Search

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...

Students learn how to apply software development best practices to create the right product (validated), done right (verified), and managed right (through responsive and responsible process). They will learn the "what", "how", and "why" of agile practices, and the consequences for not following them...

Students explore web application development concepts and practices, including common full-stack architectures, server-side scripting languages and frameworks, and databases. Students learn the basics of server side-scripting and build a basic web application using contemporary languages, libraries...

Building on the knowledge and skills learned in Full Stack Web Development I, students explore intermediate web application development practices, including security and authentication, third-party APIs, web accessibility, advanced UI design techniques, contemporary front-end architectures and...

An introduction to the policies, mechanisms, and implementations of computer security. Provides an understanding of threats, including script kiddies; covert channels; and malicious logic such as viruses, worms, time bombs, and trap doors. Students will learn how attacks work, how to defend against...

When working with big data, we need to integrate heterogeneous data from a variety of sources and in a variety of formats to provide workable homogeneous data sets for further analysis or processing. Students write programs using a scripting language to extract, transform, merge, and clean data to...

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...