2022 schedule and schedule comments

[samumantha]

Day 1:
Intro	0:15
L: ML intro:	0:45	Mats
L: ML classif/reg/clustering	1:00	Mats
E1: Clustering	0:30	Kylli
LUNCH
L: Data preparation	0:35	Kylli/ Samantha
E2: Vector data prep	0:30	Samantha
L: Shallow modelling models	1:25	Mats
Day2
E4: Shallow modelling, regression	0:30	Samantha
E5: Shallow modelling, classification	1:15	Kylli
L: Intro to DL:	0:45	Markus
LUNCH
L: Fully connected neural networks	0:30	Markus
E6: Dense ML vector	1:00	Samantha
E7: Dense ML raster	1:00	Kylli
Day3:
L: CNN	1:10	Markus
L: Puhti overview (modules, partitions, job submission) + GPU + batch jobs	1:00	Samantha / Markus
E8: CNN data preparations	0:20	Kylli
LUNCH
E9: Keras CNN: Segmentation	2:10	Kylli
L: GIS tools and other links	0:20	Samantha

Comments:

• Vector data preparation could have more time.
• Some lectures could be split into shorter parts and mixed with exercises.
• GIS tools and other links was 10 min, could have been longer and possibly more organized

[ktiits]

Keeping it in wiki.