IE 460: Industrial IoT

The course teaches basics of Industrial Internet of Things (IIoT). Investigation of data modeling, storage, acquisition and utilization in Industrial and service settings via computerized methods. It develops an understanding on the data generated by IIoT and how it is collected; recognizes the problems involved with gathering data and some approaches for addressing these problems; provides an overview of data storage; appreciate programming languages such as Python as time-saving tools for manipulating data, understand the process of data acquisition; analyze where to process data using Edge, Fog or Cloud; understand how, when and where to bundle and store IIoT data, appreciate the costs and benefits of live data versus stored data, learn how Python can be used to assist with analysis of large datasets, and understand some methods for cleaning, summarizing and visualizing large datasets.