Basic skills needed to use the Internet. Web browsers, search strategies, basic Web page design, client-side and server-side programming, and cryptography. Malware and viruses, e-mail management and etiquette. Web-site management through UNIX commands, ftp file transfers, telnet sessions. Relevant and timely social, technical, and political topics. Not intended for Computer Science majors. Programming experience not required. Prerequisites: some hands-on experience with PCs or MACs or UNIX. (Gen.Ed. R2)

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Not available at this time

Not available at this time

In this course, students learn and gain practical experience with software engineering principles and techniques. The practical experience centers on a semester-long team project in which a software development project is carried through all the stages of the software life cycle. Topics in this course include requirements analysis, specification, design, abstraction, programming style, testing, maintenance, communication, teamwork, and software project management. Particular emphasis is placed on communication and negotiation skills and on designing and developing maintainable software.

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Machine learning is a scientific discipline that studies computational algorithms for the analysis of massive digital datasets for scientific exploration, commerce, social interaction, and entertainment. This course will cover the popular frameworks for learning, including supervised learning, reinforcement learning, and unsupervised learning, emphasizing the core mathematical and statistical foundations.

The theory seminar is a weekly meeting in which topics of interest in the theory of computation - broadly construed - are presented. This is sometimes new research by visitors or local people. It is sometimes work in progress, and it is sometimes recent material of others that some of us present in order to learn and share. This is a one-credit seminar which may be taken repeatedly for credit. May be repeated for credit up to six times.

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Not available at this time