Course Detail
Units:
3.0
Course Components:
Lecture
Enrollment Information
Enrollment Requirement:
Prerequisites: Graduate Standing OR Instructor Consent
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.