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).
Title (Credits) | Time & Place | Instructor |
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