MATH 316 - Data Science Fundamentals

Class Hours: 3
Lab/Discussion: 0
Credits: 3

Prerequisite: COSC 341 and one of MATH 214 or MATH 216 or MATH 217
Introduces the field of data science by covering the methodology in which data-intensive problems are identified, defined, and solved. Investigates data analysis and data mining techniques for finding patterns in data that emphasize using data models, data gathering and storage, selection and preparing of data, model building and testing, and interpreting and validating results. Utilizes hands-on experiences with data science tools and techniques, specific topics include map-reduce and mining data streams. Includes techniques for visualizing patterns in data, including interactive visualization.