Suchergebnis: Lehrveranstaltungen im Frühjahrssemester 2020
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 | ||||||||||||||||||||
| 227-0434-10 V | Mathematics of Information | 3 Std. |
| H. Bölcskei | ||||||||||||||||||||
| 227-0434-10 U | Mathematics of Information | 2 Std. |
| H. Bölcskei | ||||||||||||||||||||
| 227-0434-10 A | Mathematics of Information | 2 Std. | H. Bölcskei | |||||||||||||||||||||
| Statistics | ||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||
| 401-3632-00L | Computational Statistics | W | 8 KP | 3V + 1U | ||||||||||||||||||||
| 401-3632-00 V | Computational Statistics | 3 Std. |
| M. H. Maathuis | ||||||||||||||||||||
| 401-3632-00 U | Computational Statistics A "Präsenzstunde" directly following the exercises will be offered Friday 11-12 in HG G 5. | 1 Std. |
| M. H. Maathuis | ||||||||||||||||||||
| Datenmanagement und Datenverarbeitung | ||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||
| 261-5110-00L | Optimization for Data Science | W | 8 KP | 3V + 2U + 2A | ||||||||||||||||||||
| 261-5110-00 V | Optimization for Data Science | 3 Std. |
| B. Gärtner, D. Steurer | ||||||||||||||||||||
| 261-5110-00 U | Optimization for Data Science | 2 Std. |
| B. Gärtner, D. Steurer | ||||||||||||||||||||
| 261-5110-00 A | Optimization for Data Science | 2 Std. | B. Gärtner, D. Steurer | |||||||||||||||||||||
| Wählbare Kernfächer | ||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||
| 151-0566-00L | Recursive Estimation | W | 4 KP | 2V + 1U | ||||||||||||||||||||
| 151-0566-00 V | Recursive Estimation The lecture starts in the second week of the Semester. | 2 Std. |
| R. D'Andrea | ||||||||||||||||||||
| 151-0566-00 U | Recursive Estimation The exercise starts in the second week of the Semester. | 1 Std. |
| 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 | ||||||||||||||||||||
| 227-0150-00 G | Systems-on-chip for Data Analytics and Machine Learning | 4 Std. |
| L. Benini | ||||||||||||||||||||
| 227-0155-00L | Machine Learning on Microcontrollers  Registration in this class requires the permission of the instructors. Class size will be limited to 30. Preference is given to students in the MSc EEIT. | W | 6 KP | 3G + 2A | ||||||||||||||||||||
| 227-0155-00 G | Machine Learning on Microcontrollers
 Bewilligung der Dozierenden für alle Studierenden notwendig.
| 3 Std. |
| M. Magno, L. Benini | ||||||||||||||||||||
| 227-0155-00 A | Machine Learning on Microcontrollers
Bewilligung der Dozierenden für alle Studierenden notwendig.
| 2 Std. | M. Magno, L. Benini | |||||||||||||||||||||
| 227-0224-00L | Stochastic Systems | W | 4 KP | 2V + 1U | ||||||||||||||||||||
| 227-0224-00 V | Stochastic Systems | 2 Std. |
| F. Herzog | ||||||||||||||||||||
| 227-0224-00 U | Stochastic Systems | 1 Std. |
| F. Herzog | ||||||||||||||||||||
| 227-0420-00L | Information Theory II | W | 6 KP | 2V + 2U | ||||||||||||||||||||
| 227-0420-00 V | Information Theory II Findet dieses Semester nicht statt. | 2 Std. | A. Lapidoth | |||||||||||||||||||||
| 227-0420-00 U | Information Theory II Findet dieses Semester nicht statt. | 2 Std. | A. Lapidoth | |||||||||||||||||||||
| 227-0558-00L | Principles of Distributed Computing | W | 7 KP | 2V + 2U + 2A | ||||||||||||||||||||
| 227-0558-00 V | Principles of Distributed Computing | 2 Std. |
| R. Wattenhofer, M. Ghaffari | ||||||||||||||||||||
| 227-0558-00 U | Principles of Distributed Computing In Gruppen | 2 Std. |
| R. Wattenhofer, M. Ghaffari | ||||||||||||||||||||
| 227-0558-00 A | Principles of Distributed Computing No presence required. Creative task outside the regular weekly exercises. | 2 Std. | 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. Preference is given to EEIT, INF and RSC students. | W | 6 KP | 3V + 2P | ||||||||||||||||||||
| 227-0560-00 V | Deep Learning for Autonomous Driving
Bewilligung der Dozierenden für alle Studierenden notwendig.
| 3 Std. |
| D. Dai, A. Liniger | ||||||||||||||||||||
| 227-0560-00 P | Deep Learning for Autonomous Driving
Bewilligung der Dozierenden für alle Studierenden notwendig.
| 2 Std. |
| D. Dai, A. Liniger | ||||||||||||||||||||
| 252-0211-00L | Information Security | W | 8 KP | 4V + 3U | ||||||||||||||||||||
| 252-0211-00 V | Information Security | 4 Std. |
| D. Basin, S. Capkun, R. Sasse | ||||||||||||||||||||
| 252-0211-00 U | Information Security | 3 Std. |
| D. Basin, S. Capkun, R. Sasse | ||||||||||||||||||||
| 252-0526-00L | Statistical Learning Theory | W | 7 KP | 3V + 2U + 1A | ||||||||||||||||||||
| 252-0526-00 V | Statistical Learning Theory | 3 Std. |
| J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||||||||
| 252-0526-00 U | Statistical Learning Theory | 2 Std. |
| J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||||||||
| 252-0526-00 A | Statistical Learning Theory | 1 Std. | J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||||||||||
| 252-0538-00L | Shape Modeling and Geometry Processing | W | 6 KP | 2V + 1U + 2A | ||||||||||||||||||||
| 252-0538-00 V | Shape Modeling and Geometry Processing | 2 Std. |
| O. Sorkine Hornung | ||||||||||||||||||||
| 252-0538-00 U | Shape Modeling and Geometry Processing | 1 Std. |
| O. Sorkine Hornung | ||||||||||||||||||||
| 252-0538-00 A | Shape Modeling and Geometry Processing | 2 Std. | O. Sorkine Hornung | |||||||||||||||||||||
| 252-0579-00L | 3D Vision | W | 5 KP | 3G + 1A | ||||||||||||||||||||
| 252-0579-00 G | 3D Vision | 3 Std. |
| M. Pollefeys, V. Larsson | ||||||||||||||||||||
| 252-0579-00 A | 3D Vision | 1 Std. | M. Pollefeys, V. Larsson | |||||||||||||||||||||
| 252-3005-00L | Natural Language Understanding Findet im HS20 wieder statt. | W | 5 KP | 2V + 1U + 1A | ||||||||||||||||||||
| 252-3005-00 V | Natural Language Understanding Findet dieses Semester nicht statt. | 2 Std. | ||||||||||||||||||||||
| 252-3005-00 U | Natural Language Understanding Findet dieses Semester nicht statt. | 1 Std. | ||||||||||||||||||||||
| 252-3005-00 A | Natural Language Understanding Findet dieses Semester nicht statt. | 1 Std. | Noch nicht bekannt | |||||||||||||||||||||
| 261-5130-00L | Research in Data Science Only for Data Science MSc. | W | 6 KP | 13A | ||||||||||||||||||||
| 261-5130-00 A | Research in Data Science | 180s Std. | 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 | ||||||||||||||||||||
| 263-0007-00 V | Advanced Systems Lab
| 3 Std. |
| M. Püschel, C. Zhang | ||||||||||||||||||||
| 263-0007-00 U | Advanced Systems Lab | 2 Std. |
| M. Püschel, C. Zhang | ||||||||||||||||||||
| 263-0007-00 A | Advanced Systems Lab Project Work, no fixed presence required. | 2 Std. | 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 | ||||||||||||||||||||
| 263-0008-00 V | Computational Intelligence Lab | 2 Std. |
| T. Hofmann | ||||||||||||||||||||
| 263-0008-00 U | Computational Intelligence Lab | 2 Std. |
| T. Hofmann | ||||||||||||||||||||
| 263-0008-00 A | Computational Intelligence Lab No presence required. | 3 Std. | T. Hofmann | |||||||||||||||||||||
| 263-2925-00L | Program Analysis for System Security and Reliability | W | 6 KP | 2V + 1U + 2A | ||||||||||||||||||||
| 263-2925-00 V | Program Analysis for System Security and Reliability | 2 Std. |
| P. Tsankov | ||||||||||||||||||||
| 263-2925-00 U | Program Analysis for System Security and Reliability | 1 Std. |
| P. Tsankov | ||||||||||||||||||||
| 263-2925-00 A | Program Analysis for System Security and Reliability | 2 Std. | P. Tsankov | |||||||||||||||||||||
| 263-3710-00L | Machine Perception Number of participants limited to 200. | W | 5 KP | 2V + 1U + 1A | ||||||||||||||||||||
| 263-3710-00 V | Machine Perception | 2 Std. |
| O. Hilliges | ||||||||||||||||||||
| 263-3710-00 U | Machine Perception | 1 Std. |
| O. Hilliges | ||||||||||||||||||||
| 263-3710-00 A | Machine Perception | 1 Std. | O. Hilliges | |||||||||||||||||||||
| 263-4400-00L | Advanced Graph Algorithms and Optimization Number of participants limited to 30. | W | 5 KP | 3G + 1A | ||||||||||||||||||||
| 263-4400-00 G | Advanced Graph Algorithms and Optimization | 3 Std. |
| R. Kyng | ||||||||||||||||||||
| 263-4400-00 A | Advanced Graph Algorithms and Optimization | 1 Std. | R. Kyng | |||||||||||||||||||||
| 263-5300-00L | Guarantees for Machine Learning | W | 5 KP | 2V + 2A | ||||||||||||||||||||
| 263-5300-00 V | Guarantees for Machine Learning Special selection process. Preference is given to Masters and Doctorate students. If need be other criteria are degree program and previous courses taken. | 2 Std. |
| F. Yang | ||||||||||||||||||||
| 263-5300-00 A | Guarantees for Machine Learning | 2 Std. | F. Yang | |||||||||||||||||||||
| 401-0674-00L | Numerical Methods for Partial Differential Equations Nicht für Studierende BSc/MSc Mathematik | W | 10 KP | 2G + 2U + 2P + 4A | ||||||||||||||||||||
| 401-0674-00 G | Numerical Methods for Partial Differential Equations This course is designed in a flipped classroom format based on video tutorials and supplemented by a weekly question-and-answer session, for which attendance is highly recommended. | 2 Std. |
| R. Hiptmair | ||||||||||||||||||||
| 401-0674-00 U | Numerical Methods for Partial Differential Equations Gruppeneinteilung erfolgt über myStudies. | 2 Std. |
| R. Hiptmair | ||||||||||||||||||||
| 401-0674-00 P | Numerical Methods for Partial Differential Equations Homework C++ coding projects for the course "Numerical Methods for Partial Differential Equations" | 2 Std. | R. Hiptmair | |||||||||||||||||||||
| 401-0674-00 A | Numerical Methods for Partial Differential Equations Video guided self-study or group-study for the course "Numerical Methods for Partial Differential Equations" | 4 Std. | R. Hiptmair | |||||||||||||||||||||
| 401-3052-05L | Graph Theory | W | 5 KP | 2V + 1U | ||||||||||||||||||||
| 401-3052-05 V | Graph Theory | 28s Std. |
| B. Sudakov | ||||||||||||||||||||
| 401-3052-05 U | Graph Theory | 7s Std. |
| B. Sudakov | ||||||||||||||||||||
| 401-3052-10L | Graph Theory | W | 10 KP | 4V + 1U | ||||||||||||||||||||
| 401-3052-10 V | Graph Theory | 4 Std. |
| B. Sudakov | ||||||||||||||||||||
| 401-3052-10 U | Graph Theory | 1 Std. |
| B. Sudakov | ||||||||||||||||||||
| 401-3602-00L | Applied Stochastic Processes | W | 8 KP | 3V + 1U | ||||||||||||||||||||
| 401-3602-00 V | Applied Stochastic Processes Findet dieses Semester nicht statt. | 3 Std. | keine Angaben | |||||||||||||||||||||
| 401-3602-00 U | Applied Stochastic Processes Findet dieses Semester nicht statt. | 1 Std. | keine Angaben | |||||||||||||||||||||
| 401-4632-15L | Causality | W | 4 KP | 2G | ||||||||||||||||||||
| 401-4632-15 G | Causality | 2 Std. |
| C. Heinze-Deml | ||||||||||||||||||||
| 401-4944-20L | Mathematics of Data Science | W | 8 KP | 4G | ||||||||||||||||||||
| 401-4944-20 G | Mathematics of Data Science Planned to take place again in the Autumn Semester 2021. | 4 Std. |
| A. Bandeira | ||||||||||||||||||||
| 401-6102-00L | Multivariate Statistics | W | 4 KP | 2G | ||||||||||||||||||||
| 401-6102-00 G | Multivariate Statistics Findet dieses Semester nicht statt. | 2 Std. | 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 | ||||||||||||||||||||
| 402-0448-01 V | Quantum Information Processing I: Concepts | 2 Std. |
| P. Kammerlander | ||||||||||||||||||||
| 402-0448-01 U | Quantum Information Processing I: Concepts | 1 Std. |
| P. Kammerlander | ||||||||||||||||||||
| 701-0104-00L | Statistical Modelling of Spatial Data | W | 3 KP | 2G | ||||||||||||||||||||
| 701-0104-00 G | Statistical Modelling of Spatial Data | 2 Std. |
| A. J. Papritz | ||||||||||||||||||||
| Interdisziplinäre Wahlfächer | ||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||
| 101-0478-00L | Measurement and Modelling of Travel Behaviour | W | 6 KP | 4G | ||||||||||||||||||||
| 101-0478-00 G | Measurement and Modeling of Travel Behaviour | 4 Std. |
| K. W. Axhausen | ||||||||||||||||||||
| 103-0228-00L | Multimedia Cartography Voraussetzung: Erfolgreicher Abschluss der Lerneinheit Cartography III (103-0227-00L). | W | 4 KP | 3G | ||||||||||||||||||||
| 103-0228-00 G | Multimedia Cartography | 3 Std. |
| H.‑R. Bär, R. Sieber | ||||||||||||||||||||
| 103-0247-00L | Mobile GIS and Location-Based Services | W | 5 KP | 4G | ||||||||||||||||||||
| 103-0247-00 G | Mobile GIS and Location-Based Services | 4 Std. |
| P. Kiefer | ||||||||||||||||||||
| 103-0255-01L | Geodatenanalyse | W | 2 KP | 2G | ||||||||||||||||||||
| 103-0255-01 G | Geodatenanalyse | 2 Std. |
| K. Kurzhals | ||||||||||||||||||||
| 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 | ||||||||||||||||||||
| 227-0945-10 G | Cell and Molecular Biology for Engineers II | 2 Std. |
| C. Frei | ||||||||||||||||||||
| 227-0391-00L | Medical Image Analysis Basic knowledge of computer vision would be helpful. | W | 3 KP | 2G | ||||||||||||||||||||
| 227-0391-00 G | Medical Image Analysis | 2 Std. |
| E. Konukoglu, M. A. Reyes Aguirre | ||||||||||||||||||||
| 261-5113-00L | Computational Challenges in Medical Genomics Number of participants limited to 20. | W | 2 KP | 2S | ||||||||||||||||||||
| 261-5113-00 S | Computational Challenges in Medical Genomics | 2 Std. |
| A. Kahles, G. Rätsch | ||||||||||||||||||||
| 261-5120-00L | Machine Learning for Health Care Number of participants limited to 150. | W | 5 KP | 3P + 1A | ||||||||||||||||||||
| 261-5120-00 P | Machine Learning for Health Care | 3 Std. |
| G. Rätsch, J. Vogt, V. Boeva | ||||||||||||||||||||
| 261-5120-00 A | Machine Learning for Health Care | 1 Std. | G. Rätsch, J. Vogt, V. Boeva | |||||||||||||||||||||
| 262-0200-00L | Bayesian Phylodynamics | W | 4 KP | 2G + 2A | ||||||||||||||||||||
| 262-0200-00 G | Bayesian Phylodynamics ***ATTENTION: Starting with the lecture on March18, the Bayesian Phylodynamics lecture will be broadcasted using a Zoom videoconference. The lecturer will inform the students about the URL to participate in the online course*** | 2 Std. |
| T. Stadler, T. Vaughan | ||||||||||||||||||||
| 262-0200-00 A | Bayesian Phylodynamics | 2 Std. | T. Stadler, T. Vaughan | |||||||||||||||||||||
| 636-0702-00L | Statistical Models in Computational Biology | W | 6 KP | 2V + 1U + 2A | ||||||||||||||||||||
| 636-0702-00 V | Statistical Models in Computational Biology The lecture will be held either in Zurich or Basel and will be transmitted via videoconference to the second location. Lecture will be streamed and recorded | 2 Std. |
| N. Beerenwinkel | ||||||||||||||||||||
| 636-0702-00 U | Statistical Models in Computational Biology The tutorial will be held either in Zurich or Basel and will be transmitted via videoconference to the second location. | 1 Std. |
| N. Beerenwinkel | ||||||||||||||||||||
| 636-0702-00 A | Statistical Models in Computational Biology Project work, no fixed presence required. | 2 Std. | N. Beerenwinkel | |||||||||||||||||||||
| 263-3501-00L | Future Internet | W | 6 KP | 1V + 1U + 3A | ||||||||||||||||||||
| 263-3501-00 V | Future Internet | 1 Std. |
| A. Singla | ||||||||||||||||||||
| 263-3501-00 U | Future Internet | 1 Std. |
| A. Singla | ||||||||||||||||||||
| 263-3501-00 A | Future Internet | 3 Std. | A. Singla | |||||||||||||||||||||
| 261-5111-00L | Asset Management: Advanced Investments (University of Zurich) Der Kurs muss direkt an der UZH belegt werden. UZH Modulkürzel: MFOEC207 Beachten Sie die Einschreibungstermine an der UZH: http://www.uzh.ch/studies/application/mobilitaet.html | W | 3 KP | 2V | ||||||||||||||||||||
| 261-5111-00 V | Asset Management: Advanced Investments (University of Zurich) **Course at University of Zurich** | 2 Std. | Uni-Dozierende | |||||||||||||||||||||
| 363-1000-00L | Financial Economics | W | 3 KP | 2V | ||||||||||||||||||||
| 363-1000-00 V | Financial Economics | 2 Std. |
| A. Bommier | ||||||||||||||||||||
| 401-3629-00L | Quantitative Risk Management | W | 4 KP | 2V + 1U | ||||||||||||||||||||
| 401-3629-00 V | Quantitative Risk Management Recorded lectures will be posted in the material section of the QRM website https://people.math.ethz.ch/~patrickc/qrm | 2 Std. |
| P. Cheridito | ||||||||||||||||||||
| 401-3629-00 U | Quantitative Risk Management The QRM lecture and exercise session of March 12 will not take place in the auditorium. A video lecture will be made available on https://video.ethz.ch/lectures/d-math/2020/spring.html | 1 Std. |
| 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 | ||||||||||||||||||||
| 401-3888-00 V | Introduction to Mathematical Finance | 4 Std. |
| C. Czichowsky | ||||||||||||||||||||
| 401-3888-00 U | Introduction to Mathematical Finance Gruppeneinteilung erfolgt über myStudies. Wed 14-15 or Wed 15-16 | 1 Std. |
| C. Czichowsky | ||||||||||||||||||||
| 401-3936-00L | Data Analytics for Non-Life Insurance Pricing | W | 4 KP | 2V | ||||||||||||||||||||
| 401-3936-00 V | Data Analytics for Non-Life Insurance Pricing No class on 3 March 2020. As of 17 March 2020 the lecture is offered as a Zoom video conference at the usual time. | 2 Std. |
| C. M. Buser, M. V. Wüthrich | ||||||||||||||||||||
| 401-4658-00L | Computational Methods for Quantitative Finance: PDE Methods | W | 6 KP | 3V + 1U | ||||||||||||||||||||
| 401-4658-00 V | Computational Methods for Quantitative Finance: PDE Methods Bewilligung der Dozierenden für alle Studierenden notwendig.
| 3 Std. |
| C. Schwab | ||||||||||||||||||||
| 401-4658-00 U | Computational Methods for Quantitative Finance: PDE Methods Gruppeneinteilung erfolgt über myStudies. | 1 Std. |
| C. Schwab | ||||||||||||||||||||
| 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: https://www.uzh.ch/cmsssl/de/studies/application/mobilitaet.html | W | 6 KP | 4G | ||||||||||||||||||||
| 401-8915-00 G | Advanced Financial Economics (University of Zurich) **Course at University of Zurich** | 4 Std. | Uni-Dozierende | |||||||||||||||||||||
| 701-0412-00L | Klimasysteme | W | 3 KP | 2G | ||||||||||||||||||||
| 701-0412-00 G | Klimasysteme | 2 Std. |
| S. I. Seneviratne, L. Gudmundsson | ||||||||||||||||||||
| 701-1216-00L | Numerical Modelling of Weather and Climate | W | 4 KP | 3G | ||||||||||||||||||||
| 701-1216-00 G | Numerical Modelling of Weather and Climate Lecture 13-15 and exercise 15-17 every 14 days | 3 Std. |
| C. Schär, S. Soerland, J. Vergara Temprado | ||||||||||||||||||||
| 701-1226-00L | Inter-Annual Phenomena and Their Prediction | W | 2 KP | 2G | ||||||||||||||||||||
| 701-1226-00 G | Inter-Annual Phenomena and Their Prediction | 2 Std. |
| C. Appenzeller | ||||||||||||||||||||
| 701-1252-00L | Climate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation | W | 3 KP | 2V + 1U | ||||||||||||||||||||
| 701-1252-00 V | Climate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation Lecture starts 24 Feb 2020, | 2 Std. |
| D. N. Bresch, R. Knutti | ||||||||||||||||||||
| 701-1252-00 U | Climate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation Exercises start 24 Feb 2020, | 1 Std. |
| D. N. Bresch, R. Knutti | ||||||||||||||||||||
| 701-1270-00L | High Performance Computing for Weather and Climate | W | 3 KP | 3G | ||||||||||||||||||||
| 701-1270-00 G | High Performance Computing for Weather and Climate Block course of one full week in Zurich Starting in 2020, either June 1 – 5 or June 8 – 12 2020. Hands-on exercises and work-project on supercomputer at CSCS | 40s Std. | O. Fuhrer | |||||||||||||||||||||
| 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 | ||||||||||||||||||||
| 851-0252-06 G | Introduction to Social Networks: Theory, Methods and Applications | 2 Std. |
| C. Stadtfeld, T. Elmer | ||||||||||||||||||||
| 363-1091-00L | Social Data Science | W | 3 KP | 2G | ||||||||||||||||||||
| 363-1091-00 G | Social Data Science Block course: 10.02.2020-14.02.2020 | 30s Std. |
| D. Garcia Becerra | ||||||||||||||||||||
| 227-0395-00L | Neural Systems | W | 6 KP | 2V + 1U + 1A | ||||||||||||||||||||
| 227-0395-00 V | Neural Systems | 2 Std. |
| R. Hahnloser, M. F. Yanik, B. Grewe | ||||||||||||||||||||
| 227-0395-00 U | Neural Systems | 1 Std. |
| R. Hahnloser, M. F. Yanik, B. Grewe | ||||||||||||||||||||
| 227-0395-00 A | Neural Systems | 1 Std. | R. Hahnloser, M. F. Yanik, B. Grewe | |||||||||||||||||||||
| 227-0973-00L | Translational Neuromodeling | W | 8 KP | 3V + 2U + 1A | ||||||||||||||||||||
| 227-0973-00 V | Translational Neuromodeling | 3 Std. |
| K. Stephan | ||||||||||||||||||||
| 227-0973-00 U | Translational Neuromodeling | 2 Std. |
| K. Stephan | ||||||||||||||||||||
| 227-0973-00 A | Translational Neuromodeling No presence required. Creative work on a self-chosen project outside the regular weekly exercises. | 1 Std. | 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 | ||||||||||||||||||||
| 227-1032-00 G | Neuromorphic Engineering II | 5 Std. |
| S.‑C. Liu, T. Delbrück, G. Indiveri | ||||||||||||||||||||
| 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: https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html | W | 6 KP | 2V + 1U | ||||||||||||||||||||
| 227-1034-00 V | Computational Vision (University of Zurich) **Course at University of Zurich** | 2 Std. |
| D. Kiper | ||||||||||||||||||||
| 227-1034-00 U | Computational Vision (University of Zurich) **Course at University of Zurich** Exercise dates by arrangement. | 1 Std. | D. Kiper | |||||||||||||||||||||
| 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 | ||||||||||||||||||||
| 851-0739-01 V | Sequencing Legal DNA: NLP for Law and Political Economy | 2 Std. |
| 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 | ||||||||||||||||||||
| 851-0739-02 V | Sequencing Legal DNA: NLP for Law and Political Economy (Course Project) Mondays, 1pm-3pm | 28s Std. | E. Ash | |||||||||||||||||||||
| 851-0740-00L | Big Data, Law, and Policy Number of participants limited to 35 Students will be informed by 1.3.2020 at the latest. | W | 3 KP | 2S | ||||||||||||||||||||
| 851-0740-00 S | Big Data, Law, and Policy Bewilligung der Dozierenden für alle Studierenden notwendig.
| 2 Std. |
| S. Bechtold | ||||||||||||||||||||
| 363-1100-00L | Risk Case Study Challenge | W | 3 KP | 2S | ||||||||||||||||||||
| 363-1100-00 S | Risk Case Study Challenge
Findet dieses Semester nicht statt. | 2 Std. | A. Bommier, S. Feuerriegel | |||||||||||||||||||||
| 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 | ||||||||||||||||||||
| 261-5113-00 S | Computational Challenges in Medical Genomics | 2 Std. |
| A. Kahles, G. Rätsch | ||||||||||||||||||||
| 263-3840-00L | Hardware Architectures for Machine Learning 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 KP | 2S | ||||||||||||||||||||
| 263-3840-00 S | Hardware Architectures for Machine Learning | 2 Std. |
| G. Alonso, T. Hoefler, C. Zhang | ||||||||||||||||||||
| 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 | ||||||||||||||||||||
| 263-5225-00 S | Advanced Topics in Machine Learning and Data Science | 2 Std. |
| F. Perez Cruz | ||||||||||||||||||||
| 401-3620-20L | Student Seminar in Statistics: Inference in Non-Classical Regression Models Maximale Teilnehmerzahl: 24 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 | ||||||||||||||||||||
| 401-3620-00 S | Student Seminar in Statistics: Inference in Non-Classical Regression Models | 2 Std. |
| F. Balabdaoui | ||||||||||||||||||||
| 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 1.3.2020 at the latest. | W | 3 KP | 2S | ||||||||||||||||||||
| 851-0740-00 S | Big Data, Law, and Policy Bewilligung der Dozierenden für alle Studierenden notwendig.
| 2 Std. |
| 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 | ||||||||||||||||||||
| 261-0800-00 D | Master's Thesis | 900s Std. | Professor/innen | |||||||||||||||||||||