IE 330Engineering Analytics
The study and application of Computing, Information Technology and Analytics to Industrial Engineering. IE 330 Engineering Analytics (3) Engineering Analytics is a required course for all baccalaureate students in the Industrial Engineering major. It provides students with a quantitative background in descriptive analytics which deals with data mining, predictive analytics which deals with forecasting, and the use of Big Data in analysis. Examples of analytics will be presented in various industries including manufacturing, healthcare, and distribution. The students will learn to work in settings to make data-informed decisions from large data sets. Students taking this course should be familiar with differential and integral calculus, statistics, and basic computing.
Prerequisites
You need one from each line:
Where it sits in degree plans
Suggested plans most often put it in Year 3 · Spring (2 programs).
Required in (3)
- Industrial Engineering, B.S. (Behrend)
- Industrial Engineering, B.S. (Engineering)
- Information Sciences and Technology for Industrial Engineering, Minor
One of the options in (3)
- Interdisciplinary Business with Engineering Studies, B.S. (Behrend)
- Interdisciplinary Business with Engineering Studies, B.S. (Berks)
- Service Enterprise Engineering, Minor