Search result: Course units in Spring Semester 2018
|Computational Biology and Bioinformatics Master |
More informations at: https://www.cbb.ethz.ch
|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.
Please note that all Bioinformatics core courses are offered in the autumn semester
|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||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:
|W||6 credits||3V + 1U||University lecturers|
|636-0006-00L||Computational Systems Biology: Deterministic Approaches||W||4 credits||3G||J. Stelling, D. Iber|
|636-0016-00L||Computational Systems Biology: Stochastic Approaches||W||4 credits||3G||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||S. Panke, J. Stelling|
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||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||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||K. M. Borgwardt|
|262-6190-00L||Machine Learning||W||8 credits||4G||external organisers|
|636-0704-00L||Computational Biology and Bioinformatics Seminar||O||2 credits||2S||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.
At least 18 ECTS need to be acquired in this category.
|252-0063-00L||Data Modelling and Databases||W||7 credits||4V + 2U||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||R. Hiptmair|
|401-3052-05L||Graph Theory||W||5 credits||2V + 1U||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:
|W||6 credits||2V + 1U||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, firstname.lastname@example.org.
|W||8 credits||4V + 2U + 1A||A. Krause|
|227-0558-00L||Principles of Distributed Computing||W||6 credits||2V + 2U + 1A||R. Wattenhofer, M. Ghaffari|
|401-3632-00L||Computational Statistics||W||10 credits||3V + 2U||M. H. Maathuis|
|101-0178-01L||Uncertainty Quantification in Engineering||W||3 credits||2G||B. Sudret, S. Marelli|
|263-2300-00L||How To Write Fast Numerical Code |
Does not take place this semester.
Number of participants limited to 84.
Prerequisite: Master student, solid C programming skills.
|W||6 credits||3V + 2U||M. Püschel|
|252-0526-00L||Statistical Learning Theory||W||6 credits||2V + 3P||J. M. Buhmann|
- Page 1 of 4 All