Remark
The credits (shown in brackets) for ETH courses with the ending -DRL as for all UZH courses 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 (in case they don't take the course via a Foundations of D-Math module and do the examination). Doctoral students of I-Math or of D-Math on base of the old ordinance have to book these courses via the foundation modules. Booking courses via a Foundations of D-Math module gives 3 credits, regardless of the specific course.
| Title (Credits) | Time & Place | Instructor |
| AI in the Sciences and Engineering (U) () | Mo, 12.15-14.00
ETH ML H 44
| Mishra |
| AI in the Sciences and Engineering (V) (6) | Th, 08.15-10.00
ETH ML H 44
| Mishra |
| Algebraic Methods in Combinatorics (U) () | Mo, 12.15-13.00
ETH HG E 21
| Sudakov |
| Algebraic Methods in Combinatorics (V) (5) | We, 10.15-12.00
ETH HG D 5.2
| Sudakov |
| Bayesian Statistics (V) (4) | Tu, 14.15-16.00
ETH ETF C 1
| Sigrist |
| Causality (G) (5) | Tu, 10.15-11.00
ETH IFW A 36
Fr, 08.15-10.00
ETH HG G 3
| Peters |
| Dynamic Programming and Optimal Control (U) () | We, 16.15-17.00
ETH HG F1
| D'Andrea |
| Dynamic Programming and Optimal Control (V) (4) | We, 14.15-16.00
ETH HG F1
| D'Andrea |
| Frequency Methods in the Theory of Elliptic and Parabolic PDEs (-DRL, V) (2) | Mo, 13.15-15.00
ETH HG G 43
| |
| Geometric Heat Flows (V) (4) | Mo, 16.15-18.00
ETH ML F 39
| Ilmanen |
| Homogeneous Dynamics and Applications (G) (7) | Th, 14.15-16.00
ETH HG D 7.2
Fr, 10.15-12.00
ETH HG D 1.1
| Einsiedler |
| Image Analysis and Computer Vision (U) () | Th, 17.15-19.00
ETH ETZ D 61.1
| Konukoglu, Erdil |
| Image Analysis and Computer Vision (V) (6) | Th, 14.15-17.00
ETH HG F1
| Konukoglu, Erdil |
| Information Theory I (G) (6) | We, 14.15-18.00
ETH ETF C 1
| Lapidoth, Moser |
| Introduction to Conformal Geometry (v) (4) | Th, 14.15-16.00
ETH LFW C 5
| Martino |
| Isoperimetric Inequalities in High-Dimensional Convex Sets (tbc) (-DRL, V) (2) | Th, 10.15-12.00
ETH HG G 43
| |
| Large Deviation Theory (V) (4) | Th, 08.15-10.00
ETH HG D 7.2
| Wang |
| Legendrian Contact Homology (V) (4) | We, 12.15-14.00
ETH CHN E 42
| Datta |
| Machine Learning in Finance and Insurance (U) () | We, 16.15-17.00
ETH HG F 5
| Cheridito |
| Machine Learning in Finance and Insurance (V) (5) | Tu, 16.15-18.00
ETH ML D 28
| Cheridito |
| Mathematical and Computational Methods in Photonics (G) (7) | Mo, 10.15-12.00
ETH HG G 26.5
We, 10.15-12.00
ETH HG G 26.5
| Ammari |
| Neural Network Theory (U) () | Tu, 12.15-13.00
ETH HG F 5
| Bölcskei |
| Neural Network Theory (V) (3) | Tu, 10.15-12.00
ETH HG F 5
| Bölcskei |
| Numerical Solutions of Stochastic Ordinary Differential Equations (V) (6) | We, 14.15-16.00
ETH HG D 5.2
Fr, 14.15-15.00
ETH HG D 3.2
| Schwab |
| Numerical Solutions of Stochastic Ordinary Partial Equations (U) () | Fr, 15.15-16.00
ETH CAB G 59
| Schwab |
| Regularity for Minimal Surfaces (V) (4) | We, 10.15-12.00
ETH HG F 26.5
| Skorobogatova |
| Singular Symplectic Structures (-DRL, V) (2) | Tu, 13.15-15.00
ETH HG G 43
| |
| Statistical Analysis of High-Throughput Genomic and Transcriptomic Data (G) (5) | Mo, 09.00-12.00
| Rehrauer, Robinson |
| Structural Graph Theory (V+A)) (5) | Tu, 10.15-12.00
ETH HG D 7.1
| Steiner |
| Topics in Riemannian Geometry (V) (6) | Mo, 14.15-16.00
ETH HG G 26.3
Th, 10.15-11.00
ETH ML F 40
| Lang |
| Topics on Stochastic Optimal Control (V) (2) | Tu, 13.15-14.00
ETH HG E 1.2
| Ricalde Guerrero |
Additional Courses: see semester program of ETH and UZH
