Search result: Courses in Autumn Semester 2017

Computational Biology and Bioinformatics Master Information
More informations at: Link
Master Studies (Programme Regulations 2017)
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
636-0009-00 VEvolutionary Dynamics
The lecture will be held each Thursday in Basel (BSA E 46) and will be transmitted via videoconference to Zürich (HG D 16.2).
Attention: lecture starts September 28 (no class on September 21)
Room change in Basel on Thursday, October 5: Lecture and Tutorial in room Manser
2 hrs
Thu09:15-11:00BSA E 46 »
09:15-11:00HG D 16.2 »
N. Beerenwinkel
636-0009-00 UEvolutionary Dynamics
Attention: Lecture and Tutorial only start Thursday, Sept. 28 (no class/tutorial on Thursday Sept. 21)
Room change in Basel on Thursday, October 5: Lecture and Tutorial in room Manser
1 hrs
Thu11:15-12:00BSA E 46 »
11:15-12:00HG D 16.2 »
N. Beerenwinkel
636-0009-00 AEvolutionary Dynamics
Project Work, no fixed presence required.
2s hrsN. Beerenwinkel
636-0017-00LComputational Biology Information W6 credits3G + 2A
636-0017-00 GComputational Biology
The lecture will be held each Monday either in Zurich or Basel and will be transmitted via videoconference to the second location. Tutorials will happen in both locations.
Lecture in Basel/Zürich: Monday 15-17h (BSA E46 / HG D16.2)
Tutorials in Zürich: Monday 17-18h (HG D 16.2)
Tutorials in Basel: Thursday 13-14h (BSA E60 exceptions: Sept. 28 and Oct. 5 in room Manser building 1078)
First lecture takes place Monday, Sept. 25 in room Manser building 1078 instead of BSA E46
3 hrs
Mon15:15-17:00BSA E 46 »
15:15-17:00HG D 16.2 »
17:15-18:00HG D 16.2 »
Thu13:15-14:00BSA E 60 »
06.11.17:15-18:00HG D 16.2 »
C. Magnus, T. Stadler, T. Vaughan
636-0017-00 AComputational Biology
Project Work (central element), no fixed presence required.
2 hrsC. Magnus, T. Stadler, T. Vaughan
262-5120-00LPrinciples of Evolution: Theory (University of Zurich) Information
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: BIO351

Mind the enrolment deadlines at UZH:
Link
W6 credits3V
262-5120-00 VPrinciples of Evolution: Theory (University of Zurich)
**Course at University of Zurich**
40s hrsUniversity lecturers
262-6100-00LEvolutionary GeneticsW6 credits5G
262-6100-00 GEvolutionary Genetics (University of Basel)
**Course at University of Basel**
Link
5 hrsexternal organisers
262-6110-00LBioinformatics AlgorithmsW4 credits3G
262-6110-00 GBioinformatics Algorithms (University of Basel)
**Course at University of Basel**
Link
Link
3 hrsexternal organisers
Biophysics
NumberTitleTypeECTSHoursLecturers
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
Mon12:45-14:30HCI J 6 »
R. Glockshuber, K. Locher, E. Weber-Ban
262-6120-00LMolecular Biophysics IW2 credits2V
262-6120-00 VMolecular Biophysics I (University of Basel)
**Course at University of Basel**
Link
2 hrsexternal organisers
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
Fri10:15-12:00CAB G 11 »
J. Stelling
636-0706-00LSpatio-Temporal Modelling in Biology Information W4 credits3G
636-0706-00 GSpatio-Temporal Modelling in Biology
Lecture Friday 10-12 h
Tutorial Friday 12-13 h
ATTENTION: NO LECTURES/TUTORIALS on Sep. 29th and Nov 10th
3 hrs
Fri10:15-12:00HG D 16.2 »
12:15-13:00HG D 16.2 »
D. Iber
262-6130-00LComputational Systems BiologyW6 credits3G
262-6130-00 GComputational Systems Biology (University of Basel)
**Course at University of Basel**
Link
3 hrsexternal organisers
Data Science
NumberTitleTypeECTSHoursLecturers
636-0018-00LData Mining IW6 credits3G + 2A
636-0018-00 GData Mining I
The lecture will be held each Wednesday either in Zurich or Basel and will be transmitted via videoconference to the second location.
Lecture in Basel/Zürich: Wednesday 8-11h (BSA E46 / HG D16.2)
Attention: Lecture starts on Wednesday, October 4 (No classes on 20.09. and 27.09).
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, no fixed presence required.
2 hrsK. M. Borgwardt
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.
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 .
18.09.09:00-12:00UNI ZH .
H. Rehrauer, M. Robinson
252-0535-00LMachine Learning Information W8 credits3V + 2U + 2A
252-0535-00 VMachine 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
Thu14:15-15:00ML D 28 »
14:15-15:00ML E 12 »
Fri08:15-10:00HG F 1 »
08:15-10:00HG F 3 »
J. M. Buhmann
252-0535-00 UMachine Learning2 hrs
Wed13:15-15:00CAB G 61 »
15:15-17:00CAB G 61 »
Thu15:15-17:00CAB G 51 »
Fri13:15-15:00CAB G 61 »
J. M. Buhmann
252-0535-00 AMachine Learning
Project Work, no fixed presence required.
2 hrsJ. M. Buhmann
Seminar
Compulsory seminar.
NumberTitleTypeECTSHoursLecturers
636-0704-00LComputational Biology and Bioinformatics Seminar
The Seminar will be offered in autumn semester in Basel and in spring semester in Zürich.
O2 credits2S
636-0704-00 SComputational Biology and Bioinformatics Seminar
First lecture takes place Thursday, Sept. 28
Room change: on Sept. 28 and Oct. 5 the lecture will take place in room Manser, building 1078 instead of BSA E60 Euler room.
2 hrs
Thu14:15-16:00BSA E 60 »
N. Beerenwinkel, M. Claassen, D. Iber, T. Stadler, J. Stelling
Advanced Courses
A total of 30 ECTS needs to be acquired in the Advanced Courses category. Thereof 18 ECTS in the Theory and 12 ECTS in the Biology category.
Theory
At least 18 ECTS need to be acquired in this category.
NumberTitleTypeECTSHoursLecturers
401-0663-00LNumerical Methods for CSE Information W7 credits4V + 2U
401-0663-00 VNumerical Methods for CSE
No class on 7 December 2017.
The optional mid-term and end-term exams are planned to take place on 3 November 2017, 12:30-13:00 and on 22 December 2017, 12:30-13:00.
4 hrs
Thu08:15-10:00HG G 5 »
Fri13:15-15:00HG F 1 »
03.11.12:15-13:00HG G 5 »
24.11.12:15-13:00HG G 5 »
15.12.12:15-13:00HG G 5 »
12.01.10:15-17:00HG D 1.2 »
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
Mon10:15-12:00CLA E 4 »
10:15-12:00LFW E 11 »
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 »
10:15-12:00ML J 37.1 »
13:15-15:00HG E 33.3 »
13:15-15:00HG E 33.5 »
13:15-15:00LEE D 105 »
13:15-15:00LFW C 11 »
13:15-15:00LFW E 11 »
13:15-15:00ML F 40 »
13:15-15:00NO E 11 »
R. Alaifari
263-5210-00LProbabilistic Artificial Intelligence Information W4 credits2V + 1U
263-5210-00 VProbabilistic Artificial Intelligence
Am 22. und 29. September findet die Vorlesung in HG E 7 statt!

On September 22 and 29., the lecture will take place in room HG E 7.

Ab dem 06. Oktober findet die Vorlesung im HG E 7 statt mit Videoübertragung im HG E 3.
2 hrs
Fri10:15-12:00HG E 3 »
10:15-12:00HG E 7 »
A. Krause
263-5210-00 UProbabilistic Artificial Intelligence1 hrs
Fri13:15-14:00CHN C 14 »
14:15-15:00CHN C 14 »
A. Krause
401-0647-00LIntroduction to Mathematical Optimization Information W5 credits2V + 1U
401-0647-00 VIntroduction to Mathematical Optimization2 hrs
Wed10:15-12:00HG D 1.1 »
D. Adjiashvili
401-0647-00 UIntroduction to Mathematical Optimization1 hrs
Wed12:15-13:00HG D 1.1 »
D. Adjiashvili
227-0225-00LLinear System TheoryW6 credits5G
227-0225-00 GLinear System Theory5 hrs
Mon09:15-12:00HG D 7.2 »
Thu17:15-19:00ETZ E 8 »
21.09.17:15-19:00ML D 28 »
25.09.09:15-12:00ML H 44 »
02.11.17:15-19:00ETF C 1 »
17:15-19:00ML D 28 »
12.02.12:15-14:00ETZ E 6 »
M. Kamgarpour
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
Thu13:15-15:00HG G 5 »
09.11.13:15-15:00HG F 3 »
05.02.16:15-18:00HG E 33.5 »
R. D'Andrea
151-0575-01 USignals and Systems
The exercise will start in the 3rd week of the Semester.
2 hrs
Thu15:15-17:00HG G 5 »
R. D'Andrea
529-0004-00LComputer Simulation in Chemistry, Biology and Physics Information W7 credits4G
529-0004-00 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
Tue09:45-11:30HCI D 2 »
P. H. Hünenberger
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