Search result: Course units in Autumn Semester 2019
Data Science Master ![]() | ||||||
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Number | Title | Type | ECTS | Hours | Lecturers | |
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252-0535-00L | Advanced Machine Learning ![]() | W | 8 credits | 3V + 2U + 2A | J. M. Buhmann | |
227-0423-00L | Neural Network Theory | W | 4 credits | 2V + 1U | H. Bölcskei, E. Riegler | |
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Number | Title | Type | ECTS | Hours | Lecturers | |
401-3621-00L | Fundamentals of Mathematical Statistics ![]() | W | 10 credits | 4V + 1U | S. van de Geer | |
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Number | Title | Type | ECTS | Hours | Lecturers | |
263-3010-00L | Big Data ![]() ![]() | W | 8 credits | 3V + 2U + 2A | G. Fourny | |
263-4500-10L | Advanced Algorithms (with Project) ![]() ![]() Only for Data Science MSc. | W | 8 credits | 2V + 2U + 2P + 1A | M. Ghaffari, A. Krause | |
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Number | Title | Type | ECTS | Hours | Lecturers | |
151-0563-01L | Dynamic Programming and Optimal Control ![]() | W | 4 credits | 2V + 1U | R. D'Andrea | |
227-0101-00L | Discrete-Time and Statistical Signal Processing | W | 6 credits | 4G | H.‑A. Loeliger | |
227-0417-00L | Information Theory I | W | 6 credits | 4G | A. Lapidoth | |
227-0427-00L | Signal Analysis, Models, and Machine Learning | W | 6 credits | 4G | H.‑A. Loeliger | |
227-0689-00L | System Identification | W | 4 credits | 2V + 1U | R. Smith | |
252-0417-00L | Randomized Algorithms and Probabilistic Methods | W | 8 credits | 3V + 2U + 2A | A. Steger | |
252-1407-00L | Algorithmic Game Theory ![]() | W | 7 credits | 3V + 2U + 1A | P. Penna | |
252-1414-00L | System Security ![]() | W | 7 credits | 2V + 2U + 2A | S. Capkun, A. Perrig | |
261-5130-00L | Research in Data Science ![]() Only for Data Science MSc. | W | 6 credits | 13A | Professors | |
263-0006-00L | Algorithms Lab ![]() Only for master students, otherwise a special permission by the student administration of D-INFK is required. | W | 8 credits | 4P + 3A | A. Steger | |
263-0007-00L | Advanced Systems Lab ![]() ![]() Limited number of participants. Takes place the last time in this form. Students who repeat the lab have priority. All others have to take the course in the spring semester 20! | W | 8 credits | 4P + 3A | G. Alonso | |
263-2400-00L | Reliable and Interpretable Artificial Intelligence ![]() | W | 5 credits | 2V + 1U + 1A | M. Vechev | |
263-2800-00L | Design of Parallel and High-Performance Computing ![]() ![]() | W | 8 credits | 3V + 2U + 2A | M. Püschel, T. Ben Nun | |
263-3210-00L | Deep Learning ![]() | W | 5 credits | 2V + 1U + 1A | T. Hofmann | |
263-5210-00L | Probabilistic Artificial Intelligence ![]() ![]() | W | 5 credits | 2V + 1U + 1A | A. Krause | |
263-5902-00L | Computer Vision ![]() | W | 7 credits | 3V + 1U + 2A | M. Pollefeys, V. Ferrari, L. Van Gool | |
401-0625-01L | Applied Analysis of Variance and Experimental Design ![]() | W | 5 credits | 2V + 1U | L. Meier | |
401-3055-64L | Algebraic Methods in Combinatorics ![]() | W | 6 credits | 2V + 1U | B. Sudakov | |
401-3601-00L | Probability Theory ![]() At most one of the three course units (Bachelor Core Courses) 401-3461-00L Functional Analysis I 401-3531-00L Differential Geometry I 401-3601-00L Probability Theory can be recognised for the Master's degree in Mathematics or Applied Mathematics. | W | 10 credits | 4V + 1U | A.‑S. Sznitman | |
401-3622-00L | Statistical Modelling ![]() | W | 8 credits | 4G | C. Heinze-Deml | |
401-3627-00L | High-Dimensional Statistics | W | 4 credits | 2V | P. L. Bühlmann | |
401-3901-00L | Mathematical Optimization ![]() | W | 11 credits | 4V + 2U | R. Zenklusen | |
401-3612-00L | Stochastic Simulation Does not take place this semester. | W | 5 credits | 3G | ||
401-4619-67L | Advanced Topics in Computational Statistics Does not take place this semester. | W | 4 credits | 2V | not available | |
401-4623-00L | Time Series Analysis Does not take place this semester. | W | 6 credits | 3G | N. Meinshausen | |
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Number | Title | Type | ECTS | Hours | Lecturers | |
227-1033-00L | Neuromorphic Engineering I ![]() ![]() Registration in this class requires the permission of the instructors. Class size will be limited to available lab spots. Preference is given to students that require this class as part of their major. | W | 6 credits | 2V + 3U | T. Delbrück, G. Indiveri, S.‑C. Liu | |
227-0421-00L | Learning in Deep Artificial and Biological Neuronal Networks | W | 4 credits | 3G | B. Grewe | |
227-0945-00L | Cell and Molecular Biology for Engineers I This course is part I of a two-semester course. | W | 3 credits | 2G | C. Frei | |
261-5100-00L | Computational Biomedicine ![]() ![]() Number of participants limited to 60. | W | 5 credits | 2V + 1U + 1A | G. Rätsch, V. Boeva, N. Davidson | |
261-5112-00L | Advanced Approaches for Population Scale Compressive Genomics ![]() Number of participants limited to 30. | W | 3 credits | 2G | A. Kahles | |
636-0017-00L | Computational Biology ![]() | W | 6 credits | 3G + 2A | T. Vaughan, T. Stadler | |
701-0023-00L | Atmosphere ![]() | W | 3 credits | 2V | E. Fischer, T. Peter | |
701-0473-00L | Weather Systems ![]() | W | 3 credits | 2G | M. A. Sprenger, F. S. Scholder-Aemisegger | |
701-1251-00L | Land-Climate Dynamics ![]() ![]() Number of participants limited to 36. | W | 3 credits | 2G | S. I. Seneviratne, E. L. Davin | |
101-0417-00L | Transport Planning Methods | W | 6 credits | 4G | K. W. Axhausen | |
101-0491-00L | Agent Based Modeling in Transportation | W | 6 credits | 4G | T. J. P. Dubernet, M. Balac | |
103-0227-00L | Cartography III ![]() | W | 5 credits | 4G | L. Hurni | |
103-0237-00L | GIS III | W | 5 credits | 3G | M. Raubal | |
103-0778-00L | GIS and Geoinformatics Lab | W | 4 credits | 3P | M. Raubal | |
263-3900-01L | Communication Networks Seminar ![]() ![]() Number of participants limited to 20. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 credits | 2S | A. Singla | |
227-0575-00L | Advanced Topics in Communication Networks (Autumn 2019) ![]() | W | 6 credits | 2V + 2U | L. Vanbever | |
401-3922-00L | Life Insurance Mathematics | W | 4 credits | 2V | M. Koller | |
401-3925-00L | Non-Life Insurance: Mathematics and Statistics ![]() | W | 8 credits | 4V + 1U | M. V. Wüthrich | |
401-3928-00L | Reinsurance Analytics | W | 4 credits | 2V | P. Antal, P. Arbenz | |
401-4889-00L | Mathematical Finance ![]() | W | 11 credits | 4V + 2U | J. Teichmann | |
401-8905-00L | Financial Engineering (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: MFOEC200 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html | W | 6 credits | 4G | University lecturers | |
851-0252-13L | Network Modeling Particularly suitable for students of D-INFK Students are required to have basic knowledge in inferential statistics, such as regression models. | W | 3 credits | 2V | C. Stadtfeld, V. Amati | |
851-0735-09L | Workshop & Lecture Series on the Law & Economics of Innovation ![]() | W | 2 credits | 2S | S. Bechtold, H. Gersbach, A. Heinemann | |
851-0252-15L | Network Analysis Particularly suitable for students of D-INFK, D-MATH | W | 3 credits | 2V | U. Brandes | |
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Number | Title | Type | ECTS | Hours | Lecturers | |
263-3300-00L | Data Science Lab ![]() ![]() Only for Data Science MSc. | O | 14 credits | 9P | A. Krause, C. Zhang | |
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Number | Title | Type | ECTS | Hours | Lecturers | |
252-5051-00L | Advanced Topics in Machine Learning ![]() ![]() Number of participants limited to 40. The deadline for deregistering expires at the end of the fourth week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 credits | 2S | J. M. Buhmann, A. Krause, G. Rätsch | |
263-3504-00L | Hardware Acceleration for Data Processing ![]() The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 credits | 2S | G. Alonso, C. Zhang | |
363-1100-00L | Risk Case Study Challenge ![]() Limited number of participants. Please apply for this course via the official website (www.riskcenter.ethz.ch). Once your application is confirmed, registration in myStudies is possible. | W | 3 credits | 2S | B. J. Bergmann, A. Bommier, S. Feuerriegel, J. Teichmann | |
401-3620-69L | Student Seminar in Statistics: The Art of Statistics ![]() Number of participants limited to 24 Mainly for students from the Mathematics Bachelor and Master Programmes who, in addition to the introductory course unit 401-2604-00L Probability and Statistics, have heard at least one core or elective course in statistics. Also offered in the Master Programmes Statistics resp. Data Science. | W | 4 credits | 2S | M. H. Maathuis | |
401-5680-00L | Foundations of Data Science Seminar ![]() | E- | 0 credits | P. L. Bühlmann, A. Bandeira, H. Bölcskei, J. M. Buhmann, T. Hofmann, A. Krause, A. Lapidoth, H.‑A. Loeliger, M. H. Maathuis, G. Rätsch, C. Uhler, S. van de Geer | ||
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» see Science in Perspective: Language Courses ETH/UZH | ||||||
» see Science in Perspective: Type A: Enhancement of Reflection Capability | ||||||
» Recommended Science in Perspective (Type B) for D-INFK | ||||||
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Number | Title | Type | ECTS | Hours | Lecturers | |
261-0800-00L | Master's Thesis The minimal prerequisites for the Master’s thesis registration are: Completed Bachelor’s program All additional requirements completed (additional requirements, if any, are listed in the admission decree) Minimum degree requirements fulfilled of the course categories Data Analysis and Data Management and overall 50 credits obtained in the course category Core Courses Data Science Lab (14 credits) completed | O | 30 credits | 64D | Professors |