Skip to content

Course plan

Andreas Bjerre-Nielsen edited this page Apr 9, 2019 · 6 revisions

Teaching plan (preliminary)

Session Lecture date Exercise date Lecturer
#1: Intro and sampling Feb. 5 Feb. 6 ABN
#2: ANN 1 Feb. 12 Feb. 13 UA
#3: ANN 2 Feb. 19 Feb. 20 UA
#4: RNNs Feb. 26 Feb. 27 UA
#5: Network 1 Mar. 5 Mar. 6 UA
#6: Network 2 Mar. 12 Mar. 13 UA
#7: Network 3 Mar. 19 Mar. 20 ABN
#8: Network 4 Mar. 26 Mar. 27 ABN
#9: Spatial 1 Apr. 2 Apr. 3 ABN
#10: Spatial 2 Apr. 9 Apr. 10 ABN
EASTER BREAK
#11: Text 1 Apr. 23 Apr. 24 SR
#12: Text 2 Apr. 30 Apr. 1 SR
#13: Text 3 May 7 May 8 SR
#14: Q&A May 14 May 15 ABN

Assignment schedule

Assignment Due date
Assignment 0: Recap Feb. 5
Assignment 1: Machine learning Mar. 5
Assignment 2: Networks Apr. 2
Assignment 3: Spatial data Apr. 23
Assignment 4: Text as data May 16

Clone this wiki locally