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DATA311

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Data Processing and Storage

Computer Science SC - Faculty of Science

Subject

DATA - Data Science

Description

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.

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.

Course Attributes

Fee Rate Group(Domestic) - A, Fee Rate Group(International) -A, GFC Hours (2-3)

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LAB

Component

LEC

Units

3

Repeat for Credit

No

Subject code

DATA
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