Suchergebnis: Katalogdaten im Frühjahrssemester 2021

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-ARCH
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, R. Zingg
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.
851-0252-08L	Evidence-Based Design: Methods and Tools For Evaluating Architectural Design Number of participants limited to 40 Particularly suitable for students of D-ARCH	W	3 KP	2S	M. Gath Morad, C. Hölscher, C. Veddeler
Kurzbeschreibung	The course focus is on pre-occupancy evaluation in architecture to support an evidence-based design process. Students are taught a variety of methods such as virtual reality, agent-based simulations and spatial analysis. The course is project-oriented and is open for architecture and STEM students with an interest in interdisciplinary teamwork.
Lernziel	This semester, students would focus on evaluating healthcare and office typologies from the perspective of building occupants’ and across scenarios, including routine operation and post-pandemic scenarios. Students will apply the tools learned in the course to compare building typologies, using various metrics including spatial proximity, visibility, orientation and movement. On the basis of this multi-objective evaluation, students would propose and evaluate design interventions across scenarios, identifying the Strength, Weaknesses, Opportunities and threats across the various typologies. The course is tailored for students studying for B-ARCH and M-ARCH degrees and is also suitable for students in STEM faculties. As an alternative to obtaining D-GESS credit, architecture students can obtain course credit in "Vertiefungsfach" or "Wahlfach".
Skript	English
851-0648-00L	Machine Learning for Global Development Number of participants limited to 24 Prerequisite: Students on BSc or MSc level who have already successfully participated in a data science and programming course.	W	3 KP	2G	J. D. Wegner, L. Hensgen, A. Rom
Kurzbeschreibung	In this course students will learn theories of machine learning and its application to problems in the context of global development, with a focus on developing countries (e.g. predicting the risk of child labor or chances of a malaria outbreak). By the end of the course, students will be able to critically reflect upon linkages between technical innovations, culture and individual/societal needs.
Lernziel	The objective of this course is to introduce students with a non-technical background to machine learning. Emphasis is on hands-on programming and implementation of basic machine learning concepts to demystify the subject, equip participants with all necessary insights and tools to develop their own solutions, and to come up with original ideas for problems related to the context of global development. Specific importance is placed upon the reconciliation of the predictions, which have been generated by automated processes, with the realities on the ground; hence the linkage between technical and social issues. This raises questions such as “In how far can we trust an algorithm?”, “Which factors are hard to measure and therefore not integrated in the algorithm but still crucial for the result, such as cultural and social influences?”. These questions will be discussed in the interdisciplinary group, equipping students with various perspectives on this crucial and very current debate.
Inhalt	This course will give an introduction to machine learning with emphasis on global development. We will discuss topics like data preprocessing, feature extraction, clustering, regression, classification and take some first steps towards modern deep learning. The course will consist of 50% lectures and 50% hands-on programming in python, where students will directly implement learned theory as a software to help solving problems in global development.
Voraussetzungen / Besonderes	This course will give an introduction to machine learning with emphasis on applications in global development. It will consist of 50% lectures and 50% programming exercises (in python). Teaching assistants from the EcoVision Lab will help with all programming exercises without any needs for additional funding. Students should bring their laptops to the exercises because we will program on laptops directly. It is required that students enrolling in this course have successfully passed a course that deals with basic data science and are familiar with programming (preferably in Python).
851-0174-00L	Rebooting AI: Human and Social Aspects of Artificial Intelligence Suitable only for MA and PhD students	W	3 KP	2G	J. L. Gastaldi, O. Del Fabbro, A. Nardo, D. Trninic
Kurzbeschreibung	Several researchers from the humanities will propose a critical yet not partisan approach to AI, aiming at elaborating a common perspective on this phenomenon. Sessions will delve into aspects of the way in which AI challenges our understanding of the human, such as “Knowledge”, “Learning”, “Language”, “Freedom” or “Justice”.
Lernziel	During the course, students will be able to: -Discuss relevant aspects of the impact of AI in human and social life -Obtain theoretical and methodological tools for critically assessing the place of technology in society -Develop a critical understanding of the conceptual grounds of AI -Acquire a general perspective on the different fields and points of views in the humanities -Engage in collaborative work with researchers in the humanities
Inhalt	The last decades have witnessed a remarkable development in the field of Artificial Intelligence (AI). Although mainly technical feat, such advances have decisive consequences in a wide variety of aspects of human and social life. Even more, AI is challenging in multiple ways our very understanding of what is to be a human. However, despite the significance of the transformations at stake, the perspectives of the humanities -traditionally established as a valid source of critical inquiry into human matters- are generally relegated to a secondary role in the development of AI. In this seminar, several researchers from the humanities will propose a critical yet not partisan approach to AI, aiming at elaborating a common perspective which could be taken as a legitimate interlocutor in the debates arising around the current stakes of technology in our society. The seminar will take the form of presentations based on critical readings of chosen texts, followed by group discussions. Each session will delve into one aspect of the way in which AI challenges our understanding of the human, such as “Knowledge”, “Learning”, “Language”, “Freedom” or “Justice”, confronting how they are dealt with in state-of-the-art texts in AI and relevant works in the humanities. We expect students from science, technology, engineering, and mathematics and other fields outside the humanities to actively contribute to a collective construction, which could lead to further collaboration within but also outside this course. As part of the Turing Centre, this seminar intends to sow the seed of a suitable and long-term environment for the exchange of ideas between multiple fields in the natural sciences and the humanities. The seminar will be conducted by Olivier Del Frabbro, Juan Luis Gastaldi, Aline Nardo, Vanessa Rampton and Dragan Trninic.
Voraussetzungen / Besonderes	Suitable only for MA and PhD students
851-0097-00L	Was ist Wissen und wann dürfen wir Wissen beanspruchen?	W	3 KP	2G	L. Wingert
Kurzbeschreibung	Das Seminar soll Grundzüge des Begriffs von Wissen aufklären, wie er in unserer erfahrungsförmigen Beziehung zur Welt enthalten ist. Dazu gehört eine Klärung des Unterschiedes zwischen Wissen und Meinung, der Beziehungen zwischen Objektivität und Wissen sowie der Rolle, die Gründe für das Wissen spielen. Darüber hinaus sollen verschiedenartige Ansprüche, etwas zu wissen, beurteilt werden.
Lernziel	Man sollte gelernt haben, was für und gegen die These spricht, wonach Wissen wahre gerechtfertigte Überzeugung ist. Man wird besser die Rolle von Gründe für Wissensansprüche verstehen und man wird einige Einsichten in Vorzüge und Schwächen einer naturalistischen Auffassung von Wissen gewonnen haben. Auch wird man vertrauter sein mit einigen Theorien der philosophischen Erkenntnistheorie.
052-0518-21L	Theorie und Praxis: Special Turn und Immaterieller Raum. Joseph Beuys contra René Descartes	W	2 KP	2G	C. Posthofen, A. Brandlhuber
Kurzbeschreibung	Sowohl der Rationalismus des „radikalen Zweifels“ bei Rene´ Descartes als auch das „Ver-stehen“ im Beuysschen Sinne von „woanders-hin-stehen“ haben philosophisch-ästhetische Wurzeln und raumtheoretische und räumpraktische Konsequenzen. In Auseinandersetzung damit arbeiten die Studierenden an einer eigenen raumtheoretischen Position, wobei materielle und immaterielle Raumaspekte eine Rolle spielen.
Lernziel	Die Studierenden gewinnen Einsicht in das Spektrum erkenntnistheoretischer und wahrnehmungstheoretischer Theorien, lernen diese zu lesen und deren jeweilige Voraussetzungen zu analysieren und kritisieren. Aus dieser Arbeit entwickelt sich ein Objektbeziehungsmodell in progress, das der Eigenüberprüfung im Entwurfsprozess sowie der Beurteilung architektonischer Situationen im Allgemeinen und im Besonderen dient. Das Verfassen von "wissenschaftlichen Tagebüchern", in denen in freier Form die Inhalte des Kolloquiums mit der Alltagserfahrung der Studierenden zusammengedacht werden, schult das konzentrierte, ergebnisorientierte Denken im Allgemeinen wie auch in architektonischen Situationen. Die besondere Form der Schriftlichkeit des "wissenschaftlichen Tagebuchs" führt abstrakte Theorie mit dem Erleben der Studierenden zusammen und macht das Wissen auf eigene Art kreativ verfügbar.
Inhalt	Special Turn und Immaterieller Raum. Joseph Beuys „wie ich dem toten Hasen die Kunst erkläre“ kontra Rene‘ Descartes „Ich denke also bin ich“. Überlegungen und Übungen zur Ästhetik des Raumes. Sowohl der Rationalismus des „radikalen Zweifels“ bei Rene´ Descartes, als auch etwa das „Ver-stehen“ im Beuysschen Sinne von „woanders-hin-stehen“ haben philosophisch-ästhetische Wurzeln und raumtheoretische und räumpraktische Konsequenzen. In Auseinandersetzung u.a. mit diesen gegensätzlichen Positionen, arbeiteten die SeminarteilnehmerInnen an einer eigenen raumtheoretischen Position. Dabei spielen sowohl materielle als auch immaterielle Raumaspekte eine Rolle.
Skript	Wird beim ersten Treffen ausgegeben.
Literatur	Rene’Descartes, Meditationen, Felix Meiner Verlag, Hamburg 2009; Volker Harland, Was ist Kunst? Werkstattgespräch mit Beuys, Urachhaus Verlag, Stuttgart 2001; Harlan, Rappmann, Schata, Soziale Plastik – Materialien zu Joseph Beuys, Achberger Verlag, Achberg 1984.

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