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 19
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 Methods in Combinatorics (2)We, 10.15-12.00
ETH HG E 1.1
Sudakov
Algebraic Methods in Combinatorics (U) ()Mo, 15.15-16.00
ETH HG D 1.1
Sudakov
Algebraic Topology I (3)We, 10.15-12.00
ETH HG D 3.2
Fr, 13.15-15.00
ETH HG D 3.2
Sisto
An introduction to machine learning (2)Tu, 10.15-12.00
Y17M05
We, 08.00-09.45
Y27H28
Th, 15.00-17.00
Y13M12
Fr, 10.15-12.00
Y27H28
Nikeghbali
Bayesian Statistics (2)Tu, 15.15-17.00
ETH HG G 3
Sigrist
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
Combinatorics of words (2)Th, 15.00-17.00
Y27H28
Bouvel
Die Gödel'schen Sätze (2)Tu, 10.15-12.00
ETH HG D 5.2
Th, 13.15-14.00
ETH ML F 39
Halbeisen
Die Gödel'schen Sätze (U) ()Th, 14.15-15.00
ETH ML F 39
Halbeisen
Ergodic theory (3)Mo, 10.15-12.00
Y27H26
Tu, 10.15-12.00
Y27H12
Th, 10.15-12.00
Y35F47
Gorodnik
Étale cohomology (3)Mo, 10.15-12.00
Y27H28
Tu, 10.15-12.00
Y27H28
The first date of the lecture is Monday 30.09.2019
Ayoub
Field Theory with Symmetries and the Batalin-Vilkovisky Formalism (1)Mo, 15.45-17.30
ETH HIT F 12
Schiavina
Four-Manifolds (2)Tu, 13.15-15.00
ETH HG G 26.5
Smirnov
Fundamentals of Mathematical Statistics (2)Tu, 08.15-10.00
ETH HG E 5
We, 10.15-12.00
ETH HG F 3
Van de Geer
Fundamentals of Mathematical Statistics (U) ()Tu, 12.15-13.00
ETH HG E 1.1
Van de Geer
Generalized complex geometry (3)Mo, 15.00-17.00
Y27H26
We, 10.15-12.00
Y27H46
Mantovani
Generalized Regression (3)Tu, 09.00-11.00
Y27H46
Tu, 11.15-12.00
Y27H46
Hothorn
High-Dimensional Statistics (2)Th, 08.15-10.00
ETH HG D 7.1
Bühlmann
Image Analysis and Computer Vision (2)Th, 13.15-16.00

Van Gool
Image Analysis and Computer Vision (U) ()Th, 16.15-17.00

Van Gool
Information Theory I (3)We, 13.15-17.00

Lapidoth
Introduction to Lie Groups (3)Tu, 10.15-12.00
ETH HG D 3.2
alternating to exercises
Nelson
Introduction to Lie Groups (U) ()alternating to course
Nelson
Introduction to quantum groups (3)Tu, 13.00-14.45
Y27H46
Th, 08.00-09.45
Y27H28
Safronov
Introduction to String Theory (2)Tu, 08.45-10.30
ETH HPV G 5
Hoare
Introduction to String Theory (U) ()We, 09.45-10.30
ETH HCI J 3
Hoare
Kombinatorik II (1)We, 17.15-19.00
ETH HG G 26.5
Hungerbühler
Kryptographie (3)Mo, 10.15-12.00
Y27H25
Tu, 08.00-09.45
Y27H25
Th, 09.00-11.00
Y27H26
Th, 13.00-14.45
Y27H12
Rosenthal
Likelihood inference (3)Furrer
Likelihood inference (3)We, 09.15-11.00
Y27H12
Mi 11-12h, Räume: Y27-H-12 & Y23-G-04
Furrer
Machine Learning of Dynamic Processes with Applications to Forecasting (2)Th, 10.15-12.00
ETH HG G 43
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 E 1.1
Th, 08.15-10.00
ETH ML F 39
Teichmann
Mathematical Finance (U) ()Fr, 10.15-12.00
ETH ML F 39
Teichmann
Mathematical Tools in Machine Learning (2)Th, 10.15-12.00
ETH HG E 5
Balabdaoui
Neural Network Theory (2)Mo, 09.15-11.00
ETH HG E 3
Bölcskei
Neural Network Theory (U) ()Mo, 11.15-12.00
ETH HG E 3
Bölcskei
Numerical Analysis of Stochastic Ordinary Differential Equations (2)Mo, 15.15-17.00
ETH HG D 1.2
We, 13.15-14.00
ETH HG E 1.1
Kirchner
Numerical Analysis of Stochastic Ordinary Differential Equations (U) ()We, 14.15-15.00
ETH HG D 7.1
Kirchner
Numerical Methods for Elliptic and Parabolic PDEs (3)Tu, 10.15-12.00
ETH HG E 21
Th, 08.15-10.00
ETH HG E 1.2
Schwab
Numerical Methods for Elliptic and Parabolic PDEs (U) ()We, 09.15-10.00
ETH HG E 1.2
Schwab
O-Minimality and Diophantine Applications (1)Th, 15.15-17.00
ETH HG G 26.1
Optimal Transport (2)Mo, 13.15-15.00
ETH HG D 1.1
Figalli
p-Adic Galois Representations (2)Mo, 10.15-12.00
ETH ML J 37.1
Practical Introduction to the Statistical Computing Environment R (1)Zeiten und Raum: siehe VVZ!
Hug Peter
Quantum Field Theory I (3)Mo, 13.45-15.30
ETH HPV G 5
Th, 08.45-10.30
ETH HPV G 5
Beisert
Quantum Field Theory I (U) ()Th, 14.45-16.30
ETH HCI J 7
Fr, 09.45-11.30
ETH HIT J 53
Beisert
Random Walks on Transitive Graphs (2)Tu, 10.15-12.00
ETH HG E 33.3
Tassion
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
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
Monday 11:15 - 12:00, Room: Y01-F-50
Robinson
Statistical Physics (3)Tu, 12.45-14.30
ETH HPV G 5
We, 13.45-15.30
ETH HPV G 5
Graf
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 HIT K 51
Graf
Topics in Analytic Inequalities (1)We, 12.15-13.45
Y27H28
Rassias
Topics in Modern Analytic Number Theory (2)We, 10.15-12.00
ETH HG G 43
Topics in renormalization theory of maps (2)Tu, 15.00-17.00
Y27H28
Avila
Topics on elliptic PDEs (3)Mo, 15.00-17.00
Y27H28
We, 15.00-17.00
Y27H12
Ros-Oton
Weak Convergence Methods for Nonlinear Partial Differential Equations (2)Tu, 10.15-12.00
ETH HG G 43
Evans

Additional Courses: see semester program of ETH and UZH