Thus, ethical discussion on the responsible usage of data is of growing importance. 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. Project work and the Master’s thesis will offer students the opportunity to develop code for research purposes and their own scientific projects. 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). In addition, some departments have their own subject-specific services providing information on studying abroad. 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. 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. Since this is a highly demanding area, a PhD degree is often required. Phone: +49 (0)7071 29-70832. Show more Show less. Developing a machine-learning algorithm for mushroom orientation estimation. Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. Brief Bio: Peter Ochs received the M.Sc. Welcome to our International Master's Program in Machine Learning! conscious reasoning. We know from animal experiments that new memories are reactivated during sleep. University of Tübingen Department of Computer Science Maria von Linden Str. 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). The studies program deals both with generic methods and their applications to specific fields, making it highly relevant for new career and job market purposes. Liebherr-Elektronik GmbH funds research project at the University of Tübingen. 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. Excellent research and teaching are Tübingen’s answer to … In the first semester, Mathematics for Machine Learning, Deep Learning and Data Literacy … Many great intellectuals have studied and worked in Tübingen - including Kepler, Hegel, Hölderlin, and Schelling. Science, Restricted admission wird in der Vorbesprechung festgelegt. Germany. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. Advice and internships The University’s Career Service assists with careers orientation and getting started in your profession. 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. about our group. As interdisciplinarity is an important aspect, the Master’s thesis can be supervised by a professor from any subfield of computer science. The University of Tübingen is one of the most prestigious research universities worldwide. To pick up on scientific trends and make the best use of the current state of research, the curriculum relies heavily on the strong research presence on site, in machine learning as well as the wider field of computer science: top-level researchers in all major methodological branches of machine learning are present in Tübingen – personnel that will actively engage in teaching for the Master’s Program Machine Learning. Machine learning is a key technology of the 21st century. 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. 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 … 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. His research interests are in machine learning, statistics and optimization and the application of machine learning … 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. 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. Before moving to Tübingen in October 2019, she was an assistant professor at the University of Amster… This playlist collects the lectures on Probabilistic Machine Learning by Philipp Hennig at the University of Tübingen during the Summer Term of 2020. University of Tübingen Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. 72076 Tübingen. about. Back; Team. Application deadline for international (non-EU) citizens as well as German and EU citizens: 30 April. You should start planning it 12 to 18 months before your departure. and MSc. 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. Overview of application deadlines, Program start Erasmus-Programme (e.g. 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. A subreddit dedicated to learning machine learning. 08.07.2020. Machine learning algorithms are never perfect - yet some of them can be proven to survive some basic suitability tests, while others do not. positions . 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. 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 University of Tübingen explains the chances of the new technology and why it is so … Image Processing, Computer Vision, and Machine Learning applications See also our research webpage. Computer science in Tübingen is one of the leading CS departments in Germany in terms of research, and it is internationally renowned. transcripts, and two reference letters of your application to the Cambridge PhD programme in Advanced Machine Learning … Courses are held in English. Since machine-learning algorithms are tremendously useful in many engineering areas, such as complex oil and gas processes, Dr. Akhil Datta-Gupta is leading Texas A&M University's participation in a multi-university … Room: 30-5/A24. 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. The amount of work covered by this course constitute 2 SWS for lectures and 1 SWS for graded exercises. 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. Furthermore it offers an easy and informal way to come together and get in touch with other students. 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. Research. 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 … Back; Open Positions; People. Welcome to our International Master's Program in Machine Learning! 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. The University of Tübingen explains the chances of the new technology and why it is so important that there is independent and … 11, 72074 Tübingen zsbspam prevention@uni-tuebingen.de   +49 7071 29-72555, E-Mail: studyspam prevention@uni-tuebingen.de    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 prevention@informatik.uni-tuebingen.de. Back; Team. 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). 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. I just wrote this piece which proposes an introduction to 3 challenges facing current machine learning: out-of-distribution generalization. Tübingen AI Center aims to build learning systems that approach the versatility and robustness exhibited by natural intelligent systems. Machine Learning The area of Machine Learning introduces key concepts of the field. For further information see the website Faculty of Science - Doctoral Studies. Which requirements must I meet for studies? We welcome Zeynep Akata as new professor of computer science! All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. 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. Videos, Assignments and Solutions. Sleep helps us to retain the information that we have learned during the day. Bachelor degree in subject related to machine learning i.e. I am a professor for computer science, with research focus on the theory of machine learning. 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. 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 Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … 6. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … Which other subjects can I combine with my main subject? 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. Uppsala, Schweden). Liebherr-Elektronik GmbH and the University of Tübingen are researching efficient machine learning … 6 72076 Tübingen Germany Room: 30-5/A24 Phone: +49 (0)7071 29-70832 E-mail: ulrike.luxburg(at)uni-tuebingen.de. Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning Our research group at Max Planck Institute Tuebingen for Intelligent Systems and Cyber Valley focuses on developing practical algorithms for privacy preserving machine learning. 4 semester, Is a combination subject required? E-mail: ulrike.luxburg (at)uni … 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 … 2 SWS bzw. Coronavirus research at the University of Tübingen, Corona virus: Information for researchers, Studiengänge in Kooperation mit anderen Universitäten, Master’s studies at the University of Tübingen, Schlüsselqualifikationen: Das Studium Professionale, Doctoral studies at the University of Tübingen, Progressing successfully through your studies, Transregional Collaborative Research Centers (CRC-TRRs), Funding and support for junior researchers, I – Development, Structure and Legal Affairs, Division VIII – Construction, Safety, and Environment, Center for Interdisciplinary and Intercultural Studies, Dr. Eberle Zentrum für digitale Kompetenzen, European Research Center on Contemporary Taiwan, Informations-, Kommunikations- und Medienzentrum (IKM), International Center for Ethics in the Sciences and Humanities, Zentrum für Evaluation und Qualitätsmanagement, Center for Gender and Diversity Research (ZGD), Ansprechpersonen für Fragen im Zusammenhang mit sexueller Belästigung, Programs and modules for international students, Getting started and orientation for international students, Corona virus: Information for students from abroad (incomings), After your studies for international students, Advice and counseling for international students, Coronavirus: Informationen für Tübinger Studierende im Ausland (Outgoings), 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, general information and advice on studying abroad, University of Tübingen’s international profile, Contact: University office for the Advising and Admission of International Students, Information on application for international students, Addresses and contact points for international students at the University of Tübingen, Study and conduct research in Germany (DAAD information), Search for persons at the University (EPV), Mathematics: one- and multidimensional analysis, linear algebra and either numerics or stochastic. University of Tübingen > Computer Science > Groups > Theory of Machine Learning. uni-tuebingen… Theory of Machine Learning ... How to find us; Teaching Winter term 2020/21. The University of Tübingen Eberhard Karls is a respected academic authority in humanities, natural sciences and theology. University of Tübingen, Cluster of Excellence "Machine Learning" Maria-von-Linden-Str. 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. papers. It is mostly inspired by Yoshua Bengio's talk at NeurIPS 2019 with some personal inputs. Examination and grades: Diploma students can request an examination on this course in a usual manner and in any reasonable combination with another course. None, Regular duration of studies Press question mark to learn the rest of the keyboard shortcuts ... Tutorial. Press J to jump to the feed. Machine learning (ML) algorithms play an important role in data analysis and modeling both in science and industry. Below, you will find all the information you will need. code. 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. zeynep.akata at uni-tuebingen.de (+49) 07071 29 70890 Office: 40-30/A24, Maria von Linden Straße 6 Profile Publications Research Teaching Students. Which topics are dealt with in the program? Beschreibung: Maschinelle Lernverfahren spielen in eine wichtige Rolle bei der Datenanalysen und Modellierung sowohl in der Industrie als auch in der Forschung. Welcome to our International Master's Program in Machine Learning! 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). 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. Depending on the course selection, the master program qualifies for doctoral studies in Computer Science. Questions can be directed to konstantin.genin@uni-tuebingen.de. Our innovative courses such as machine learning, medical technology, molecular medicine, geoecology, nano-science, media informatics, sports management and Islamic theology. Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. Machine Learning The area of Machine Learning introduces key concepts of the field. The Study Program Machine Learning ️ at University of Tübingen All info for international students (undefined/undefined) Important: Covid-19 update for international students StudyFinder 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). The programme consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning, General Computer Science, and Expanded Perspectives. Examination and grades: Diploma students can request an examination on this course … University Tuebingen, Machine Learning Group, Department of Computer Science, Max Planck Ring 4, 72076 Tuebingen, Germany Research group on theory of machine learning. During his Ph.D., he spent three months as a visiting researcher at TU-Graz in Austria. Human-Computer Interaction. Zeynep Akata Professor. Jobs and internships can be found in the Praxisportal. GW] on different European master's programs related to artificial intelligence and machine learning. Intro to Deep Learning from Andreas Geiger At University of Tuebingen. Back; Open Positions; People. compositionality. Develop an algorithm to automate the picking plan for mushroom clusters. 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. 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. 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. University of Tübingen neuroscientists use machine learning algorithm to show that the brain actively reprocesses previously learned information during sleep, strengthening memory . nach Vereinbarung. 4 LP. 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 The students who takes this course in Tübingen … 1-2 PhD Positions (m/f/d; E 13 TV-L, 65% - 36 Months) to be filled ideally in early 2021. The student association is involved in many organizational issues. Applicants should have or expect to soon obtain, a PhD (or equivalent) in a relevant area. The next intake will be for the winter semester 2021/2022 with application deadline on 30.4.2021. I am also a fellow at the Max Planck Institute for Intelligent Systems. Home. Please arrange for a cv, a motivation letter, BSc. The course requires a basic knowledge of machine learning methods and the underlying mathematical and statistical instruments. The University aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply. This includes a critical discussion of research goals, contents, proposals, and research problems, and requires a high scientific level. 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. 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. [8] T. Mitchell, Machine Learning, McGraw Hill, 1997 [9] A. Ng, M. Jordan, Y. Weiss, On Spectral Clustering: Analysis and an algorithm, NIPS 14, 2001 [10] L. Rabiner, A Tutorial on Hidden Markov … The master thesis is recommended for the fourth semester. University of Tübingen. Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision-making processes. Optional time abroad You may choose to spend some time abroad as part of any study program. University of Tübingen Department of Computer Science Maria von Linden Str. Home. The department collaborates with major enterprises and research institutes both nationally and internationally. University of Tübingen Multiple locations . 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.

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