| Code |
Course Name |
Language |
Type |
| SED 305 |
Introduction to Stochastic Modeling |
English |
Compulsory |
| Local Credits |
ECTS |
Theoretical |
Tutorial |
Laboratory |
| 3 |
4 |
3 |
0 |
0 |
| Course Prerequisites and Class Restriction |
| Prerequisites |
None |
| Class Restriction |
None |
| Course Description |
| Introduction to Probability Theory, Markov Chains, Classification of States, Limiting Probabilities, Mean Time Spent
in Transient States, Branching Processes, Exponential Distribution and Memoryless Property, Poisson Process,
Interarrival and Waiting Time Distributions, Continuous Time Markov Chains, Birth and Death Processes, Transient
Probability Function, Queuing Theory, Single-Server Exponential Queuing Systems, Network of Queues, M/G/1,
G/M/1, M/M/k, G/M/k and M/G/k Queuing Systems. |
|
