Course Description and Goals

Pre-requisites

CSC-121 Introduction to Computer Programming

Fulfills requirements

Core course requirement for Data Analytics minor
Human Behavior (HB) General Education Requirement (GER)
Pre-requisite for CSC-372: Machine Learning with Big Data

Course Description

This course focuses on the algorithms and computing tools fundamental to data science: the process of extracting accurate and generalizable models from data via machine learning. Topics will include the prediction of outcomes, the discovery of associations, and the identification of similar groups. Students will complete a project related to human behavior, starting with data collection and cleaning, culminating in the presentation of a model and visualization of results.

Course Goals

On successful completion of the course, the students should have the ability to identify and apply appropriate data mining and/or machine learning techniques towards solving problems of pattern recogition, learning and prediction. The course also aims to instill in students a deep sensitivity of issues of algorithmic bias and fairness in data mining.