MSDS 440-DL Full-Stack Data Engineering.

This course introduces the full-stack development process for data science. Students learn how to implement end-to-end applications using web-based technologies and the model-view-controller framework. They build real-time application servers, backend databases, and front-end interfaces. They create microservices that deploy machine learning algorithms. The course shows how to extract information from online resources. Graph theory, information retrieval, social media, and text analytics are discussed and employed in real-world applications. Students also learn design principles for implementing relational, document, and graph databases. This is a project-based course with a strong programming component. Prerequisites: (1) MSDS 420-DL Database Systems or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.

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