SOFE 4620U – Machine Learning and Data Mining

This course is offered in two parts. First part covers the discovery of new knowledge using various data mining techniques on real‐world datasets. Introducing the details of the current Algorithms in Data Mining and Machine Learning such as supervised and unsupervised learning, neural networks and deep learning, dimensionality reduction, and information theory is the fundamental context for this course. This course utilizes the latest blended learning techniques to explore topics in foundations of knowledge discovery and data mining; data mining approaches; and the application of data mining within such diverse domains as health care, business, supply chain and IT security. Current research directions, trends, issues and challenges are also explored. The second part will cover the applications of Machine Learning and Data mining in Internet of Things IoT) domain. Issues with the data extracted or collected from an IoT system are covered in two parts: 1) Mining time series data and 2) Introduction to streaming and real‐time data mining.
Credit hours: 3
Lecture hours: 3
Prerequisite(s): SOFE 3720U