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Subject: Software Eng (Grad) (SEIS)
CRN: 41029
Lecture
St Paul: O'Shaughnessy Science Hall 328
Requirements Met:
Software Data Mgmt Conc
Software Technical Elective
This course covers emerging big data architectures, predominately Hadoop and related technologies that deal with large amounts of unstructured and semi-structured data. Topics include operating system, architecture, security, big data structure and storage. The primary applications discussed in this class focus on information retrieval, specifically text processing techniques and algorithms, such as parsing, stemming, compression, and string searching. Information retrieval is also a great case study for broader issues in building systems that scale and perform, so we discuss associated issues in data structures, algorithms, computational complexity, and measurement. Prerequisites: (SEIS 601 or SEIS 603) and SEIS 630. May take concurrently with SEIS 737.
3 Credits