University of Calgary

SENG 550 - Engineering Large Scale Analytics Systems - Fall 2020

Sources and characteristics of large scale data, i.e., "big data", large scale data analysis, benefits of large scale data analysis to various industry domains, programming paradigms and middleware technologies for scalable data analysis, algorithms that enable large scale data processing, application of large scale data algorithms in selected application domains, e.g., Web user behaviour analysis and text processing, analytics frameworks.
This course may not be repeated for credit.

Hours

  • H(3-2)

Prerequisite(s)

  • 3 units from Software Engineering 300, 301 or Software Engineering for Engineers 480; and Computer Science 319 or 331.

Antirequisite(s)

  • Credit for Software Engineering 550 and 501.05 will not be allowed.

Sections

This course will be offered next in Fall 2021.
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