Data Analysis Block Course
21 Jul 2025, 09:00
→
1 Aug 2025, 12:00
Europe/Zurich
Monday 21 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
09:00
→
12:00
Distributions and sampling, Markov Chain Monte Carlo
3h
13:30
→
16:30
Exercises
3h
Tuesday 22 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
09:00
→
12:00
Least Squares and Maximum Likelihood Fitting
3h
13:30
→
16:30
Exercises
3h
Wednesday 23 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
09:00
→
12:00
Error Propagation, COWs and sWeights
3h
13:30
→
16:30
Exercises
3h
Thursday 24 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
09:00
→
12:00
Parametrization and unfolding
3h
13:30
→
16:30
Exercises
3h
Monday 28 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
09:00
→
12:00
Machine Learning (loss, ROC). Automatic differentiation
3h
13:30
→
16:30
Exercises
3h
Tuesday 29 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
09:00
→
12:00
Decision trees, AdaBoost, Gradient Boosting
3h
13:30
→
16:30
Exercises
3h
Wednesday 30 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
09:00
→
12:00
Neural Network
3h
13:30
→
16:30
Exercises
3h
Thursday 31 July
Mon 21 Jul
Tue 22 Jul
Wed 23 Jul
Thu 24 Jul
Mon 28 Jul
Tue 29 Jul
Wed 30 Jul
Thu 31 Jul
09:00
→
12:00
Normalizing flows | Transformets
3h
13:30
→
16:30
Exercises
3h