Carleton University · BIOM 5405

Pattern Classification and Experiment Design

Credits : 0.5 creditReference year : 2026-27

Description

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.

Prerequisites

  • Prerequisite(s): undergraduate introductory probability and statistics.

Conditions and arrangements

  • Also listed as SYSC 5405 (ELG 6102).
  • Prerequisite(s): undergraduate introductory probability and statistics.
Reference text in its original language

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.

  • Prerequisite(s): undergraduate introductory probability and statistics.
  • Also listed as SYSC 5405 (ELG 6102).

Sources and references

Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.

Source reference : https://calendar.carleton.ca/grad/courses/BIOM/

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