Johns Hopkins University 3 credits Computer Science
This course explores enterprise architectures for the development of scalable distributed systems. Effective patterns for distributed data access, MVC-based web tiers, and business logic components are explored as students build complex applications. Factors such as caching and clustering that enable distributed systems to scale to handle potentially thousands of users are a primary focus. In addition, creating a reusable blueprint for an enterprise architecture will be discussed. Applications developed utilizing these concepts are selected from current research topics in information retrieval, data visualization, and machine learning. Prerequisite(s): EN.605.202 Data Structures; EN.605.784 Enterprise Computing with Java, EN.605.707 Software Patterns, or equivalent experience is recommended.
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