| 1 |
1/7 |
W |
Chpt 1: Motivating Examples on Queueing Theory. |
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| 2 |
1/12 |
M |
Chpt 2: Queueing Theory Notation/Vocabulary. |
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| 3 |
1/14 |
W |
Chpt 4: Simulating Random Variables |
HW 1 Due 1/16 |
| |
1/19 |
M |
MLK Day, NO CLASS |
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| 4 |
1/21 |
W |
Chpt 5: Convergence of Random Variables and Time Average versus Ensemble Average. |
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| 5 |
1/26 |
M |
It snowed. |
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| 6 |
1/28 |
W |
Chpt 6: Operational Laws (Little’s Law) |
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| 7 |
2/2 |
M |
It snowed, again. |
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| 8 |
2/4 |
W |
Chpt 7: Modification Analysis |
HW 2 Due 2/6 |
| |
2/9 |
M |
Well-being Day, NO CLASS |
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| 9 |
2/11 |
W |
Chpt 8: Discrete-time Markov Chains |
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| 10 |
2/16 |
M |
Chpt 8: Discrete-time Markov Chains |
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| 11 |
2/18 |
W |
Chpt 9: Ergodicity - Finite-state DTMCs |
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| 12 |
2/23 |
M |
Chpt 9: Ergodicity - Finite-state DTMCs |
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| 13 |
2/25 |
W |
Chpt 10: Introduction to Transform Analysis |
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| 14 |
3/2 |
M |
Chpt 11: Exponential Distribution |
HW 3 Due 3/2 |
| 15 |
3/4 |
W |
Chpt 11: Poisson Process |
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| 16 |
3/9 |
M |
Chpt 12,13: M/M/1 |
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| 17 |
3/11 |
W |
Chpt 14: M/M/k |
HW 4 Due 3/13 |
| |
3/16 |
M |
Spring Break, NO CLASS |
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| |
3/18 |
W |
Spring Break, NO CLASS |
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| 18 |
3/23 |
M |
Transform Analysis II |
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| 19 |
3/25 |
W |
Chpt 15: Capacity Provisioning |
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| 20 |
3/30 |
M |
Chpt 20: Pareto Distribution |
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| 21 |
4/1 |
W |
Chpt 21: Phase-type distributions + start Chpt23 |
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| 22 |
4/6 |
M |
Chpt 23: M/G/1 |
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| 23 |
4/8 |
W |
Chpt. 26 M/G/1 Busy Period and Transform |
HW 5 Due 4/10 |
| 24 |
4/13 |
M |
Scheduling I |
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| 25 |
4/15 |
W |
Scheduling II |
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| 26 |
4/20 |
M |
Scheduling III |
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| 27 |
4/22 |
W |
Scheduling IV |
HW 6 Due 4/24 |
| 28 |
4/27 |
M |
Paper Presentations |
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