bekommen einen vertieften Überblick über die vielfältigen Bereiche, in denen Technologie Teil von Sicherheitspolitik und Sicherheitspraktiken wird, sowohl in zivilen als auch in militärischen Kontexten.
InhaltDer erste Teil befasst sich mit den vielgestaltigen und komplexen Beziehungen zwischen Konzepten nationaler und internationaler Sicherheit, der Förderung von Forschung und Entwicklung, ökonomischen Aspekten von Technologie, und Aussenpolitik und Diplomatie. Der zweite Teil behandelt die Auswirkungen von neuen Technologien auf militärische Kapazitäten, strategische Optionen, und Militärdoktrinen in Krieg und Frieden. Der dritte Teil konzentriert sich auf regulatorische Herausforderungen, die aus der Implementierung und der globalen Weiterverbreitung von Technologie resultieren. Der letzte Teil schliesslich beschäftigt sich mit den Herausforderungen für den Staat im Umgang mit neuen und noch in der Entwicklung befindlicher Technologien, vorrangig in den sensiblen Bereich der Rüstungsbeschaffung und des nachrichtendienstlichen Einsatzes.
LiteraturLiteratur für die einzelnen Sitzungen wird auf Moodle bereitgestellt.
Voraussetzungen / BesonderesDie Vorlesung wird durch eine Moodle-Plattform unterstützt.
Bei Fragen zur Lehrveranstaltung wenden Sie sich bitte an Oliver Roos, Link.
851-0650-00LAI4Good Belegung eingeschränkt - Details anzeigen W3 KP2GJ. D. Wegner
KurzbeschreibungThe AI4Good course is a hackathon turned into a full course. At the beginning, stakeholders active in the development sector will describe several problems that could be solved with a machine learning approach. Students will spend the semester on designing, implementing, and testing suitable solutions using machine learning. Progress will be discussed with all course members.
LernzielGiven a specific problem in global development, students shall learn to self-responsibly design, implement and experimentally evaluate a suitable solution. Students will also learn to critically evaluate their ideas and solutions together with all course members in a broader context that go beyond mere technical solutions, but touch on ethics, local culture etc., too.
InhaltThe AI4Good course is a hackathon turned into a full course. At the beginning of the course, stakeholders (e.g., NGOs) active in the development sector will describe several problems that could be solved with a machine learning approach. Organizers of the course will make sure that only those problems are selected that are suitable for a machine learning approach and where sufficient amounts of data (and labels) are available. Students will organize themselves into small groups of 3-5 students, where each group works on solving a specific problem. Students will spend the semester on designing, implementing, and testing suitable solutions using machine learning. Every two weeks, each group will present ideas and progress during a short presentation followed by a discussion with all course members. At the end of the course, students will present their final results and submit source code. In addition, they will describe the developed method in form of a scientific paper of 8 pages. Grading will depend on the source code, the paper, and active participation in class.

Note: The course AI4Good is not related to Hack4Good, which is a students' initiative organized by the Analytics Club at ETH. For more information about Hack4Good check out the website: Link.
Voraussetzungen / BesonderesStudents with a strong background in machine learning and excellent programming skills (preferably in Python)
851-0175-00LImages of the HumanW3 KP2GJ. L. Gastaldi
KurzbeschreibungThis seminar will explore the multiple transformations of the conception of the “human” in the face of the current scientific, social and technological challenges, focusing on those related to recent digital technologies and practices. The lectures will be delivered by researchers from ETH and abroad, with different disciplinary backgrounds in the humanities and the social sciences.
LernzielBy the end of the course, students will be able to describe and compare different conceptions of the human at work in multiple fields of the humanities and the social sciences. They will be able to evaluate both the differences and the convergences between those conceptions, and critically assess their relation to current trends in science, technology and society, particularly in the context of new digital practices.
InhaltThe remarkable development of AI in the past decade has brought about a renewed urge to rethink our image of the "human". In this way, computer science and technology join other scientific disciplines having experienced the same need in the face of current challenges, such as climate change or the global pandemic, which question the place of the human in its environment. Such circumstances reveal that a science of the human is today more necessary than ever. For this reason, the Turing Centre's lecture series of this year will be dedicated to exploring the multiple images of the human at work across the human sciences and their transformation as a consequence of the current global challenges. In line with the Turing Centre's activities, the focus will be on challenges related to recent digital technologies and practices. Various researchers from ETH and abroad, with different disciplinary backgrounds in the humanities and the social sciences, will present what they consider crucial concepts, methods, challenges, and limits in our investigations about the human and its relation to machines, animals and nature.
851-0742-01LContract Design II Belegung eingeschränkt - Details anzeigen
This course is taught by Professor Alexander Stremitzer (Link). To be considered for Contract Design II, you must have completed Contract Design I in the same semester. Students can only register for Contract Design II after having obtained approval by Prof. Stremitzer.
W1 KP1UA. Stremitzer
KurzbeschreibungContract Design II is a masterclass in the form of an interactive clinic that allows you to deepen your understanding of contracting by applying insights from Contract Design I to a comprehensive case study. Together with your classmates, you are going to advise a (hypothetical) client organization planning to enter a complex transaction on how to structure the underlying contract.
LernzielThere is a possibility that representatives from companies that were previously engaged in similar deals will visit us in class and tell you about their experience firsthand. In Contract Design I, you will receive more detailed information on the content and learning objectives of Contract Design II. If you have urgent questions, please do not hesitate to send an e-mail to Professor Stremitzer’s Teaching Assistant Diego Caldera (Link).
Voraussetzungen / BesonderesTo enable you to work under the close supervision of your professor and his team, only a small group of students with backgrounds in law, business, or engineering is admitted to this course. This simulation is time-consuming and challenging. Hence, we can only admit the most successful and motivated students to this class. Further information on the application process will follow.
851-0125-65LA Sampler of Histories and Philosophies of Mathematics Belegung eingeschränkt - Details anzeigen
Besonders geeignet für Studierende D-CHAB, D-INFK, D-ITET, D-MATH, D-PHYS
W3 KP2VR. Wagner
KurzbeschreibungThis course will review several case studies from the ancient, medieval and modern history of mathematics. The case studies will be analyzed from various philosophical perspectives, while situating them in their historical and cultural contexts.
LernzielThe course aims are:
1. To introduce students to the historicity of mathematics
2. To make sense of mathematical practices that appear unreasonable from a contemporary point of view
3. To develop critical reflection concerning the nature of mathematical objects
4. To introduce various theoretical approaches to the philosophy and history of mathematics
5. To open the students' horizons to the plurality of mathematical cultures and practices
851-0197-00LMedieval and Early Modern Science and PhilosophyW3 KP2VE. Sammarchi
KurzbeschreibungThe course analyses the evolution of the relation between science and philosophy during the Middle Age and the Early Modern Period.
LernzielThe course aims are:
- to introduce students to the philosophical dimension of science;
- to develop a critical understanding of scientific notions;
- to acquire skills in order to read and comment on scientific texts written in the past ages.
InhaltThe course is focused on the investigation of scientific thought between 1000 and 1700, that is to say the period that saw the flourishing of natural philosophy and the birth of the modern scientific method. Several case-studies, taken from different scientific fields (especially algebra, astronomy, and physics) are presented in class in order to examine the relation between science and philosophy and the shift from medieval times to the early modern world.
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