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ENSF612

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Engineering Large Scale Data Analytics Systems

Electrical and Software Engineering EN - Schulich School of Engineering

Subject

ENSF - Software Engineering for Engineers

Description

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, scalable data analysis frameworks, large scale data algorithms in selected application domains.

Prerequisite(s): Admission to the MEng with specialization in Software Engineering and completion of Software Engineering for Engineers 692, 693 and 694; or admission to the MEng with specialization in Software Engineering, foundation courses exempt cohort.

Antirequisite(s): Credit for Software Engineering for Engineers 612 and 619.28 (Large Scale Analytics Systems) will not be allowed.

Course Attributes

Fee Rate Group(Domestic) - B, Fee Rate Group(International) -D, GFC Hours (3-0)

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

LEC

Units

3

Repeat for Credit

No

Subject code

ENSF

Understanding Course Information

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