AISE 3010A/B
DATA ENGINEERING AND MACHINE LEARNING
The course covers: 1) Introduction to data pipelines, distributed data management, and streamline data processing; 2) Data manipulation and data structure for big data; and 3) Design and implementation of an engineering group project illustrating the machine learning and data engineering concepts being taught.
Prerequisites & course information
Prerequisite(s): AISE 2205A/B (or SE 2205A/B ), AISE 2251A/B (or SE 2203A/B ), AISE 3309A/B (or SE 3309A/B ), Data Science 3000A/B . Extra Information: 3 lecture hours/week, 2 lab hour/week. Course Weight: 0.50
Sources
- Course catalogue ↗2026-2027