HS 19

Title (Credits)Time & PlaceInstructor
An introduction to machine learning ()Tu, 10.15-12.00
Y27H25
Nikeghbali
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 ()Th, 15.00-17.00
Y27H28
Bouvel
Ergodic theory ()Tu, 10.15-12.00
Y27H12
Th, 10.15-12.00
n.n.
Gorodnik
Étale cohomology ()Mo, 10.15-12.00
Y27H28
Tu, 10.15-12.00
Y27H28
Ayoub
Generalized Regression (3)Tu, 09.00-11.00
Y27H46
Tu, 11.15-12.00
Y27H46
Hothorn
Introduction to quantum groups ()Tu, 13.00-14.45
Y27H46
Th, 08.00-09.45
Y27H28
Safronov
Likelihood inference (3)We, 09.15-11.00
Y27H12
Mi 11-12h, Räume: 27-H-12 & TBA
Furrer
Practical Introduction to the Statistical Computing Environment R (1)Hug Peter
Statistical Analysis of High-Throughput Genomic and Transcriptomic Data (3)Mo, 09.00-11.00

Monday 11:15 - 12:00, Room: Y01-F-50
Robinson
Topics in Analytic Inequalities (1)We, 12.15-13.45
Y27H46
Rassias
Topics on elliptic PDEs (3)Mo, 13.00-14.45
Y27H12
We, 15.00-17.00
Y27H12
Ros-Oton

Additional Courses: see semester program of ETH and UZH