Updated schedule

README.md

@@ -35,8 +35,8 @@ This is a preliminary lecture plan that might change during the course.
 | Lec 2	| Statistical life-time modeling and Kaplan-Meier models | 19/3 | 10:15-12:00 | [Systemet](https://link.mazemap.com/SPz2zhAZ) | [OH](lecture_notes/lec02_lifetime_modelling_KM.pdf)
 | Lec 3	| Models with covariates; Cox Proportional Hazards models | 2/4 | 13:15-12:00 | [Systemet](https://link.mazemap.com/SPz2zhAZ) | [OH](lecture_notes/lec03_cox.pdf)
 | Lec 4	| Random Survival Forest models for prognostics | 23/4 | 13:15-15:00 | [Visionen, stora konferensrummet](https://link.mazemap.com/VSNfncJ0) | [OH](lecture_notes/lec04_rsf.pdf)
-| Lec 5	| Deep Neural nets for prognostics; Mixture density models, Graph Neural Networks, Energy based models, ... | 30/4 | 10:15-12:00 | [Systemet](https://link.mazemap.com/SPz2zhAZ)
-| Lec 6	| Statistical optimal maintenance policies | 14/5 | 10:15-12:00 | [Systemet](https://link.mazemap.com/SPz2zhAZ)
+| Lec 5	| Deep Neural nets for prognostics; Mixture density models, Graph Neural Networks, Energy based models, ... | 14/5 | 10:15-12:00 | [Systemet](https://link.mazemap.com/SPz2zhAZ)
+| Lec 6	| Statistical optimal maintenance policies | TBD |  | 
 
 ## Exercises