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IE 322Probabilistic Models in Industrial Engineering

3 credits · Industrial Engineering · Penn State

The study and application of probability theory in the solution of engineering problems. I E 322 Probabilistic Models in Industrial Engineering (3)Probabilistic Models in Industrial Engineering is a first level junior course required for all the baccalaureate students in the Department of Industrial and Manufacturing Engineering. It exposes students to the probability theory and models and discrete and continuous probability distributions which are necessary for solving real life engineering problems with uncertainty. Reliability modeling, one such problem of interest to the manufacturers and consumers, will be taught in this course. The course will also cover sampling distributions and point and interval estimation of mean, variance and proportion. Students taking this course should be familiar with elementary algebra, and differential and integral calculus.

Before you enroll

Prerequisites

You need:

Where it fits

Where it sits in degree plans

Suggested plans most often put it in Year 2 · Spring (1 program).

Required in (3)

  • Industrial Engineering, B.S. (Behrend)
  • Industrial Engineering, B.S. (Engineering)
  • Six Sigma, Minor

One of the options in (1)

  • Service Enterprise Engineering, Minor
What it opens up

Courses that list IE 322 as a prerequisite (7)

  • IE 306 Machining Process Design & Analysis
  • IE 323 Statistical Methods in Industrial Engineering
  • IE 330 Engineering Analytics
  • IE 402 Advanced Engineering Economy
  • IE 425 Stochastic Models in Operations Research
  • IE 460 Service Systems Engineering
  • IE 478 Retail Services Engineering