ECMP 5005
Data Analytics
Introduction to data analytics, including visualization and knowledge discovery in massive datasets; unsupervised learning: clustering algorithms; dimension reduction; supervised learning: pattern recognition, smoothing techniques, classification. Computer software will be used.
Topics
- visualization and knowledge discovery in massive datasets
- unsupervised learning: clustering algorithms
- dimension reduction
- supervised learning: pattern recognition
- smoothing techniques
- classification
Course catalogue
Prerequisites & course information
Prerequisite(s): enrolment in the M.Eng. - Engineering Practice program.
Sources
- Course catalogue ↗2026–2027