Search result: Courses in Spring Semester 2023

Computational Science and Engineering Bachelor Information
First Year Compulsory Courses
First Year Examination Block 1
Offered in the Autumn Semester
First Year Examination Block 2
NumberTitleTypeECTSHoursLecturers
401-0232-10LAnalysis 2 Information Restricted registration - show details O8 credits4V + 2U
401-0232-10 VAnalysis 2 (für EEIT und RW)4 hrs
Wed08:15-10:00HG F 1 »
Thu16:15-18:00HG F 1 »
T. Rivière
401-0232-10 UAnalysis 2 (für EEIT und RW)
Groups are selected in myStudies.
Mo 8-10 für Studiengang Rechnergestützte Wissenschaften.
Mo 8-10 oder Di 10-12 für Studiengang Elektrotechnik und Informationstechnologie gemäss Gruppeneinteilung (und umgekehrt - Di 11-12 oder Mo 9-10 - für die Übungen Komplexe Analysis).
2 hrs
Mon08:15-10:00HG E 33.5 »
08:15-10:00HG G 26.1 »
08:15-10:00HG G 26.5 »
08:15-10:00LFW C 1 »
08:15-10:00ML H 43 »
Tue10:15-12:00CHN D 46 »
10:15-12:00ETZ F 91 »
10:15-12:00HG G 26.3 »
10:15-12:00LEE C 104 »
10:15-12:00LEE D 105 »
10:15-12:00ML H 43 »
T. Rivière
401-0302-10LComplex Analysis Restricted registration - show details O4 credits3V + 1U
401-0302-10 VKomplexe Analysis
Keine Vorlesung am 5. April. Die Vorlesung wird am 26. April nachgeholt (13-14 anschliessend an die Vorlesung 12-13).
Die Vorlesungen vom 26. April 2023, 12:15-14:00 und 27. April 2023, 10:15-12:00 finden per Zoom statt (HG F 1 bleibt an diesen beiden Daten reserviert, am 26. April aber nur für die erste Vorlesungsstunde 12-13).
Zusätzliche Vorlesung am 19. Mai (12-14 im HG F 1).
3 hrs
Wed12:15-13:00HG F 1 »
Thu10:15-12:00HG F 1 »
26.04.12:00-14:00ON LI NE »
27.04.10:00-12:00ON LI NE »
19.05.12:15-14:00HG F 1 »
F. Da Lio
401-0302-10 UKomplexe Analysis
Groups are selected in myStudies.
Mo 9-10 oder Di 11-12 für Studiengang Elektrotechnik und Informationstechnologie gemäss Gruppeneinteilung (und umgekehrt - Di 10-12 oder Mo 8-10 - für die Übungen Analysis 2).
Di 11-12 für Studierende im Studiengang Elektrotechnik und Informationstechnologie, welche Analysis II: mehrere Variablen aus dem Studiengang Mathematik besuchen.
Mi 10-11 für Studiengang Rechnergestützte Wissenschaften

Zusätzlich zu den Übungen wird ein Study Center angeboten, ab der zweiten oder dritten Semesterwoche.
1 hrs
Mon09:15-10:00CAB G 56 »
09:15-10:00CAB G 59 »
09:15-10:00CHN D 42 »
09:15-10:00CHN D 48 »
09:15-10:00CLA E 4 »
Tue11:15-12:00ETZ E 7 »
11:15-12:00IFW C 31 »
11:15-12:00LEE D 101 »
11:15-12:00ML J 34.3 »
Wed10:15-11:00IFW C 31 »
10:15-11:00LFW E 13 »
F. Da Lio
402-0044-00LPhysics IIO4 credits3V + 1U
402-0044-00 VPhysik II3 hrs
Tue11:45-12:30HPH G 2 »
Wed13:45-15:30HPH G 2 »
S. P. Quanz
402-0044-00 UPhysik II
Mo 10-11 für Studiengang Interdisziplinäre Naturwissenschaften.
Di 14-15 für Studiengang Rechnergestützte Wissenschaften und Biochemie
Mi 13-14 für Studiengang Raumbezogene Ingenieurwissenschaften
Fr 11-12 für Studiengänge Chemie, Chemieingenieurwissenschaften und Raumbez. Ingenieurswiss.
1 hrs
Mon09:45-10:30HCI D 6 »
09:45-10:30HCI E 2 »
09:45-10:30HCI J 8 »
Tue13:45-14:30HCI D 2 »
13:45-14:30HCI D 6 »
13:45-14:30HCI D 8 »
13:45-14:30HCI F 2 »
Wed12:45-13:30HCI D 4 »
12:45-13:30HCI F 8 »
Fri10:45-11:30HCI D 6 »
10:45-11:30HCI E 2 »
10:45-11:30HCI F 2 »
10:45-11:30HIL F 10.3 »
S. P. Quanz
529-4000-00LChemistryO4 credits3G
529-4000-00 GChemie
Vorlesung: Di 9-11
Übungen: Di 11-12
3 hrs
Tue08:45-10:30HCI J 4 »
10:45-11:30HCI D 4 »
10:45-11:30HCI J 4 »
E. C. Meister
252-0002-00LData Structures and Algorithms Information O8 credits4V + 2U
252-0002-00 VDatenstrukturen & Algorithmen4 hrs
Mon10:15-12:00HG G 3 »
Fri08:15-10:00HG G 3 »
M. Fischer, F. Friedrich Wicker
252-0002-00 UDatenstrukturen & Algorithmen
Zusätzlich wird ein Study Center angeboten: Mittwochs von 16-18 in CAB G56 und donnerstags von 8-10 in CAB G57.
2 hrs
Fri10:15-12:00CAB G 59 »
10:15-12:00HG E 21 »
10:15-12:00LFW B 2 »
10:15-12:00RZ F 21 »
14:15-16:00CAB G 57 »
14:15-16:00CHN D 29 »
14:15-16:00CHN D 42 »
14:15-16:00CHN D 44 »
14:15-16:00CHN D 48 »
M. Fischer, F. Friedrich Wicker
Basic Courses
Block G1
All course units within Block G1 are offered in the autumn semester.
Block G2
All course units within Block G2 are offered in the autumn semester.
Block G3
NumberTitleTypeECTSHoursLecturers
401-0674-00LNumerical Methods for Partial Differential Equations
Not meant for BSc/MSc students of mathematics.
O10 credits2G + 2U + 2P + 4A
401-0674-00 GNumerical 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 hrs
Mon16:15-18:00HG F 1 »
R. Hiptmair
401-0674-00 UNumerical Methods for Partial Differential Equations
Groups are selected in myStudies.
2 hrs
Fri10:15-12:00ETZ E 8 »
10:15-12:00ETZ H 91 »
12:15-14:00ETZ E 8 »
12:15-14:00ETZ H 91 »
R. Hiptmair
401-0674-00 PNumerical Methods for Partial Differential Equations
Homework C++ coding projects for the course "Numerical Methods for Partial Differential Equations"
2 hrsR. Hiptmair
401-0674-00 ANumerical Methods for Partial Differential Equations
Video guided self-study or group-study for the course "Numerical Methods for Partial Differential Equations"
This course coincides with 401-0674-00 Numerical Methods for Partial Differential Equations, which is taught this Spring Term. All students who have to take this course must also enrol in 401-0674-00 Numerical Methods for Partial Differential Equations.
4 hrsR. Hiptmair
401-0604-00LProbability Theory and Statistics Information Restricted registration - show details O4 credits2V + 1U
401-0604-00 VWahrscheinlichkeitstheorie und Statistik (Probability Theory and Statistics)2 hrs
Mon10:15-12:00HG F 1 »
B. Acciaio
401-0604-00 UWahrscheinlichkeitstheorie und Statistik
Groups are selected in myStudies.
1 hrs
Mon13:15-14:00HG E 33.1 »
13:15-14:00HG E 33.3 »
13:15-14:00HG F 26.5 »
13:15-14:00HG G 26.5 »
13:15-14:00LFW C 1 »
13:15-14:00LFW C 4 »
13:15-14:00ML H 41.1 »
B. Acciaio
Block G4
NumberTitleTypeECTSHoursLecturers
529-0431-00LPhysical Chemistry III: Molecular Quantum Mechanics Information Restricted registration - show details O4 credits4G
529-0431-00 GPhysikalische Chemie III: Molekulare Quantenmechanik Special students and auditors need a special permission from the lecturers.
Groups are selected in myStudies.
Die Vorlesungen finden Mo 8-9 und Di 8-10 statt.
Uebungen Di 10-11 für die Studierenden der Rechnergestützten Wissenschaften.
4 hrs
Mon07:45-08:30HCI G 7 »
Tue08:00-09:35HIL E 1 »
09:45-10:30HCI D 4 »
09:45-10:30HCI D 6 »
09:45-10:30HCI E 2 »
09:45-10:30HCI F 2 »
09:45-10:30HCI J 8 »
09:45-10:30HIT K 51 »
10:45-11:30HCI D 6 »
10:45-11:30HCI E 2 »
10:45-11:30HIT F 31.1 »
Wed09:45-10:30HCI D 6 »
11:45-12:30HCI D 4 »
11:45-12:30HCI D 6 »
11:45-12:30HCI E 8 »
11:45-12:30HCI F 2 »
F. Merkt, U. Hollenstein
151-0102-00LFluid Dynamics I Restricted registration - show details O6 credits4V + 2U
151-0102-00 VFluid Dynamics I
Freitags im HG F 1 mit VIdeoübertragung ins HG F 3.

Am Freitag, 24.Februar 2023 findet keine Vorlesung statt.
4 hrs
Mon14:15-16:00ETA F 5 »
Fri14:15-16:00HG F 1 »
14:15-16:00HG F 3 »
F. Coletti
151-0102-00 UFluid Dynamics I
Groups are selected in myStudies.
Die Übungen finden ab der zweiten Semesterwoche statt.

Mo 08-10 für Maschineningenieurwissenschaften, Integrated Building Systems und Physik / Do 10-12 für Rechnergestützte Wissenschaften.
2 hrs
Mon08:15-10:00CAB G 11 »
08:15-10:00HG E 1.1 »
08:15-10:00HG E 1.2 »
08:15-10:00HG E 5 »
08:15-10:00ML H 44 »
Thu10:15-12:00HG E 1.1 »
19.05.16:15-18:00HG F 1 »
24.07.13:15-17:00HG F 1 »
13:15-17:00HG F 3 »
F. Coletti
529-0483-00LStatistical Physics and Computer Simulation Information O6 credits2V + 1U
529-0483-00 VStatistische Physik und Computer Simulation
Nach Bedarf in Englisch.
2 hrs
Tue13:45-15:30HCI J 4 »
S. Riniker, P. H. Hünenberger
529-0483-00 UStatistische Physik und Computer Simulation1 hrs
Tue15:45-16:30HCI J 4 »
S. Riniker, P. H. Hünenberger
Core Courses from Group I (Modules)
Module A
NumberTitleTypeECTSHoursLecturers
151-0116-00LHigh Performance Computing for Science and Engineering (HPCSE) for CSE Information W7 credits4G + 2P
151-0116-00 GHigh Performance Computing for Science and Engineering (HPCSE) II
This course will be offered for the last time in Spring Semester 2023.

Lecture: 14-16h
Exercises: 10-12h. The exercises begin in the second week of the semester.
4 hrs
Mon10:15-12:00ML H 44 »
14:15-16:00ML H 44 »
S. M. Martin, E. A. Economides
151-0116-00 PHigh Performance Computing for Science and Engineering (HPCSE) for CSE
This course will be offered for the last time in Spring Semester 2023.
2 hrs
Fri08:15-10:00HG E 26.1 »
S. M. Martin, E. A. Economides
Module B
NumberTitleTypeECTSHoursLecturers
401-3670-00LHigh-Performance Computing Lab for CSE Restricted registration - show details W7 credits4G + 1P
401-3670-00 GHigh-Performance Computing Lab for CSE Special students and auditors need a special permission from the lecturers.
Permission from lecturers required for all students.
4 hrs
Mon14:15-18:00HG E 41 »
O. Schenk
401-3670-00 PHigh-Performance Computing Lab for CSE1 hrsby appt.R. Käppeli
Module C
NumberTitleTypeECTSHoursLecturers
401-3670-00LHigh-Performance Computing Lab for CSE Restricted registration - show details W7 credits4G + 1P
401-3670-00 GHigh-Performance Computing Lab for CSE Special students and auditors need a special permission from the lecturers.
Permission from lecturers required for all students.
4 hrs
Mon14:15-18:00HG E 41 »
O. Schenk
401-3670-00 PHigh-Performance Computing Lab for CSE1 hrsby appt.R. Käppeli
Core Courses from Group II
Recognition of 252-0220-00L Introduction to Machine Learning as a core course implies that this course unit cannot be recognised for the robotics field of specialisation.
NumberTitleTypeECTSHoursLecturers
252-0232-00LSoftware Engineering Information W6 credits2V + 1U
252-0232-00 VSoftware Engineering2 hrs
Wed08:15-10:00HG D 1.1 »
F. Friedrich Wicker, M. Schwerhoff, H. Lehner
252-0232-00 USoftware Engineering1 hrs
Thu12:15-13:00ML F 40 »
12:15-13:00ML H 41.1 »
23.02.12:15-13:00ML F 36 »
02.03.12:15-13:00ML F 36 »
F. Friedrich Wicker, M. Schwerhoff, H. Lehner
252-0220-00LIntroduction to Machine Learning Information Restricted registration - show details
Preference is given to students in programmes in which the course is being offered. All other students will be waitlisted. Please do not contact Prof. Krause for any questions in this regard. If necessary, please contact studiensekretariat@inf.ethz.ch
W8 credits4V + 2U + 1A
252-0220-00 VIntroduction to Machine Learning
Findet im ETA F 5 mit Videoübertragung ins ETF E 1 statt
4 hrs
Tue14:15-16:00ETA F 5 »
14:15-16:00ETF E 1 »
Wed14:15-16:00ETA F 5 »
14:15-16:00ETF E 1 »
A. Krause, F. Yang
252-0220-00 UIntroduction to Machine Learning
Findet im ETA F5 mit Videoübertragung ins ETF E1 statt.
2 hrs
Fri14:15-16:00ETA F 5 »
14:15-16:00ETF E 1 »
A. Krause, F. Yang
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 hrsA. Krause, F. Yang
Fields of Specialization
Astrophysics
NumberTitleTypeECTSHoursLecturers
401-3961-00LPhysical Cosmology (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student.
UZH Module Code: AST513

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html
W10 credits4V + 2U
401-3961-00 VPhysical Cosmology (University of Zurich)
**together with University of Zurich**
4 hrsUniversity lecturers
401-3961-00 UPhysical Cosmology (University of Zurich)
**together with University of Zurich**
2 hrsUniversity lecturers
Physics of the Atmosphere
NumberTitleTypeECTSHoursLecturers
701-1216-00LWeather and Climate Models Information W4 credits3G
701-1216-00 GWeather and Climate Models
Lecture 14-16 and exercise 16-18 every 14 days
3 hrs
Thu14:15-16:00HG D 7.1 »
Thu/2w16:15-18:00HG D 7.1 »
C. Schär, D. Leutwyler, M. Wild
Chemistry
NumberTitleTypeECTSHoursLecturers
529-0474-00LQuantum ChemistryW6 credits3G
529-0474-00 GQuantenchemie
Vorlesung: Mi 14-16
Übungen: Mi 16-17
3 hrs
Wed13:45-15:30HCI J 7 »
15:45-16:30HCI H 8.1 »
M. Reiher, J. P. Unsleber, T. Weymuth
227-0161-00LMolecular and Materials Modelling Information W6 credits2V + 2U
227-0161-00 VMolecular and Materials Modelling
A hands-on course on atomistic simulations (classical and ab initio) applied to realistic systems. The exercises, focused on the analysis of calculations performed on the most advanced packages installed in the Lugano supercomputing center, will be in part based on Jupyter notebooks. Thus a basic knowledge of python is desirable.
2 hrs
Wed08:15-10:00ETZ E 9 »
D. Passerone, C. Pignedoli
227-0161-00 UMolecular and Materials Modelling
A hands-on course on atomistic simulations (classical and ab initio) applied to realistic systems. The exercises, focused on the analysis of calculations performed on the most advanced packages installed in the Lugano supercomputing center, will be in part based on Jupyter notebooks. Thus a basic knowledge of python is desirable.
2 hrs
Wed10:15-12:00ETZ E 9 »
D. Passerone, C. Pignedoli
Fluid Dynamics
NumberTitleTypeECTSHoursLecturers
151-0208-00LComputational Methods for Flow, Heat and Mass Transfer ProblemsW4 credits4G
151-0208-00 GComputational Methods for Flow, Heat and Mass Transfer Problems4 hrs
Wed08:15-12:00ML F 39 »
D. W. Meyer-Massetti
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