18-656A: Data Intensive Workflow Development for Software Engineers
Many software systems nowadays have become increasingly data intensive and data centered applications. Manipulating comprehensive datasets and heterogeneous data sources typically requires composing and executing a series of computational or data manipulation steps, called a workflow. A data-oriented workflow is a formal way of defining, automating, repeating and adapting multi-step computational procedures driven by data events. The primary objective of the course is to help students develop skills in engineering data-oriented workflows, in the context of service-oriented software engineering, big data, cloud computing, Internet of Things, social networking, and mobile computing. Core topics include: data-oriented workflow theory, models, languages, techniques, architectures, systems, tools; workflow discovery, reuse, recommendation, orchestrations and choreographies; workflow properties and data dependencies; data provenance capture, storage, retrieval, and mining; workflow execution, allocation, and optimization on cloud; workflow as a service, as well as collaborative data analytics on the Internet. Literature survey and study of state-of-the-art technologies, as well as both individual and group project work, are essential ingredients of this class. Research and practical projects build upon one another. Please note that this course is intended for ECE master students with a concentration in Software Engineering and will satisfy the Systems area requirement.
In Fall 2019 this course is broadcast to the Silicon Valley campus. ECE Silicon Valley students attend classes synchronously with students in Pittsburgh.
Last Modified: 2019-05-29 10:30AM
- Fall 2019