Industrial and Systems Engineering 220:
Foundations of Probability Modeling (4.0 units)
Techniques for modeling uncertainty: discrete and continuous random variables, probability distributions, expectations and conditional probability; Poisson processes, Markov chains and queuing decision models.
- Prerequisite: MATH 126
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31518D | 001 | Lecture | 4:00-5:50pm | Mon, Wed | 29 of 35 | Kristin Sahyouni, Kurt Palmer | DMC261 |  | |
| 31638D | 001 | Lecture | 10:00-11:50am | Tue, Thu | 30 of 37 | Sze-Chuan Suen | ZHS163 | |