Industrial and Systems Engineering 487:

Enterprise Data Analytics (4.0 units)

Methodology to store, organize, cleanse, harmonize and stage enterprise data for analytics. Report, visualize, slice and dice, forecast and predict trends.
  • Prerequisite: 1 from (ITP 249 or ITP 320 or DSCI 351)
  • Crosslist: This course is offered by the ITP department but may qualify for major credit in ISE. To register, enroll in ITP 487.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
31832D060Lecture-Lab2:00-3:50pmMon, Wed21 of 30Mike LeeONLINEPDF (551022 KB)session dates
31845D060Lecture-Lab12:00-1:50pmMon, Wed28 of 58Mike LeeONLINEPDF (551022 KB)session dates
31882D060Lecture-Lab2:00-3:50pmTue, Thu55 of 57Nitin KaleONLINEWord (237149 KB)session dates
Information accurate as of September 23, 2020 11:00 am.
The Fall 2020 semester will begin with fully remote instruction, with limited exceptions for clinical education. Faculty will contact students to provide information to login to classes. Read more.