IS 4311 Data Workflow Automation and Pre-Processing 3.0 Credits
Teaches reproducible, adaptable automation for data processing, analytics, and modeling lifecycles for practical data science, machine learning, and predictive analytics, with an emphasis on data acquisition, pre-processing, integration, and description. Covers data management and workflow automation tools; tracking and versioning data science code and artifacts; collaboration; experiment management; and integration with production deployment. Course project applies the principles in an end-to-end data-intensive project.
Repeat Status: Not repeatable for credit
Prerequisites: (IS 3330 [Min Grade: D] or CS 3520 [Min Grade: D] or IS 1310 [Min Grade: D] or INFO 213 [Min Grade: D] or CS 383 [Min Grade: D] or INFO 212 [Min Grade: D]) and (MATH 2801 [Min Grade: D] or MATH 1801 [Min Grade: D] or STAT 2201 [Min Grade: D] or PHYS 4801 [Min Grade: D] or BMES 2110 [Min Grade: D] or MATH 311 [Min Grade: D] or STAT 202 [Min Grade: D] or MATH 410 [Min Grade: D] or ECE 361 [Min Grade: D] or BMES 310 [Min Grade: D])