ESI 6617
High-Dimensional Data Analytics
Covers techniques in high-dimensional data analytics that are particularly beneficial to industrial applications, including manufacturing, agricultural, and healthcare systems. It focuses on the analysis of functional data (e.g., spatial or temporal data), multi-channel data, and structured images and point clouds.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: ESI 6325 with a minimum grade of C or ESI 6420 with a minimum grade of C.
Sources
- Course catalogue ↗2025-2026