Remark

The credit units listed in the graduate course program (in brackets) are only valid for doctoral students of I-Math or doctoral students of D-Math according to the old ordinance on the doctorate. For doctoral students of D-Math according to the new ordinance on the doctorate the credit units are valid for courses with a module number ending with -DRL (ETH) or -DP (UZH) or for the Nachdiplom Lectures (ETH). For all other courses please see the information on our website.

 

The below listed graduate course program is preliminary until September 18, 2023 (start of the semester). Further courses will be added to the program and there can be changes concerning courses or credits until this date.

Weekly Calendar (Fullscreen)
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)We, 09.00-11.00
Y27H12
Mi, 11:15-12:00 Uhr, Räume: 27-H-12, 22-F-62, 21-F-70
Furrer
Likelihood inference (3)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