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Course Details
Fall 2009-2010
Course books
EvaluationORF 309 / EGR 309 / MAT 309
Probability and Stochastic Systems
An introduction to probability and its applications. Random variables, expectation, independence. Poisson processes, Markov chains, and Brownian motion. Stochastic models of queues, population dynamics, and reliability.
Sample reading list:
Ross, Introduction to Probability Models
Bremaud, An Introduction to Probabilistic Modeling
Cinlar, Introduction to Stochastic Processes
Reading/Writing assignments:
The ten chapters of Ross, spaced through the semester.
Requirements/Grading:
Mid Term Exam - 20%
Final Exam - 40%
Other Exam - 20%
Problem set(s) - 20%
Other Requirements:
Course is required for concentrators
Not Open to Freshmen.
Prerequisites and Restrictions:
MAT 201 or Permission Of Instructor..
Schedule/Classroom assignment:
| Class number | Section | Time | Days | Room | Enrollment | Status |
|---|---|---|---|---|---|---|
| 21672 | L01 | 11:00 am - 11:50 am | M W F | Friend Center of Engineering 101 | Enrolled:110 Limit:180 | |
| P01 | 7:30 pm - 8:20 pm | M | Enrolled:0 Limit:56 | |||
| P02 | 7:30 pm - 8:20 pm | T | Enrolled:0 Limit:56 | |||
| P03 | 3:30 pm - 4:20 pm | M | Friend Center of Engineering 108 | Enrolled:0 Limit:30 |