E10:1307-E10:1309

09:00 - 10:00 Welcome & Course Introduction

10:15 - 12.00 Common data analysis steps in life science projects (Olga)

12:00 - 13:00 lunch

13:00 - 16.30 Dimensionality reduction techniques beyond PCA (Payam)

16.30 - 17.00 Daily challenge

09:00 - 09:45 Group discussion: recap of the previous day

09:45 - 12:00 Classification algorithms, ensemble methods and optimisation strategies (Olga)

12:00 - 13:00 lunch

13:00 - 16:30 PLS methods for single and multi-omics data analysis (Payam)

16:30 - 17:00 Daily challenge

09:00 - 09:45 Group discussion: recap of the previous day

09:45 - 12:00 Mixed-effects models I (Eva)

12:00 - 13:00 lunch

13:00 - 16:30 Mixed-effects models II (Payam)

16:30 - 17:00 Daily challenge

09:00 - 09:45 Group discussion: recap of the previous day

09.45 - 12:00 Survival analysis (Eva, Olga)

12:00 - 13:00 lunch

13:00 - 16:30 Payam's fun session (latest trends)

16:30 - 17:00 Daily challenge

09:00 - 09.45 Group discussion: recap of the previous day

10:00 - 12:00 Introduction to neural networks (Olga, Payam)

12:00 - 13:00 lunch

13.00 - 16:00 Course wrap-up session (TBD)

* daily afternoon break 14:30 - 15:00