Suchergebnis: Katalogdaten im Frühjahrssemester 2018

Nummer	Titel	Typ	ECTS	Umfang	Dozierende
GESS Wissenschaft im Kontext (Science in Perspective) 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-INFK
851-0585-38L	Data Science in Techno-Socio-Economic Systems Number of participants limited to 80 This course is thought be for students in the 5th semester or above with quantitative skills and interests in modeling and computer simulations. Particularly suitable for students of D-INFK, D-ITET, D-MAVT, D-MTEC, D-PHYS	W	3 KP	2V	E. Pournaras, T. Guo, D. Helbing
Kurzbeschreibung	This course introduces how techno-socio-economic systems in our nowadays digital society can be better understood with techniques and tools of data science. Students shall learn the fundamentals of data science, machine learning, but also advanced distributed real-time data analytics in the Planetary Nervous System. Students shall deliver and present a seminar thesis at the end of the course.
Lernziel	The goal of this course is to qualify students with knowledge on data science as a way to understand complex techno-socio-economic systems in our nowadays digital societies. This course aims to make students capable of applying the most appropriate and effective techniques of data science under different application scenarios. The course aims to engage students in exciting state-of-the-art scientific and collaboration platforms such as the Planetary Nervous System. The course shall increase the awareness level of students about the challenges and open issues of data science in socio-technical domains such as privacy. Finally students have the opportunity to develop their writing, presentation and collaboration skills based on a seminar thesis they have to deliver and present at the end of the course
851-0740-00L	Big Data, Law, and Policy Number of participants limited to 35 Students will be informed by 4.3.2018 at the latest	W	3 KP	2S	S. Bechtold, T. Roscoe, E. Vayena
Kurzbeschreibung	This course introduces students to societal perspectives on the big data revolution. Discussing important contributions from machine learning and data science, the course explores their legal, economic, ethical, and political implications in the past, present, and future.
Lernziel	This course is intended both for students of machine learning and data science who want to reflect on the societal implications of their field, and for students from other disciplines who want to explore the societal impact of data sciences. The course will first discuss some of the methodological foundations of machine learning, followed by a discussion of research papers and real-world applications where big data and societal values may clash. Potential topics include the implications of big data for privacy, liability, insurance, health systems, voting, and democratic institutions, as well as the use of predictive algorithms for price discrimination and the criminal justice system. Guest speakers, weekly readings and reaction papers ensure a lively debate among participants from various backgrounds.
851-0732-03L	Intellectual Property: An Introduction Number of participants limited to 150 Particularly suitable for students of D-ARCH, D-BIOL, D-CHAB, D-INFK, D-ITET, D-MAVT, D- MATL, D-MTEC.	W	2 KP	2V	S. Bechtold, M. Schonger
Kurzbeschreibung	The course introduces students to the basics of the intellectual property system and of innovation policy. Areas covered include patent, copyright, trademark, design, know-how protection, open source, and technology transfer. The course looks at Swiss, European, U.S. and international law and uses examples from a broad range of technologies. Insights can be used in academia, industry or start-ups.
Lernziel	Intellectual property issues become more and more important in our society. In order to prepare students for their future challenges in research, industry or start-ups, this course introduces them to the foundations of the intellectual property system. The course covers patent, copyright, trademark, design, know-how protection, open source, and technology transfer law. It explains links to contract, antitrust, Internet, privacy and communications law where appropriate. While the introduction to these areas of the law is designed at a general level, examples and case studies come from various jurisdictions, including Switzerland, the European Union, the United States, and international law. In addition, the course introduces students to the fundamentals of innovation policy. After exposing students to the economics of intellectual property protection, the course asks questions such as: Why do states grant property rights in inventions? Has the protection of intellectual property gone too far? How do advances in biotechnology and the Internet affect the intellectual property system? What is the relationship between open source, open access and intellectual property? What alternatives to intellectual property protection exist? Knowing how the intellectual property system works and what kind of protection is available is useful for all students who are interested in working in academia, industry or in starting their own company. Exposing students to the advantages and disadvantages of the intellectual property system enables them to participate in the current policy discussions on intellectual property, innovation and technology law. The course will include practical examples and case studies as well as guest speakers from industry and private practice.
851-0727-01L	Telekommunikationsrecht Besonders geeignet für Studierende D-INFK, D-ITET	W	2 KP	2V	C. von Zedtwitz
Kurzbeschreibung	Einführung in die Grundzüge des Telekommunikationsrechts für Nicht-Juristen. Die Vorlesung Telekommunikationsrecht befasst sich mit den rechtlichen Grundlagen und Prinzipien der Bereitstellung und des Betriebs von Telekommunikationsnetzen (Festnetz- und Mobilfunkbereich).
Lernziel	Lernziel ist die Kenntnis und das Verständnis der wichtigsten rechtlichen Konzepte des Schweizer Rechts am Beispiel des Telekommunikationsrechts (rechtlicher Rahmen des Einsatzes und der Kommerzialisierung von Informations- und Telekommunikationstechnologie). Die Veranstaltung erfordert keine juristischen Vorkenntnisse.
Inhalt	1. Geschichte des Telekommunikationsrechts (vom Monopol zum Wettbewerb) 2. Netzzugangsregelungen (essential facility doctrine, Zugangsformen) 3. Grundversorgung/Service Public (wieviel Staat braucht der Markt) 4. Telefonabonnementsverträge (Festnetz und Mobilfunk) 5. Mobilfunkstrahlung (NISV) 6. Überwachung des Fernmeldeverkehrs (öffentliche vs. private Interessen) 7. SPAM-Verhinderung (Pflichten der Netzbetreiber)
Skript	Es wird mit Powerpoint-Slides gearbeitet, die über eine Website vorgängig abrufbar sein werden. Zusätzlich werden vor der Stunde Download-Links für die passenden Gesetzestexte und weitere Unterlagen auf der Website abgelegt.
Literatur	Keine Pflichtliteratur vorgesehen.
Voraussetzungen / Besonderes	Die Semesterendprüfung ist in Form eines schriftlichen Kurztests in der letzten oder vorletzten Stunde geplant. Es wird noch angegeben, welche Unterlagen beim jeweiligen Thema den Prüfungsstoff definieren.
851-0734-00L	Recht der Informationssicherheit Besonders geeignet für Studierende D-INFK, D-ITET	W	2 KP	2V	U. Widmer
Kurzbeschreibung	Einführung in das Recht der Informationssicherheit für Nicht-Juristen bzw. angehende Entscheidträger von Unternehmen und Behörden, welche sich mit Fragen der Informationssicherheit zu befassen haben (CIO, COO, CEOs). Die Vorlesung behandelt die rechtlichen Aspekte der Sicherheit von ICT-Infrastrukturen und Netzen (Internet) und der transportierten und verarbeiteten Informationen.
Lernziel	Lernziel ist das Erkennen der Bedeutung und der Ziele der Informationssicherheit und der rechtlichen Rahmenbedingungen, die Kenntnis des rechtlichen Instrumentariums für einen effizienten Schutz von Infrastrukturen und schützenswerten Rechtsgütern sowie die Analyse von allfälligen Regelungslücken und möglicher Massnahmen. Für den Besuch der Vorlesung braucht es keine juristischen Vorkenntnisse.
Inhalt	Es werden aktuelle branchenspezifische und sektorübergreifende Themen aus dem Spannungsfeld zwischen Technik und Recht aus den Bereichen Datenschutzrecht, Computerdelikte, gesetzliche Geheimhaltungspflichten, Fernmeldeüberwachung (Internet), elektronische Signatur, Haftungsrecht etc. behandelt.
Skript	Powerpoint-Slides, welche entweder zu Vorlesungsbeginn jeweils abrufbar sind oder in der Vorlesung in Papierform abgegeben werden.
Literatur	Auf weiterführende Literatur wird jeweils in der Vorlesung hingewiesen werden.
851-0125-65L	A Sampler of Histories and Philosophies of Mathematics Besonders geeignet für Studierende D-CHAB, D-INFK, D-ITET, D-MATH, D-PHYS	W	3 KP	2V	R. Wagner
Kurzbeschreibung	This course will review several case studies from the history of mathematics (Greek geometry, early modern European notions of infinity and 20th century constructive and axiomatic approaches). The case studies will be analyzed from various philosophical perspectives, while rooting them in their historical and cultural contexts.
Lernziel	The 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 realist, dialectical, practical and constructivist approaches to the philosophy and history of mathematics 5. To open the students' horizons to the plurality of mathematical cultures and practices
851-0125-74L	Wittgenstein´s Lectures on the Foundations of Mathematics Number of participants limited to 30 Particularly suitable for students of D-INFK, D-MATH	W	3 KP	2S	R. Wagner, M. Hampe
Kurzbeschreibung	The course gives an introduction into Wittgenstein´s philosophy of mathematics and its historical background. We will read and discuss his "Lectures on the Foundation of Mathematics". All students need a copy of this book.
Lernziel	Gaining an understanding of the fundamentals of Wittgenstein´s philosophy and his view of mathematics.
851-0588-00L	Introduction to Game Theory Number of participants limited to 400 Particularly suitable for students of D-INFK, D-MATH	W	3 KP	2V	H. Nax, D. Helbing, B. Pradelski
Kurzbeschreibung	This course introduces the foundations of game theory with a focus on its basic mathematical principles. It treats models of social interaction, conflict and cooperation, the origin of cooperation, and concepts of strategic decision making behavior. Examples, applications, theory, and the contrast between theory and empirical results are particularly emphasized.
Lernziel	Learn the fundamentals, models, and logic of thinking about game theory. Learn basic mathematical principles. Apply formal game theory models to strategic interaction situations and critically assess game theory's capabilities through a wide array of applications and experimental results.
Inhalt	Game theory provides a unified mathematical language to study interactions amongst different types of individuals (e.g. humans, firms, nations, animals, etc.). It is often used to analyze situations involving conflict and/or cooperation. The course introduces the basic concepts of both non-cooperative and cooperative game theory (players, strategies, coalitions, rules of games, utilities, etc.) and explains the most prominent game-theoretic solution concepts (Nash equilibrium, sub-game perfection, Core, Shapley Value, etc.). We will also discuss standard extensions (repeated games, incomplete information, evolutionary game theory, signal games, etc.). In each part of the course, we focus on examples and on selected applications of the theory in different areas. These include analyses of cooperation, social interaction, of institutions and norms, social dilemmas and reciprocity as well as applications on strategic behavior in politics and between countries and companies, the impact of reciprocity, in the labor market, and some applications from biology. Game theory is also applied to control-theoretic problems of transport planning and computer science. As we present theory and applications, we will also discuss how experimental and other empirical studies have shown that human behavior in the real world often does not meet the strict requirements of rationality from "standard theory", leading us to models of "behavioural" and "experimental" game theory. By the end of the course, students should be able to apply game-theoretic in diverse areas of analysis including > controlling turbines in a wind park, > nations negotiating international agreements, > firms competing in markets, > humans sharing a common resource, etc.
Skript	See literature below. In addition we will provide additional literature readings and publish the lecture slides directly after each lecture.
Literatur	K Binmore, Fun and games, a text on game theory, 1994, Great Source Education SR Chakravarty, M Mitra and P Sarkar, A Course on Cooperative Game Theory, 2015, Cambridge University Press A Diekmann, Spieltheorie: Einführung, Beispiele, Experimente, 2009, Rowolth MJ Osborne, An Introduction to Game Theory, 2004, Oxford University Press New York J Nash, Non-Cooperative Games, 1951, Annals of Mathematics JW Weibull, Evolutionary game theory, 1997, MIT Press HP Young, Strategic Learning and Its Limits, 2004, Oxford University Press
851-0591-01L	BIOTS - Blockchain And the Internet of Things Number of participants limited to 250 Particularly suitable for students of D-INFK, D-MTEC, D-ITET, D-MAVT,D-PHYS	W	3 KP	4G	M. M. Dapp, D. Helbing, S. Klauser
Kurzbeschreibung	Blockchain and Internet of Things technologies hold the promise to transform our societies and economies. While IoT devices allow us to measure all kinds of activity by humans and machines, the blockchain allows us to securely time-stamp and value this data and even give it a price to trade it on (new) markets. We explore this potential with a specific focus on sustainable development.
Lernziel	The course provides opportunities to gain fundamental understanding of promising new technologies as well as develop creative decentralized solutions for societal challenges using these technologies. Participants will learn the fundamentals of blockchain technology, its mechanisms, design parameters and potential for decentralized solutions. Those with software development skills will then further explore the blockchain to develop hands-on decentralized applications and smart contracts. Non-coding participants will further explore how these technologies could be used to design new economic systems. These new cryptoeconomic systems should give citizens multiple incentives to increase cooperation, health, recycling, or education and other positive externalities and to decrease emissions, waste, noise, or stress and other negative externalities. During the hackathon, participants will work in mixed teams on concrete challenges addressing some of the pressing global challenges our societies face, like climate change, financial instability, energy, or mass migration, etc. The aim is to develop decentralized approaches towards a sustainable, sharing circular economy using blockchain and IoT technologies. Teams will produce a short report (about 10 pages), demonstrate their hackathon prototype based on blockchain technology (Ethereum platform) and present to a interdisciplinary jury on the last day. Throughout the course, participants will hone their critical thinking abilities by leaving their own discipline and discussing best approaches to solve global complex challenges in an international, multi-disciplinary setting with invited subject matter experts and peers from all around the world. We encourage students with no programming experience, who are interested in the potential of blockchain and IoT to address global challenges, to apply as well!

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