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Students examine the hardware and software components necessary to create an infrastructure capable of supporting informatics studies. Topics include CPU architectures that permit parallelism, CPU clusters, cloud computing and virtualization, and methods of effectively distributing data while...

Once data has been gathered, it must be cleaned, processed, and analyzed in order to find the most appropriate model to answer bioinformatics questions. Using case studies from biological data, health records and textual analysis, students learn concepts and techniques of data mining and machine...

Bioinformaticians uncover trends and patterns in data by creating and using effective visual formats. Students master techniques for effectively communicating both qualitative and quantitative data in tables, charts, infographics, and interactive elements. They learn the role and importance of...

Offers an intermediate to advanced practical treatment of the architecture of Web-based information systems. Topics include protocols; the role of clients, servers, gateways, and proxies; document markup languages; client and server side programming/scripting; database integration; server...

Covers the theory and application interface of operating systems including a basic introduction to distributed systems; process scheduling and management; memory management; file systems; I/O services; driver architecture; virtualization; operating system management and security. Labs focus on the...