Lectures

The lectures of the course will be available according to the session and scheduling.

• 

  Reminder of Probability
  #1 Lecture1
  [Slide] [Jupyter Notebook]
• 

  Reminder of Random Variables
  #2 Lecture2
  [Slide] [Jupyter Notebook]
• 

  Function of Random Variables
  #3 Lecture3
  [Slide] [Jupyter Notebook]
• 

  Laplace and Z Transforms
  #4 Lecture4
  [Slide] [Jupyter Notebook]
• 

  Discrete Random Variables
  #5 Lecture5-1
  [Slide] [Jupyter Notebook]
• 

  Continious Random Variables
  #6 Lecture5-2
  [Slide] [Jupyter Notebook]
• 

  Stochastic Processes
  #7 Lecture6-1
  [Slide] [Jupyter Notebook]
• 

  Poisson Processes
  #8 Lecture6-2
  [Slide] [Jupyter Notebook]
• 

  DTMC
  #9 Lecture7-1
  [Slide] [Jupyter Notebook]
• 

  CTMC
  #10 Lecture7-2
  [Slide] [Jupyter Notebook]
• 

  Queueing Systems
  #11 Lecture8-1
  [Slide] [Jupyter Notebook]
• 

  Waiting Systems
  #12 Lecture8-2
  [Slide] [Jupyter Notebook]
• 

  Simulation
  #13 Lecture9
  [Slide] [Jupyter Notebook]