Suchergebnis: Katalogdaten im Frühjahrssemester 2019

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-ITET
NummerTitelTypECTSUmfangDozierende
851-0585-38LData Science in Techno-Socio-Economic Systems Belegung eingeschränkt - Details anzeigen
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
W3 KP2VE. Pournaras, T. Guo, D. Helbing
KurzbeschreibungThis 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.
LernzielThe 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
227-0664-00LTechnology and Policy of Electrical Energy Storage Information W3 KP2GV. Wood, T. Schmidt
KurzbeschreibungWith the global emphasis on decreasing CO2 emissions, achieving fossil fuel independence and growing the use of renewables, developing & implementing energy storage solutions for electric mobility & grid stabilization represent a key technology & policy challenge. This course uses lithium ion batteries as a case study to understand the interplay between technology, economics, and policy.
LernzielThe students will learn of the complexity involved in battery research, design, production, as well as in investment, economics and policy making around batteries. Students from technical disciplines will gain insights into policy, while students from social science backgrounds will gain insights into technology.
InhaltWith the global emphasis on decreasing CO2 emissions, achieving fossil fuel independence, and integrating renewables on the electric grid, developing and implementing energy storage solutions for electric mobility and grid stabilization represent a key technology and policy challenge. The class will focus on lithium ion batteries since they are poised to enter a variety of markets where policy decisions will affect their production, adoption, and usage scenarios. The course considers the interplay between technology, economics, and policy.

* intro to energy storage for electric mobility and grid-stabilization
* basics of battery operation, manufacturing, and integration
* intro to the role of policy for energy storage innovation & diffusion
* discussion of complexities involved in policy and politics of energy storage
SkriptMaterials will be made available on the website.
LiteraturMaterials will be made available on the website.
Voraussetzungen / BesonderesStrong interest in energy and technology policy.
851-0740-00LBig Data, Law, and Policy Belegung eingeschränkt - Details anzeigen
Number of participants limited to 35

Students will be informed by 3.3.2019 at the latest.
W3 KP2SS. Bechtold, T. Roscoe, E. Vayena
KurzbeschreibungThis 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.
LernzielThis 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.
851-0252-01LHuman-Computer Interaction: Cognition and Usability Belegung eingeschränkt - Details anzeigen
Maximale Teilnehmerzahl: 40

Besonders geeignet für Studierende D-ITET
W3 KP2SC. Hölscher, I. Barisic, H. Zhao
KurzbeschreibungThis seminar introduces theory and methods in human-computer interaction and usability. Cognitive Science provides a theoretical framework for designing user interfaces as well as a range of methods for assessing usability (user testing, cognitive walkthrough, GOMS). The seminar will provide an opportunity to experience some of the methods in applied group projects.
LernzielThis seminar will introduce key topics, theories and methodology in human-computer interaction (HCI) and usability. Presentations will cover the basics of human-computer interaction and selected topics like mobile interaction, adaptive systems, human error and attention. A focus of the seminar will be on getting to know evaluation techniques in HCI. Students will work in groups and will first familiarize themselves with a select usability evaluation method (e.g. user testing, GOMS, task analysis, heuristic evaluation, questionnaires or Cognitive Walkthrough). They will then apply the methods to a human-computer interaction setting (e.g. an existing software or hardware interface) and present the method as well as their procedure and results to the plenary. Active participation is vital for the success of the seminar, and students are expected to contribute to presentations of foundational themes, methods and results of their chosen group project. In order to obtain course credit a written essay / report will be required (details to be specified in the introductory session of the course).
851-0732-03LIntellectual Property: An Introduction Information Belegung eingeschränkt - Details anzeigen
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.
W2 KP2VS. Bechtold, M. Schonger
KurzbeschreibungThe 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.
LernzielIntellectual 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.
851-0727-01LTelekommunikationsrecht
Besonders geeignet für Studierende D-INFK, D-ITET
W2 KP2VC. von Zedtwitz
KurzbeschreibungEinführung 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).
LernzielLernziel 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.
Inhalt1. 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)
SkriptEs 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.
LiteraturKeine Pflichtliteratur vorgesehen.
Voraussetzungen / BesonderesDie 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.
851-0734-00LRecht der Informationssicherheit
Besonders geeignet für Studierende D-INFK, D-ITET
W2 KP2VU. Widmer
KurzbeschreibungEinführung 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.
LernzielLernziel 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.
InhaltEs 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.
SkriptPowerpoint-Slides, welche entweder zu Vorlesungsbeginn jeweils abrufbar sind oder in der Vorlesung in Papierform abgegeben werden.
LiteraturAuf weiterführende Literatur wird jeweils in der Vorlesung hingewiesen werden.
851-0609-04LThe Energy Challenge - The Role of Technology, Business and Society Information
Voraussetzung: Grundkenntnisse in Volkswirtschaftslehre.
W2 KP2VR. Schubert, T. Schmidt, J. Schmitz, B. Steffen
KurzbeschreibungIn recent years, energy security, risks, access and availability are important issues. Strongly redirecting and accelerating technological change on a sustainable low-carbon path is essential. The transformation of current energy systems into sustainable ones is not only a question of technology but also of the goals and influences of important actors like business, politics and society.
LernzielIn this course different options of sustainable energy systems like fossile energies, nuclear energy or all sorts of renewable energies are explained and discussed. The students should be able to understand and identify advantages and disadvantages of the different technological options and discuss their relevance in the business as well as in the societal context.
SkriptMaterials will be made available on the electronic learning platform: Link
LiteraturMaterials will be made available on the electronic learning platform: Link
Voraussetzungen / BesonderesVarious lectures from different disciplines.
851-0591-01LBETH - Blockchain for Sustainability Belegung eingeschränkt - Details anzeigen
Number of participants limited to 200

Particularly suitable for students of D-INFK, D-MTEC, D-ITET, D-MAVT,D-PHYS
W3 KP4GM. M. Dapp, D. Helbing, S. Klauser
KurzbeschreibungBlockchain 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.
LernzielThe 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!
860-0022-00LComplexity and Global Systems Science Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 64.

Prerequisites: solid mathematical skills.

Particularly suitable for students of D-ITET, D-MAVT and ISTP
W3 KP2VD. Helbing, N. Antulov-Fantulin
KurzbeschreibungThis course discusses complex techno-socio-economic systems, their counter-intuitive behaviors, and how their theoretical understanding empowers us to solve some long-standing problems that are currently bothering the world.
LernzielParticipants should learn to get an overview of the state of the art in the field, to present it in a well understandable way to an interdisciplinary scientific audience, to develop models for open problems, to analyze them, and to defend their results in response to critical questions. In essence, participants should improve their scientific skills and learn to think scientifically about complex dynamical systems.
InhaltThis course starts with a discussion of the typical and often counter-intuitive features of complex dynamical systems such as self-organization, emergence, (sudden) phase transitions at "tipping points", multi-stability, systemic instability, deterministic chaos, and turbulence. It then discusses phenomena in networked systems such as feedback, side and cascade effects, and the problem of radical uncertainty. The course progresses by demonstrating the relevance of these properties for understanding societal and, at times, global-scale problems such as traffic jams, crowd disasters, breakdowns of cooperation, crime, conflict, social unrests, political revolutions, bubbles and crashes in financial markets, epidemic spreading, and/or "tragedies of the commons" such as environmental exploitation, overfishing, or climate change. Based on this understanding, the course points to possible ways of mitigating techno-socio-economic-environmental problems, and what data science may contribute to their solution.
Voraussetzungen / BesonderesMathematical skills can be helpful
851-0739-01LBuilding a Robot Judge: Data Science For the Law
Particularly suitable for students of D-INFK, D-ITET, D-MTEC
W3 KP2VE. Ash
KurzbeschreibungThis course explores the automation of decisions in the legal system. We delve into the tools from natural language processing and machine learning needed to predict judge decision-making and ask whether it is possible -- or even desirable -- to build a robot judge.
LernzielIs a concept of justice what truly separates man from machine? Recent advances in data science have caused many people to reconsider their responses to this question. With expanding digitization of legal data and corpora, alongside rapid developments in natural language processing and machine learning, the prospect arises for automating legal decisions.

Data science technologies have the potential to improve legal decisions by making them more efficient and consistent. The benefits to society from this automation could be significant. On the other hand, there are serious risks that automated systems could replicate or amplify existing legal biases and rigidities.

This course introduces students to the data science tools that are unlocking legal materials for computational and scientific analysis. We begin with the problem of representing laws as data, with a review of techniques for featurizing texts, extracting legal information, and representing documents as vectors. We explore methods for measuring document similarity and clustering documents based on legal topics or other features. Visualization methods include word clouds and t-SNE plots for spatial relations between documents.

We next consider legal prediction problems. Given the evidence and briefs in this case, how will a judge probably decide? How likely is a criminal defendant to commit another crime? How much additional revenue will this new tax law collect? Students will investigate and implement the relevant machine learning tools for making these types of predictions, including regression, classification, and deep neural networks models.

We then use these predictions to better understand the operation of the legal system. Under what conditions do judges tend to make errors? Against which types of defendants do parole boards exhibit bias? Which jurisdictions have the most tax loopholes? In a semester project, student groups will conceive and implement a research design for examining this type of empirical research question.

Some programming experience in Python is required, and some experience with text mining is highly recommended.
851-0158-15LDer Mensch zwischen Mängelwesen und Cyborg. Trans- und posthumanistische Visionen
Besonders geeignet für Studierende D-HEST, D-INFK, D-ITET
Maximale Teilnehmerzahl: 50
W3 KP2SK. Liggieri
KurzbeschreibungIn unserem Alltag sind wir von automatisierten, selbstregulierten Maschinen umgeben (Smartphone, Prothesen, etc.), diese Techniken gehören zu unserem Leben und ohne sie ist eine menschliche Existenz nicht mehr denkbar. Der Mensch braucht also die Technik für sein Leben und Überleben. Wie aber verändert sich der Mensch durch diese Technik? Wie und mit welchen Techniken optimiert er sich?
LernzielAbseits der wichtigen Möglichkeiten der biomedizinischen Heilung, muss sich im Seminar die Frage gestellt werden, wie sich unser Blick auf „Mensch" und „Maschine" verändert. Wie veränderten sich der Mensch und die Technik gegenseitig in der modernen Optimierung, in der der Mensch mit der Maschine in sich selbst eingreift? Was passiert, wenn Mensch und Technik verschmelzen und neue Körper (Cyborgs, etc.) schaffen? Es soll im Seminar um eine Einschätzung unserer modernen Vorstellung von Mensch und Maschine gehen, die durch trans- und posthumanistische Visionen im Wandel begriffen ist. Hierfür soll auf historische und gegenwärtige Debatten der Optimierung eingegangen werden.
851-0739-02LBuilding a Robot Judge: Data Science for the Law (Course Project)
This is the optional course project for "Building a Robot Judge: Data Science for the Law."

Please register only if attending the lecture course or with consent of the instructor.

Some programming experience in Python is required, and some experience with text mining is highly recommended.
W2 KP2VE. Ash
KurzbeschreibungStudents investigate and implement the relevant machine learning tools for making legal predictions, including regression, classification, and deep neural networks models.
Lernziel
InhaltStudents will investigate and implement the relevant machine learning tools for making legal predictions, including regression, classification, and deep neural networks models.
We will use these predictions to better understand the operation of the legal system. In a semester project, student groups will conceive and implement a research design for examining this type of empirical research question.
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