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05/26 - 07/13 | ||||||
M | T | W | Th | F | Sa | Su |
5:45 pm |
5:45 pm |
Subject: Software Eng (Grad) (SEIS)
CRN: 30365
Online: Synchronous
Online
Requirements Met:
Software Technical Elective
[Students are expected to attend virtual class sessions and participate in online activities during the scheduled evening class times.] 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