Search result: Course units in Autumn Semester 2019

Doctoral Department of Mathematics Information
More Information at: Link

The list of courses (together with the allocated credit points) eligible for doctoral students is published each semester in the newsletter of the ZGSM.
Link
WARNING: Do not mistake ECTS credits for credit points for doctoral studies!
Graduate School
Official website of the Zurich Graduate School in Mathematics:
Link
NumberTitleTypeECTSHoursLecturers
401-5001-69LTopics in Modern Analytic Number Theory Information W0 credits2VW. Duke
401-5003-69LWeak Convergence Methods for Nonlinear Partial Differential Equations Information W0 credits2VC. Evans
401-5005-69LMachine Learning of Dynamic Processes with Applications to Forecasting Information W0 credits2VJ. P. Ortega Lahuerta
401-3225-00LIntroduction to Lie Groups Information W8 credits4GP. D. Nelson
401-4117-69Lp-Adic Galois RepresentationsW4 credits2VM. Mornev
401-3001-61LAlgebraic Topology I Information W8 credits4GA. Sisto
401-4351-69LOptimal TransportW4 credits2VA. Figalli
401-4657-00LNumerical Analysis of Stochastic Ordinary Differential Equations Information
Alternative course title: "Computational Methods for Quantitative Finance: Monte Carlo and Sampling Methods"
W6 credits3V + 1UK. Kirchner
401-3651-00LNumerical Analysis for Elliptic and Parabolic Partial Differential Equations Information
Course audience at ETH:
3rd year ETH BSc Mathematics and MSc Mathematics and MSc Applied Mathematics students.
Other ETH-students are advised to attend the course
"Numerical Methods for Partial Differential Equations" (401-0674-00L) in the CSE curriculum during the spring semester.
W10 credits4V + 1UC. Schwab
401-4785-00LMathematical and Computational Methods in PhotonicsW8 credits4GH. Ammari
401-4597-67LRandom Walks on Transitive Graphs Information W4 credits2VV. Tassion
401-4619-67LAdvanced Topics in Computational Statistics
Does not take place this semester.
W4 credits2Vnot available
401-4623-00LTime Series Analysis
Does not take place this semester.
W6 credits3GN. Meinshausen
401-3627-00LHigh-Dimensional StatisticsW4 credits2VP. L. Bühlmann
401-3619-69LMathematics Tools in Machine LearningW4 credits2GF. Balabdaoui
401-3628-14LBayesian StatisticsW4 credits2VF. Sigrist
401-4889-00LMathematical Finance Information W11 credits4V + 2UJ. Teichmann
402-0861-00LStatistical PhysicsW10 credits4V + 2UG. M. Graf
401-3059-00LCombinatorics IIW4 credits2GN. Hungerbühler
Seminars
NumberTitleTypeECTSHoursLecturers
401-4600-69LStudent Seminar in Probability Information
Limited number of participants. Registration to the seminar will only be effective once confirmed by email from the organisers.

This Student Seminar in Probability will be at an advanced level (dealing with current research topics), and the participants will be at a doctoral level or postdocs. Of course, non-participants are welcome to attend the various talks of the seminar.
W4 credits2SA.‑S. Sznitman, J. Bertoin, V. Tassion
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