ENCE603

Data Analytics for Project Managers

Reviews for this courseTestudo

Recommended: ENCE627. Introduction to identifying, analyzing, assessing, and managing data inherent to engineering projects. Includes: statistical principles, concepts, and models; decision science aspects of data systems; Bayesian methods; measurement theory; subjective aspects of statistics and data appraisal. Examples are drawn from software development, systems integration, and other large engineering projects. Covers statistical basics, subjective probability, Bayesian data analysis, introduction to decision theory, Monte Carlo simulation, value of information, and risk-based decision making from data.

Past Semesters

Gregory Baecher

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Average rating: N/A

Gregory Baecher

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Gregory Baecher

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Steven Gabriel

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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 3.44 between 45 students*

ENCE603 Grade Distribution+-051015202530354045505560% of studentsABCDFWother
A-: 13.33%
A: 37.78%
A+: 4.44%
B-: 6.67%
B: 13.33%
B+: 6.67%
C+: 2.22%
D: 2.22%
W: 2.22%
other: 11.11%
* "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.