Search result: Courses in Autumn Semester 2022

Computational Biology and Bioinformatics Master Information
More information at: Link
Core Courses
Please note that the list of core courses is a closed list. Other courses cannot be added to the core course category in the study plan. Also the assignments of courses to core subcategories cannot be changed.
Students need to pass at least one course in each core subcategory.
A total of 40 ECTS needs to be acquired in the core course category.
Bioinformatics
Please note that all Bioinformatics core courses are offered in the autumn semester
NumberTitleTypeECTSHoursLecturers
636-0009-00LEvolutionary DynamicsW6 credits2V + 1U + 2A
636-0009-00 VEvolutionary Dynamics
Attention: lecture starts on Thursday, September 29
Lecture and tutorial will take place via Zoom (flipped classroom) - rooms on campus remain blocked for students.
2 hrs
Thu09:15-11:00BSA E 46 »
09:15-11:00CAB G 52 »
N. Beerenwinkel
636-0009-00 UEvolutionary Dynamics
Lecture and tutorial will take place via Zoom (flipped classroom) - rooms on campus remain blocked for students.
1 hrs
Thu11:15-12:00BSA E 46 »
11:15-12:00CAB G 52 »
N. Beerenwinkel
636-0009-00 AEvolutionary Dynamics
Project Work (compulsory continuous performance assessment), no fixed presence required.
2 hrsN. Beerenwinkel
636-0017-00LComputational BiologyW6 credits3G + 2A
636-0017-00 GComputational Biology
The lecture will be held each Monday (16-18 h) either in Zurich or Basel and will be transmitted via videoconference to the second location. Tutorials will happen in both locations.
Tutorials in Zürich: Monday 18-19h (HG D 16.2)
Tutorials in Basel: Thursday 12-13h (BSA E 46)
In case you do not have your ETH card authorized for the campus in Basel already, please send an email to Link in case you want to participate in the course in person to inquire for a visitor badge.
The lecture on Monday will also be available for participation via Zoom.
3 hrs
Mon16:15-18:00BSA E 46 »
16:15-18:00HG D 16.2 »
18:15-19:00HG D 16.2 »
Thu12:15-13:00BSA E 46 »
T. Vaughan, C. Magnus, T. Stadler
636-0017-00 AComputational Biology
Project Work (compulsory continuous performance assessments), no fixed presence required.
2 hrsT. Vaughan, T. Stadler
262-6100-00LEvolutionary GeneticsW4 credits3G
262-6100-00 GEvolutionary Genetics (University of Basel)
**Course at University of Basel**
Students need to register with the University of Basel for this course!
Link
3 hrsexternal organisers
262-6110-00LBioinformatics AlgorithmsW4 credits3G
262-6110-00 GBioinformatics Algorithms (University of Basel)
**Course at University of Basel**
Students need to register with the University of Basel for this course!
Link
3 hrsexternal organisers
401-6282-00LStatistical Analysis of High-Throughput Genomic and Transcriptomic Data (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: STA426

Mind the enrolment deadlines at UZH:
Link
W5 credits3G
401-6282-00 GStatistical Analysis of High-Throughput Genomic and Transcriptomic Data (University of Zurich)
**Course at University of Zurich**
3 hrs
Mon09:00-12:00UNI ZH .
H. Rehrauer, M. Robinson
Biophysics
NumberTitleTypeECTSHoursLecturers
262-6106-00LCurrent Topics in Biophysics Restricted registration - show details W6 credits3G
262-6106-00 GCurrent Topics in Biophysics (University of Uni Basel) Special students and auditors need a special permission from the lecturers.
**Course at the University of Basel**
Students need to register with the University of Basel for this course!
Link
3 hrsexternal organisers
636-0104-00LBiophysical MethodsW4 credits3G
636-0104-00 GBiophysical Methods
Attention: Lecture starts on Wednesday, September 28
This lecture will take place in classroom in Basel.
In case you do not have your ETH card authorized for the campus in Basel already, please send an email to Link in case you want to participate in the course in person to request campus access.
3 hrs
Wed13:15-16:00BSD G 205 »
D. J. Müller
529-0004-01LClassical Simulation of (Bio)Molecular Systems Information W6 credits4G
529-0004-01 GClassical Simulation of (Bio)Molecular Systems
2 hr lecture + 2 hr exercise session in the computer room
Either on Tuesdays 7:30-9:30 a.m. or on Thursdays 7:45-9:45 a.m.
The course was previously named CSCBP.
4 hrs
Tue09:45-11:30HCI D 2 »
P. H. Hünenberger, J. Dolenc, S. Riniker
Biosystems
NumberTitleTypeECTSHoursLecturers
636-0007-00LComputational Systems Biology Information W6 credits3V + 2U
636-0007-00 VComputational Systems Biology3 hrs
Wed14:15-17:00HG D 3.2 »
J. Stelling
636-0007-00 UComputational Systems Biology2 hrs
Fri10:15-12:00HG D 1.2 »
J. Stelling
636-0706-00LSpatio-Temporal Modelling in Biology Information W4 credits3G
636-0706-00 GSpatio-Temporal Modelling in Biology
Friday 10:15-11:00 Tutorial (Zoom)
Friday 11:15-12:00 Q&A Lecture (Zoom)

The first lecture will take place on Friday, September 23, 2022.
The first tutorial will take place on Friday, September 30, 2022.

This course take place online. Reserved rooms will remain blocked on campus for students to follow the course from there.
3 hrs
Fri10:15-11:00HG D 3.3 »
11:15-12:00HG D 3.3 »
D. Iber
636-0117-00LMathematical Modelling for Bioengineering and Systems Biology Information W4 credits3G
636-0117-00 GMathematical Modelling for Bioengineering and Systems Biology
Thursday 9.15-10 Tutorial (Zoom)
Thursday 10.15-11 Q&A Lecture (Zoom)
Online only.
The first tutorial will take place on Thursday, September 29, 2022 and will ofer an introduction to Matlab.
The first lecture will take place on Thursday, September 29, 2022.
3 hrs
Thu09:15-10:00BSD G 205 »
10:15-11:00BSD G 205 »
D. Iber
Data Science
NumberTitleTypeECTSHoursLecturers
636-0018-00LData Mining IW6 credits3G + 2A
636-0018-00 GData Mining I
Takes place at the D-BSSE in Basel and is transmitted per video conference to Zürich (HG D16.2)
Tutorial: 8-9h, Lecture: 9-11h.
ATTENTION: Course starts on Wednesday, September 28
3 hrs
Wed08:15-11:00BSA E 46 »
08:15-11:00HG D 16.2 »
K. M. Borgwardt
636-0018-00 AData Mining I
Project Work (compulsory continuous performance assessment), no fixed presence required.
2 hrsK. M. Borgwardt
252-0535-00LAdvanced Machine Learning Information W10 credits3V + 2U + 4A
252-0535-00 VAdvanced Machine Learning
Freitag 8-10 HG F1 mit Videoübertragung ins HG F3
3 hrs
Thu15:15-16:00ETA F 5 »
Fri08:15-10:00HG F 1 »
08:15-10:00HG F 3 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 UAdvanced Machine Learning
Tutorials and QA sessions:
Please attend only the tutorial assigned to you by the first letter of your surname. In case of collisions, please attend via Zoom the last tutorial of the week or watch its recording later. We do not attend requests to change tutorials. QA sessions will happen fully remotely with no recording happening.

Wed 14-16 - CAB 61 - surname A-L
Fri 14-16 - CAB G1 - surname M-Z (offered also via Zoom to anyone)
Thu 17-18 (QA session) - Fully virtual through Zoom

All tutorial sessions are identical.
2 hrs
Wed14:15-16:00CAB G 61 »
Fri14:15-16:00CAB G 61 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
4 hrsJ. M. Buhmann, C. Cotrini Jimenez
636-0101-00LSystems GenomicsW4 credits3G
636-0101-00 GSystems Genomics
Lecture: Wednesday 11-13.
Tutorial: Thursday, 8-9
The lecture will start on Wednesday, September 28.
Lecture and tutorial will be held on-site with streaming via Zoom.
3 hrs
Wed11:15-13:00BSA E 46 »
Thu08:15-09:00BSA E 46 »
B. Treutlein, C. Beisel, Z. He
Seminar
Compulsory seminar.
NumberTitleTypeECTSHoursLecturers
636-0704-00LComputational Biology and Bioinformatics Seminar Restricted registration - show details
Number of participants limited to 30
The seminar is addressed primarily at students enrolled in the MSc CBB programme.
Students of other ETH study programmes interested in this course need to ask the lecturer for permission to enrol in the course.

The Seminar will be offered in autumn semester in Basel (involving professors and lecturers from the University of Basel) and in spring semester in Zurich (involving professors and lecturers from the University of Zurich). Professors and lecturers from ETH Zurich are involved in both semesters.
O2 credits2S
636-0704-00 SComputational Biology and Bioinformatics Seminar
ATTENTION: Lecture starts on 29.09.2022
In case you do not have your ETH card authorized for the campus in Basel already, please send an email to Link in case you want to participate in the course in person to request campus access.
2 hrs
Thu14:15-16:00BSD G 205 »
N. Beerenwinkel, K. M. Borgwardt, D. Iber, M. H. Khammash, T. Stadler, J. Stelling
Advanced Courses
A total of 30 ECTS needs to be acquired in the Advanced Courses category. Thereof at least 16 ECTS in the Theory and at least 10 ECTS in the Biology category.
Note that some of the lectures are being recorded: Link
Theory
At least 16 ECTS need to be acquired in this category.
NumberTitleTypeECTSHoursLecturers
401-0663-00LNumerical Methods for Computer Science Information W7 credits2V + 2U + 2P
401-0663-00 VNumerical Methods for Computer Science
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
Thu10:15-12:00HG F 1 »
20.09.16:15-18:00HG F 1 »
27.09.16:15-18:00HG F 1 »
R. Hiptmair
401-0663-00 UNumerical Methods for Computer Science
Mon 10-12 or Mon 14-16 according to exercise group allocation.
2 hrs
Mon10:15-12:00CLA E 4 »
10:15-12:00LFW E 13 »
10:15-12:00ML H 41.1 »
10:15-12:00ML J 34.1 »
10:15-12:00ML J 34.3 »
14:15-16:00HG E 33.3 »
14:15-16:00LEE D 105 »
14:15-16:00LFW B 3 »
14:15-16:00LFW C 5 »
14:15-16:00ML F 40 »
R. Hiptmair
401-0663-00 PNumerical Methods for Computer Science
Self-study based on video tutorial and lecture notes.
2 hrs
04.11.14:15-16:00HG F 26.1 »
R. Hiptmair
263-5210-00LProbabilistic Artificial Intelligence Information Restricted registration - show details W8 credits3V + 2U + 2A
263-5210-00 VProbabilistic Artificial Intelligence
Fr 10-12 und 13-14 im ETA F5 mit Videoübertragung ins ETF E1
3 hrs
Fri10:15-12:00ETA F 5 »
10:15-12:00ETF E 1 »
13:15-14:00ETA F 5 »
13:15-14:00ETF E 1 »
A. Krause
263-5210-00 UProbabilistic Artificial Intelligence
Q&A session: Monday, 17-18, via zoom
2 hrs
Thu16:15-18:00CHN C 14 »
16:15-18:00HG F 7 »
A. Krause
263-5210-00 AProbabilistic Artificial Intelligence2 hrsA. Krause
401-0647-00LIntroduction to Mathematical OptimizationW5 credits2V + 1U
401-0647-00 VIntroduction to Mathematical Optimization2 hrs
Tue16:15-18:00HG F 5 »
D. Adjiashvili
401-0647-00 UIntroduction to Mathematical Optimization
Groups are selected in myStudies.
Wed 12-13 or Wed 16-17

The lecturer will communicate the exact lesson times of ONLINE courses.
1 hrs
Wed12:15-13:00HG D 7.2 »
16:00-17:00ON LI NE »
16:15-17:00IFW A 36 »
D. Adjiashvili
227-0225-00LLinear System TheoryW6 credits5G
227-0225-00 GLinear System Theory5 hrs
Mon09:15-12:00IFW A 36 »
Wed10:15-12:00ETZ E 6 »
J. Lygeros, A. Tsiamis
151-0575-01LSignals and Systems Information W4 credits2V + 2U
151-0575-01 VSignals and Systems
The lecture will start in the 2nd week of the Semester.
2 hrs
Thu14:15-16:00ETF C 1 »
A. Carron
151-0575-01 USignals and Systems
The exercise will start in the 2nd week of the Semester.
2 hrs
Thu16:15-18:00ETF C 1 »
A. Carron
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