Search result: Courses in Spring Semester 2019
DAS in Data Science | ||||||||||||||||||||||||
Core Courses | ||||||||||||||||||||||||
Foundations Courses | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
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252-0220-00L | Introduction to Machine Learning Previously called Learning and Intelligent Systems. | W | 8 credits | 4V + 2U + 1A | ||||||||||||||||||||
252-0220-00 V | Introduction to Machine Learning Die Vorlesung findet jeweils (Di 13-15 und Mi 13-15) im HG E 7 mit Videoübertragung im HG E 5 und HG E 3 statt. | 4 hrs |
| A. Krause | ||||||||||||||||||||
252-0220-00 U | Introduction to Machine Learning | 2 hrs |
| A. Krause | ||||||||||||||||||||
252-0220-00 A | Introduction to Machine Learning No presence required. | 1 hrs | A. Krause | |||||||||||||||||||||
401-3632-00L | Computational Statistics | W | 8 credits | 3V + 1U | ||||||||||||||||||||
401-3632-00 V | Computational Statistics On 18 April 2019 the course takes place in HG E 3. | 3 hrs |
| M. H. Maathuis | ||||||||||||||||||||
401-3632-00 U | Computational Statistics A "Präsenzstunde" directly following the exercises will be offered Friday 11-12 in HG F 3. | 1 hrs |
| M. H. Maathuis | ||||||||||||||||||||
Capstone Project | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
266-0100-00L | Capstone Project Only for DAS in Data Science. | O | 8 credits | 17A | ||||||||||||||||||||
266-0100-00 A | Capstone Project | 240s hrs | F. Perez Cruz, O. Verscheure | |||||||||||||||||||||
Specialisation Track | ||||||||||||||||||||||||
Hardware for Machine Learning | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
227-0150-00L | Systems-on-chip for Data Analytics and Machine Learning Previously "Energy-Efficient Parallel Computing Systems for Data Analytics" | W | 6 credits | 4G | ||||||||||||||||||||
227-0150-00 G | Systems-on-chip for Data Analytics and Machine Learning | 4 hrs |
| 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 25. Preference is given to students in the MSc EEIT. | W | 3 credits | 2G | ||||||||||||||||||||
227-0155-00 G | Machine Learning on Microcontrollers
Permission from lecturers required for all students.
| 2 hrs |
| M. Magno, L. Benini | ||||||||||||||||||||
Image Analysis & Computer Vision | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
227-0391-00L | Medical Image Analysis Basic knowledge of computer vision would be helpful. | W | 3 credits | 2G | ||||||||||||||||||||
227-0391-00 G | Medical Image Analysis | 2 hrs |
| E. Konukoglu, M. A. Reyes Aguirre, C. Tanner | ||||||||||||||||||||
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 credits | 2V + 1U | ||||||||||||||||||||
227-1034-00 V | Computational Vision (University of Zurich) **Course at University of Zurich** | 2 hrs |
| D. Kiper | ||||||||||||||||||||
227-1034-00 U | Computational Vision (University of Zurich) **Course at University of Zurich** Exercise dates by arrangement. | 1 hrs | by appt. | D. Kiper | ||||||||||||||||||||
252-0579-00L | 3D Vision | W | 4 credits | 3G | ||||||||||||||||||||
252-0579-00 G | 3D Vision | 3 hrs |
| M. Pollefeys, V. Larsson | ||||||||||||||||||||
263-3710-00L | Machine Perception Number of participants limited to 150. | W | 5 credits | 2V + 1U + 1A | ||||||||||||||||||||
263-3710-00 V | Machine Perception | 2 hrs |
| O. Hilliges | ||||||||||||||||||||
263-3710-00 U | Machine Perception | 1 hrs |
| O. Hilliges | ||||||||||||||||||||
263-3710-00 A | Machine Perception | 1 hrs | O. Hilliges | |||||||||||||||||||||
Neural Information Processing | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
227-0395-00L | Neural Systems | W | 6 credits | 2V + 1U + 1A | ||||||||||||||||||||
227-0395-00 V | Neural Systems | 2 hrs |
| R. Hahnloser, M. F. Yanik, B. Grewe | ||||||||||||||||||||
227-0395-00 U | Neural Systems | 1 hrs |
| R. Hahnloser, M. F. Yanik, B. Grewe | ||||||||||||||||||||
227-0395-00 A | Neural Systems | 1 hrs | R. Hahnloser, M. F. Yanik, B. Grewe | |||||||||||||||||||||
227-0973-00L | Translational Neuromodeling | W | 8 credits | 3V + 2U + 1A | ||||||||||||||||||||
227-0973-00 V | Translational Neuromodeling | 3 hrs |
| K. Stephan | ||||||||||||||||||||
227-0973-00 U | Translational Neuromodeling | 2 hrs |
| K. Stephan | ||||||||||||||||||||
227-0973-00 A | Translational Neuromodeling No presence required. Creative task outside the regular weekly exercises. | 1 hrs | K. Stephan | |||||||||||||||||||||
227-1032-00L | Neuromorphic Engineering II Information for UZH students: Enrolment to this course unit only possible at ETH. No enrolment to module INI405 at UZH. Please mind the ETH enrolment deadlines for UZH students: Link | W | 6 credits | 5G | ||||||||||||||||||||
227-1032-00 G | Neuromorphic Engineering II **together with University of Zurich** Vorlesung: 13-15 Übungen: 15-18 | 5 hrs |
| 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 credits | 2V + 1U | ||||||||||||||||||||
227-1034-00 V | Computational Vision (University of Zurich) **Course at University of Zurich** | 2 hrs |
| D. Kiper | ||||||||||||||||||||
227-1034-00 U | Computational Vision (University of Zurich) **Course at University of Zurich** Exercise dates by arrangement. | 1 hrs | by appt. | D. Kiper | ||||||||||||||||||||
Statistics | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
401-0102-00L | Applied Multivariate Statistics | W | 5 credits | 2V + 1U | ||||||||||||||||||||
401-0102-00 V | Applied Multivariate Statistics | 2 hrs |
| F. Sigrist | ||||||||||||||||||||
401-0102-00 U | Applied Multivariate Statistics The exercise class originally scheduled on Monday, 15 April will take place on Friday, 12 April, 11-13 in HG D 7.1. | 1 hrs |
| F. Sigrist | ||||||||||||||||||||
401-3622-00L | Regression | W | 8 credits | 4G | ||||||||||||||||||||
401-3622-00 G | Regression Does not take place this semester. planned to be offered in the Autumn Semester 2019 as a yearly recurring course with new course title: Statistical Modelling | 4 hrs | not available | |||||||||||||||||||||
401-4632-15L | Causality | W | 4 credits | 2G | ||||||||||||||||||||
401-4632-15 G | Causality | 2 hrs |
| C. Heinze-Deml | ||||||||||||||||||||
401-6102-00L | Multivariate Statistics | W | 4 credits | 2G | ||||||||||||||||||||
401-6102-00 G | Multivariate Statistics | 2 hrs |
| N. Meinshausen | ||||||||||||||||||||
401-6624-11L | Applied Time Series | W | 5 credits | 2V + 1U | ||||||||||||||||||||
401-6624-11 V | Applied Time Series | 2 hrs |
| M. Dettling | ||||||||||||||||||||
401-6624-11 U | Applied Time Series | 1 hrs |
| M. Dettling | ||||||||||||||||||||
Machine Learning and Artificial Intelligence | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
252-0526-00L | Statistical Learning Theory | W | 7 credits | 3V + 2U + 1A | ||||||||||||||||||||
252-0526-00 V | Statistical Learning Theory | 3 hrs |
| J. M. Buhmann | ||||||||||||||||||||
252-0526-00 U | Statistical Learning Theory | 2 hrs |
| J. M. Buhmann | ||||||||||||||||||||
252-0526-00 A | Statistical Learning Theory | 1 hrs | J. M. Buhmann | |||||||||||||||||||||
252-3005-00L | Natural Language Understanding Number of participants limited to 200. | W | 4 credits | 2V + 1U | ||||||||||||||||||||
252-3005-00 V | Natural Language Understanding | 2 hrs |
| M. Ciaramita, T. Hofmann | ||||||||||||||||||||
252-3005-00 U | Natural Language Understanding | 1 hrs |
| M. Ciaramita, T. Hofmann |
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