University of Technology Sydney

41308 Machine Learning and Industrial Data Science

Warning: The information on this page is indicative. The subject outline for a particular session, location and mode of offering is the authoritative source of all information about the subject for that offering. Required texts, recommended texts and references in particular are likely to change. Students will be provided with a subject outline once they enrol in the subject.

Subject handbook information prior to 2025 is available in the Archives.

UTS: Engineering: Mechanical and Mechatronic Engineering
Credit points: 6 cp
Result type: Grade and marks

There are course requisites for this subject. See access conditions.

Description

This subject further advances students learning in the field of industrial data science, both in theory and practice. It aims to extend students existing knowledge and skills in IIoT, advanced manufacturing, and cyber-physical systems, motivated by real-world applications. Students learn how to integrate sensor and process data with manufacturing performance metrics.