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Lectures

Lecture slides

Lecture slides are uploaded a couple of days before the lecture.

Lecture topics

Below we list the approximate lecture topics and the related reading suggestions. (V1:1-3, 5-7 means the Virtamo notes, section 1: pages 1 to 3 and 5 to 7; N1.1-3 means the Nain notes sections 1.1 to 1.3. All ranges are inclusive final page or section).

  1. Introduction to queuing systems: course overview, queuing systems, stochastic processes recall. Reading: probability theory and transforms - basics (V1:1-21, V2:1-19,V3:1-19, V9:1-7).  
  2. Poisson process and Markov chains in continuous time (V7:1-15, V4:1-6, V5:1-8, N1.1).
  3. Birth-death process, Poisson process, Markovian queuing model, Little's theorem (V6:1-9, V8:1-7, V9:1-7, N1.2-3)
  4. M/M/1 (V12:1-12, N2.1).
  5. M/M/m/m - loss system (Erlang) (V10:1-10, N2.4).
  6. M/M/m - wait system (V12:13-20, N2.3-7).
  7. M/M/m/*/n - finite population systems (Engset) (V11:1-11).
  8. Semi-Markovian queuing systems: Er, Hr, method of stages (Kleinrock).
  9. M/G/1-system, Pollaczek-Khinchine mean value and transform equations (V13:1-25, N2.8).
  10. Priority service and service vacations (V14:1-10, N3).
  11. Open queuing networks (V15:1-5,9-12, N4.1).
  12. Course summary

Viktoria Fodor created page 15 October 2012

Teacher Viktoria Fodor changed the permissions 15 October 2012

Kan därmed läsas av alla och ändras av lärare.
Viktoria Fodor edited 17 October 2012

Lecture slides Lecture slides are uploaded a couple of days before the lecture.


* Lecture 1 - slides (pdf)
* Lecture 2 - slides (pdf)
* Lecture 3 - slides (pdf)
* Lectures 4-5 - slides (pdf)
* Lectures 5-7 - summary (pdf)
* Lecture 8 - slides (pdf)
* Lecture 9 - slides (pdf)
* Lecture 10 - slides (pdf)
* Lecture 11 - slides (pdf)
* Lecture 12 - slides (pdf)
Lecture topics Below we list the approximate lecture topics and the related reading suggestions. (V1:1-3, 5-7 means the Virtamo notes, section 1: pages 1 to 3 and 5 to 7; N1.1-3 means the Nain notes sections 1.1 to 1.3. All ranges are inclusive final page or section).


* Introduction to queuing systems: course overview, queuing systems, stochastic processes recall. Reading: probability theory and transforms - basics (V1:1-21, V2:1-19,V3:1-19, V9:1-7).  
* Poisson process and Markov chains in continuous time (V7:1-15, V4:1-6, V5:1-8, N1.1).
* Birth-death process, Poisson process, Markovian queuing model, Little's theorem (V6:1-9, V8:1-7, V9:1-7, N1.2-3)
* M/M/1 (V12:1-12, N2.1).
* M/M/m/m - loss system (Erlang) (V10:1-10, N2.4).
* M/M/m - wait system (V12:13-20, N2.3-7).
* M/M/m/*/n - finite population systems (Engset) (V11:1-11).
* Semi-Markovian queuing systems: Er, Hr, method of stages (Kleinrock).
* M/G/1-system, Pollaczek-Khinchine mean value and transform equations (V13:1-25, N2.8).
* Priority service and service vacations (V14:1-10, N3).
* Open queuing networks (V15:1-5,9-12, N4.1).
* Course summary

Viktoria Fodor edited 29 October 2012

Lecture slides Lecture slides are uploaded a couple of days before the lecture.


* Lecture 1 - slides (pdf)
* Lecture 2 - slides (pdf)
* Lecture 3 - slides (pdf)
* Lectures 4-5 - slides (pdf)
* Lectures 5-7 - summary (pdf)
* Lecture 8 - slides (pdf)
* Lecture 9 - slides (pdf)
* Lecture 10 - slides (pdf)
* Lecture 11 - slides (pdf)
* Lecture 12 - slides (pdf)
Lecture topics Below we list the approximate lecture topics and the related reading suggestions. (V1:1-3, 5-7 means the Virtamo notes, section 1: pages 1 to 3 and 5 to 7; N1.1-3 means the Nain notes sections 1.1 to 1.3. All ranges are inclusive final page or section).


* Introduction to queuing systems: course overview, queuing systems, stochastic processes recall. Reading: probability theory and transforms - basics (V1:1-21, V2:1-19,V3:1-19, V9:1-7).  
* Poisson process and Markov chains in continuous time (V7:1-15, V4:1-6, V5:1-8, N1.1).
* Birth-death process, Poisson process, Markovian queuing model, Little's theorem (V6:1-9, V8:1-7, V9:1-7, N1.2-3)
* M/M/1 (V12:1-12, N2.1).
* M/M/m/m - loss system (Erlang) (V10:1-10, N2.4).
* M/M/m - wait system (V12:13-20, N2.3-7).
* M/M/m/*/n - finite population systems (Engset) (V11:1-11).
* Semi-Markovian queuing systems: Er, Hr, method of stages (Kleinrock).
* M/G/1-system, Pollaczek-Khinchine mean value and transform equations (V13:1-25, N2.8).
* Priority service and service vacations (V14:1-10, N3).
* Open queuing networks (V15:1-5,9-12, N4.1).
* Course summary

Viktoria Fodor edited 5 November 2012

Lecture slides Lecture slides are uploaded a couple of days before the lecture.


* Lecture 1 - slides (pdf)
* Lecture 2 - slides (pdf)
* Lecture 3 - slides (pdf)
* Lectures 4-5 - slides (pdf)
* Lectures 5-7 - summary (pdf)
* Lecture 8 - slides (pdf)
* Lecture 9 - slides (pdf)
* Lecture 10 - slides (pdf)
* Lecture 11 - slides (pdf)
* Lecture 12 - slides (pdf)
Lecture topics Below we list the approximate lecture topics and the related reading suggestions. (V1:1-3, 5-7 means the Virtamo notes, section 1: pages 1 to 3 and 5 to 7; N1.1-3 means the Nain notes sections 1.1 to 1.3. All ranges are inclusive final page or section).


* Introduction to queuing systems: course overview, queuing systems, stochastic processes recall. Reading: probability theory and transforms - basics (V1:1-21, V2:1-19,V3:1-19, V9:1-7).  
* Poisson process and Markov chains in continuous time (V7:1-15, V4:1-6, V5:1-8, N1.1).
* Birth-death process, Poisson process, Markovian queuing model, Little's theorem (V6:1-9, V8:1-7, V9:1-7, N1.2-3)
* M/M/1 (V12:1-12, N2.1).
* M/M/m/m - loss system (Erlang) (V10:1-10, N2.4).
* M/M/m - wait system (V12:13-20, N2.3-7).
* M/M/m/*/n - finite population systems (Engset) (V11:1-11).
* Semi-Markovian queuing systems: Er, Hr, method of stages (Kleinrock).
* M/G/1-system, Pollaczek-Khinchine mean value and transform equations (V13:1-25, N2.8).
* Priority service and service vacations (V14:1-10, N3).
* Open queuing networks (V15:1-5,9-12, N4.1).
* Course summary

Viktoria Fodor edited 6 November 2012

Lecture slides Lecture slides are uploaded a couple of days before the lecture.


* Lecture 1 - slides (pdf)
* Lecture 2 - slides (pdf)
* Lecture 3 - slides (pdf)
* Lectures 4-5 - slides (pdf)
* Lectures 5-7 - summary (pdf)
* Lecture 8 - slides (pdf)
* Lecture 9 - slides (pdf)
* Lecture 10 - slides (pdf)
* Lecture 11 - slides (pdf)
* Lecture 12 - slides (pdf)
Lecture topics Below we list the approximate lecture topics and the related reading suggestions. (V1:1-3, 5-7 means the Virtamo notes, section 1: pages 1 to 3 and 5 to 7; N1.1-3 means the Nain notes sections 1.1 to 1.3. All ranges are inclusive final page or section).


* Introduction to queuing systems: course overview, queuing systems, stochastic processes recall. Reading: probability theory and transforms - basics (V1:1-21, V2:1-19,V3:1-19, V9:1-7).  
* Poisson process and Markov chains in continuous time (V7:1-15, V4:1-6, V5:1-8, N1.1).
* Birth-death process, Poisson process, Markovian queuing model, Little's theorem (V6:1-9, V8:1-7, V9:1-7, N1.2-3)
* M/M/1 (V12:1-12, N2.1).
* M/M/m/m - loss system (Erlang) (V10:1-10, N2.4).
* M/M/m - wait system (V12:13-20, N2.3-7).
* M/M/m/*/n - finite population systems (Engset) (V11:1-11).
* Semi-Markovian queuing systems: Er, Hr, method of stages (Kleinrock).
* M/G/1-system, Pollaczek-Khinchine mean value and transform equations (V13:1-25, N2.8).
* Priority service and service vacations (V14:1-10, N3).
* Open queuing networks (V15:1-5,9-12, N4.1).
* Course summary

Viktoria Fodor edited 14 November 2012

Lecture slides Lecture slides are uploaded a couple of days before the lecture.


* Lecture 1 - slides (pdf)
* Lecture 2 - slides (pdf)
* Lecture 3 - slides (pdf)
* Lectures 4-5 - slides (pdf)
* Lectures 5-7 - summary (pdf)
* Lecture 7 - slides (pdf) (New !!!)
* Lecture 8 - slides (pdf)
* Lecture 9 - slides (pdf)
* Lecture 10 - slides (pdf)
* Lecture 11 - slides (pdf)
* Lecture 12 - slides (pdf)
Lecture topics Below we list the approximate lecture topics and the related reading suggestions. (V1:1-3, 5-7 means the Virtamo notes, section 1: pages 1 to 3 and 5 to 7; N1.1-3 means the Nain notes sections 1.1 to 1.3. All ranges are inclusive final page or section).


* Introduction to queuing systems: course overview, queuing systems, stochastic processes recall. Reading: probability theory and transforms - basics (V1:1-21, V2:1-19,V3:1-19, V9:1-7).  
* Poisson process and Markov chains in continuous time (V7:1-15, V4:1-6, V5:1-8, N1.1).
* Birth-death process, Poisson process, Markovian queuing model, Little's theorem (V6:1-9, V8:1-7, V9:1-7, N1.2-3)
* M/M/1 (V12:1-12, N2.1).
* M/M/m/m - loss system (Erlang) (V10:1-10, N2.4).
* M/M/m - wait system (V12:13-20, N2.3-7).
* M/M/m/*/n - finite population systems (Engset) (V11:1-11).
* Semi-Markovian queuing systems: Er, Hr, method of stages (Kleinrock).
* M/G/1-system, Pollaczek-Khinchine mean value and transform equations (V13:1-25, N2.8).
* Priority service and service vacations (V14:1-10, N3).
* Open queuing networks (V15:1-5,9-12, N4.1).
* Course summary

Viktoria Fodor edited 19 November 2012

Lecture slides Lecture slides are uploaded a couple of days before the lecture.


* Lecture 1 - slides (pdf)
* Lecture 2 - slides (pdf)
* Lecture 3 - slides (pdf)
* Lectures 4-5 - slides (pdf)
* Lectures 5-7 - summary (pdf)
* Lecture 7 - slides (pdf) (New !!!)
* Lecture 8 - slides (pdf)
* Lecture 9 - slides (pdf)
* Lecture 10 - slides (pdf)
* Lecture 11 - slides (pdf)
* Lecture 12 - slides (pdf)
Lecture topics Below we list the approximate lecture topics and the related reading suggestions. (V1:1-3, 5-7 means the Virtamo notes, section 1: pages 1 to 3 and 5 to 7; N1.1-3 means the Nain notes sections 1.1 to 1.3. All ranges are inclusive final page or section).


* Introduction to queuing systems: course overview, queuing systems, stochastic processes recall. Reading: probability theory and transforms - basics (V1:1-21, V2:1-19,V3:1-19, V9:1-7).  
* Poisson process and Markov chains in continuous time (V7:1-15, V4:1-6, V5:1-8, N1.1).
* Birth-death process, Poisson process, Markovian queuing model, Little's theorem (V6:1-9, V8:1-7, V9:1-7, N1.2-3)
* M/M/1 (V12:1-12, N2.1).
* M/M/m/m - loss system (Erlang) (V10:1-10, N2.4).
* M/M/m - wait system (V12:13-20, N2.3-7).
* M/M/m/*/n - finite population systems (Engset) (V11:1-11).
* Semi-Markovian queuing systems: Er, Hr, method of stages (Kleinrock).
* M/G/1-system, Pollaczek-Khinchine mean value and transform equations (V13:1-25, N2.8).
* Priority service and service vacations (V14:1-10, N3).
* Open queuing networks (V15:1-5,9-12, N4.1).
* Course summary

Viktoria Fodor edited 21 November 2012

Lecture slides Lecture slides are uploaded a couple of days before the lecture.


* Lecture 1 - slides (pdf)
* Lecture 2 - slides (pdf)
* Lecture 3 - slides (pdf)
* Lectures 4-5 - slides (pdf)
* Lectures 5-7 - summary (pdf)
* Lecture 7 - slides (pdf) 
* Lecture 8 - slides (pdf)
* Lecture 10 - slides (pdf)
* Lecture 11 - slides (pdf)
* Lecture 12 - slides (pdf)
Lecture topics Below we list the approximate lecture topics and the related reading suggestions. (V1:1-3, 5-7 means the Virtamo notes, section 1: pages 1 to 3 and 5 to 7; N1.1-3 means the Nain notes sections 1.1 to 1.3. All ranges are inclusive final page or section).


* Introduction to queuing systems: course overview, queuing systems, stochastic processes recall. Reading: probability theory and transforms - basics (V1:1-21, V2:1-19,V3:1-19, V9:1-7).  
* Poisson process and Markov chains in continuous time (V7:1-15, V4:1-6, V5:1-8, N1.1).
* Birth-death process, Poisson process, Markovian queuing model, Little's theorem (V6:1-9, V8:1-7, V9:1-7, N1.2-3)
* M/M/1 (V12:1-12, N2.1).
* M/M/m/m - loss system (Erlang) (V10:1-10, N2.4).
* M/M/m - wait system (V12:13-20, N2.3-7).
* M/M/m/*/n - finite population systems (Engset) (V11:1-11).
* Semi-Markovian queuing systems: Er, Hr, method of stages (Kleinrock).
* M/G/1-system, Pollaczek-Khinchine mean value and transform equations (V13:1-25, N2.8).
* Priority service and service vacations (V14:1-10, N3).
* Open queuing networks (V15:1-5,9-12, N4.1).
* Course summary

Viktoria Fodor edited 26 November 2012

Lecture slides Lecture slides are uploaded a couple of days before the lecture.


* Lecture 1 - slides (pdf)
* Lecture 2 - slides (pdf)
* Lecture 3 - slides (pdf)
* Lectures 4-5 - slides (pdf)
* Lectures 5-7 - summary (pdf)
* Lecture 7 - slides (pdf) 
* Lecture 8 - slides (pdf)
* Lecture 9 - slides (pdf)
* Lecture 10 - slides (pdf)
* Lecture 11 - slides (pdf)
* Lecture 12 - slides (pdf)
Lecture topics Below we list the approximate lecture topics and the related reading suggestions. (V1:1-3, 5-7 means the Virtamo notes, section 1: pages 1 to 3 and 5 to 7; N1.1-3 means the Nain notes sections 1.1 to 1.3. All ranges are inclusive final page or section).


* Introduction to queuing systems: course overview, queuing systems, stochastic processes recall. Reading: probability theory and transforms - basics (V1:1-21, V2:1-19,V3:1-19, V9:1-7).  
* Poisson process and Markov chains in continuous time (V7:1-15, V4:1-6, V5:1-8, N1.1).
* Birth-death process, Poisson process, Markovian queuing model, Little's theorem (V6:1-9, V8:1-7, V9:1-7, N1.2-3)
* M/M/1 (V12:1-12, N2.1).
* M/M/m/m - loss system (Erlang) (V10:1-10, N2.4).
* M/M/m - wait system (V12:13-20, N2.3-7).
* M/M/m/*/n - finite population systems (Engset) (V11:1-11).
* Semi-Markovian queuing systems: Er, Hr, method of stages (Kleinrock).
* M/G/1-system, Pollaczek-Khinchine mean value and transform equations (V13:1-25, N2.8).
* Priority service and service vacations (V14:1-10, N3).
* Open queuing networks (V15:1-5,9-12, N4.1).
* Course summary

Viktoria Fodor edited 29 November 2012

Lecture slides Lecture slides are uploaded a couple of days before the lecture.


* Lecture 1 - slides (pdf)
* Lecture 2 - slides (pdf)
* Lecture 3 - slides (pdf)
* Lectures 4-5 - slides (pdf)
* Lectures 5-7 - summary (pdf)
* Lecture 7 - slides (pdf) 
* Lecture 8 - slides (pdf)
* Lecture 9 - slides (pdf)
* Lecture 10 - slides (pdf)
* Lecture 11 - slides (pdf)
* Lecture 12 - slides (pdf)
Lecture topics Below we list the approximate lecture topics and the related reading suggestions. (V1:1-3, 5-7 means the Virtamo notes, section 1: pages 1 to 3 and 5 to 7; N1.1-3 means the Nain notes sections 1.1 to 1.3. All ranges are inclusive final page or section).


* Introduction to queuing systems: course overview, queuing systems, stochastic processes recall. Reading: probability theory and transforms - basics (V1:1-21, V2:1-19,V3:1-19, V9:1-7).  
* Poisson process and Markov chains in continuous time (V7:1-15, V4:1-6, V5:1-8, N1.1).
* Birth-death process, Poisson process, Markovian queuing model, Little's theorem (V6:1-9, V8:1-7, V9:1-7, N1.2-3)
* M/M/1 (V12:1-12, N2.1).
* M/M/m/m - loss system (Erlang) (V10:1-10, N2.4).
* M/M/m - wait system (V12:13-20, N2.3-7).
* M/M/m/*/n - finite population systems (Engset) (V11:1-11).
* Semi-Markovian queuing systems: Er, Hr, method of stages (Kleinrock).
* M/G/1-system, Pollaczek-Khinchine mean value and transform equations (V13:1-25, N2.8).
* Priority service and service vacations (V14:1-10, N3).
* Open queuing networks (V15:1-5,9-12, N4.1).
* Course summary