Carleton University · NURS 3016

Introduction to AI and ML in Healthcare

Credits : 0.25 creditReference year : 2026-27

Description

Fundamentals of AI and ML in healthcare, covering data classification, mining, ethical data use, and exploring AI/ML architectures.

Prerequisites

  • Prerequisite(s): NURS 2016 . Restricted to Bachelor of Science in Nursing with RN Prescribing students.

Conditions and arrangements

  • Prerequisite(s): NURS 2016 . Restricted to Bachelor of Science in Nursing with RN Prescribing students.
  • Lectures three hours a week.
Reference text in its original language

Fundamentals of AI and ML in healthcare, covering data classification, mining, ethical data use, and exploring AI/ML architectures.

  • Prerequisite(s): NURS 2016 . Restricted to Bachelor of Science in Nursing with RN Prescribing students.
  • Lectures three hours a week.

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/undergrad/courses/NURS/

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