nach Vereinbarung. Press J to jump to the feed. In the winter term 2020/21 about 2090 students study at the Department of Computer Science: You can find a formal description of the degree here. 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. 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). The University of Tübingen Eberhard Karls is a respected academic authority in humanities, natural sciences and theology. Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. Which topics are dealt with in the program? 6. University of Tübingen Department of Computer Science Maria von Linden Str. ML algorithms learn a program that solves a specific problem by looking at data that characterizes it. Back; Open Positions; People. Many great intellectuals have studied and worked in Tübingen - including Kepler, Hegel, Hölderlin, and Schelling. 11, 72074 Tübingen zsbspam firstname.lastname@example.org +49 7071 29-72555, E-Mail: studyspam email@example.com Phone: +49 7071 29-76833, Application and admission of international students, All contact persons, responsibilities and opening hours, FAQ / Frequently asked questions of international applicants, If you have questions concerning your application or your admission, please contact Prof. Dr. Matthias Hein +49-(0)7071-29-70831 E-Mail, If you have any questions concerning the process or organisation of your studies, please contact the students' advisory service: studienberatungspam firstname.lastname@example.org. Tuition and other fees. Excellent research and teaching are Tübingen’s answer to the challenges of the future in a globalized world. I just wrote this piece which proposes an introduction to 3 challenges facing current machine learning: out-of-distribution generalization. Human-Computer Interaction. The course requires a basic knowledge of machine learning methods and the underlying mathematical and statistical instruments. … Machine Learning The area of Machine Learning introduces key concepts of the field. Questions can be directed to email@example.com. Maria von Linden Str. positions . Examination and grades: Diploma students can request an examination on this course in a usual manner and in any reasonable combination with another course. This manifests in several recent initiatives: These initatives provide plenty of opportunities for research as well as industry contacts for the students of our master program. Phone: +49 (0)7071 29-70832. Depending on the course selection, the master program qualifies for doctoral studies in Computer Science. The Master’s program in machine learning is research-oriented and will enable graduates to analyze, implement, leverage, and modify techniques of machine learning. Welcome to our International Master's Program in Machine Learning! Bachelor degree in subject related to machine learning i.e. Computer science: Programming, Algorithms and Data Structures. Home. A subreddit dedicated to learning machine learning. University Tuebingen, Machine Learning Group, Department of Computer Science, Max Planck Ring 4, 72076 Tuebingen, Germany Computer science in Tübingen is one of the leading CS departments in Germany in terms of research, and it is internationally renowned. Statistical Machine Learning (Summer term 2020) Quick links (publically available): youtube channel for the videos Slides Course material Slides: Latest version, updated 2020-08-19: pdf Videos: The videos of the lecture can all be found on youtube. Liebherr-Elektronik GmbH funds research project at the University of Tübingen. 72076 Tübingen. uni-tuebingen… 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). University of Tübingen. Since the field is obviously very young and currently developing extremely rapidly, training will naturally be based on the most recent insights and the most pressing research questions of these teaching researchers. The programme consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning, General Computer Science, and Expanded Perspectives. Summer 2015: Statistical Learning Theory, course for the machine learning summer school, Tuebingen, Germany. You should start planning it 12 to 18 months before your departure. University of Tübingen. Dozent. 6 72076 Tübingen Germany Room: 30-5/A24 Phone: +49 (0)7071 29-70832 E-mail: ulrike.luxburg(at)uni-tuebingen.de. 4 LP. Head of Examination Board and Course Director, © 2020 Eberhard Karls Universität Tübingen, Tübingen, Preparatory Course Informatics for Life Scientists, Course List for the Wintersemester 2020/2021, Max Planck Institute for Intelligent Systems, Max Planck Institute for Biological Cybernetics, Excellence Cluster ``Machine Learning: New Perspectives for Science'', International Max Planck Research School for Intelligent Systems, German Conference on Pattern Recognition (28.9.-1.10.2020), Zeynep Akata and Andreas Geiger were awarded ERC Starting Grants. Welcome to our International Master's Program in Machine Learning! Statistical Machine Learning (Summer term 2020) Quick links (publically available): youtube channel for the videos Slides Course material Slides: Latest version, updated 2020-08-19: pdf Videos: The videos … The Study Program Machine Learning ️ at University of Tübingen All info for international students (undefined/undefined) Important: Covid-19 update for international students StudyFinder The international Master’s program in machine learning offers a wide choice of courses in computer science and, apart from a few mandatory courses, allows students to choose their subjects according to interest. Intro to Deep Learning from Andreas Geiger At University of Tuebingen. 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). Image Processing, Computer Vision, and Machine Learning applications See also our research webpage. by SoP | May 25, 2017 | News | 0 comments. Develop an algorithm to automate the picking plan for mushroom clusters. Home. Optional time abroad You may choose to spend some time abroad as part of any study program. 6 72076 Tübingen Germany Room: 30-5/A10 Phone: +49 (0)7071 29-70847 E-mail: debarghya.ghoshdastidar(at)uni-tuebingen.de ghoshdas(at)informatik.uni-tuebingen.de At least one practical course and one seminar are recommended for the second or third semester. Please use the subject line “Cambridge-Tuebingen PhD fellowship” in your email to firstname.lastname@example.org. Project work and the Master’s thesis will offer students the opportunity to develop code for research purposes and their own scientific projects. Summer term 2015: Machine learning (Master CS and Maths, 4 + 2 SWS). 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. Erasmus-Programme (e.g. 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. I am also a fellow at the Max Planck Institute for Intelligent Systems. Liebherr-Elektronik GmbH and the University of Tübingen are researching efficient machine learning … None, Regular duration of studies about our group. contact. 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. The student association is involved in many organizational issues. Welcome to our International Master's Program in Machine Learning! 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 … This playlist collects the lectures on Probabilistic Machine Learning by Philipp Hennig at the University of Tübingen during the Summer Term of 2020. 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. wird in der Vorbesprechung festgelegt. E-mail: ulrike.luxburg (at)uni … This manifests in several recent initiatives: These initatives provide plenty of opportunities for research as well as industry contacts for the students of our master program. During his Ph.D., he spent three months as a visiting researcher at TU-Graz in Austria. Research. Education in problem solving capabilities is a central training objective. Science, Restricted admission Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision … We welcome Zeynep Akata as new professor of computer science! Students will attend lectures, seminars, and project lab courses under the supervision of scientists who introduce them to basic and applied research and current topics in machine learning. In addition, some departments have their own subject-specific services providing information on studying abroad. Research group on theory of machine learning. Machine Learning, Explainable AI, Multimodal Learning, Zero-Shot Learning, Computer Vision, University of Tuebingen, Uni Tübingen, Max Planck Institute. code. 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. 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. papers. Lecture Mathematics for Machine Learning (MSc, 4+2 SWS) Research seminar "Machine Learning Theory" (runs constantly) Future In Summer 2021, I will teach the Bachelor course on Theoretical Computer Science (BSc, 4+2 SWS). None comments Contents General Overview Research Directions in Tübingen Options outside of University Some personal notes Decision Guide None No comments. Admission to the international Master’s program in Machine Learning is not admission-restricted, but all students, including those holding a Bachelor’s degree in Computer Science, are requested to submit a formal application. Videos, Assignments and Solutions. The University of Tübingen explains the chances of the new technology and why it is so … Germany. University of Tübingen neuroscientists use machine learning algorithm to show that the brain actively reprocesses previously learned information during sleep, strengthening memory . 4 semester, Is a combination subject required? Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning  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 … English, Costs In this whole Master program, besides professional expertise, graduates will also acquire language skills and intercultural competence due to the program’s international nature – another requirement of the international job market, both in academia and without. This includes a critical discussion of research goals, contents, proposals, and research problems, and requires a high scientific level. The course consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning General Computer Science and Expanded Perspectives. The University of Tübingen explains the chances of the new technology and why it is so important that there is independent and … Tübingen, Germany. Go here to check if you are eligible and know more about the application details. Back; Team. On what criteria are applicants selected? zeynep.akata at uni-tuebingen.de (+49) 07071 29 70890 Office: 40-30/A24, Maria von Linden Straße 6 Profile Publications Research Teaching Students. Information about the Alumni of Tübingen. 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. Uppsala, Schweden). 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. Here you will find general information and advice on studying abroad. 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. Before moving to Tübingen in October 2019, she was an assistant professor at the University of Amster… A Bachelor's degree (or equivalent) in either computer science, mathematics, physics or related natural sciences with a grade of at least 2.3 (German grading system). Please arrange for a cv, a motivation letter, BSc. Umfang . Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. 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. 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. Examination and grades: Diploma students can request an examination on this course … University of Tübingen Department of Computer Science Maria von Linden Str. In the first semester, Mathematics for Machine Learning, Deep Learning and Data Literacy … Datum: Thema: Betreuung: Referent(in) 19.04.2005: Classification of Machine Learning Methods: Alexander Sung-26.04.2005 For further information see the website Faculty of Science - Doctoral Studies. Faculty All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. Applicants must provide adequate proof of English proficiency, documented by one of the following documents: The Machine Learning program cannot be complemented with a minor subject. The amount of work covered by this course constitute 2 SWS for lectures and 1 SWS for graded exercises. The University of Tübingen, with its more than 500 years of history, is one of Germany’s oldest. Tübingen AI Center aims to build learning systems that approach the versatility and robustness exhibited by natural intelligent systems. Machine learning algorithms are never perfect - yet some of them can be proven to survive some basic suitability tests, while others do not. Applicants should have or expect to soon obtain, a PhD (or equivalent) in a relevant area. Assignments (only accessible for … University of Tübingen Multiple locations . Back; Team. Excellent research and teaching are Tübingen’s answer to … Press question mark to learn the rest of the keyboard shortcuts ... Tutorial. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. The genius loci - the spirit of the place - is now stronger than ever. Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision-making processes. University of Tübingen, Cluster of Excellence "Machine Learning" Maria-von-Linden-Str. 08.07.2020. Software engineering in robotics. Theory of Machine Learning ... How to find us; Teaching Winter term 2020/21. Since this is a highly demanding area, a PhD degree is often required. Zeynep Akata Professor. We know from animal experiments that new memories are reactivated during sleep. University of Tübingen Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. and MSc. The purpose of this post is to give an overview of the Machine Learning … Which requirements must I meet for studies? His research interests are in machine learning, statistics and optimization and the application of machine learning … Application deadline for international (non-EU) citizens as well as German and EU citizens: 30 April. @ Max Planck Institute for Intelligent Systems and University of Tuebingen . 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. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. Machine learning is a key technology of the 21st century. We developed an automated pipeline that uses state-of-the-art machine learning algorithms to create a disease risk model based on a given GWAS SNP dataset and assesses its predictive performance for unseen datasets. Which other subjects can I combine with my main subject? Close • Posted by 12 minutes ago. Less prominently discussed, developments in machine learning have the potential to transform science at an equally fundamental level. Courses are held in English. The next intake will be for the winter semester 2021/2022 with application deadline on 30.4.2021. The students who takes this course in Tübingen … transcripts, and two reference letters of your application to the Cambridge PhD programme in Advanced Machine Learning … Accordingly, Dr. Konstantin Genin, leader of the "Ethics and Epistemology" research group in the Cluster of Excellence: "Machine Learning - New Perspectives for Science" at the University of Tübingen, advertises. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. 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. Developing a machine-learning algorithm for mushroom orientation estimation. It is mostly inspired by Yoshua Bengio's talk at NeurIPS 2019 with some personal inputs. conscious reasoning. Students have the opportunity to advance their knowledge and skills to a level which will allow them to get involved in top national and international research in bioinformatics and its application to the life sciences. 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. I am a professor for computer science, with research focus on the theory of machine learning. about. No, Application deadline 1st semester As interdisciplinarity is an important aspect, the Master’s thesis can be supervised by a professor from any subfield of computer science. Welcome to our International Master's Program in Machine Learning! 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 … Eye-tracking technology has found its way into many fields of research and applications, enabling sensing of the visual behavior in mobile, outdoor settings. 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The department collaborates with major enterprises and research institutes both nationally and internationally. Machine learning (ML) algorithms play an important role in data analysis and modeling both in science and industry. 2 SWS bzw. The University of Tübingen is one of the most prestigious research universities worldwide. Department of Computer Science. Machine learning is a key technology of the 21st century. In particular, competences from the following areas are required, equivalent in content and scope to those in the BSc course in Computer Science in Tübingen: Applicants must also provide adequate proof of English proficiency. 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. Johannes Eichner, Lars Rosenbaum: Sprechstunde. Our innovative courses such as machine learning, medical technology, molecular medicine, geoecology, nano-science, media informatics, sports management and Islamic theology. Show more Show less. The University of Tübingen was founded in 1477 by Count Eberhard V (Eberhard im Bart, 1445–1496), later the first Duke of Württemberg, a civic and ecclesiastic reformer who established the school after becoming absorbed in the Renaissance revival of learning during his travels to Italy. University of Tübingen > Computer Science > Groups > Theory of Machine Learning. GW] on different European master's programs related to artificial intelligence and machine learning. Overview of application deadlines, Program start Zeit. German Abitur certificate with proof of 6 (G8) or 7 years (G9) of English language instruction, Cambridge Certificate in Advanced English (CAE), Higher education entrance qualification from Great Britain, Ireland, USA, Canada, Australia, New Zealand, Bioinformatik Bachelor of Science: 107, Bioinformatik/Bioinformatics Master of Science: 122, Bioinformatik Promotion: 32, Informatik Bachelor of Science Hauptfach: 676, Informatik Bachelor of Science Nebenfach: 68, Informatik Master of Science: 257, Informatik Promotion: 110, Informatik Bachelor of Education: 75, Informatik Bachelor of Education berufl LA: 2, Informatik Master of Education: 9, Informatik Vorleistungen Erweiterungsfach: 6, Erweiterungsprüfung: 6, Informatik Lehramt: 1, Kognitionswissenschaft Bachelor of Science: 243, Kognitionswissenschaft Master of Science: 126, Kognitionswissenschaft Promotion: 19, Medieninformatik Bachelor of Science: 143, Medieninformatik Master of Science: 53, Medizininformatik Bachelor of Science: 89, Medizininformatik/Medical Informatics Master of Science: 15. Below, you will find all the information you will need. The University aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply. people. compositionality. Zeynep Akata is a professor of Computer Science within the Cluster of Excellence Machine Learning at the University of Tübingen. degree in mathematics from the Saarland University in Germany in 2010, and the Ph.D. degree in mathematics from the University of Freiburg in 2015. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … Advice and internships The University’s Career Service assists with careers orientation and getting started in your profession. Sleep helps us to retain the information that we have learned during the day. We maintain exchanges with partners around the globe - both at institutions of higher education and at non-university research institutions. Winter semester, Language of instruction 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. 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. It provides an introduction to core concepts of machine learning from the probabilistic perspective (the lecture titles below give a rough overview of the contents). Thus, ethical discussion on the responsible usage of data is of growing importance. For example, one might be able to prove that an algorithm is statistically consistent: when the algorithm gets to see an infinite amount of data, its prediction performance is going to converge to the best possible one. The course requires a basic knowledge of machine learning methods and the underlying mathematical and statistical instruments. University of Tübingen Proseminar: Machine Learning. Beschreibung: Maschinelle Lernverfahren spielen in eine wichtige Rolle bei der Datenanalysen und Modellierung sowohl in der Industrie als auch in der Forschung. The master thesis is recommended for the fourth semester. Research group on theory of machine learning. Wilhelmstr. ... University … Our research group at Max Planck Institute Tuebingen for Intelligent Systems and Cyber Valley focuses on developing practical algorithms for privacy preserving machine learning. Furthermore it offers an easy and informal way to come together and get in touch with other students. 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.