Introduction to Data Analytics and Engineering

Catalog description

Credits 3. 3 Lecture Hours. Basic concepts in data engineering, including data acquisition, data management and models for learning with associated algorithms; iterative algorithms; tree-based and regression-based classification; graphs and graph-based methods; clustering; neural networks basics and their training; data structures for storing and processing data; introduction to databases. Prerequisites: Grade of C or better in CSCE 110 , CSCE 111 , CSCE 120 , CSCE 121 , or CSCE 206 ; grade of C or better in STAT 211 ; junior or senior classification.