Nordic Informatics Network in the Agricultural Sciences

Pattern Recognition in high dimensional data and complex structures

DvR

Dietrich von Rosen

DR

Dirk Repsilber

AT

Alexei Teterukovskiy

TP

Tatjana Pavlenko

Sunday 6 June:

• Arrival 
• Accommodation (check in time >15.00)
• Registration  (at Campus/Center of Biostochastics), 17.00- 
• Get together, 18.00-

Monday 7 June

• 09.00-09.20: Introduction, DvR
• 09.20-09.40: Aims of the course, DvR
• 09.55-10.50: Basic ideas in multivariate statistical analysis, DvR
• 11.00-12.00: Introduction to Discriminant analysis, DvR
• 13.00-13.50: Introduction to R, DR
• 14.00-14.45: Introduction to SAS, DvR
• 15.15-17.30: Computer lab    R, DR

Tuesday 8 June

• 09.00-10.50: Discriminant analysis, DvR
• 11.00-12.00: Introduction Cluster to cluster analysis, DvR
• 13.30-14.30: Introduction to microarrays, DR
• 15.00-17.00: Computer lab  SAS, DvR

Wednesday 9 June

• 09.00-09.50: Cluster Analysis, DvR
• 10.00-12.00: Analysing microarrays, DR
• 13.30-14.30: Simulating gene expression data, DR
• 15.00-17.00: Computer lab (Practising 1), DR

Thursday 10 June

• 09.00-09.50: General Statistics, analysing data, tests, DvR
• 10.00-10.50: A note on multiple testing, DR
• 11.00-12.00: Bootstrapping, Classifying, DR
• 13.30-14.30: Class detection, DR
• 15.00-17.00: Computer lab (Practising 2)      

Friday 11 June

• 09.00-17.00: Project #1   8-10 groups, DR
• 12.00-13.30: Lunch
• 18.00-02.00??: Seal Safari                                                                                                                                                 

Saturday 12 June

Free day!!   Maybe!!!                                                                                                          

Sunday 13 June

• 09.00-12.00: MCMC in Remote Sensing, AT
• 13.30-14.30: More on   R, AT
• 15.00-17.00: Computer lab, AT

Monday 14 June

• 09.00-12.00: Principal component analysis, DvR
• 13.30-14.30: Factor analysis, DvR
• 15.00-17.00: Computer lab, principal components, DvR

Tuesday 15 June

• 09.00-12.00: Bayesian network classifier in a high-dimensional framework, TP                
• 13.30-14.30: Introduction to computer excercise, DvR            
• 15.00-17.00: Computer lab, high-dimensional classification, DvR
• 18.00- Conference dinner                                                                                                                   

Wednesday 16 June

• 09.00-17.00: Project work  #2, DvR
• 12.00:13.30: Lunch

Thursday 17 June

• Presentation of the projects 
• Course evaluation 

Friday 18 June

• Departure

Author: phd@dina.kvl.dk. Updated: 26 maj 2004