Carleton University · TIMG 5301

Applied Analytics for Technology Innovation Management

Credits : 0.5 creditReference year : 2026-27

Description

Application of advanced business analytics in the domain of technology innovation management and technology entrepreneurship. Topics include supervised and unsupervised machine learning, anticipatory thinking, and anomaly detection, to inform managerial judgement and support strategic and operating decisions faced by managers and entrepreneurs.

Prerequisites

  • Prerequisite(s): TIMG 5001 .

Conditions and arrangements

  • Prerequisite(s): TIMG 5001 .
Reference text in its original language

Application of advanced business analytics in the domain of technology innovation management and technology entrepreneurship. Topics include supervised and unsupervised machine learning, anticipatory thinking, and anomaly detection, to inform managerial judgement and support strategic and operating decisions faced by managers and entrepreneurs.

  • Prerequisite(s): TIMG 5001 .

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/TIMG/

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