Remark

The credits (shown in brackets) for ETH courses with the ending -DRL are relevant for all ZGSM doctoral students.

The credits for ETH courses without -DRL ending are only for doctoral students of D-Math doing their doctorate on base of the new ordinance on the doctorate. Doctoral students of I-Math or of D-Math on base of the old ordinance have to book these courses via the foundation modules (with -DRL ending).

 

 

HS 18
Title (Credits)Time & PlaceInstructor
Advanced Algorithms (2)Tu, 10.15-12.00
ETH CAB G 61
Ghaffari
Advanced Algorithms (U) ()Fr, 10.15-12.00
ETH CAB G 59
Ghaffari
Algebraic Topology I (3)We, 10.15-12.00
ETH HG D 3.2
Fr, 13.15-15.00
ETH HG D 3.2
Biran
Algebraische Geometrie (2)Mo, 10.15-12.00
Y27H28
Tu, 10.15-12.00
Y27H28
Ayoub
Clinical Biostatistics (3)Th, 09.00-09.45
HRS F05
Th, 10.15-12.00
HRS F05
Th, 15.00-15.45
HRS F05
Held
Convex Optimization in Machine Learning and Computational Finance (1)Th, 14.15-16.00
ETH HG D 7.2
Cheridito
Dynamical Systems and Ergodic Theory ()Mo, 08.00-09.45
Y27H28
Tu, 10.15-12.00
Y27H25
We, 13.00-14.45
Y27H28
Ulcigrai
Elements of renormalization theory over the circle (2)Tu, 15.00-17.00
Y27H28
Avila
Elliptische Kurven und Kryptographie (2)Tu, 10.15-12.00
ETH HG D 3.2
We, 13.15-14.00
ETH HG D 7.1
Halbeisen
Elliptische Kurven und Kryptographie (U) ()We, 14.15-15.00
ETH HG D 7.1
Halbeisen
Enumerative combinatorics ()Th, 08.00-09.45
Y27H46
Th, 15.00-17.00
Y27H28
Bouvel
Fourier Analysis in Function Space Theory (2)Th, 13.15-15.00
ETH HG G 43
Fundamentals of Mathematical Statistics (2)Tu, 08.15-10.00
ETH HG E 1.1
We, 10.15-12.00
ETH HG E 1.1
Van de Geer
Fundamentals of Mathematical Statistics (U) ()Tu, 12.15-13.00
ETH HG E 1.1
Van de Geer
Generalized Regression (3)Tu, 09.00-11.00
Y27H46
Tu, 11.15-12.00
Y27H46
Hothorn
Geometry of Surfaces (2)We, 10.15-12.00
ETH HG G 43
Baader
Image Analysis and Computer Vision (2)Th, 13.15-16.00
ETH
Van Gool
Image Analysis and Computer Vision (U) ()Th, 16.15-17.00
ETH
Van Gool
Information Theory I (3)We, 13.15-17.00
ETH
Lapidoth
Integro-differential elliptic equations (3)Mo, 13.00-14.45
Y27H46
Tu, 13.00-14.45
Y27H46
Ros-Oton
Introduction to Compressive Sensing (3)We, 13.00-14.45
Y27H12
Fr, 10.15-12.00
Y27H12
Fr, 13.00-14.45
Y27H25
Genovese
Introduction to Geometric Measure Theory (2)Tu, 09.15-10.00
ETH HG D 3.2
Th, 10.15-12.00
ETH HG F 26.5
Lang
Introduction to Lie Groups (3)Tu, 10.15-12.00
ETH HG D 5.2
Th, 08.15-10.00
ETH HG D 3.2
Burger
Introduction to String Theory (2)Tu, 09.00-10.45
ETH
Hoare
Introduction to String Theory (U) ()We, 09.45-10.30
ETH
Fr, 11.45-12.30
ETH
Hoare
Ising Model and Its Geometric Representations (2)Th, 13.15-15.00
ETH HG F 3
Tassion
Likelihood inference (3)Furrer
Likelihood inference (3)We, 09.00-11.00
Y27H12
Mi, 11:15-12:00 Uhr, Räume: 27-H-12, 22-F-62, 21-F-70
Furrer
Mathematical and Computational Methods in Photonics (3)Mo, 10.15-12.00
ETH HG G 26.5
We, 10.15-12.00
ETH HG G 26.5
Ammari
Mathematical Finance (3)Tu, 08.15-10.00
ETH HG D 1.1
Th, 08.15-10.00
ETH HG D 1.1
Schweizer
Mathematical Finance (U) ()Fr, 10.15-12.00
ETH HG D 1.1
Schweizer
Numerical Analysis of Stochastic Ordinary Differential Equations (2)Mo, 15.15-17.00
ETH HG E 1.2
We, 13.15-14.00
ETH HG E 1.1
Jentzen
Numerical Analysis of Stochastic Ordinary Differential Equations (U) ()We, 14.15-15.00
ETH HG E 1.1
We, 15.15-16.00
ETH HG D 7.1
Jentzen
Numerical Methods for Elliptic and Parabolic Partial Differential Equations ()We, 08.00-09.45
Y27H25
We, 10.15-12.00
Y27H25
Th, 08.00-09.45
Y27H25
Sauter
On Deep Artificial Neural Networks and Partial Differential Equations (2)Mo, 17.15-19.00
ETH HG E 1.2
Jentzen
Poisson geometry and deformation quantization (2)We, 15.00-17.00
Y27H25
Safronov
Practical Introduction to the Statistical Computing Environment R (1), 00.00-00.00

Hug Peter
Probabilistic Methods in Combinatorics (2)Th, 10.15-12.00
ETH HG D 7.2
Sudakov
Probabilistic Methods in Combinatorics (U) ()Mo, 15.15-16.00
ETH HG E 5
Sudakov
Quantum Field Theory I (3)Mo, 13.45-15.30
ETH HPV G 5
Th, 08.45-10.30
ETH HPV G 5
Quantum Field Theory I (U) ()Th, 14.45-16.30
ETH HIT K 51
Fr, 09.45-11.30
ETH HIT K 52
Randomized Algorithms and Probabilistic Methods (2)Tu, 13.15-14.00
ETH CAB G 51
Th, 08.15-10.00
ETH CAB G 51
Steger
Randomized Algorithms and Probabilistic Methods (U) ()Tu, 16.15-18.00
ETH CAB G 51
Steger
Reading Course: Reduced Basis Methods (2)Th, 10.15-12.00
ETH ML J 34.3
Hiptmair
Regularity Structures (2)We, 13.15-15.00
ETH HG F 26.5
Th, 16.15-17.00
ETH HG F 26.5
Teichmann
Smoothing and Nonparametric Regression with Examples (2)Fr, 10.15-12.00
ETH HG E 21
Beran-Ghosh
Statistical Analysis of High-Throughput Genomic and Transcriptomic Data (3)Mo, 09.00-11.00
Y27H46
Mo, 11.15-12.00
Y11J05
Rehrauer
Statistical Physics (3)Tu, 12.45-14.30
ETH HPV G 5
We, 13.45-15.30
ETH HPV G 5
Blatter
Statistical Physics (U) ()Tu, 14.45-16.30
ETH HIT J 53
We, 10.45-12.30
ETH HIT K 51
Fr, 14.45-16.30
ETH
Blatter
Stochastic Simulation (2)Tu, 14.15-17.00
ETH ML F 36
Sigrist
Time Series Analysis (2)We, 09.15-10.00
ETH HG D 7.1
Th, 10.15-12.00
ETH HG D 1.1
Meinshausen
Topics in Analytic Inequalities (1)We, 12.15-13.45
Y27H46
Rassias
Topics on the Gaussian Free Field (2)We, 10.15-12.00
ETH HG D 5.2
Werner
Trends in Stochastic Portfolio Theory (1)Tu, 10.15-12.00
ETH
Larsson

Additional Courses: see semester program of ETH and UZH