Suchergebnis: Lerneinheiten im Frühjahrssemester 2021
Data Science Master | ||||||
Kernfächer | ||||||
Datenanalyse | ||||||
Information and Learning | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|---|
227-0434-10L | Mathematics of Information | W | 8 KP | 3V + 2U + 2A | H. Bölcskei | |
Statistics | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
401-3632-00L | Computational Statistics | W | 8 KP | 3V + 1U | M. Mächler | |
Datenmanagement und Datenverarbeitung | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
261-5110-00L | Optimization for Data Science | W | 10 KP | 3V + 2U + 4A | B. Gärtner, D. Steurer, N. He | |
Wählbare Kernfächer | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
151-0566-00L | Recursive Estimation | W | 4 KP | 2V + 1U | R. D'Andrea | |
227-0150-00L | Systems-on-Chip for Data Analytics and Machine Learning Previously "Energy-Efficient Parallel Computing Systems for Data Analytics" | W | 6 KP | 4G | L. Benini | |
227-0155-00L | Machine Learning on Microcontrollers Number of participants limited to 40. Registration in this class requires the permission of the instructors. | W | 6 KP | 3G | M. Magno, L. Benini | |
227-0224-00L | Stochastic Systems Findet dieses Semester nicht statt. | W | 4 KP | 2V + 1U | Noch nicht bekannt | |
227-0420-00L | Information Theory II | W | 6 KP | 4G | A. Lapidoth, S. M. Moser | |
227-0424-00L | Model- and Learning-Based Inverse Problems in Imaging | W | 4 KP | 2V + 1P | V. Vishnevskiy | |
227-0427-10L | Advanced Signal Analysis, Modeling, and Machine Learning | W | 6 KP | 4G | H.‑A. Loeliger | |
227-0432-00L | Learning, Classification and Compression | W | 4 KP | 2V + 1U | E. Riegler | |
227-0558-00L | Principles of Distributed Computing | W | 7 KP | 2V + 2U + 2A | R. Wattenhofer, M. Ghaffari | |
227-0560-00L | Deep Learning for Autonomous Driving Registration in this class requires the permission of the instructors. Class size will be limited to 80 students. Please send an email to Dengxin Dai <Link> about your courses/projects that are related to machine learning, computer vision, and Robotics. | W | 6 KP | 3V + 2P | D. Dai, A. Liniger | |
252-0211-00L | Information Security | W | 8 KP | 4V + 3U | D. Basin, S. Capkun | |
252-0526-00L | Statistical Learning Theory | W | 8 KP | 3V + 2U + 2A | J. M. Buhmann, C. Cotrini Jimenez | |
252-0538-00L | Shape Modeling and Geometry Processing | W | 8 KP | 2V + 1U + 4A | O. Sorkine Hornung | |
252-0579-00L | 3D Vision | W | 5 KP | 3G + 1A | M. Pollefeys, V. Larsson | |
252-3005-00L | Natural Language Processing Number of participants limited to 400. | W | 5 KP | 2V + 1U + 1A | R. Cotterell | |
261-5130-00L | Research in Data Science Only for Data Science MSc. | W | 6 KP | 13A | Professor/innen | |
263-0007-00L | Advanced Systems Lab Only for master students, otherwise a special permission by the study administration of D-INFK is required. | W | 8 KP | 3V + 2U + 2A | M. Püschel, C. Zhang | |
263-0008-00L | Computational Intelligence Lab Only for master students, otherwise a special permission by the study administration of D-INFK is required. | W | 8 KP | 2V + 2U + 3A | T. Hofmann | |
263-2925-00L | Program Analysis for System Security and Reliability | W | 7 KP | 2V + 1U + 3A | M. Vechev | |
263-3710-00L | Machine Perception Number of participants limited to 200. | W | 8 KP | 3V + 2U + 2A | O. Hilliges, S. Tang | |
263-3855-00L | Cloud Computing Architecture | W | 9 KP | 3V + 2U + 3A | G. Alonso, A. Klimovic | |
263-4400-00L | Advanced Graph Algorithms and Optimization | W | 8 KP | 3V + 1U + 3A | R. Kyng, M. Probst | |
263-5000-00L | Computational Semantics for Natural Language Processing Limited number of participants: 80. Last cancellation/deregistration date for this graded semester performance: Friday, 26 March 2021! Please note that after that date no deregistration will be accepted and the course will be considered as "fail". | W | 6 KP | 2V + 1U + 2A | M. Sachan | |
263-5300-00L | Guarantees for Machine Learning Number of participants limited to 30. Last cancellation/deregistration date for this graded semester performance: 17 March 2021! Please note that after that date no deregistration will be accepted and a "no show" will appear on your transcript. | W | 7 KP | 3G + 3A | F. Yang | |
401-0674-00L | Numerical Methods for Partial Differential Equations Nicht für Studierende BSc/MSc Mathematik | W | 10 KP | 2G + 2U + 2P + 4A | R. Hiptmair | |
401-3052-10L | Graph Theory | W | 10 KP | 4V + 1U | B. Sudakov | |
401-3602-00L | Applied Stochastic Processes | W | 8 KP | 3V + 1U | V. Tassion | |
401-4632-15L | Causality | W | 4 KP | 2G | C. Heinze-Deml | |
401-4656-21L | Deep Learning in Scientific Computing Aimed at students in a Master's Programme in Mathematics, Engineering and Physics. | W | 6 KP | 2V + 1U | S. Mishra | |
401-4944-20L | Mathematics of Data Science Findet dieses Semester nicht statt. | W | 8 KP | 4G | A. Bandeira | |
401-6102-00L | Multivariate Statistics Findet dieses Semester nicht statt. | W | 4 KP | 2G | keine Angaben | |
402-0448-01L | Quantum Information Processing I: Concepts Dieser theoretisch ausgerichtete Teil QIP I bildet zusammen mit dem experimentell ausgerichteten Teil 402-0448-02L QIP II, die beide im Frühjahrssemester angeboten werden, im Master-Studiengang Physik das experimentelle Kernfach "Quantum Information Processing" mit total 10 ECTS-Kreditpunkten. | W | 5 KP | 2V + 1U | P. Kammerlander | |
701-0104-00L | Statistical Modelling of Spatial Data | W | 3 KP | 2G | A. J. Papritz | |
Interdisziplinäre Wahlfächer | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
101-0478-00L | Measurement and Modelling of Travel Behaviour | W | 6 KP | 4G | K. W. Axhausen | |
103-0228-00L | Multimedia Cartography Voraussetzung: Erfolgreicher Abschluss der Lerneinheit Cartography III (103-0227-00L). | W | 4 KP | 3G | R. Sieber | |
103-0247-00L | Mobile GIS and Location-Based Services | W | 5 KP | 4G | P. Kiefer | |
227-0945-10L | Cell and Molecular Biology for Engineers II This course is part II of a two-semester course. Knowledge of part I is required. | W | 3 KP | 2G | C. Frei | |
227-0391-00L | Medical Image Analysis Basic knowledge of computer vision would be helpful. | W | 3 KP | 2G | E. Konukoglu, M. A. Reyes Aguirre | |
261-5113-00L | Computational Challenges in Medical Genomics Number of participants limited to 20. | W | 2 KP | 2S | A. Kahles, G. Rätsch | |
261-5120-00L | Machine Learning for Health Care Number of participants limited to 150. | W | 5 KP | 3P + 1A | V. Boeva, G. Rätsch, J. Vogt | |
262-0200-00L | Bayesian Phylodynamics – Taming the BEAST | W | 4 KP | 2G + 2A | T. Stadler, T. Vaughan | |
636-0702-00L | Statistical Models in Computational Biology | W | 6 KP | 2V + 1U + 2A | N. Beerenwinkel | |
263-3501-00L | Future Internet Takes place for the last time! | W | 7 KP | 1V + 1U + 4A | A. Singla | |
261-5111-00L | Asset Management: Advanced Investments (University of Zurich) Findet dieses Semester nicht statt. Der Kurs muss direkt an der UZH belegt werden. UZH Modulkürzel: MFOEC207 Beachten Sie die Einschreibungstermine an der UZH: Link | W | 3 KP | 2V | Uni-Dozierende | |
363-1000-00L | Financial Economics | W | 3 KP | 2V | A. Bommier, C. Daminato | |
363-1091-00L | Social Data Science | W | 3 KP | 2G | D. Garcia Becerra | |
363-1100-00L | Risk Case Study Challenge Findet dieses Semester nicht statt. | W | 3 KP | 2S | ||
401-3629-00L | Quantitative Risk Management | W | 4 KP | 2V + 1U | P. Cheridito | |
401-3888-00L | Introduction to Mathematical Finance Ein verwandter Kurs ist 401-3913-01L Mathematical Foundations for Finance (3V+2U, 4 ECTS-KP). Obwohl beide Kurse unabhängig voneinander belegt werden können, darf nur einer ans gesamte Mathematik-Studium (Bachelor und Master) angerechnet werden. | W | 10 KP | 4V + 1U | D. Possamaï | |
401-3936-00L | Data Analytics for Non-Life Insurance Pricing | W | 4 KP | 2V | C. M. Buser, M. V. Wüthrich | |
401-4658-00L | Computational Methods for Quantitative Finance: PDE Methods | W | 6 KP | 3V + 1U | C. Marcati, A. Stein | |
401-8915-00L | Advanced Financial Economics (University of Zurich) Der Kurs muss direkt an der UZH belegt werden. UZH Modulkürzel: MFOEC206 Beachten Sie die Einschreibungstermine an der UZH: Link | W | 6 KP | 4G | Uni-Dozierende | |
701-0412-00L | Klimasysteme | W | 3 KP | 2G | S. I. Seneviratne, L. Gudmundsson | |
701-1216-00L | Numerical Modelling of Weather and Climate | W | 4 KP | 3G | C. Schär, J. Vergara Temprado, M. Wild | |
701-1226-00L | Inter-Annual Phenomena and Their Prediction | W | 2 KP | 2G | C. Appenzeller | |
701-1252-00L | Climate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation Number of participants limited to 50. Waiting list until 05.03.2021. | W | 3 KP | 2V + 1U | D. N. Bresch, R. Knutti | |
701-1270-00L | High Performance Computing for Weather and Climate | W | 3 KP | 3G | O. Fuhrer | |
227-0395-00L | Neural Systems | W | 6 KP | 2V + 1U + 1A | R. Hahnloser, M. F. Yanik, B. Grewe | |
227-0973-00L | Translational Neuromodeling | W | 8 KP | 3V + 2U + 1A | K. Stephan | |
227-1032-00L | Neuromorphic Engineering II Information für UZH Studierende: Die Lerneinheit kann nur an der ETH belegt werden. Die Belegung des Moduls INI405 ist an der UZH nicht möglich. Beachten Sie die Einschreibungstermine an der ETH für UZH Studierende: Link | W | 6 KP | 5G | T. Delbrück, G. Indiveri, S.‑C. Liu | |
227-1034-00L | Computational Vision (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: INI402 Mind the enrolment deadlines at UZH: Link | W | 6 KP | 2V + 1U | D. Kiper | |
851-0252-06L | Introduction to Social Networks: Theory, Methods and Applications This course is intended for students interested in data analysis and with basic knowledge of inferential statistics. | W | 3 KP | 2G | C. Stadtfeld, U. Brandes | |
851-0254-00L | Network Science Project Findet dieses Semester nicht statt. It is advisable to take at least one of 851-0252-06 Introduction to Social Networks, 851-0252-15 Network Analysis, or 851-0252-13 Network Modeling beforehand. Proficiency in programming and data analysis are helpful but can be compensated for by a firm understanding of the foundations relevant for the particular study. | W | 3 KP | 2P | U. Brandes, C. Stadtfeld | |
851-0586-03L | Applied Network Science: Sports Networks Number of participant limited to 20 | W | 3 KP | 2S | U. Brandes | |
851-0739-01L | Sequencing Legal DNA: NLP for Law and Political Economy Particularly suitable for students of D-INFK, D-ITET, D-MTEC | W | 3 KP | 2V | E. Ash | |
851-0739-02L | Sequencing Legal DNA: NLP for Law and Political Economy (Course Project) This is the optional course project for "Building a Robot Judge: Data Science for the Law." Please register only if attending the lecture course or with consent of the instructor. Some programming experience in Python is required, and some experience with text mining is highly recommended. | W | 2 KP | 2V | E. Ash | |
851-0740-00L | Big Data, Law, and Policy Number of participants limited to 35. Students will be informed by 1.3.2021 the latest. | W | 3 KP | 2S | S. Bechtold | |
860-0033-00L | Big Data for Public Policy Nur für Masterstudierende und Doktorierende. | W | 3 KP | 2G | E. Ash, M. Guillot | |
Data Science Projektkurs | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
263-3300-00L | Data Science Lab Only for Data Science MSc. | W | 14 KP | 9P | C. Zhang, V. Boeva, R. Cotterell, J. Vogt, F. Yang | |
Seminar | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
261-5113-00L | Computational Challenges in Medical Genomics Number of participants limited to 20. | W | 2 KP | 2S | A. Kahles, G. Rätsch | |
263-5225-00L | Advanced Topics in Machine Learning and Data Science Number of participants limited to 20. 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 KP | 2S | F. Perez Cruz | |
401-3620-21L | Student Seminar in Statistics: Statistical Network Modeling Maximale Teilnehmerzahl: 48 Hauptsächlich für Studierende der Bachelor- und Master-Studiengänge Mathematik, welche nach der einführenden Lerneinheit 401-2604-00L Wahrscheinlichkeit und Statistik (Probability and Statistics) mindestens ein Kernfach oder Wahlfach in Statistik besucht haben. Das Seminar wird auch für Studierende der Master-Studiengänge Statistik bzw. Data Science angeboten. | W | 4 KP | 2S | P. L. Bühlmann, M. Azadkia | |
GESS Wissenschaft im Kontext | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
851-0740-00L | Big Data, Law, and Policy Number of participants limited to 35. Students will be informed by 1.3.2021 the latest. | W | 3 KP | 2S | S. Bechtold | |
» siehe Studiengang Wissenschaft im Kontext: Typ A: Förderung allgemeiner Reflexionsfähigkeiten | ||||||
» Empfehlungen aus dem Bereich Wissenschaft im Kontext (Typ B) für das D-INFK | ||||||
» siehe Studiengang Wissenschaft im Kontext: Sprachkurse ETH/UZH | ||||||
Master-Arbeit | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
261-0800-00L | Master's Thesis Zur Master-Arbeit wird nur zugelassen, wer: - das Bachelor-Studium erfolgreich abgeschlossen hat; - allfällige Auflagen für die Zulassung zum Studiengang erfüllt hat - in der Kategorie "Kernfächer" mindestens 50 KP erworben hat, darunter die je minimal erforderlichen 16 KP in den Unterkategorien "Datenanalyse" sowie "Datenmanagement und Datenverarbeitung" und - in der Kategorie "Data Science Projektkurs" die erforderlichen 14 KP erworben hat. | O | 30 KP | 64D | Professor/innen |