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5:45 pm |
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Subject: Software Eng (Grad) (SEIS)
CRN: 30200
Lecture
St Paul: O'Shaughnessy Science Hall 328
Requirements Met:
Software Technical Elective
This course provides a broad introduction to the subject of data analysis by introducing common techniques that are essential for analyzing and deriving meaningful information from datasets. In particular, the course will focus on relevant methods for performing data collection, representation, transformation, and data-driven decision making. Students will also develop proficiency in the widely used R language which will be used throughout the course to reinforce the topics covered. Prerequisite: SEIS 601 or SEIS 603 (may be taken concurrently).
3 Credits