University of Calgary

SENG 550 - Scalable Data Analytics - Fall 2024

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)

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

Antirequisite(s)

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

Sections

  • LEC 1TR 08:00 - 09:15
    LEC 2TR 11:00 - 12:15
    LAB 1W 08:00 - 09:50
    LAB 2W 11:00 - 12:50
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