Computer science: Programming, Algorithms and Data Structures. Our innovative courses such as machine learning, medical technology, molecular medicine, geoecology, nano-science, media informatics, sports management and Islamic theology. Which other subjects can I combine with my main subject? The CS department places strong emphasis on interdisciplinary cooperation with other university departments, in particular medicine, biology, psychology, and media studies, and also with the three Max Planck Institutes located in Tübingen. If you have questions on the program or the admission requirements, please first check the webpages above and only if your question is not answered there, then contact: If you have any questions concerning the application portal or organisation of your studies, please contact the students' advisory service. His research interests are in machine learning, statistics and optimization and the application of machine learning … None comments Contents General Overview Research Directions in Tübingen Options outside of University Some personal notes Decision Guide None No comments. about. Machine learning is at the heart of a technological and societal revolution, although today’s learning systems do not generalize well to new situations, cannot learn … Lifelong learning; Quicklinks All Degree Programs; ALMA Portal; Excellence Initiative; Staff Search (EPV) Student Administration; University Library; Online Course Catalogue; Webmail Uni Tübingen; Advice for International Students; Cluster of Excellence – Machine Learning for Science Cluster of Excellence – Machine Learning for Science. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics and they form together one of leading research hubs for machine learning in Europe and world-wide. None, Regular duration of studies In addition, some departments have their own subject-specific services providing information on studying abroad. Advice and internships The University’s Career Service assists with careers orientation and getting started in your profession. Which requirements must I meet for studies? Back; Team. Lifelong learning; Quicklinks All Degree Programs; ALMA Portal; Excellence Initiative; Staff Search (EPV) Student Administration; University Library; Online Course Catalogue; Webmail Uni Tübingen; Advice for International Students; Cluster of Excellence – Machine Learning for Science Cluster of Excellence – Machine Learning for Science. University of Tübingen, Cluster of Excellence "Machine Learning" Maria-von-Linden-Str. University of Tübingen Department of Computer Science Maria von Linden Str. At the core of this revolution are breakthroughs in the field of machine learning which allow machines to perform tasks that, until recently, could only be performed by humans. It is mostly inspired by Yoshua Bengio's talk at NeurIPS 2019 with some personal inputs. The course consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning General Computer Science and Expanded Perspectives. Department of Computer Science Sand 14 72076 Tübingen +49 7071 29 76361 +49 7071 29 5719, Studying at the Department of Computer Science, Geschwister-Scholl-Platz 72074 Tübingen Germany, © 2020 Eberhard Karls Universität Tübingen, Tübingen. After completing her PhD at the INRIA Rhone Alpes with Prof Cordelia Schmid (2014), she worked as a post-doctoral researcher at the Max Planck Institute for Informatics with Prof Bernt Schiele (2014-17) and at University of California Berkeley with Prof Trevor Darrell (2016-17). Since this is a highly demanding area, a PhD degree is often required. Back; Team. The students who takes this course in Tübingen … compositionality. Develop an algorithm to automate the picking plan for mushroom clusters. Home. University of Tübingen Proseminar: Machine Learning. In the first semester Mathematics for Machine Learning, and Data Literacy are recommended modules, followed by Statistical Learning, Probabilistic Inference and Learning and Deep Learning in the next semester. University of Tübingen Multiple locations . ICML 2019 Best Paper Award for Researchers from Tübingen, Search for persons at the University (EPV), Winter semester (no intake in the summer semester), Help to protect the European Research Council (ERC) from budget cuts which threaten the most prestigious and effective European research program by signing this, Mila Gorecki, student in the master program Machine Learning, won the, 23 papers at ICML and CVPR 2020 from Tübingen (11 ICML, 12 CVPR), Information about Tuebingen (housing, language classes etc) for International Students can be found, Congratulations to Bernhard Schölkopf for the, 24 papers from Tübingen accepted at NeurIPS 2019. San Diego, California Research Scholar in the Systems Biology Research Group at UCSD Research Education Eberhard-Karls-Universität Tübingen / University of Tuebingen 2006 — 2011 Dr. rer. transcripts, and two reference letters of your application to the Cambridge PhD programme in Advanced Machine Learning … Overview of application deadlines, Program start nach Vereinbarung. Bachelor degree in subject related to machine learning i.e. Eye-tracking technology has found its way into many fields of research and applications, enabling sensing of the visual behavior in mobile, outdoor settings. Summer term 2015: Machine learning (Master CS and Maths, 4 + 2 SWS). Back; Open Positions; People.  T. Mitchell, Machine Learning, McGraw Hill, 1997  A. Ng, M. Jordan, Y. Weiss, On Spectral Clustering: Analysis and an algorithm, NIPS 14, 2001  L. Rabiner, A Tutorial on Hidden Markov … Application deadline for international (non-EU) citizens as well as German and EU citizens: 30 April. Assignments (only accessible for … Wilhelmstr. Erasmus-Programme (e.g. The purpose of this post is to give an overview of the Machine Learning … The genius loci - the spirit of the place - is now stronger than ever. Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning and MSc. Science, Restricted admission Back; Open Positions; People. Winter term 2014/15: Algorithms and Data Structures (Bachelor CS, 3+1 SWS) Summer term 2014: Machine learning (Master CS and Maths, 4 + 2 SWS). Summer 2015: Statistical Learning Theory, course for the machine learning summer school, Tuebingen, Germany. We know from animal experiments that new memories are reactivated during sleep. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics and they form together one of leading research hubs for machine learning in Europe and world-wide. Beschreibung: Maschinelle Lernverfahren spielen in eine wichtige Rolle bei der Datenanalysen und Modellierung sowohl in der Industrie als auch in der Forschung. Uppsala, Schweden). Furthermore it offers an easy and informal way to come together and get in touch with other students. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. We welcome Zeynep Akata as new professor of computer science! The pipeline can either use a first dataset for training the model and a second for validation, or perform a nested k-fold cross-validation on a single dataset. Machine learning (ML) algorithms play an important role in data analysis and modeling both in science and industry. Zeit. conscious reasoning. Machine learning is a key technology of the 21st century. Home. Research. The course is designed to run alongside an analogous course on Statistical Machine Learning (taught, in the Summer of 2020, by Prof. Dr. Ulrike von Luxburg). The Master’s program in machine learning is research-oriented and will enable graduates to analyze, implement, leverage, and modify techniques of machine learning. Examination and grades: Diploma students can request an examination on this course … To help you decide whether Tübingen is right for you, here are some contact points and information on studying in Germany: Due to very fast technological developments in handling large amounts of data and apply findings in a wide variety of applications, there is an ever growing need for specialists in machine learning. English, Costs Tübingen, Germany. On what criteria are applicants selected? His research interests are in machine learning, statistics and optimization and the application of machine learning to problems in bioinformatics, computer vision and other fields in computer science and the natural sciences. Optional time abroad You may choose to spend some time abroad as part of any study program. 4 semester, Is a combination subject required? Faculty Courses are held in English. The institute is situated in one of the traditional German university towns of Tübingen, Baden-Württemberg, which famous for its boat trips and the marvelous architecture of its old town Hölderlin. This includes a critical discussion of research goals, contents, proposals, and research problems, and requires a high scientific level. zeynep.akata at uni-tuebingen.de (+49) 07071 29 70890 Office: 40-30/A24, Maria von Linden Straße 6 Profile Publications Research Teaching Students. Tübingen AI Center aims to build learning systems that approach the versatility and robustness exhibited by natural intelligent systems. The University of Tübingen Eberhard Karls is a respected academic authority in humanities, natural sciences and theology. Please arrange for a cv, a motivation letter, BSc. Machine learning algorithms are never perfect - yet some of them can be proven to survive some basic suitability tests, while others do not. ML algorithms learn a program that solves a specific problem by looking at data that characterizes it. I am also a fellow at the Max Planck Institute for Intelligent Systems. Theory of Machine Learning ... How to find us; Teaching Winter term 2020/21. 1-2 PhD Positions (m/f/d; E 13 TV-L, 65% - 36 Months) to be filled ideally in early 2021. Jobs and internships can be found in the Praxisportal. We maintain exchanges with partners around the globe - both at institutions of higher education and at non-university research institutions. Human-Computer Interaction. At least one practical course and one seminar are recommended for the second or third semester. wird in der Vorbesprechung festgelegt. Graduates in this international Master's program will be competent in all basic and many advanced areas of machine learning, understanding and suitably applying this increasingly essential tool for dealing with large datasets, be it in science, industry or alternative domains. Close • Posted by 12 minutes ago. 6, D-72076 Tübingen ... We seek to use insights from human cognition to improve machine learning methods, while also using advances in machine learning as tools for understanding human intelligence. The University of Tübingen explains the chances of the new technology and why it is so important that there is independent and … The University aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply.