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BIOM 5405 [0.5 credit] (BMG 5305) Pattern Classification and Experiment Design

Introduction to a variety of supervised and unsupervised pattern classification techniques with emphasis on correct application. Statistically rigorous experimental design and reporting of performance results. Case studies will be drawn from various fields including biomedical informatics.
Also listed as SYSC 5405 (ELG 6102).
Prerequisite(s): undergraduate introductory probability and statistics.


Biomedical Engineering

http://calendar.carleton.ca/grad/gradprograms/biomedicalengineering/

...courses must be taken (three of BIOM 5400 , BIOM 5405 , COMP 5100 , COMP 5101 , COMP...

Data Science (Collaborative Program)

http://calendar.carleton.ca/grad/gradprograms/datascience/

...courses must be taken (three of BIOM 5400 , BIOM 5405 , COMP 5100 , COMP 5101 , COMP...