Search result: Courses in Autumn Semester 2018
Computational Biology and Bioinformatics Master 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 | ||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||
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636-0009-00L | Evolutionary Dynamics | W | 6 credits | 2V + 1U + 2A | ||||||||||||||
636-0009-00 V | Evolutionary 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 27 | 2 hrs |
| N. Beerenwinkel | ||||||||||||||
636-0009-00 U | Evolutionary Dynamics Attention: Lecture and Tutorial only start Thursday, September 27 | 1 hrs |
| N. Beerenwinkel | ||||||||||||||
636-0009-00 A | Evolutionary Dynamics Project Work (compulsory continuous performance assessment), no fixed presence required. | 2 hrs | N. Beerenwinkel | |||||||||||||||
636-0017-00L | Computational Biology | W | 6 credits | 3G + 2A | ||||||||||||||
636-0017-00 G | Computational Biology The lecture will be held each Monday (15-17 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 17-18h (HG D 16.2) Tutorials in Basel: Thursday 13-14h (BSB E4) First lecture takes place Monday, Sept. 24. First tutorial in Zurich takes place Monday, Sept. 24. First tutorial in Basel takes place Thursday, Sept. 27. | 3 hrs |
| T. Stadler, C. Magnus, T. Vaughan | ||||||||||||||
636-0017-00 A | Computational Biology Project Work (compulsory continuous performance assessments), no fixed presence required. | 2 hrs | T. Stadler, C. Magnus, T. Vaughan | |||||||||||||||
262-5120-00L | Principles of Evolution: Theory (University of Zurich) 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 | W | 6 credits | 3V | ||||||||||||||
262-5120-00 V | Principles of Evolution: Theory (University of Zurich) **Course at University of Zurich** | 40s hrs | University lecturers | |||||||||||||||
262-6100-00L | Evolutionary Genetics | W | 6 credits | 5G | ||||||||||||||
262-6100-00 G | Evolutionary Genetics (University of Basel) **Course at University of Basel** Link | 5 hrs | external organisers | |||||||||||||||
262-6110-00L | Bioinformatics Algorithms | W | 4 credits | 3G | ||||||||||||||
262-6110-00 G | Bioinformatics Algorithms (University of Basel) **Course at University of Basel** Link | 3 hrs | external organisers | |||||||||||||||
Biophysics | ||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||
551-0307-00L | Molecular and Structural Biology I: Protein Structure and Function D-BIOL students are obliged to take part I and part II (next semester) as a two-semester course | W | 3 credits | 2V | ||||||||||||||
551-0307-00 V | Molecular and Structural Biology I: Protein Structure and Function | 2 hrs |
| R. Glockshuber, K. Locher, E. Weber-Ban | ||||||||||||||
262-6120-00L | Molecular Biophysics I | W | 2 credits | 2V | ||||||||||||||
262-6120-00 V | Molecular Biophysics I (University of Basel) Does not take place this semester. **Course at University of Basel** Presumably, the course will be offered again in Autumn Term 2019 | 2 hrs | external organisers | |||||||||||||||
262-6160-00L | Theoretical Biophysics | W | 4 credits | 2G | ||||||||||||||
262-6160-00 G | Theoretical Biophysics (University of Basel) **Course at University of Basel** Link | 2 hrs | external organisers | |||||||||||||||
Biosystems | ||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||
636-0007-00L | Computational Systems Biology | W | 6 credits | 3V + 2U | ||||||||||||||
636-0007-00 V | Computational Systems Biology | 3 hrs |
| J. Stelling | ||||||||||||||
636-0007-00 U | Computational Systems Biology | 2 hrs |
| J. Stelling | ||||||||||||||
636-0706-00L | Spatio-Temporal Modelling in Biology | W | 4 credits | 3G | ||||||||||||||
636-0706-00 G | Spatio-Temporal Modelling in Biology Lecture Friday 10-12 h Tutorial Friday 12-13 h | 3 hrs |
| D. Iber | ||||||||||||||
262-6130-00L | Computational Systems Biology | W | 6 credits | 3G | ||||||||||||||
262-6130-00 G | Computational Systems Biology (University of Basel) **Course at University of Basel** Link | 3 hrs | external organisers | |||||||||||||||
Data Science | ||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||
636-0018-00L | Data Mining I | W | 6 credits | 3G + 2A | ||||||||||||||
636-0018-00 G | Data Mining I Tutorial: 8-9h, Lecture: 9-11h. The tutorial and lecture will be held each Wednesday either in Zurich or Basel and will be transmitted via videoconference to the second location. Attention: Course starts on Sept. 26 | 3 hrs |
| K. M. Borgwardt | ||||||||||||||
636-0018-00 A | Data Mining I Project Work (compulsory continuous performance assessment), no fixed presence required. | 2 hrs | K. M. Borgwardt | |||||||||||||||
401-6282-00L | Statistical 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 | W | 5 credits | 3G | ||||||||||||||
401-6282-00 G | Statistical Analysis of High-Throughput Genomic and Transcriptomic Data (University of Zurich) **Course at University of Zurich** | 3 hrs |
| H. Rehrauer, M. Robinson | ||||||||||||||
252-0535-00L | Advanced Machine Learning | W | 8 credits | 3V + 2U + 2A | ||||||||||||||
252-0535-00 V | Advanced 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 |
| J. M. Buhmann | ||||||||||||||
252-0535-00 U | Advanced Machine Learning | 2 hrs |
| J. M. Buhmann | ||||||||||||||
252-0535-00 A | Advanced Machine Learning Project Work, no fixed presence required. | 2 hrs | J. M. Buhmann |
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