Das Herbstsemester 2020 findet in einer gemischten Form aus Online- und Präsenzunterricht statt.
Bitte lesen Sie die publizierten Informationen zu den einzelnen Lehrveranstaltungen genau.

Suchergebnis: Lehrveranstaltungen im Frühjahrssemester 2019

Data Science Master Information
Interdisziplinäre Wahlfächer
NummerTitelTypECTSUmfangDozierende
101-0478-00LMeasurement and Modelling of Travel BehaviourW6 KP4G
101-0478-00 GMeasurement and Modeling of Travel Behaviour4 Std.
Mi10-12HIL F 36.1 »
Do08-10HIL F 36.1 »
K. W. Axhausen
103-0228-00LMultimedia Cartography
Voraussetzung: Erfolgreicher Abschluss der Lerneinheit Cartography III (103-0227-00L).
W4 KP3G
103-0228-00 GMultimedia Cartography3 Std.
Di08-11HIL G 22 »
H.‑R. Bär, R. Sieber
103-0247-00LMobile GIS and Location-Based ServicesW5 KP4G
103-0247-00 GMobile GIS and Location-Based Services4 Std.
Do13-17HIL G 22 »
P. Kiefer
103-0255-01LGeodatenanalyseW2 KP2G
103-0255-01 GGeodatenanalyse2 Std.
Do15-17HIL D 53 »
R. Buffat
227-0945-10LCell and Molecular Biology for Engineers II
This course is part II of a two-semester course.
Knowledge of part I is required.
W3 KP2G
227-0945-10 GCell and Molecular Biology for Engineers II2 Std.
Do13-15ETZ F 91 »
C. Frei
227-0391-00LMedical Image Analysis
Basic knowledge of computer vision would be helpful.
W3 KP2G
227-0391-00 GMedical Image Analysis2 Std.
Di13-15CAB G 11 »
19.02.13-15CHN D 48 »
E. Konukoglu, M. A. Reyes Aguirre, C. Tanner
261-5113-00LComputational Challenges in Medical Genomics Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 20.
W2 KP2S
261-5113-00 SComputational Challenges in Medical Genomics2 Std.
Mo13-15CAB G 57 »
A. Kahles, G. Rätsch
261-5120-00LMachine Learning for Health Care Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 78.

Previously called Computational Biomedicine II
W4 KP3P
261-5120-00 PMachine Learning for Health Care3 Std.
Do15-18LFW C 5 »
G. Rätsch
262-0200-00LBayesian PhylodynamicsW4 KP2G + 2A
262-0200-00 GBayesian Phylodynamics2 Std.
Mi11-13BSA E 60 »
T. Stadler, T. Vaughan
262-0200-00 ABayesian Phylodynamics2 Std.T. Stadler, T. Vaughan
636-0702-00LStatistical Models in Computational BiologyW6 KP2V + 1U + 2A
636-0702-00 VStatistical Models in Computational Biology
The lecture will be held either in Zurich or Basel and will be transmitted via videoconference to the second location.
2 Std.
Do12-14BSB E 4 »
12-14HG D 16.2 »
N. Beerenwinkel
636-0702-00 UStatistical 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.
Do14-15BSB E 4 »
14-15HG D 16.2 »
N. Beerenwinkel
636-0702-00 AStatistical Models in Computational Biology
Project work, no fixed presence required.
2 Std.N. Beerenwinkel
263-3501-00LFuture Internet Information
Previously called Advanced Computer Networks
W6 KP1V + 1U + 3A
263-3501-00 VFuture Internet1 Std.
Di13-14CAB G 51 »
A. Singla
263-3501-00 UFuture Internet1 Std.
Di14-15CAB G 51 »
A. Singla
263-3501-00 AFuture Internet3 Std.A. Singla
261-5111-00LAsset 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
W3 KP2V
261-5111-00 VAsset Management: Advanced Investments (University of Zurich)
**Course at University of Zurich**
2 Std.Uni-Dozierende
363-1000-00LFinancial EconomicsW3 KP2V
363-1000-00 VFinancial Economics2 Std.
Di15-17HG D 5.2 »
A. Bommier
401-3629-00LQuantitative Risk ManagementW4 KP2V + 1U
401-3629-00 VQuantitative Risk Management2 Std.
Do10-12ML H 44 »
P. Cheridito
401-3629-00 UQuantitative Risk Management1 Std.
Do12-13ML H 44 »
P. Cheridito
401-3888-00LIntroduction to Mathematical Finance Information
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.
W10 KP4V + 1U
401-3888-00 VIntroduction to Mathematical Finance4 Std.
Mo13-15HG G 3 »
Do08-10HG D 1.1 »
18.02.13-15HG D 3.2 »
25.02.13-15HG D 3.2 »
M. Larsson
401-3888-00 UIntroduction to Mathematical Finance
Wed 14-15 or Wed 15-16
1 Std.
Mi14-15HG F 26.3 »
15-16HG F 26.3 »
M. Larsson
401-3936-00LData Analytics for Non-Life Insurance PricingW4 KP2V
401-3936-00 VData Analytics for Non-Life Insurance Pricing2 Std.
Di16-18HG F 5 »
C. M. Buser, M. V. Wüthrich
401-4658-00LComputational Methods for Quantitative Finance: PDE Methods Information Belegung eingeschränkt - Details anzeigen W6 KP3V + 1U
401-4658-00 VComputational Methods for Quantitative Finance: PDE Methods
Bewilligung der Dozierenden für alle Studierenden notwendig.
3 Std.
Mi13-15HG D 1.2 »
Fr14-15HG D 1.2 »
L. Herrmann, K. Kirchner
401-4658-00 UComputational Methods for Quantitative Finance: PDE Methods1 Std.
Fr13-14HG D 1.2 »
15-16HG D 1.2 »
L. Herrmann, K. Kirchner
401-8915-00LAdvanced 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
W6 KP4G
401-8915-00 GAdvanced Financial Economics (University of Zurich)
**Course at University of Zurich**
4 Std.Uni-Dozierende
701-0412-00LKlimasystemeW3 KP2G
701-0412-00 GKlimasysteme2 Std.
Mi10-12CHN C 14 »
R. Knutti, I. Medhaug
701-1216-00LNumerical Modelling of Weather and Climate Information W4 KP3G
701-1216-00 GNumerical Modelling of Weather and Climate
lecture 13-15 and exercise 15-17 every 14 days
3 Std.
Do13-15CHN E 46 »
Do/2w15-17CHN G 42 »
21.03.15-17HG E 5 »
C. Schär, N. Ban
701-1226-00LInter-Annual Phenomena and Their Prediction Information W2 KP2G
701-1226-00 GInter-Annual Phenomena and Their Prediction2 Std.
Do08-10CHN E 46 »
20.03.08-10CAB G 56 »
C. Appenzeller
701-1252-00LClimate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate AdaptationW3 KP2V + 1U
701-1252-00 VClimate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation2 Std.
Mo08-10CHN F 46 »
D. N. Bresch, R. Knutti
701-1252-00 UClimate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation1 Std.
Mo10-12CHN F 46 »
D. N. Bresch, R. Knutti
851-0252-06LIntroduction to Social Networks: Theory, Methods and Applications
This course is intended for students interested in data analysis and with basic knowledge of inferential statistics.
W3 KP2G
851-0252-06 GIntroduction to Social Networks: Theory, Methods and Applications2 Std.
Mo15-17CHN E 42 »
C. Stadtfeld, T. Elmer, A. Vörös
363-1091-00LSocial Data ScienceW3 KP2G
363-1091-00 GSocial Data Science
Block course:
11.-15.2.2019
30s Std.
11.02. - 14.02.09-16HG E 1.2 »
15.02.09-16HG F 7 »
D. Garcia Becerra
227-0395-00LNeural SystemsW6 KP2V + 1U + 1A
227-0395-00 VNeural Systems2 Std.
Mo09-11LFV E 41 »
R. Hahnloser, M. F. Yanik, B. Grewe
227-0395-00 UNeural Systems1 Std.
Mo11-12LFV E 41 »
15.04.11-13HG E 26.1 »
11-13HG E 26.3 »
29.04.11-13HG E 19 »
11-13HG E 27 »
R. Hahnloser, M. F. Yanik, B. Grewe
227-0395-00 ANeural Systems1 Std.R. Hahnloser, M. F. Yanik, B. Grewe
227-0973-00LTranslational Neuromodeling Information W8 KP3V + 2U + 1A
227-0973-00 VTranslational Neuromodeling3 Std.
Di09-12HG F 26.3 »
K. Stephan
227-0973-00 UTranslational Neuromodeling2 Std.
Fr14-16ETZ E 6 »
31.05.13-20ETZ E 6 »
K. Stephan
227-0973-00 ATranslational Neuromodeling
No presence required.
Creative task outside the regular weekly exercises.
1 Std.K. Stephan
227-1032-00LNeuromorphic Engineering II Information
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
W6 KP5G
227-1032-00 GNeuromorphic Engineering II
**together with University of Zurich**

Vorlesung: 13-15
Übungen: 15-18
5 Std.
Di13-15I55 G 20 »
15-18I35 E 30 »
T. Delbrück, G. Indiveri, S.‑C. Liu
227-1034-00LComputational Vision (University of Zurich) Information
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
W6 KP2V + 1U
227-1034-00 VComputational Vision (University of Zurich)
**Course at University of Zurich**
2 Std.
Do17-19I35 F 32 »
D. Kiper
227-1034-00 UComputational Vision (University of Zurich)
**Course at University of Zurich**
Exercise dates by arrangement.
1 Std.n. V.D. Kiper
851-0739-01LBuilding a Robot Judge: Data Science For the Law
Particularly suitable for students of D-INFK, D-ITET, D-MTEC
W3 KP2V
851-0739-01 VBuilding a Robot Judge: Data Science For the Law2 Std.
Mo13-15LFW C 5 »
E. Ash
851-0739-02LBuilding a Robot Judge: Data Science for the Law (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.
W2 KP2V
851-0739-02 VBuilding a Robot Judge: Data Science for the Law (Course Project)
Mondays, 1pm-3pm
28s Std.E. Ash
851-0740-00LBig Data, Law, and Policy Belegung eingeschränkt - Details anzeigen
Number of participants limited to 35

Students will be informed by 3.3.2019 at the latest.
W3 KP2S
851-0740-00 SBig Data, Law, and Policy
Bewilligung der Dozierenden für alle Studierenden notwendig.
2 Std.
Mi14-15IFW E 42 »
20.02.13-15IFW A 36 »
S. Bechtold, T. Roscoe, E. Vayena
363-1100-00LRisk Case Study Challenge Belegung eingeschränkt - Details anzeigen
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.
W3 KP2S
363-1100-00 SRisk Case Study Challenge Für Fachstudierende und Hörer/-innen ist eine Spezialbewilligung der Dozierenden notwendig.2 Std.
Mo12-14LEE E 101 »
B. J. Bergmann, A. Bommier, S. Feuerriegel