Data Science

(3 Credit Hours) · Undergraduate

Data mining and machine learning techniques have been widely used in many domains. The focus of this course will primarily be on fundamental concepts and methods in data science, with relevant inclusions and references from probability, statistics, pattern recognition, databases, and information theory. The course will give students an opportunity to implement and experiment with some of the concepts (e.g., data processing, classification, clustering, causality), and also apply them to the real-world data sets.