Mechanical & Industrial Engrg 621 - Descriptive Analytics

With the advancement of technology, the world is becoming increasingly data rich. Engineers are expected to use large quantities of data as they design and evaluate systems. However, these large amounts of data cannot inform decisions until they are statistically analyzed for patterns and translated into insight. This course will discuss and use the field of probability and statistics to demonstrate its importance and utility in the solution of problems specifically of interest to industrial engineering and engineering management. It will also require you to apply skills in the areas of data analytics, statistical modeling, and visualization to support decision-making processes. Topics include statistical data reduction, concepts of basic probability, sampling and inference, experimental design, and statistical methods for data analysis. Students will become well versed in effective data visualization and the use of the R statistical environment.

Open to Graduate students only. Undergraduate students require instructor permission to join.