17-640 IoT, Big Data, and ML: A Hands-on Approach
12 units, Carnegie Mellon University
This course is designed to teach IoT concepts, big data, and machine learning techniques using a handson approach. An IoT system simulating an order fulfillment process is central to the handson learning of the concepts and techniques. Students will work in 45 person teams to enable the system and implement the requirements. In doing so, they will incorporate sound design principles of software engineering acquired in lectures. Students will capture the data generated during the execution of the system as it fulfills orders that are received from a frontend system developed by the students. Students will be expected to prepare, process, and model the data for statistical analysis applying techniques taught in class. They will then visualize, analyze and interpret the results, and implement improvements to obtain a 360degree experience of a business application using the automated system. This course will provide insight into the ways in which business enterprises think about leveraging technology and software in the management of their production operations. The course prepares students for professional opportunities requiring such skills allowing them to identify use cases that facilitate innovation and promote competitiveness.
Prerequisites: none listed
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