Suchergebnis: Katalogdaten im Herbstsemester 2020

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
860-0023-00LInternational Environmental Politics
Besonders geeignet für Studierende D-ITET, D-USYS
W3 KP2VT. Bernauer
KurzbeschreibungThis course focuses on the conditions under which cooperation in international environmental politics emerges and the conditions under which such cooperation and the respective public policies are effective and/or efficient.
LernzielThe objectives of this course are to (1) gain an overview of relevant questions in the area of international environmental politics from a social sciences viewpoint; (2) learn how to identify interesting/innovative questions concerning this policy area and how to answer them in a methodologically sophisticated way; (3) gain an overview of important global and regional environmental problems and how they could be solved.
InhaltThis course deals with how and why international cooperation in environmental politics emerges, and under what circumstances such cooperation is effective and efficient. Based on theories of international political economy and theories of government regulation various examples of international environmental politics are discussed: the management of international water resources, political responses to global warming, the protection of the stratospheric ozone layer, the reduction of long-range transboundary air pollution in Europe, protection of biodiversity, how to deal with plastic waste, the prevention of pollution of the oceans, etc.

The course is open to all ETH students. Participation does not require previous coursework in the social sciences.

After passing an end-of-semester test (requirement: grade 4.0 or higher) students will receive 3 ECTS credit points. The workload is around 90 hours (meetings, reading assignments, preparation of test).

Visiting students (e.g., from the University of Zurich) are subject to the same conditions. Registration of visiting students in the web-based system of ETH is compulsory.

*** DUE TO COVID-RELATED ETH RESTRICTIONS, THIS COURSE WILL BE TOUGHT FULLY ONLINE VIA ZOOM. REGISTERED STUDENTS WILL RECEIVE THE ACCESS INFORMATION A FEW DAYS BEFORE THE COURSE BEGINS.
SkriptAssigned reading materials and slides will be available via Moodle. In view of COVID-19 related restrictions this course will take place fully online. For each unit of the course there will be three components:

1. A pre-recorded lecture by Prof. Bernauer, available via Moodle

2. Reading assignments, available via Moodle

3. Online meetings (via Zoom) at regular intervals (Mondays, 17:15 – 18:15) where we discuss your questions concerning the lecture and the reading assignments. The pre-recorded lectures will be available a few days ahead of the online meetings (ca. Thursday for the online meeting on the following Monday). You must watch the lecture and complete the reading assignment for the respective unit ahead of the online meeting on the following Monday. This online meeting will NOT be recorded in order to protect the privacy of the participating students and the professor and allow for open and frank discussion.

REGISTERED STUDENTS WILL RECEIVE THE ACCESS INFORMATION A FEW DAYS BEFORE THE COURSE BEGINS.
LiteraturIn view of COVID-19 related restrictions this course will take place fully online. For each unit of the course there will be three components:

1. A pre-recorded lecture by Prof. Bernauer, available via Moodle

2. Reading assignments, available via Moodle

3. Online meetings (via Zoom) at regular intervals (Mondays, 17:15 – 18:15) where we discuss your questions concerning the lecture and the reading assignments. The pre-recorded lectures will be available a few days ahead of the online meetings (ca. Thursday for the online meeting on the following Monday). You must watch the lecture and complete the reading assignment for the respective unit ahead of the online meeting on the following Monday. This online meeting will NOT be recorded in order to protect the privacy of the participating students and the professor and allow for open and frank discussion.
Voraussetzungen / BesonderesNone

In view of COVID-19 related restrictions this course will take place fully online. For each unit of the course there will be three components:

1. A pre-recorded lecture by Prof. Bernauer, available via Moodle

2. Reading assignments, available via Moodle

3. Online meetings (via Zoom) at regular intervals (Mondays, 17:15 – 18:15) where we discuss your questions concerning the lecture and the reading assignments. The pre-recorded lectures will be available a few days ahead of the online meetings (ca. Thursday for the online meeting on the following Monday). You must watch the lecture and complete the reading assignment for the respective unit ahead of the online meeting on the following Monday. This online meeting will NOT be recorded in order to protect the privacy of the participating students and the professor and allow for open and frank discussion.
851-0727-02LE-Business-Recht
Besonders geeignet für Studierende D-INFK, D-ITET
W2 KP2VD. Rosenthal
KurzbeschreibungDie Vorlesung befasst sich mit rechtlichen Rahmenbedingungen im elektronischen Geschäftsverkehr und der Informationstechnologie. Es werden diverse juristische Grundregeln und Konzepte erörtert, die in der Praxis zu beachten sind, sei es bei der Konzipierung von New-Media-Geschäftsmodellen, sei es in der Durchführung von Online-Aktivitäten und dem Einsatz von Informationstechnologien.
LernzielLernziel ist die Kenntnis und das Verständnis wichtiger rechtlicher Konzepte im Bereich des E-Business, so insbesondere das Verständnis wie E-Business durch das Recht national und international überhaupt erfasst wird, wie Verträge auf elektronischem Wege geschlossen und abgewickelt werden können, welche Regeln insbesondere im Internet beim Umgang mit fremden und eigenen Inhalten und Kundendaten zu beachten sind, wer im E-Business wofür haften muss und welche Rolle das Recht beim praktischen Aufbau und Betrieb von E-Business-Anwendungen spielt.
InhaltVorgesehene Strukturierung der Vorlesung:

1) Welches Recht gilt im E-Business?
–Internationalität des Internets
–Regulierte Branchen

2) Gestaltung und Vermarktung von E-Business-Angeboten
Verwendung fremder und Schutz der eigenen Inhalte
–Haftung im E-Business (und wie sie beschränkt werden kann)
–Domain-Namen

3) Beziehung zu E-Business-Kunden
–Verträge im E-Business, Konsumentenschutz
–Elektronische Signaturen
–Datenschutz
Spam

4) Verträge mit E-Business-Providern

Änderungen, Umstellungen und Kürzungen bleiben vorbehalten. Der aktuelle Termin- und Themenplan ist zu gegebener Zeit über die elektronische Dokumentenablage abrufbar (
Link).
SkriptEs wird mit Folien gearbeitet, die als PDF über die elektronische Dokumentenablage (ILIAS) auf dem System der ETHZ abrufbar sind. Auf dem Termin- und Themenplan (ebenfalls online abrufbar) sind Links zu Gesetzestexten und weiteren Unterlagen abrufbar. COVID-19-bedingt erfolgt die Vorlesung ausschliesslich online, d.h. es wird ein Podcast zum Download angeboten (der genaue Ort wird noch bekanntgegeben).

Der Termin- und Themenplan ist zu gegebener Zeit über die elektronische Dokumentenablage abrufbar (
Link ).
LiteraturWeiterführende Materialien, Links und Literatur sind auf dem Termin- und Themenplan aufgeführt (zu gegebener Zeit abrufbar via elektronische Dokumentenablage,
Link ).
Voraussetzungen / BesonderesDie Semesterendprüfung findet üblicherweise in Form eines schriftlichen Kurztests (normalerweise MC) in der letzten Doppelstunde statt. Es wird angegeben, welche Unterlagen beim jeweiligen Thema den Prüfungsstoff definieren. Wie dies im Rahmen von COVID-19 geschehen wird, wird noch geklärt. Der Test wird möglicherweise elektronisch durchgeführt.
851-0252-01LHuman-Computer Interaction: Cognition and Usability Belegung eingeschränkt - Details anzeigen
Number of participants limited to 35.

Particularly suitable for students of D-ARCH, D-INFK, D-ITET
W3 KP2SH. Zhao, C. Hölscher, S. Ognjanovic
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 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 form work groups that 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).
851-0735-10LWirtschaftsrecht Belegung eingeschränkt - Details anzeigen
Maximale Teilnehmerzahl: 100

Besonders geeignet für Studierende D-ITET, D-MAVT
W2 KP2VP. Peyrot
KurzbeschreibungDie Vorlesung führt die Studierenden in praxisnaher Weise in die rechtlichen Aspekte der Gründung und Führung eines Unternehmens ein.
LernzielDie Studierenden verfügen über grundlegende Kenntnisse des Wirtschaftsrechts. Sie sind in der Lage, selbständig wirtschaftsrechtliche Problemstellungen zu erkennen und interessengerecht zu lösen.
Sie verfügen über folgende Kompetenzen:
- Sie verfügen über das Grundlagenwissen zur Gründung und Führung eines Unternehmens.
- Sie sind vertraut mit den Themen contracting, negotiation, claims management und dispute resolution
- Sie kennen die Bedeutung eines Systems zur Einhaltung der rechtlichen Rahmenordnung einzurichten (compliance).
- Sie können zum legal management des Unternehmens beitragen und rechtliche Fragestellungen mit Juristen besprechen.
- Sie verstehen das Recht als Teil der Unternehmensstrategie und als wertvolle Ressource für die Unternehmung.
SkriptEin umfassendes Skript wird auf der Plattform Moodle online zur Verfügung gestellt.
851-0738-01LDie Rolle des Geistigen Eigentums im Ingenieurwesen und den technischen Wissenschaften Belegung eingeschränkt - Details anzeigen
Maximale Teilnehmerzahl: 40

Besonders geeignet für Studierende D-BAUG, D-BIOL, D-BSSE, D-CHAB, D-ITET, D-MAVT
W2 KP2VK. Houshang Pour Islam
KurzbeschreibungPatente und andere Formen des Geistigen Eigentums haben in den letzten Jahrzehnten einen starken Bedeutungszuwachs im Alltag von Ingenieuren und Wissenschaftern erfahren. Ziel der Vorlesung ist es, einen Überblick über grundlegende Aspekte des Geistigen Eigentums zu vermitteln und die Vorlesungsteilnehmer in die Lage zu versetzen, das Wissen später im Berufsalltag einzusetzen.
LernzielDas Wissen über Geistiges Eigentum ist für Ingenieure und Wissenschafter in den letzten Jahrzehnten zunehmend wichtiger geworden und bildet mittlerweile eine Schlüsselqualifikation. Sowohl in Produktion und Vertrieb als auch in Forschung und Entwicklung sind sie dabei insbesondere mit Fragen zum Schutz von technischen Erfindungen und mit der Nutzung von Patentinformationen konfrontiert.

Im Rahmen der Vorlesung werden die Vorlesungsteilnehmer mit den praxisrelevanten Aspekten des Geistigen Eigentums vertraut gemacht und in die Lage versetzt, das erworbene Wissen später im Berufsalltag einzusetzen.

Unter anderem werden in der Vorlesung die folgenden Themen behandelt:
- Die Bedeutung von Innovationen in industrialisierten Ländern
- Überblick über die Formen des Geistigen Eigentums
- Der Schutz von technischen Erfindungen und die Absicherung der kommerziellen Umsetzung
- Patente als Quelle für technische und andere wichtige Informationen
- Praktische Aspekte des Geistigen Eigentum im Forschungsalltag, bei der Arbeit im Unternehmen und bei der Gründung von Startups.

Das in der Vorlesung vermittelte Wissen wird anhand von Beispielen aus verschiedenen technischen Bereichen veranschaulicht und vertieft.

Die Vorlesung umfasst praktische Übungen zur Nutzung und Recherche von Patentinformationen. Es wird dabei das Grundwissen vermittelt, wie Patentdokumente gelesen und ausgewertet werden und öffentlich zugängliche Patentdatenbanken genutzt werden können, um die benötigten Patentinformationen zu beschaffen und im Alltag einzusetzen.
Voraussetzungen / BesonderesDie Vorlesung ist für Studierende ingenieurwissenschaftlicher, naturwissenschaftlicher und anderer technischer Studienfächer geeignet.
851-0738-00LGeistiges Eigentum: Eine Einführung
Besonders geeignet für Studierende D-CHAB, D-INFK, D-ITET, D-MAVT, D- MATL, D-MTEC
W2 KP2VM. Schweizer
KurzbeschreibungDie Vorlesung bietet eine Einführung in das schweizerische und europäische Immaterialgüterrecht (Marken-, Urheber-, Patent- und Designrecht). Auch werden die Aspekte des Wettbewerbsrechts behandelt, die für den Schutz geistiger Schöpfungen und unternehmens- oder produktbezogener Zeichen relevant sind. Die rechtlichen Grundlagen werden anhand aktueller Fälle erarbeitet.
LernzielZiel der Vorlesung ist es, ETH-Studierende in die Lage zu versetzen, zu erkennen, welche Schutzrechte die von ihnen geschaffenen Leistungen möglicherweise schützen oder verletzen können. Dadurch lernen die Studierenden, die immaterialgüterrechtlichen Chancen und Risiken bei der Entwicklung und Vermarktung von Produkten abzuschätzen. Dazu müssen sie die Schutzvoraussetzungen und den Schutzumfang der verschiedenen immaterialgüterrechtlichen Schutzrechte ebenso kennen wie die Probleme, die typischerweise bei der Durchsetzung von Schutzrechten auftreten. Diese Kenntnisse sollen praxisnah aufgrund von aktuellen Urteilen und Fällen vermittelt werden.

Ein weiteres Ziel ist es, den Studierenden zu ermöglichen, informiert an der aktuellen Diskussion über die Ziele und Wünschbarkeit des Schutzes geistiger Leistungen teilzunehmen, wie sie insbesondere auf den Gebieten des Urheberrechts (Stichworte fair use, Creative Commons, Copyleft) und Patentrechts (Software-Patente, patent trolls, patent thickets), geführt wird.
851-0732-06LLaw & Tech Belegung eingeschränkt - Details anzeigen
Number of participants limited to 30.
W3 KP3SA. Stremitzer, J. Merane, A. Nielsen
KurzbeschreibungThis course introduces students to legal, economic, and social perspectives on the increasing
economic and social importance of technology. We focus particularly on the challenges to current
law posed by the increasing rate of tech innovation and adoption generally and also by case-specific
features of prominent near-future technologies.
LernzielThe course is intended for a wide range of engineering students, from machine learning to
bioengineering to human computer interaction, as well as for law students interested in acquiring a
better understanding of state-of-the-art technology.

The course will combine both an overview of major areas of law that affect the regulation of
technology and also guest lectures on the state-of-the art in a variety of important technologies,
ranging from autonomous vehicles to fair artificial intelligence to consumer-facing DNA technologies.

The course is open to ETH students through the Science in Perspective program of the Department
of Humanities, Social and Political Sciences.
InhaltThe planned course outline is below

1. Overview of science, law, and technology
a. Studies of law and technology
b. Should science be regulated, and if so, how?
c. Technology as a social problem

2. Designing technology for humans
a. Attention fiduciaries and the digital environment
b. Does technology weaponize known problems of bounded human rationality?
c. Should technology be regulated as a psychotropic substance? An addictive
substance?
d. Can technology make life easier?
e. Psychological effects of surveillance

3. Governing tech
a. Can small governments regulate big tech?
b. National and supranational legislation
c. Enforcing the law with technology
d. Can enforcement be baked into technology?

4. AI and fairness
a. Discrimination
b. Privacy
c. Opacity
d. AI and due process

5. Trade secret and technological litigation
a. Trade secret is a long-standing tool for litigation but does it enjoy too much
deference?
b. Trade secrets and the rights of employes

6. Enforcement against tech
a. Big tech and antitrust
b. Consumer protection

7. The Digital Battlefield
a. Technology for spying
b. Spying on technology companies
c. Race to be AI superpower
d. Immigration policy

8. Contract law
a. Smart contracts
b. Modernizing contract law and practice
c. Regulating cryptocurrencies

9. Tort law
a. Applying existing tort law to new autonomous technologies
b. Personhood and personal responsibility
c. Victim entitlements

10. Self-driving cars and other autonomous robotics
a. Legal regimes
b. Diversity in morality judgements related to autonomous vehicles

11. Biometrics
a. Widespread use of facial recognition
b. Law enforcement
c. Connecting biometrics to social data
d. Solving crimes with biometrics

12. New Biology and Medicine
a. Unregulated science (biohackers)
b. Promising technology before it can be delivered
c. Connecting medicine to social data
d. Using technology to circumvent medical regulations
851-0101-86LComplex Social Systems: Modeling Agents, Learning, and Games Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 100.

Prerequisites: Basic programming skills, elementary probability and statistics.
W3 KP2SN. Antulov-Fantulin, D. Helbing
KurzbeschreibungThis course introduces mathematical and computational models to study techno-socio-economic systems and the process of scientific research. Students develop a significant project to tackle techno-socio-economic challenges in application domains of complex systems. They are expected to implement a model and communicating their results through a seminar thesis and a short oral presentation.
LernzielThe students are expected to know a programming language and environment (Python, Java or Matlab) as a tool to solve various scientific problems. The use of a high-level programming environment makes it possible to quickly find numerical solutions to a wide range of scientific problems. Students will learn to take advantage of a rich set of tools to present their results numerically and graphically.

The students should be able to implement simulation models and document their skills through a seminar thesis and finally give a short oral presentation.
InhaltStudents are expected to implement themselves models of various social processes and systems, including agent-based models, complex networks models, decision making, group dynamics, human crowds, or game-theoretical models.

Part of this course will consist of supervised programming exercises. Credit points are finally earned for the implementation of a mathematical or empirical model from the complexity science literature and the documentation in a seminar thesis.
SkriptThe lecture slides will be presented on the course web page after each lecture.
LiteraturAgent-Based Modeling
Link

Social Self-Organization
Link

Traffic and related self-driven many-particle systems
Reviews of Modern Physics 73, 1067
Link

An Analytical Theory of Traffic Flow (collection of papers)
Link

Pedestrian, Crowd, and Evacuation Dynamics
Link

The hidden geometry of complex, network-driven contagion phenomena (relevant for modeling pandemic spread)
Link

Further literature will be recommended in the lectures.
Voraussetzungen / BesonderesThe number of participants is limited to the size of the available computer teaching room. The source code related to the seminar thesis should be well enough documented.

Good programming skills and a good understanding of probability & statistics and calculus are expected.
851-0467-00LFrom Traffic Modeling to Smart Cities and Digital Democracies Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 30.
W3 KP2SD. Helbing, S. Mahajan
KurzbeschreibungThis seminar will present speakers who discuss the challenges and opportunities arisinig for our cities and societies with the digital revolution. Besides discussing questions of automation using Big Data, AI and other digital technologies, we will reflect on the question of how democracy could be digitally upgraded to promote innovation, sustainability, and resilience.
LernzielTo collect credit points, students will have to give a 30-40 minute presentation in the seminar, after which the presentation will be
discussed. The presentation will be graded.
InhaltThis seminar will present speakers who discuss the challenges and opportunities arisinig for our cities and societies with the digital revolution. Besides discussing questions of automation using Big Data, AI and other digital technologies, we will also reflect on the question of how democracy could be digitally upgraded, and how citizen participation could contribute to innovation, sustainability, resilience, and quality of life. This includes questions around collective intelligence and digital platforms that support creativity, engagement, coordination and cooperation.
LiteraturMartin Treiber and Arne Kesting
Traffic Flow Dynamics: Data, Models and Simulation
Link

Dirk Helbing
Traffic and related self-driven many-particle systems
Reviews of Modern Physics 73, 1067
Link

Dirk Helbing
An Analytical Theory of Traffic Flow (collection of papers)
Link

Michael Batty, Kay Axhausen et al.
Smart cities of the future

Books by Michael Batty
Link

How social influence can undermine the wisdom of crowd effect
Link

Evidence for a collective intelligence factor in the performance of human groups
Link

Optimal incentives for collective intelligence
Link

Collective Intelligence: Creating a Prosperous World at Peace
Link

Big Mind: How Collective Intelligence Can Change Our World
Link

Programming Collective Intelligence
Link

Urban architecture as connective-collective intelligence. Which spaces of interaction?
Link

Build digital democracy
Link

How to make democracy work in the digital age
Link

Digital Democracy: How to make it work?
Link

Proof of witness presence: Blockchain consensus for augmented democracy in smart cities
Link

Iterative Learning Control for Multi-agent Systems Coordination
Link

Decentralized Collective Learning for Self-managed Sharing Economies
Link

Further literature will be recommended in the lectures.
851-0172-00LAround 1936: The New Language of Science Belegung eingeschränkt - Details anzeigen
Findet dieses Semester nicht statt.
Number of participants limited to 35.
W3 KP2S
KurzbeschreibungThe years around 1936 witnessed an intense intellectual production in all fields of knowledge. All those contributions had a common denominator: the reorganization of their fields around a formal conception of language, which changed our linguistic practices both in science and in everyday life. This seminar proposes a comparative reading of those texts, to understand that transformation.
LernzielDuring the seminar, students will be able to:
⁃ Acquire a broad interdisciplinary perspective on the history of formal languages
⁃ Obtain philosophical and historical tools for critically assessing the status language and sign systems in scientific practices
⁃ Develop a critical understanding of the notion of formal
⁃ Discuss the methodological capabilities of historical epistemology
InhaltThe years around 1936 (say, between 1934 and 1938) were the occasion of an intense and fertile intellectual production, opening new and long-lasting perspectives in practically all fields of knowledge, from mathematics and physics to linguistics and aesthetics, and even inaugurating or prefiguring new disciplines such as computability, complexity or information theory. Indeed, within those few years, famous seminal papers and works appeared by authors such as Einstein, Turing, Church, Gödel, Kolmogorov, Bourbaki, Gentzen, Tarski, Carnap, Shannon, Hjelmslev, Schoenberg or Le Corbusier. Despite the diversity of fields of knowledge concerned by this intense production, all those contributions seem to have a common denominator. In essence, they all concern a reorganization of their respective fields around a new conception of language as being of a purely formal nature. In hindsight, it can be said this simultaneous intellectual effort ended up changing our conception and practice of language, of what it means to read and write, both in science and in everyday life. However, although simultaneous, those efforts were not necessarily convergent. Multiple tensions, incompatibilities and fragile alliances accompanied the emergence of orientations such as computability theory, complexity theory, structuralist mathematics, proof and model theory, logicism, information theory, structuralist linguistics or aesthetical formalism and constructivism. This seminar proposes, then, to perform a comparative reading of those original texts, to understand the nature of that transformation, the convergences and divergences between the different projects at stake, and how the singular way in which they have historically articulated still determines our contemporary practices and conceptions of language.
851-0252-02LIntroduction to Cognitive Science
Findet dieses Semester nicht statt.
Particularly suitable for students of D-ITET
W3 KP2VC. Hölscher
KurzbeschreibungThe lectures provide an overview of the foundations of cognitive science and investigate processes of human cognition, especially perception, learning, memory and reasoning. This includes a comparison of cognitive processes in humans and technical systems, especially with respect to knowledge acquisition, knowledge representation and usage in information processing tasks.
LernzielCognitive Science views human cognition as information processing and provides an inter-disciplinary integration of approaches from cognitive psychology, informatics (e.g., artificial intelligence), neuroscience and anthropology among others. The lectures provide an overview of basic mechanisms of human information processing and various application domains. A focus will be on matters of knowledge acquisition, representation and usage in humans and machines. Models of human perception, reasoning, memory and learning are presented and students will learn about experimental methods of investigating and understanding human cognitive processes and representation structures.
851-0600-00LSustainable DAOs: Blockchains, Smart Contracts and Value-Sensitive Token Design
Basic programming skills are required.
W3 KP4GM. M. Dapp
KurzbeschreibungThe course critically reflects the emerging engineering challenge of creating sustainable and ethical permissionless decentralized applications. Students apply value-sensitive design and systems thinking to create novel socio-ecological incentive systems using distributed ledger systems. The course is interdisciplinary and covers aspects of sustainable development, economics, and technology.
Lernziel- Understand key mechanisms in DLT systems & smart contract engines
- Compare and evaluate different DLT systems
- Understand key economic issues in context of Sustainable Development Goals and how alternative incentive systems can address them
- Understand role of modeling/simulation for cryptoeconomic systems in context of ethical and governance challenges
- Apply value-sensitive design to cryptoeconomics/token engineering
- Understand Ethereum’s web3 stack and tool chain
- Write, deploy, and run your own dApp
- Understand connectivity to IoT
InhaltHow can we completely redesign our society towards more sustainable action, more democratic governance, and more equitable finance?

Ten years after Bitcoin, the crypto space has developed a lot many innovative and highly experimental projects around this fundamental question. Why? What potential do they see in distributed ledger technology with regard to these formidable societal challenges? People are exploring this technology space to envision new ways of organizing, coordinating, and

This course is offering an introduction to this still hard-to-navigate emerging landscape. We will provide you with an essential understanding of the socio-ecological and economic issues at hand. We will look more in depth into questions of collective action, incentives to understand how DLT could be applied in an ethical way. Last but not least, you will learn the programming skills to understand and build better decentralized systems. These questions will be critically reflected in all parts of the course using small interactive interventions in class.

The course will be structured in four parts. The first part will provide an introduction into Distributed Ledger Technology and blockchain systems in particular. You will learn the terminology and a systematic method to understand new systems based on a taxonomy we developed. The second part will highlight the paradigm shift from web2 to web3 applications and what implications it has when developing decentralized applications. The important role of the new emerging field of token engineering/cryptoeconomics will be discussed alongside with economic, ethical, and legal considerations for governing immutable decentralized “autonomous” systems. Part three will be a developer’s introduction to the largest permissionless smart contract system to date: Ethereum. You will learn what it takes to create your own decentralized application (dApp). Based on all this knowledge, in part four, teams of three will build their own projects, for which we will bring a series of challenges in the context of new incentive systems in the context of the "Sustainable Development Goals"

We are looking for students who have prior programming experience and who are keen on entering this new space. As the team behind BETH: Blockchain School for Sustainability (formerly known as BIOTS), we hope to attract students who are motivated by tackling large sustainability challenges with new approaches to human coordination enabled by this systems innovation called blockchain.

To receive credits, you attend the lectures, and produce – in a team of three – a decentralized application plus a report describing the process you went through creating it.
851-0760-00LBuilding a Robot Judge: Data Science for Decision-Making Belegung eingeschränkt - Details anzeigen
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 machine learning tools needed to predict judge decision-making and ask whether techniques in model explanation and algorithmic fairness are sufficient to address the potential risks.
LernzielThis course introduces students to the data science tools that may provide the first building blocks for a robot judge. While building a working robot judge might be far off in the future, some of the building blocks are already here, and we will put them to work.
InhaltData science technologies have the potential to improve legal decisions by making them more efficient and consistent. On the other hand, there are serious risks that automated systems could replicate or amplify existing legal biases and rigidities. Given the stakes, these technologies force us to think carefully about notions of fairness and justice and how they should be applied.

The focus is on 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? Students will be introduced to emerging applied research in this vein. In a semester paper, students (individually or in groups) will conceive and implement an applied data-science research project.
851-0761-00LBuilding a Robot Judge: Data Science for Decision-Making (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. This is the extra credit for a larger course project for the course.
LernzielIn a semester paper, students (individually or in groups) will conceive and implement their own research project applying natural language tools to legal texts. Some programming experience in Python is required, and some experience with NLP is highly recommended.
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.
851-0125-65LA Sampler of Histories and Philosophies of Mathematics
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
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