CEE 5930 - Data Analytics for Engineering Managers

(crosslisted) ENMGT 5930

Fall. 4 credits. Student option grading.

Prerequisite: CEE 3230 and CEE 3040, or equivalent.

L. Nozick.

Big data is transforming organizations enabling vast improvements in operating efficiency, market identification and segmentation, and many other domains. This course focuses on data collection at all scales, the transformation of that data into knowledge using a variety of data analytic techniques, and the integration of that knowledge into system models for decision-making to better manage organizations. Expertise in R will be developed throughout this course.

Outcome 1: Develop an ability to manage, analyze and interpret data.

Outcome 2: Improve the students’ ability to identify, formulate and solve engineering management problems.

Outcome 3: Develop the skills and techniques necessary to become an effective problem solver.