SIME6000
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Analytics for Systems Management
Mechanical Engineering
EN - J & M Price College of Eng.
Description
This course provides a broad overview of data analytics within engineering disciplines. Students will program in python and be able to read, visualize, analyze and interpret data to identify trends in order to improve and optimize systems. The topics covered include: arrays, loops, data structures, graphing data, hypothesis testing, regression, clustering, optimization search techniques and simple heuristics such as hill climbing and simulated annealing.
Minimum Credits
3
Maximum Credits
3
Repeat for Credit
No
Required Requisite(s):
012222