University of Calgary

DATA 311 - Data Processing and Storage - Fall 2022

An introduction to fundamental data structures, including lists, stacks, trees, hash tables, and graphs, and their application for data processing, analysis, and storage. Covers the fundamental state of the art data modelling and manipulation techniques, with emphasis on emerging characteristics of big data, including volume, velocity, variety and veracity.
This course may not be repeated for credit.

Hours

  • H(2-3)

Prerequisite(s)

  • Data Science 201; and 3 units from Data Science 211, Computer Science 217, 231, 235, Engineering 233 or Digital Engineering 233.

Antirequisite(s)

  • Credit for Data Science 311 and either Computer Science 319 or 331 will not be allowed.

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