ENPM808L

Advanced Topics in Engineering; Analytics for Decision Support

This course focuses on practical methods to extract meaningful insights from (internal and external) data sources and to communicate those findings to stakeholders. Students will use relevant tools, technologies and approaches for data manipulation, statistical analysis, predictive modeling, and visualization in case studies/projects. Students will use analytics tools and scripting languages for the implementation of projects. Some example languages/tools introduced are: Python and Tableau. Prior knowledge of scripting languages such as Python or R will be helpful - but not required.

Sister Courses: ENPM808, ENPM808A, ENPM808B, ENPM808C, ENPM808D, ENPM808E, ENPM808F, ENPM808G, ENPM808I, ENPM808J, ENPM808K, ENPM808M, ENPM808N, ENPM808O, ENPM808P, ENPM808Q, ENPM808R, ENPM808T, ENPM808V, ENPM808W, ENPM808X, ENPM808Y, ENPM808Z

Spring 2025

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Past Semesters

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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.64 between 46 students*

ENPM808L Grade Distribution+-05101520253035404550556065707580% of studentsABCDFWother
A-: 39.13%
A: 30.43%
A+: 8.7%
B: 6.52%
B+: 13.04%
W: 2.17%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.