CS 440 - Data Engineering

Credits: (3)

Instructional Method: Three hour lecture.
Prerequisites: A grade of ‘C’ or better in CS 220.
Cross-Listed: ITEC 540.

Project-based learning experience to acquire programming skills to ingest, transform, and explore data. Students gain hands-on experience: (1) building pipelines to collect, process, visualize, and store data, and (2) assessing data quality while exploring, cleaning, and preparing data for analysis, machine learning, and other data science applications. Emphasizes programming techniques for parallel and distributed environments including server clusters and cloud computing.