Id: 042362 Credits Min: 3 Credits Max: 3

Description

Today, we are surrounded by data science applications. Smartphone and sensor data, medical and scientific data, financial data, web and text data, and social network data are just a few examples. As a result, mining useful information and discovering knowledge from such data are increasingly important. It is fair to say that, without data mining, we would not be able to make good use of this large amount of data. In this course, we learn the state-of-the-art techniques in data mining and analysis. Topics include types and properties of data, exploring data, classification, association analysis, cluster analysis, and anomaly detection.

Prerequisites

INFO.1600 Introduction to Information Systems, or Permission of Instructor.

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