| Lecture no. | Content | Litterature | Exercises | Time and place |
| 1 | The Poisson process and its properties. | I2DES: 6.6,6.7
Lecture notes: ps pdf |
I2DES: 6.5,6.8,6.9,6.10 | |
| 2 | Discrete Time Markov Chains | I2DES: 7.1,7.2
Lecture notes: ps pdf |
I2DES: 7.2,7.6,7.7,7.8 | |
| 3 | Continuous Markov Chains | I2DES: 7.3,7.4
Lecture notes: ps pdf |
I2DES: 7.16,7.17,7.18,7.19 | |
| 4 | Queueing Theory Basics | I2DES: 8 - 8.6.2
Lecture notes: ps pdf |
I2DES: 8.1,8.2,8.4,8.5 | |
| 5 | Queueing Networks | I2DES: 8.7
Lecture notes: ps pdf |
I2DES: 8.11 , 8.12, 8.14 | |
| 6 | Non Markovian Queueing Systems | I2DES: 8.8 |
I2DES: Cassandras & Lafortune: "Introduction to Discrete Event Systems"