Search result: Courses in Spring 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 | ||||||||||||||||||||||||
Biophysics | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
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551-0307-01L | Molecular and Structural Biology II: From Gene to Protein D-BIOL students are obliged to take part I and part II as a two-semester course. | W | 3 credits | 2V | ||||||||||||||||||||
551-0307-01 V | Molecular and Structural Biology II: From Gene to Protein | 2 hrs |
| N. Ban, F. Allain, M. Pilhofer | ||||||||||||||||||||
262-5100-00L | Protein Biophysics (University of Zurich) No enrollment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: BCH304 Mind the enrolment deadlines at UZH: Link | W | 6 credits | 3V + 1U | ||||||||||||||||||||
262-5100-00 V | Protein Biophysics (University of Zurich) **Course at University of Zurich** | 3 hrs | University lecturers | |||||||||||||||||||||
262-5100-00 U | Protein Biophysics (University of Zurich) **Course at University of Zurich** | 1 hrs | University lecturers | |||||||||||||||||||||
Biosystems | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
636-0006-00L | Computational Systems Biology: Deterministic Approaches | W | 4 credits | 3G | ||||||||||||||||||||
636-0006-00 G | Computational Systems Biology: Deterministic Approaches
Students are expected to have completed the courses Computational systems biology’ and ‘Spatio-temporal modeling in biology’ (MSc Computational biology and bioinformatics), which provide the foundational knowledge for the course. | 3 hrs |
| J. Stelling, D. Iber | ||||||||||||||||||||
636-0016-00L | Computational Systems Biology: Stochastic Approaches | W | 4 credits | 3G | ||||||||||||||||||||
636-0016-00 G | Computational Systems Biology: Stochastic Approaches No Lecture on Monday, Feb. 19 Regular start of Lecture: Monday, February 26 | 3 hrs |
| M. H. Khammash, A. Gupta | ||||||||||||||||||||
636-0111-00L | Synthetic Biology I Attention: This course was offered in previous semesters with the number: 636-0002-00L "Synthetic Biology I". Students that already passed course 636-0002-00L cannot receive credits for course 636-0111-00L. | W | 4 credits | 3G | ||||||||||||||||||||
636-0111-00 G | Synthetic Biology I ATTENTION: the lecture starts at exactly 08.00 am. The lecture will be held either in Zurich or Basel and will be transmitted via videoconference to the second location. | 3 hrs |
| S. Panke, J. Stelling | ||||||||||||||||||||
Data Science | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
551-0364-00L | Functional Genomics Information for UZH students: Enrolment to this course unit only possible at ETH. No enrolment to module BIO 254 at UZH. Please mind the ETH enrolment deadlines for UZH students: Link | W | 3 credits | 2V | ||||||||||||||||||||
551-0364-00 V | Functional Genomics **together with University of Zurich** | 2 hrs |
| C. von Mering, C. Beyer, B. Bodenmiller, M. Gstaiger, H. Rehrauer, R. Schlapbach, K. Shimizu, N. Zamboni, further lecturers | ||||||||||||||||||||
636-0702-00L | Statistical Models in Computational Biology | W | 6 credits | 2V + 1U + 2A | ||||||||||||||||||||
636-0702-00 V | Statistical Models in Computational Biology The lecture will be held either in Zurich or Basel and will be transmitted via videoconference to the second location. | 2 hrs |
| N. Beerenwinkel | ||||||||||||||||||||
636-0702-00 U | Statistical Models in Computational Biology The tutorial will be held either in Zurich or Basel and will be transmitted via videoconference to the second location. | 1 hrs |
| N. Beerenwinkel | ||||||||||||||||||||
636-0702-00 A | Statistical Models in Computational Biology Project work, no fixed presence required. | 2 hrs | N. Beerenwinkel | |||||||||||||||||||||
636-0019-00L | Data Mining II Prerequisites: Basic understanding of mathematics, as taught in basic mathematics courses at the Bachelor`s level. Ideally, students will have attended Data Mining I before taking this class. | W | 6 credits | 3G + 2A | ||||||||||||||||||||
636-0019-00 G | Data Mining II 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 14-16h, Tutorial 16-17h (BSB E4 Room "Manser" / HG D16.2) | 3 hrs |
| K. M. Borgwardt | ||||||||||||||||||||
636-0019-00 A | Data Mining II Project work, no fixed presence required. | 2 hrs | K. M. Borgwardt | |||||||||||||||||||||
262-6190-00L | Machine Learning | W | 8 credits | 4G | ||||||||||||||||||||
262-6190-00 G | Machine Learning (University of Basel) **Course at University of Basel** | 4 hrs | external organisers | |||||||||||||||||||||
Seminar Compulsory seminar. | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
636-0704-00L | Computational Biology and Bioinformatics Seminar | O | 2 credits | 2S | ||||||||||||||||||||
636-0704-00 S | Computational Biology and Bioinformatics Seminar | 2 hrs |
| J. Stelling, M. Claassen, G. H. Gonnet, D. Iber, T. Stadler | ||||||||||||||||||||
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. | ||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||
252-0063-00L | Data Modelling and Databases | W | 7 credits | 4V + 2U | ||||||||||||||||||||
252-0063-00 V | Data Modelling and Databases | 4 hrs |
| G. Alonso, C. Zhang | ||||||||||||||||||||
252-0063-00 U | Data Modelling and Databases | 2 hrs |
| G. Alonso, C. Zhang | ||||||||||||||||||||
401-0674-00L | Numerical Methods for Partial Differential Equations Not meant for BSc/MSc students of mathematics. | W | 8 credits | 4V + 2U + 1A | ||||||||||||||||||||
401-0674-00 V | Numerical Methods for Partial Differential Equations Additional classes on Tuesday 27 March and 10 April 2018, 17-18 and Wednesday 11 April 2018, 16-18 in HG F 1 No classes on 16 and 17 April 2018 (the weekly exercises take place as usual) | 4 hrs |
| R. Hiptmair | ||||||||||||||||||||
401-0674-00 U | Numerical Methods for Partial Differential Equations Thu 13-15 or Fri 8-10 or Fri 10-12 (Fri 10-12 for Computational Science and Engineering Bachelor) | 2 hrs |
| R. Hiptmair | ||||||||||||||||||||
401-0674-00 A | Numerical Methods for Partial Differential Equations Attendance of lectures and tutorials for 401-0674-00 V Numerical Methods for Partial Differential Equations required. All regulations and requirements for that course apply. | 1 hrs | R. Hiptmair | |||||||||||||||||||||
401-3052-05L | Graph Theory | W | 5 credits | 2V + 1U | ||||||||||||||||||||
401-3052-05 V | Graph Theory | 28s hrs |
| B. Sudakov | ||||||||||||||||||||
401-3052-05 U | Graph Theory | 7s hrs |
| B. Sudakov | ||||||||||||||||||||
227-1034-00L | Computational Vision (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: INI402 Mind the enrolment deadlines at UZH: Link | W | 6 credits | 2V + 1U | ||||||||||||||||||||
227-1034-00 V | Computational Vision (University of Zurich) **Course at University of Zurich** | 2 hrs |
| D. Kiper, K. A. Martin | ||||||||||||||||||||
227-1034-00 U | Computational Vision (University of Zurich) **Course at University of Zurich** Exercise dates by arrangement. | 1 hrs | by appt. | D. Kiper, K. A. Martin | ||||||||||||||||||||
252-0220-00L | Introduction to Machine Learning Previously called Learning and Intelligent Systems Prof. Krause approves that students take distance exams, also if the exam will take place at a later time due to a different time zone of the alternative exam place. To get Prof. Krause's signature on the distance exam form please send it to Rita Klute, Link. | W | 8 credits | 4V + 2U + 1A | ||||||||||||||||||||
252-0220-00 V | Introduction to Machine Learning Die Vorlesung findet jeweils (Di 13-15 und Mi 13-15) im ML D 28 mit Videoübertragung im ML E 12 statt. | 4 hrs |
| A. Krause | ||||||||||||||||||||
252-0220-00 U | Introduction to Machine Learning | 2 hrs |
| A. Krause | ||||||||||||||||||||
252-0220-00 A | Introduction to Machine Learning No presence required. | 1 hrs | A. Krause | |||||||||||||||||||||
227-0558-00L | Principles of Distributed Computing | W | 6 credits | 2V + 2U + 1A | ||||||||||||||||||||
227-0558-00 V | Principles of Distributed Computing | 2 hrs |
| R. Wattenhofer, M. Ghaffari | ||||||||||||||||||||
227-0558-00 U | Principles of Distributed Computing In Gruppen | 2 hrs |
| R. Wattenhofer, M. Ghaffari | ||||||||||||||||||||
227-0558-00 A | Principles of Distributed Computing No presence required. Creative task outside the regular weekly exercises. | 1 hrs | R. Wattenhofer, M. Ghaffari | |||||||||||||||||||||
401-3632-00L | Computational Statistics | W | 10 credits | 3V + 2U | ||||||||||||||||||||
401-3632-00 V | Computational Statistics On 29 March 2018 the course takes place in HG E 3. | 3 hrs |
| M. H. Maathuis | ||||||||||||||||||||
401-3632-00 U | Computational Statistics | 2 hrs |
| M. H. Maathuis | ||||||||||||||||||||
101-0178-01L | Uncertainty Quantification in Engineering | W | 3 credits | 2G | ||||||||||||||||||||
101-0178-01 G | Uncertainty Quantification in Engineering | 2 hrs |
| B. Sudret, S. Marelli | ||||||||||||||||||||
263-2300-00L | How To Write Fast Numerical Code Number of participants limited to 84. Prerequisite: Master student, solid C programming skills. | W | 6 credits | 3V + 2U | ||||||||||||||||||||
263-2300-00 V | How To Write Fast Numerical Code Does not take place this semester. | 3 hrs | M. Püschel | |||||||||||||||||||||
263-2300-00 U | How To Write Fast Numerical Code Does not take place this semester. | 2 hrs | M. Püschel | |||||||||||||||||||||
252-0526-00L | Statistical Learning Theory | W | 6 credits | 2V + 3P | ||||||||||||||||||||
252-0526-00 V | Statistical Learning Theory | 2 hrs |
| J. M. Buhmann | ||||||||||||||||||||
252-0526-00 P | Statistical Learning Theory | 3 hrs |
| J. M. Buhmann |
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