Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Search result: Courses in Autumn Semester 2018

Computational Biology and Bioinformatics Master Information
More informations at: https://www.cbb.ethz.ch/
Master Studies (Programme Regulations 2011)
Advanced Courses and Methods of Computer Science
Advanced Courses
NumberTitleTypeECTSHoursLecturers
227-1037-00LIntroduction to Neuroinformatics Information W6 credits2V + 1U
227-1037-00 VIntroduction to Neuroinformatics2 hrs
Thu08-10HG G 3 »
V. Mante, M. Cook, B. Grewe, G. Indiveri, D. Kiper, W. von der Behrens
227-1037-00 UIntroduction to Neuroinformatics1 hrs
Thu10-11HG F 3 »
V. Mante, M. Cook, B. Grewe, G. Indiveri, D. Kiper, W. von der Behrens
529-0004-01LComputer Simulation in Chemistry, Biology and Physics Information W6 credits4G
529-0004-01 GComputer Simulation in Chemistry, Biology and Physics
2 hr lecture + 2 hr exercise session in our computer room; the timing of the exercise sessions will be decided at the semester start together with the students (usually, students can choose between two alternative sessions, either on Tuesdays 7:30-9:30 a.m. or Thursdays 7:45-9:45 a.m.)
4 hrs
Tue10-12HCI D 2 »
P. H. Hünenberger
529-0733-01LEnzymesW6 credits3G
529-0733-01 GEnzymes
Lecture 2 hours on Monday, 09:45 - 11:30. 1 hour exercise according to agreement.
3 hrs
Mon09-10HCI H 8.1 »
10-12HCI J 4 »
Tue12-13HCI H 2.1 »
D. Hilvert
535-0810-00LGene Technology Information W2 credits2G
535-0810-00 GGene Technology2 hrs
Wed10-12HCI J 6 »
D. Neri
551-0307-00LMolecular and Structural Biology I: Protein Structure and Function Information
D-BIOL students are obliged to take part I and part II (next semester) as a two-semester course
W3 credits2V
551-0307-00 VMolecular and Structural Biology I: Protein Structure and Function2 hrs
Mon13-15HCI J 6 »
R. Glockshuber, K. Locher, E. Weber-Ban
551-0309-00LConcepts in Modern GeneticsW6 credits4V
551-0309-00 VConcepts in Modern Genetics
**gemeinsam mit der Universität Zürich**
4 hrs
Mon13-15HPH G 2 »
Tue08-10I15 G 60 »
Y. Barral, D. Bopp, A. Hajnal, M. Stoffel, O. Voinnet
551-0313-00LMicrobiology (Part I)W3 credits2V
551-0313-00 VMicrobiology (Part I)2 hrs
Mon10-12HCI G 7 »
W.‑D. Hardt, L. Eberl, H.‑M. Fischer, J. Piel, M. Pilhofer
551-0317-00LImmunology IW3 credits2V
551-0317-00 VImmunology I2 hrs
Tue08-10HG G 3 »
M. Kopf, A. Oxenius
401-0647-00LIntroduction to Mathematical OptimizationW5 credits2V + 1U
401-0647-00 VIntroduction to Mathematical Optimization2 hrs
Wed10-12HG D 1.1 »
D. Adjiashvili
401-0647-00 UIntroduction to Mathematical Optimization1 hrs
Wed12-13HG D 1.1 »
D. Adjiashvili
Methods of Computer Science
NumberTitleTypeECTSHoursLecturers
252-0057-00LTheoretical Computer Science Information W7 credits4V + 2U
252-0057-00 VTheoretische Informatik4 hrs
Tue08-10HG G 5 »
Fri08-10HG G 5 »
J. Hromkovic, H.‑J. Böckenhauer
252-0057-00 UTheoretische Informatik
TA-Meeting jeweils freitags von 12-13 in CAB H 52
2 hrs
Tue13-15CAB G 59 »
13-15HG E 21 »
13-15LFW C 4 »
13-15ML J 37.1 »
Wed15-17CAB G 59 »
15-17ETZ E 7 »
15-17ETZ G 91 »
15-17HG D 3.3 »
15-17HG G 26.3 »
Thu16-18HG E 33.5 »
16-18HG F 26.3 »
06.11.13-15HG E 23 »
J. Hromkovic, H.‑J. Böckenhauer
252-0535-00LAdvanced Machine Learning Information W8 credits3V + 2U + 2A
252-0535-00 VAdvanced Machine Learning
Vorlesung:
Donnerstag im ML D 28 mit Videoübertragung im ML E 12
Freitag im HG F 1 mit Videoübertragung im HG F 3
3 hrs
Thu14-15ML D 28 »
14-15ML E 12 »
Fri08-10HG F 1 »
08-10HG F 3 »
J. M. Buhmann
252-0535-00 UAdvanced Machine Learning2 hrs
Wed13-15CAB G 61 »
15-17CAB G 61 »
Thu15-17CAB G 51 »
Fri13-15CAB G 61 »
J. M. Buhmann
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
2 hrsJ. M. Buhmann
401-0663-00LNumerical Methods for CSE Information W8 credits4V + 2U + 1P
401-0663-00 VNumerical Methods for CSE
The optional mid-term and end-term exams are planned to take place on 2 November 2018, 12:30-13:00 (rooms HG G 5 and HG E 3) and on 21 December 2018, 12:30-13:00 (rooms HG G 5 and HG E 3).
4 hrs
Thu10-12HG F 1 »
Fri13-15HG F 1 »
R. Alaifari
401-0663-00 UNumerical Methods for CSE
Mon 10-12 or Mon 13-15 according to exercise group allocation.
In addition, a `Zentralpräsenz' will be offered (Mon 18-20 in HG E 41).
2 hrs
Mon10-12CLA E 4 »
10-12LFW B 3 »
10-12LFW E 13 »
10-12ML H 41.1 »
10-12ML J 34.1 »
10-12ML J 34.3 »
10-12ML J 37.1 »
13-15CAB G 51 »
13-15HG E 33.3 »
13-15LEE D 105 »
13-15LFW B 3 »
13-15LFW C 11 »
13-15LFW C 5 »
13-15ML F 40 »
R. Alaifari
401-0663-00 PNumerical Methods for CSE
programming homework
1 hrsR. Alaifari
Applications (Research Projects)
NumberTitleTypeECTSHoursLecturers
262-0500-00LLab Rotation in Experimental Biology Restricted registration - show details
Only for Computational Biology and Bioinformatics MSc, Programme Regulations 2011.
O3 credits6A
262-0500-00 ALab Rotation in Experimental Biology Special students and auditors need a special permission from the lecturers.90s hrsby appt.Lecturers
262-0600-00LLab Rotation in Computer Science Restricted registration - show details
Only for Computational Biology and Bioinformatics MSc, Programme Regulations 2011.
O3 credits6A
262-0600-00 ALab Rotation in Computer Science Special students and auditors need a special permission from the lecturers.90s hrsby appt.Lecturers
262-0700-00LLab Rotation in Bioinformatics Restricted registration - show details
Only for Computational Biology and Bioinformatics MSc, Programme Regulations 2011.
O3 credits6A
262-0700-00 ALab Rotation in Bioinformatics Special students and auditors need a special permission from the lecturers.90s hrsby appt.Lecturers
GESS Science in Perspective
» Recommended GESS Science in Perspective (Type B) for D-INFK.
» see GESS Science in Perspective: Language Courses ETH/UZH
» see GESS Science in Perspective: Type A: Enhancement of Reflection Capability
Master's Thesis
NumberTitleTypeECTSHoursLecturers
262-0800-00LMaster's Thesis Restricted registration - show details
Only students who fulfill the following criteria are allowed to begin with their master thesis:
a. successful completion of the bachelor programme;
b. fulfilling of any additional requirements necessary to gain admission to the master programme.
O30 credits64D
262-0800-00 DMaster-Arbeit Special students and auditors need a special permission from the lecturers.900s hrsby appt.Professors
Course Units for Additional Admission Requirements
The courses below are only available for MSc students with additional requirements.
NumberTitleTypeECTSHoursLecturers
252-0002-AALData Structures and Algorithms Information
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-7 credits15R
252-0002-AA RData Structures and Algorithms
Self-study course. No presence required.
210s hrsF. O. Friedrich
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