Suchergebnis: Katalogdaten im Frühjahrssemester 2020

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-PHYS
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	3S	N. Antulov-Fantulin
Kurzbeschreibung	This course introduces how techno-socio-economic systems in our complex society can be better understood with techniques and tools of data science. Students shall learn how the fundamentals of data science are used to give insights into the research of complexity science, computational social science, economics, finance, and others.
Lernziel	The goal of this course is to qualify students with knowledge on data science to better understand techno-socio-economic systems in our complex 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 tools, methods and techniques of data science. In particular, lectures will be divided into research talks and tutorials. The course shall increase the awareness level of students of the importance of interdisciplinary research. Finally, students have the opportunity to develop their own data science skills based on a data challenge task, they have to solve, deliver and present at the end of the course.
Voraussetzungen / Besonderes	Good programming skills and a good understanding of probability & statistics and calculus are expected.
851-0147-01L	Theorien, Experimente, Kausalität Findet dieses Semester nicht statt. Besonders geeignet für Studierende D-PHYS	W	3 KP	2G	R. Wallny, M. Hampe
Kurzbeschreibung	In diesem Kurs werden verschiedene Grundbegriffe und Problemstellungen aus der Physik vor einem breiteren historischen und philosophisch-systematischen Hintergrund kritisch reflektiert. Behandelt werden u.a. die Rolle des Experiments, der Materie- und Feldbegriff sowie Kriterien der Theoriebildung.
Lernziel	Die Veranstaltung soll Studierende in die Lage versetzen, unterschiedliche Ansätze und Problemstellungen aus der Physik, kritisch zu bewerten und dies auch Personen ausserhalb ihres Fachgebiets souverän kommunizieren zu können.
Voraussetzungen / Besonderes	Diese Lehrveranstaltung ist Teil der "Critical Thinking"-Initiative der ETH.
851-0591-01L	BETH - Blockchain for Sustainability Findet dieses Semester nicht statt. Number of participants limited to 200 Particularly suitable for students of D-INFK, D-MTEC, D-ITET, D-MAVT,D-PHYS	W	3 KP	4G	D. Helbing
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!
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 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.
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 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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