Search result: Catalogue data in Autumn Semester 2023
Doctorate Architecture  More Information at: https://www.ethz.ch/en/doctorate.html | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 701-0015-00L | Transdisciplinary Research: Challenges of Interdisciplinarity and Stakeholder Engagement The lecture takes place if a minimum of 12 students register for it. | W | 2 credits | 1S | B. Vienni Baptista, C. E. Pohl, M. Stauffacher | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This seminar is designed for PhD students and PostDoc researchers involved in inter- or transdisciplinary research. It addresses and discusses challenges of this kind of research using scientific literature presenting case studies, concepts, theories, methods and by testing practical tools. It concludes with a 10-step approach to make participants' research projects more societally relevant. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Participants know specific challenges of inter- and transdisciplinary research and can address them by applying practical tools. They can tackle questions like: how to integrate knowledge from different disciplines, how to engage with societal actors, how to secure broader impact of research? They learn to critically reflect their own research project in its societal context and on their role as scientists. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The seminar covers the following topics: (1) Theories and concepts of inter- and transdisciplinary research (2) The specific challenges of inter- and transdisciplinary research (3) Collaborating between different disciplines (4) Engaging with stakeholders (5) 10 steps to make participants' research projects more societally relevant Throughout the whole course, scientific literature will be read and discussed as well as practical tools explored in class to address concrete challenges. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Literature will be made available to the participants. The following open access article builds a core element of the course: Pohl, C., Krütli, P., & Stauffacher, M. (2017). Ten Reflective Steps for Rendering Research Societally Relevant. GAIA 26(1), 43-51 doi: 10.14512/gaia.26.1.10 available at (open access): Link Further, this collection of tools will be used https://naturalsciences.ch/topics/co-producing_knowledge https://www.shapeidtoolkit.eu | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Participation in the course requires participants to be working on their own research project. Dates (Wednesdays, 8h15-12h00): 27 September, 11 October, 25 October, 8 November, 22 November | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 101-0139-00L | Scientific Machine and Deep Learning for Design and Construction in Civil Engineering  | W+ | 3 credits | 4G | M. A. Kraus, D. Griego | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course will present methods of scientific machine and deep learning (ML / DL) for applications in design and construction in civil engineering. After providing proper background on ML and the scientific ML (SciML) track, several applications of SciML together with their computational implementation during the design and construction process of the built environment are examined. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | This course aims to provide graduate level introduction into Machine and especially scientific Machine Learning for applications in the design and construction phases of projects from civil engineering. Upon completion of the course, the students will be able to: 1. understand main ML background theory and methods 2. assess a problem and apply ML and DL in a computational framework accordingly 3. Incorporating scientific domain knowledge in the SciML process 4. Define, Plan, Conduct and Present a SciML project | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The course will include theory and algorithms for SciML, programming assignments, as well as a final project assessment. The topics to be covered are: 1. Fundamentals of Machine and Deep Learning (ML / DL) 2. Incorporation of Domain Knowledge into ML and DL 3. ML training, validation and testing pipelines for academic and research projects A comprehensive series of computer/lab exercises and in-class demonstrations will take place, providing a "hands-on" feel for the course topics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | The course script is composed by lecture slides, which are available online and will be continuously updated throughout the duration of the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Suggested Reading: Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong Mathematics for Machine Learning K. Murphy. Machine Learning: a Probabilistic Perspective. MIT Press 2012 C. Bishop. Pattern Recognition and Machine Learning. Springer, 2007 S. Guido, A. Müller: Introduction to machine learning with python. O'Reilly Media, 2016 O. Martin: Bayesian analysis with python. Packt Publishing Ltd, 2016 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Familiarity with MATLAB and / or Python is advised. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 351-0778-00L | Discovering Management Entry level course in management for BSc, MSc and PHD students at all levels not belonging to D-MTEC. This course can be complemented with Discovering Management (Excercises) 351-0778-01. | W | 3 credits | 3G | B. Clarysse, S. Brusoni, F. Da Conceição Barata, V. Hoffmann, T. Netland, P. Tinguely, L. P. T. Vandeweghe | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Discovering Management offers an introduction to the field of business management and entrepreneurship for engineers and natural scientists. By taking this course, students will enhance their understanding of management principles and the tasks that entrepreneurs and managers deal with. The course consists of theory and practice sessions, presented by a set of area specialists at D-MTEC. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The general objective of Discovering Management is to introduce students into the field of business management and entrepreneurship. In particular, the aims of the course are to: (1) broaden understanding of management principles and frameworks (2) advance insights into the sources of corporate and entrepreneurial success (3) develop skills to apply this knowledge to real-life managerial problems The course will help students to successfully take on managerial and entrepreneurial responsibilities in their careers and / or appreciate the challenges that entrepreneurs and managers deal with. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The course consists of a set of theory and practice sessions, which will be taught on a weekly basis. The course will cover business management knowledge in corporate as well as entrepreneurial contexts. The course consists of three blocks of theory and practice sessions: Discovering Strategic Management, Discovering Innovation Management, and Discovering HR and Operations Management. Each block consists of two or three theory sessions, followed by one practice session where you will apply the theory to a case. The theory sessions will follow a "lecture-style" approach and be presented by an area specialist within D-MTEC. Practical examples and case studies will bring the theoretical content to life. The practice sessions will introduce you to some real-life examples of managerial or entrepreneurial challenges. During the practice sessions, we will discuss these challenges in depth and guide your thinking through team coaching. Through small group work, you will develop analyses of each of the cases. The theory sessions will be assessed via a multiple choice exam. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | All course materials (readings, slides, videos, and worksheets) will be made available to inscribed course participants through Moodle. These course materials will form the point of departure for the lectures, class discussions and team work. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 064-0025-23L | Introduction to Computational Research in Architecture, Engineering, Fabrication and Construction Does not take place this semester. | W | 2 credits | 3K | P. Block | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The PhD-level course (primarily for A&T PhDs) will introduce computational methods for architecture, engineering, fabrication & construction, incentivising computational literacy. Students learn the theoretical background and basic implementation details of fundamental data structures and algorithms, and to solve realworld problems using the COMPAS framework and other open-source libraries. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Understand the scope and relevance of computational methods for architecture and engineering research and practice, ii) the theoretical background of fundamental data structures, iii) the basic principles of algorithmic design; iv) implement basic versions of prevalent algorithms related to architectural geometry, structural design, robotic assembly, volumetric modeling & 3D printing, high-performance computation; v) use sophisticated algorithms available through open-source libraries to solve real-world problems; and, vi) use common CAD tools as interfaces to self-implemented solutions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Course consists of a few lectures, several tutorials and project-based exercises. Topics include: - intro Python programming - intro COMPAS open-source framework (https://compas-ev.github.io - intro to geometry processing, data structures, topology, numerical computation - domain-specific case studies (e.g. on architectural geometry, structural design, robotic assembly, volumetric modeling & 3D printing, high-performance computation) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Priority is given to PhD students. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 351-0778-01L | Discovering Management (Pitch) Complementary exercises for the module Discovering Managment. Prerequisite: Participation and successful completion of the module Discovering Management (351-0778-00L) is mandatory. | W | 1 credit | 1U | B. Clarysse, L. P. T. Vandeweghe | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course is offered complementary to the basis course 351-0778-00L, "Discovering Management". The course offers an additional exercise. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The general objective of Discovering Management (Exercises) is to complement the course "Discovering Management" with one larger additional exercise. Discovering Management (Exercises) thus focuses on developing the skills and competences to apply management theory to a real-life exercise from practice. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The exercise consists of delivering and submitting a "pitch" with a clear recommendation for one of the selected cases amongst those seen in Discovering Management, using your insights from Discovering Management, and an extra session on pitching. Students have the option to either do this alone or in a group of two students. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | All course materials (readings, slides, videos, and worksheets) will be made available to inscribed course participants through Moodle. Students following this course should also be enrolled for course 351-0778-00L, "Discovering Management". | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 064-0027-23L | PhD Colloquium CASA (Institute IEA) Does not take place this semester. | W | 2 credits | 2K | E. Mosayebi | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 064-0005-23L | Advanced Topics in History and Theory of Architecture | W | 1 credit | 1K | T. Avermaete, M. Delbeke, L. Stalder, P. Ursprung | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The seminar will consist of a series of collective readings of selected texts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Knowledge of relevant texts in contemporary theory. Capacity to critically discuss methods and discourses. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Scans of selected texts for discussion and exercises will be provided at the beginning of the semester on the course website: https://doctoral-program.gta.arch.ethz.ch/courses | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | The seminar addresses the fellows of the Doctoral Program in History and Theory of Architecture. All other doctoral students of the Faculty of Architecture are welcome. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 064-0013-23L | Research Methods in the History and Theory of Architecture | W | 2 credits | 2S | C. Rachele | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Introduction to methodological approaches in the history and theory of architecture; presentation and discussion of individual doctoral projects. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | This required two-semester course in the first year of the gta doctoral program combines a traditional doctoral reading seminar with a practical writing workshop geared towards the development of the doctoral plan. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | “Again. If a thing can be done adequately by means of one, it is superfluous to do it by means of several; for we observe that nature does not employ two instruments where one suffices.” - Thomas Aquinas, Summa Contra Gentiles, III.70, in Basic Writings of Thomas Aquinas, ed. and trans. Anton Pegis, New York 1945, 2:129. The methodology of humanistic research grows more complex with every academic generation: it presents a thicket of epistemological frameworks rather than a straightforward array of tools. In the omnivorous field of architectural history and theory, the scholar faces yet further possibilities. This course considers the variety of available strategies for the creation of architectural histor(ies) and theor(ies) as an intellectural opportunity distinctive to our discipline. Through close study of a range of historically significant or innovative texts, we will deepen our understanding of how other scholars have structured their work and refine each student’s research methodology. The course, held over two semesters, combines a traditional doctoral theory seminar with a practical writing workshop. We will alternate reading-based discussions with working sessions directed towards the development of the doctoral plan to be submitted at the end of the first year. The course schedule will be available at the beginning of the semester on the course website: https://doctoral-program.gta.arch.ethz.ch/courses Please note gta doctoral program courses begin the third week of the semester (the first week of October). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | PDFs of texts for discussion will be provided on the course moodle page (registered students only). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Required for first-year gta doctoral students; gta MAS and external doctoral students accepted by application, space permitting. Due to the intensive nature of the course, auditors and passive participants are not allowed. Please contact instructor for more information. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 064-0015-23L | PhD Colloquium Theory of Information Technology for Architects | W | 2 credits | 2K | L. Hovestadt | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Information technology plays an increasingly important role in research. To meet this challenging development, it is not only important to acquire respective skills, but also to consider and understand information technology in what sets it apart from other gestalts of technics (like mechanics, dynamics, or thermodynamics). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The aim of this colloquium is to counter an observable tendency, that proportional to the degree in which students master practical skills in computing, they increasingly submit uncritically, in their understanding and framing of problems, to the dictation of schemata and templates implemented by technical systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The starting point for this colloquium is to comprehend computing not in terms of skills, but as a literacy which we can experience emerging today. Like in the case of writing as well, computing cannot exhaustively be reduced to either logics, grammar, arithmetics, or analytics. Rather, computation, if comprehended as a literacy, relates to any of the established categories of learning and raises questions of an architectonic kind. This colloquium draws from the principal richness of cultural forms of knowing and learning and thematizes approaches to formulate a theoretical stance on information technology for architects which is driven by and resting on the actual reality of computability today. In this, it is complementary to those theory courses on technology offered by the historical disciplines at ETH. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | To benefit from this course, you should have a practical affinity to technics, as well as an abstract interest in information technology in its comprehensive cultural context. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 064-0017-23L | Researching Otherwise: Pluriversal methodologies for Landscape and Urban research | W | 2 credits | 2K | F. Persyn, N. Bathla, T. Galí-Izard | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Researching Otherwise is a call to craft another space for the production of knowledge. It posits that fluid epistemologies that respond to ways of decolonial, pluriversal, and more-than-human knowing can offer tools and ways for reimagining and reconstructing local worlds and transcending developmental paradigms of researching and operating. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Research in landscape and urban studies just like in other disciplines has been subject to the act of border and boundary-making that mediates, conditions, and limits its horizons while determining its outcomes. Some of these borders and boundaries are more familiar than others. In terms of geographical boundaries, for instance, the global north-south boundary has haunted landscape and urban research shrouded under the narratives of developmentalism. However, there are other borders such as the disciplinary ones, which attempts to separate and isolate a domain from other similarly specialised disciplines. This according to Paul Feyerabend is due to the tendency of modernity whereby ‘scientific education, aims to simplify “science” by simplifying its participants.’ Then there are the methodological boundaries established due to ‘cartesian dualism’, which act in the practice and training of becoming objective, teach researchers to be content with studying the products of imagination rather than working with imaginative processes themselves. Then there is a third, onto-epistemological border which defines that the knowing subject in the disciplines is not transparent and disincorporated or untouched by the geopolitical configuration of the world in which people and regions have and continue to be ranked and configured racially. It argues for moving away from a one world ontology. Decolonial thinkers such as Walter Mignolo and Gloria Anzaldúa have proposed for border thinking as a method for politically and epistemically de-linking from the web of imperial knowledge, which has energised a number of disobedient and anarchic traditions of researching otherwise. Researching Otherwise is a call ‘to craft another space for the production of knowledge – another way of thinking, un paradigma otro, the very possibility of talking about “worlds and knowledges otherwise”’. It posits that such ways of decolonial, pluriversal, and more-than-human knowing can offer tools and ways for reimagining and reconstructing local worlds and transcending developmental paradigms of researching and operating. Rather than rigid and closed epistemologies of knowing the landscape and the urban, this seminar promotes fluid epistemologies that respond to the incommensurabilities, radical alterities and other ways of knowing the environment. The call for researching otherwise is to deploy methodological tools such as drawing, photographing, sounding and listening, filmmaking, walking, and cartography for not only unearthing and unmasking systems of power and domination but also for researching possible other worlds and for countering the disembodiment of research and the researcher. The seminar will draw upon readings from a forthcoming publication by the same title. In terms of format, it will alternate between inputs by invited guests, reading and discussion sessions, tutorials, and peer-review. A number of input lectures by invited guests will will take the participants of the seminar into ways and methods of researching otherwise. These input lectures will be alternated with thematically organised tutorial sessions and peer-review. The seminar participants can choose to present the work developed during the seminar at the LUS Doctoral Crits organised at the end of the semester. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The format will provide an overarching methodological meta-theme, to be defined prior to the event. One external guest critic will be invited. In this case, each presentation will conclude with a discussion round, providing sufficiently detailed feedback for every doctoral candidate. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | 22.09 Researching Otherwise - Nitin Bathla 29.09 Walk through the brachen of Zurich - Sabrina Stallone 06.10 Imagining Otherwise: Social Movements for Livable Futures in the Sonoran Border Region - Darcy Alexandra 13.10 Transdisciplinary Action Research - Stephanie Briers 20.10 Extended Urbanisation Conference 27.10 Retreat Lively Cities colloquium with Maan Barua at Uni Liechtenstein 03.11 Publication Otherwise - Moritz Gleich & Jennifer, gta Verlag 10.11 Doctoral Colloquium 17.11 Comparative Research - Julie Ren 24.11 Border Forensics - Charles Heller 01.12 Sensing beyond the human - Nancy Couling 08.12 Doc Crits | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Barua, M. (2014) ‘Bio-geo-graphy: Landscape, dwelling, and the political ecology of human-elephant relations’, Environment and Planning D: Society and Space, 32(5), pp. 915–934. Crysler, C.G. (2003) Writing Spaces: Discourses of Architecture, Urbanism and the Built Environment, 1960–2000. London: Routledge. Available at: https://doi.org/10.4324/9780203402689. Eco, U. (2015) How to write a thesis. MIT Press. Geertz, C. (1973) ‘Thick Description: Toward an Interpretive Theory of Culture 1973’. Hultzsch, A. (2017) Architecture, travellers and writers: Constructing histories of perception 1640-1950. Routledge. Jackson Jr, J.L. (2013) Thin description. Harvard University Press. Jon, I. (2021) ‘The City We Want: Against the Banality of Urban Planning Research’, Planning Theory & Practice, 22(2), pp. 321–328. Available at: https://doi.org/10.1080/14649357.2021.1893588. Kennedy, H. (2019) ‘Infrastructures of “Legitimate Violence”: The Prussian Settlement Commission, Internal Colonization, and the Migrant Remainder’, Grey Room, pp. 58–97. Madden, M. (2005) 99 ways to tell a story: exercises in style. Penguin. Malm, A. (2013) ‘The origins of fossil capital: From water to steam in the British cotton industry’, Historical Materialism, 21(1), pp. 15–68. Malm, A. (2016) Fossil capital: The rise of steam power and the roots of global warming. Verso Books. Malm, A. and Hornborg, A. (2014) ‘The geology of mankind? A critique of the Anthropocene narrative’, The Anthropocene Review, 1(1), pp. 62–69. Marcus, G.E. (1995) ‘Ethnography in/of the world system: The emergence of multi-sited ethnography’, Annual review of anthropology, 24(1), pp. 95–117. Narayan, K. (2012) Alive in the Writing: Crafting Ethnography in the Company of Chekhov. University of Chicago Press. Queneau, R. (2018) Exercises in style. Alma Books. Shannon, K. and Manawadu, S. (2007) ‘Indigenous Landscape Urbanism: Sri Lanka’s Reservoir & Tank System’, Journal of Landscape Architecture, 2(2), pp. 6–17. Available at: https://doi.org/10.1080/18626033.2007.9723384. Soja, E. (2003) ‘Writing the city spatially1’, City, 7(3), pp. 269–280. Available at: https://doi.org/10.1080/1360481032000157478. Tornaghi, C. and Van Dyck, B. (2015) ‘informed gardening activism: steering the public food and land agenda’, Local Environment, 20(10), pp. 1247–1264. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | The participants of the seminar will be required to participate in two doctoral colloquiums; on Extended Urbanisation on 20.10 and on Lively Cities on 27.10. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Transferable Skills | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 900-0100-DRL | Transferable Skills Course I (1-3 days) Only for doctoral students. Please select your doctoral thesis supervisor as a lecturer and prove your participation with the appropriate certificate. | W | 1 credit | 2S | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Acquisition of transferable skills and cross-disciplinary competences in the range of short courses or workshops with a maximum duration of 3 days. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Acquisition of transferable skills and cross-disciplinary competences in the range of short courses or workshops with a maximum duration of 3 days. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 900-0101-DRL | Transferable Skills Course II (1-3 days) Only for doctoral students. Please select your doctoral thesis supervisor as a lecturer and prove your participation with the appropriate certificate. | W | 1 credit | 2S | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Acquisition of transferable skills and cross-disciplinary competences in the range of short courses or workshops with a maximum duration of 3 days. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Acquisition of transferable skills and cross-disciplinary competences in the range of short courses or workshops with a maximum duration of 3 days. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 900-0102-DRL | Transferable Skills Course III (1-3 days) Only for doctoral students. Please select your doctoral thesis supervisor as a lecturer and prove your participation with the appropriate certificate. | W | 1 credit | 2S | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Acquisition of transferable skills and cross-disciplinary competences in the range of short courses or workshops with a maximum duration of 3 days. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Acquisition of transferable skills and cross-disciplinary competences in the range of short courses or workshops with a maximum duration of 3 days. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 900-0103-DRL | Transferable Skills Course I (1-3 days, with Poster or Talk) Only for doctoral students. Please select your doctoral thesis supervisor as a lecturer and prove your participation with the appropriate certificate. | W | 2 credits | 4S | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Acquisition of transferable skills and cross-disciplinary competences in the range of short courses or workshops with a maximum duration of 3 days. Participants need to present either a poster or a talk at this occasion. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Acquisition of transferable skills and cross-disciplinary competences in the range of short courses or workshops with a maximum duration of 3 days. Participants need to present either a poster or a talk at this occasion. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 900-0104-DRL | Transferable Skills Course II (1-3 days, with Poster or Talk) Only for doctoral students. Please select your doctoral thesis supervisor as a lecturer and prove your participation with the appropriate certificate. | W | 2 credits | 4S | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Acquisition of transferable skills and cross-disciplinary competences in the range of short courses or workshops with a maximum duration of 3 days. Participants need to present either a poster or a talk at this occasion. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Acquisition of transferable skills and cross-disciplinary competences in the range of short courses or workshops with a maximum duration of 3 days. Participants need to present either a poster or a talk at this occasion. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 900-0105-DRL | Transferable Skills Course III (1-3 days, with Poster or Talk) Only for doctoral students. Please select your doctoral thesis supervisor as a lecturer and prove your participation with the appropriate certificate. | W | 2 credits | 4S | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Acquisition of transferable skills and cross-disciplinary competences in the range of short courses or workshops with a maximum duration of 3 days. Participants need to present either a poster or a talk at this occasion. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Acquisition of transferable skills and cross-disciplinary competences in the range of short courses or workshops with a maximum duration of 3 days. Participants need to present either a poster or a talk at this occasion. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 900-0106-DRL | Transferable Skills Course I (1 week) Only for doctoral students. Please select your doctoral thesis supervisor as a lecturer and prove your participation with the appropriate certificate. | W | 2 credits | 4S | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Acquisition of transferable skills and cross-disciplinary competences in the range of courses or workshops with a minimum duration of 1 week. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Acquisition of transferable skills and cross-disciplinary competences in the range of courses or workshops with a minimum duration of 1 week. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 900-0107-DRL | Transferable Skills Course II (1 week) Only for doctoral students. Please select your doctoral thesis supervisor as a lecturer and prove your participation with the appropriate certificate. | W | 2 credits | 4S | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Acquisition of transferable skills and cross-disciplinary competences in the range of courses or workshops with a minimum duration of 1 week. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Acquisition of transferable skills and cross-disciplinary competences in the range of courses or workshops with a minimum duration of 1 week. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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