ISEN 311: Introduction to Data Analytics and Engineering

Course 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 inCSCE 110,CSCE 111,CSCE 120,CSCE 121, orCSCE 206; grade of C or better inSTAT 211; junior or senior classification.