Search result: Course units in Spring Semester 2019

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
Biophysics
NumberTitleTypeECTSHoursLecturers
551-0307-01LMolecular 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.
W3 credits2VN. Ban, F. Allain, S. Jonas, M. Pilhofer
262-5100-00LProtein Biophysics (University of Zurich) Information
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
W6 credits3V + 1UUniversity lecturers
Biosystems
NumberTitleTypeECTSHoursLecturers
636-0006-00LComputational Systems Biology: Deterministic Approaches Restricted registration - show details W4 credits3GJ. Stelling, D. Iber
636-0016-00LComputational Systems Biology: Stochastic Approaches Information W4 credits3GM. H. Khammash, A. Gupta
636-0111-00LSynthetic 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.
W4 credits3GS. Panke, J. Stelling
Data Science
NumberTitleTypeECTSHoursLecturers
551-0364-00LFunctional 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
W3 credits2VC. von Mering, C. Beyer, B. Bodenmiller, M. Gstaiger, H. Rehrauer, R. Schlapbach, K. Shimizu, N. Zamboni, further lecturers
636-0702-00LStatistical Models in Computational BiologyW6 credits2V + 1U + 2AN. Beerenwinkel
636-0019-00LData 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.
W6 credits3G + 2AK. M. Borgwardt
262-6190-00LMachine LearningW8 credits4Gexternal organisers
Seminar
Compulsory seminar.
NumberTitleTypeECTSHoursLecturers
636-0704-00LComputational Biology and Bioinformatics SeminarO2 credits2SJ. Stelling, M. Claassen, 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.
NumberTitleTypeECTSHoursLecturers
252-0063-00LData Modelling and Databases Information W7 credits4V + 2UG. Alonso, C. Zhang
401-0674-00LNumerical Methods for Partial Differential Equations
Not meant for BSc/MSc students of mathematics.
W8 credits2G + 2P + 4AR. Hiptmair
401-3052-05LGraph Theory Information W5 credits2V + 1UB. Sudakov
227-1034-00LComputational Vision (University of Zurich) Information
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
W6 credits2V + 1UD. Kiper
252-0220-00LIntroduction to Machine Learning Information Restricted registration - show details
Previously called Learning and Intelligent Systems.
W8 credits4V + 2U + 1AA. Krause
227-0558-00LPrinciples of Distributed Computing Information W6 credits2V + 2U + 1AR. Wattenhofer, M. Ghaffari
401-3632-00LComputational StatisticsW8 credits3V + 1UM. H. Maathuis
101-0178-01LUncertainty Quantification in Engineering Information W3 credits2GB. Sudret, S. Marelli
263-2300-00LHow To Write Fast Numerical Code Information Restricted registration - show details
Number of participants limited to 84.

Prerequisite: Master student, solid C programming skills.

Takes place the last time in this form.
W6 credits3V + 2UM. Püschel
252-0526-00LStatistical Learning Theory Information W7 credits3V + 2U + 1AJ. M. Buhmann
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